JAGANNATHAN J

@vit.ac.in

SCHOOL OF INFORMATION TECHNOLOGY AND ENGINEERING
VELLORE INSTITUTE OF TECHNOLOGY

JAGANNATHAN J


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https://researchid.co/jjagans91

RESEARCH, TEACHING, or OTHER INTERESTS

Computer Vision and Pattern Recognition, Artificial Intelligence, Computer Science, Computer Science Applications
32

Scopus Publications

281

Scholar Citations

8

Scholar h-index

6

Scholar i10-index

Scopus Publications

  • Optimized gated spatiotemporal graph attention network based diagnosis of facial expression through video games
    Purushottama Rao K, S Uma, Vijayaraj N, Jagannathan J, Sathya T, Tamilmani G
    Pattern Recognition, 2026
  • Transformers-Based Multi-Modal Deep Learning Framework for Early Cancer Detection Using ViT and Clinical Data Fusion
    Chockalingam Arumugam, P.S. Ramesh, J. Jagannathan, Senthilvadivu. S, I. Sudha, Seema Aparaj
    2026 2nd International Conference on Computing for Sustainability and Intelligent Future Comp Sif 2026, 2026
  • Land use classification using multi-year Sentinel-2 images with deep learning ensemble network
    J. Jagannathan, M. Thanjai Vadivel, C. Divya
    Scientific Reports, 2025
    Accurate land use classification is essential for urban planning, environmental monitoring, and agricultural management. Sentinel-2 satellite imagery provides rich spatial and spectral information suitable for this purpose. This study proposes a deep learning ensemble network named IRUNet, which integrates InceptionResNetV2 with a UNet framework for multi-year Sentinel-2 imagery classification over the Katpadi region (2017–2024). Unlike prior works, IRUNet utilizes multi-scale feature fusion and incorporates Test-Time Augmentation (TTA) to enhance prediction robustness. While the data spans multiple years, each year is treated as an independent input without modeling temporal sequences. The proposed method demonstrates superior performance over UNet, ResUNet, and Attention-UNet models, achieving an accuracy of 98.21% and Dice similarity coefficient (DSC) of 88.96%. Additional metrics including precision (94.71%), recall (89.19%), F1-score, and Kappa coefficient have been reported. This research contributes a high-performance, generalizable framework for multi-year land use classification.
  • Machine Learning-Enhanced MXene–Copper–Graphene THz Sensor for Accurate Salinity Sensing in Environmental Applications
    Jagannathan Jayachandran, V. Sivakumar, Vijayalakshmi K, Ngaira Mandela
    Plasmonics, 2025
  • A machine learning based model to predict household power consumption
    Manu, R. Raghavan, L. Thanga Mariappan, J. Jagannathand
    Progressive Computational Intelligence Information Technology and Networking, 2025
    We focus our work on predicting the future household electricity consumption. As we know for supervised learning algorithms need to feed the data and that part is taken care along with specifying a categorical target variable for carrying out suitable classification. That target variable is found to be independent and much assist for the role of modeling. Here the binary value one indicates Y axis modelled attribute and the value zero indicates for X axis modelled attribute. The experimental results are found to be more satisfactory with respect to the fixed aims.
  • Analyzing the impact of unexpected climate changes: A machine learning method for improved crop prediction
    J. Jagannathan, R. Raghavan, Harsh Raj, K. S. Pranav Dutthan, Tanushree Kaushik
    Progressive Computational Intelligence Information Technology and Networking, 2025
    In order to improve prediction accuracy, this study uses a machine learning approach to examine how abrupt climatic change affects crop productivity. The study involves the systematic finalization of key parameters influencing crop yield, followed by an evaluation of various machine-learning models. A comprehensive dataset, incorporating historical climate data, soil characteristics, and crop-related variables, will be collected and preprocessed. The selected machine learning model, demonstrating superior accuracy in predicting crops, will undergo optimization. This optimized model will serve as the foundation for developing a user-friendly web application aimed at empowering farmers of Telangana. By allowing farmers to input specific parameters related to their agricultural practices, the application will provide personalized recommendations regarding crop selection. By bridging the gap between cutting-edge technology and practical agricultural methods, this research hopes to develop precision farming and provide insightful information that will help increase agricultural productivity even in the face of abrupt climate change.
  • Integration of a Hybrid Model with XAI for Stock Price Forecasting: A Dashboard-Driven Approach
    Jagannathan J, Veera Venkata Shivamani Krishna Goditi
    2nd International Conference on IT Innovations and Knowledge Discovery Itikd 2024, 2025
    This paper on Integration of a Hybrid Model with XAI for Stock price Forecasting focuses on improving the accuracy and transparency of stock price predictions through a combined model of Long Short-Term Memory (LSTM) and MultiProphet, with an emphasis on explainable artificial intelligence (XAI). LSTM which is a deep learning model, is good at identifying patterns in time-series data. while MultiProphet which is an enhanced version of Facebook's Prophet model, effectively handles seasonal variations and anomalies in financial data. By integrating both models, the hybrid approach delivers more reliable stock forecasting. In addition, this project integrates XAI techniques like SHAP and LIME to offer greater insight into how the model generates predictions, which is crucial for informed financial decision-making. Dynamic dashboard provides an intuitive interface for users to track stock price trends, view forecasts, and access explanations of the model's predictions in real-time. This combination of improved prediction accuracy and model transparency enables better decision-making by stakeholders, who can base their actions on clear and interpretable information. Overall, the project represents a significant advancement in making advanced AI models more accessible and actionable in practical, user-oriented financial applications.
  • Collaboration of AI with Project Management
    J Jagannathan, S Kanishka, S Thanushree, M S Bhuvaneswari
    2nd International Conference on IT Innovations and Knowledge Discovery Itikd 2024, 2025
    In the area of driving technologies, synthetic intelligence (AI) is unexpectedly growing, and is opening manner for a future that's mostly led using the technology. Project control constitutes a crucial role in the modern and fast-changing environment. This paper focuses on the relationship between Artificial intelligence and Human Intelligence in performing control, with a view to identifying challenges and recommending appropriate solutions and approaches. The efficiency of AI and human collaboration for the enhancement of adaptive project management in dynamic environments. It works to combine the talents of human beings and the practicality of advanced computation to improve enterprise management. Dealing with the jobs at the same time in the changing environment is one of the large aspects that are involved in the control in undertaking and the same has been highlighted in the trouble statement. Project managers can turn out to be extra adaptable through the usage of both human creativity and synthetic intelligence ability in complicated situations, which regularly present challenging issues.
  • Air Quality Analysis: A Data-Driven Study of Indian Cities
    Jagannathan J, Shrivarshan N K, Sahana Mahesh, Anbarasakumar A
    2nd International Conference on IT Innovations and Knowledge Discovery Itikd 2024, 2025
    Air pollution remains a critical public health issue, particularly in rapidly urbanizing regions such as India. While existing studies have analyzed air quality globally, limited large-scale, data-driven research has been conducted exclusively for India. This study presents a novel approach by leveraging big data analytics and machine learning to examine the World Health Organization (WHO) Ambient Air Quality Database. Using Exploratory Data Analysis (EDA), we detect inconsistencies, validate assumptions, and analyze correlations between key pollutants, including particulate matter (PM2.5, PM10) and nitrogen dioxide (NO₂). Unlike traditional studies focusing on static trends, this research employs K-means clustering to dynamically classify air quality levels and identify pollution hotspots across Indian cities. By integrating meteorological parameters and utilizing advanced visualization techniques, we provide a scalable, data-driven framework for real-time air quality monitoring. Experimental results demonstrate that predictive analytics can effectively pinpoint critical pollution zones, offering actionable insights for policymakers to enhance air quality management. This study bridges a significant research gap by applying machine learning-driven analytics exclusively to India's air quality, providing a foundation for future policy interventions.
  • IPL Data Analysis by Web Scraping and Using PowerBI
    Mogith P, Mothiswar T B G, Mohammad Abubak, J. Jagannathan, N. Balaganesh
    2nd International Conference on IT Innovations and Knowledge Discovery Itikd 2024, 2025
    Cricket fans throughout the world avidly follow the Indian Premier League (IPL), a competition of great fame. The IPL data is examined in this using Exploratory Data Analysis (EDA) approaches to find hidden trends, patterns, and insights. Key findings are summarized in EDA, a critical stage of data processing that is frequently complemented with visual aids. Through EDA, the goal is to investigate several factors, including team performance, player data, match results, and venue effects. Data transformation, cleaning, and visualization will all be part of producing insightful findings. Win percentages, player averages, and run distributions are examples of key performance indicators (KPIs) that will be looked at. The analysis's findings will give teams, athletes, and supporters important new information.
  • Monitoring Incident Response Using Real-Time Analytics
    G. Mohanraj, R.K. Nadesh, Jagannathan J, Adityan S, V. Sathiyamoorthi
    2nd International Conference on IT Innovations and Knowledge Discovery Itikd 2024, 2025
  • Blockchain in academic libraries
    Mageshkumar Naarayanasamy Varadarajan, Viji C., J. Jagannathan, A. Mohanraj, Iyyappan Moorthi, Rajkumar N.
    Leveraging Blockchain for Future Ready Libraries, 2024
  • A novel Skin lesion prediction and classification technique: ViT-GradCAM
    Muhammad Shafiq, Kapil Aggarwal, Jagannathan Jayachandran, Gayathri Srinivasan, Rajasekhar Boddu, Adugna Alemayehu
    Skin Research and Technology, 2024
  • Visualization of Covid 19 pattern using machine learning
    M. Thanjaivadivel, Ignatious K. Pious, J. Jagannathang
    Artificial Intelligence Blockchain Computing and Security Proceedings of the International Conference on Artificial Intelligence Blockchain Computing and Security Icabcs 2023, 2024
  • SARIMA model to predict land surface temperature for the UHI effect
    J. Jagannathan, C. Divya, M. Thanjaivadivel
    Artificial Intelligence Blockchain Computing and Security Proceedings of the International Conference on Artificial Intelligence Blockchain Computing and Security Icabcs 2023, 2024
  • Advanced Multi-Spectral Image Processing Techniques for Enhanced Remote Sensing and Comprehensive Environmental Monitoring in Diverse Ecosystems
    J. Jagannathan, A. Ponmalar, Rajkumar Pandiarajan, I. Sudha, P.S. Ramesh
    IEEE International Conference on Recent Advances in Science and Engineering Technology Icraset 2024, 2024
  • Enhancing Healthcare Data Security in Cloud Computing Systems through Advanced Homomorphic Encryption Techniques Integrated with Cuckoo Search Optimization Algorithm
    I. Sudha, P.S. Ramesh, A. Ponmalar, J. Jagannathan, Rajkumar Pandiarajan
    IEEE International Conference on Recent Advances in Science and Engineering Technology Icraset 2024, 2024
  • Securing Multi-Tenant Cloud Environments with Fully Homomorphically Encrypted Secure Multiparty Computation
    A. Ponmalar, Rajkumar Pandiarajan, I. Sudha, P.S. Ramesh, J. Jagannathan
    IEEE International Conference on Recent Advances in Science and Engineering Technology Icraset 2024, 2024
  • Optimizing User Data Privacy and Confidentiality in Cloud Storage Systems Through Advanced Obfuscrypt Encryption Methods for Enhanced Security and Efficient Data Protection
    P.S. Ramesh, I. Sudha, J. Jagannathan, Rajkumar Pandiarajan, A. Ponmalar
    IEEE International Conference on Recent Advances in Science and Engineering Technology Icraset 2024, 2024
  • Advanced Machine Learning Algorithms for 1Predictive Analytics in Healthcare to Enhance Patient Outcomes with Data-Driven Insights
    Rajkumar Pandiarajan, J. Jagannathan, P.S. Ramesh, A. Ponmalar, Sudha
    IEEE International Conference on Recent Advances in Science and Engineering Technology Icraset 2024, 2024
  • Leveraging Blockchain Technology to Enhance Library Security
    Viji C., J. Jagannathan, Rajkumar N., A. Mohanraj, Balusamy Nachiappan, Judeson Antony J. Kovilpillai
    Enhancing Security and Regulations in Libraries with Blockchain Technology, 2024
  • Integrity Estimation of Twitter Based Event Recognition Using Scrutiny of Analyzed Data
    Siva Rama Lingham N, M Parameswari, Karthick P, T. Subha Rathi Priya, G Rajesh, J. Jagannathan
    2nd International Conference on Emerging Trends in Information Technology and Engineering Ic Etite 2024, 2024
  • Street Light Cum Garbage System Optimal Design Based on IOT
    Rajesh G, Deepa J, Ezilarasan M R, Syed Fiaz A S, Siva Rama Lingham N, J. Jagannathan
    2nd International Conference on Emerging Trends in Information Technology and Engineering Ic Etite 2024, 2024
  • Evaluating Water Quality through Macroinvertebrate Diversity and Physicochemical Parameters in the Thamirabarani River Basin
    Global Nest Journal, 2024
  • SARIMA model to predict land surface temperature for the UHI effect
    J. Jagannathan, C. Divya, M. Thanjaivadivel
    Artificial Intelligence Blockchain Computing and Security Volume 2, 2023
  • Visualization of Covid 19 pattern using machine learning
    M. Thanjaivadivel, Ignatious K. Pious, J. Jagannathang
    Artificial Intelligence Blockchain Computing and Security Volume 2, 2023
  • Hyper Spectral Spatial Image Segmentation Using Machine Learning Algorithms
    Saravanan G, Suresh A, Jagannathan J, Thanga Mariappan L, Najeem Dheen Abdul Majeeth, Nithish Kumar
    Proceedings 1st International Conference on Intelligent Technologies for Sustainable Electric and Communications Systems Itech Secom 2023, 2023
  • Deep learning for the prediction and classification of land use and land cover changes using deep convolutional neural network
    J. Jagannathan, C. Divya
    Ecological Informatics, 2021
  • Time series analyzation and prediction of climate using enhanced multivariate prophet
    Jagannathan J, Divya C
    International Journal of Engineering Trends and Technology, 2021
  • Design and simulated characteristics of nanosized InSb based heterostructure devices
    T. D. Subash, T. Gnanasekaran, C. Divya, J. Jagannathan
    Advances in Materials Science and Engineering, 2014
  • Relative analysis of GaAs, InSb, InP using QWFET
    T.D. Subash, T. Gnanasekaran, J. Jagannathan, C. Divya
    Advanced Materials Research, 2014
  • License plate character segmentation using horizontal and vertical projection with dynamic thresholding
    J. Jagannathan, A. Sherajdheen, R. Muthu Vijay Deepak, N. Krishnan
    2013 IEEE International Conference on Emerging Trends in Computing Communication and Nanotechnology ICE Ccn 2013, 2013

RECENT SCHOLAR PUBLICATIONS

  • Optimized gated spatiotemporal graph attention network based diagnosis of facial expression through video games
    P Rao, S Uma
    Pattern Recognition 175, 112991 , 2026
    2026
  • Transformers-Based Multi-Modal Deep Learning Framework for Early Cancer Detection Using ViT and Clinical Data Fusion
    C Arumugam, PS Ramesh, J Jagannathan, I Sudha, S Aparaj
    2026 2nd International Conference on Computing for Sustainability and … , 2026
    2026
  • Land use classification using multi-year Sentinel-2 images with deep learning ensemble network
    J Jagannathan, MT Vadivel, C Divya
    Scientific Reports 15 (1), 29047 , 2025
    2025
    Citations: 13
  • Machine Learning-Enhanced MXene–Copper–Graphene THz Sensor for Accurate Salinity Sensing in Environmental Applications
    J Jayachandran, V Sivakumar, V K, N Mandela
    Plasmonics, 1-11 , 2025
    2025
    Citations: 9
  • A machine learning based model to predict household power consumption
    R Raghavan, LT Mariappan, J Jagannathand
    Progressive Computational Intelligence, Information Technology and … , 2025
    2025
  • IPL Data Analysis by Web Scraping and Using PowerBI
    P Mogith, TBG Mothiswar
    2024 International Conference on IT Innovation and Knowledge Discovery … , 2025
    2025
  • Monitoring Incident Response Using Real-Time Analytics
    G Mohanraj, RK Nadesh, V Sathiyamoorthi
    2024 International Conference on IT Innovation and Knowledge Discovery … , 2025
    2025
    Citations: 2
  • Collaboration of AI with Project Management
    J Jagannathan, S Kanishka, S Thanushree, MS Bhuvaneswari
    2024 International Conference on IT Innovation and Knowledge Discovery … , 2025
    2025
    Citations: 2
  • Integration of a hybrid model with XAI for stock price forecasting: A dashboard-driven approach
    J Jagannathan, VVSK Goditi
    2024 International Conference on IT Innovation and Knowledge Discovery … , 2025
    2025
    Citations: 3
  • Air Quality Analysis: A Data-Driven Study of Indian Cities
    J Jagannathan, NK Shrivarshan, A Anbarasakumar
    2024 International Conference on IT Innovation and Knowledge Discovery … , 2025
    2025
  • Privacy-Aware Ransomware Detection in Cloud Environments Using a Hybrid ReLU-GRU, Adaptive Ant Colony Optimization, and Shannon Entropy Framework
    J Jagannathan
    2025
  • WEATHER PREDICTON DEVICE
    DJ Jagannathan, DA Anbarasakumar
    IN Patent 436768-001 , 2025
    2025
  • Synergizing blockchain and collaborative networks
    B Nachiappan, N Rajkumar, J Jagannathan, A Mohanraj, N Karthikeyan, ...
    Leveraging Blockchain for Future-Ready Libraries, 285-318 , 2025
    2025
    Citations: 4
  • Blockchain in academic libraries
    MN Varadarajan, C Viji, J Jagannathan, A Mohanraj, I Moorthi, ...
    Leveraging Blockchain for Future-Ready Libraries, 1-32 , 2025
    2025
    Citations: 2
  • Leveraging blockchain technology to enhance library security
    C Viji, J Jagannathan, N Rajkumar, A Mohanraj, B Nachiappan, ...
    Enhancing Security and Regulations in Libraries with Blockchain Technology … , 2025
    2025
    Citations: 9
  • Advanced Machine Learning Algorithms for 1Predictive Analytics in Healthcare to Enhance Patient Outcomes with Data-Driven Insights
    R Pandiarajan, J Jagannathan, PS Ramesh, A Ponmalar
    2024 International Conference on Recent Advances in Science and Engineering … , 2024
    2024
    Citations: 6
  • Securing Multi-Tenant Cloud Environments with Fully Homomorphically Encrypted Secure Multiparty Computation
    A Ponmalar, R Pandiarajan, I Sudha, PS Ramesh, J Jagannathan
    2024 International Conference on Recent Advances in Science and Engineering … , 2024
    2024
    Citations: 1
  • Advanced multi-spectral image processing techniques for enhanced remote sensing and comprehensive environmental monitoring in diverse ecosystems
    J Jagannathan, A Ponmalar, R Pandiarajan, I Sudha, PS Ramesh
    2024 International Conference on Recent Advances in Science and Engineering … , 2024
    2024
    Citations: 4
  • Enhancing Healthcare Data Security in Cloud Computing Systems through Advanced Homomorphic Encryption Techniques Integrated with Cuckoo Search Optimization Algorithm
    I Sudha, PS Ramesh, A Ponmalar, J Jagannathan, R Pandiarajan
    2024 International Conference on Recent Advances in Science and Engineering … , 2024
    2024
  • Optimizing User Data Privacy and Confidentiality in Cloud Storage Systems Through Advanced Obfuscrypt Encryption Methods for Enhanced Security and Efficient Data Protection
    PS Ramesh, I Sudha, J Jagannathan, R Pandiarajan, A Ponmalar
    2024 International Conference on Recent Advances in Science and Engineering … , 2024
    2024
    Citations: 4

MOST CITED SCHOLAR PUBLICATIONS

  • Deep learning for the prediction and classification of land use and land cover changes using deep convolutional neural network
    J Jagannathan, C Divya
    Ecological Informatics 65, 101412 , 2021
    2021
    Citations: 88
  • License plate Character Segmentation using horizontal and vertical projection with dynamic thresholding
    J Jagannathan, A Sherajdheen, RMV Deepak, N Krishnan
    International Conference on Emerging Trends in Computing, Communication and … , 2013
    2013
    Citations: 36
  • Evaluation of occupational stress management for improving performance and productivity at workplaces by monitoring the health, well-being of workers
    M Chen, B Ran, X Gao, G Yu, JJ Wang, Jing
    Aggression and Violent Behavior, 101713 , 2021
    2021
    Citations: 32
  • RETRACTED: A novel Skin lesion prediction and classification technique: ViT‐GradCAM
    M Shafiq, K Aggarwal, J Jayachandran, G Srinivasan, R Boddu, ...
    Skin Research and Technology 30 (9), e70040 , 2024
    2024
    Citations: 21
  • Land use classification using multi-year Sentinel-2 images with deep learning ensemble network
    J Jagannathan, MT Vadivel, C Divya
    Scientific Reports 15 (1), 29047 , 2025
    2025
    Citations: 13
  • Time series analyzation and prediction of climate using enhanced multivariate prophet
    J Jagannathan, C Divya
    International Journal of Engineering Trends and Technology 69 (10), 89-96 , 2021
    2021
    Citations: 12
  • Machine Learning-Enhanced MXene–Copper–Graphene THz Sensor for Accurate Salinity Sensing in Environmental Applications
    J Jayachandran, V Sivakumar, V K, N Mandela
    Plasmonics, 1-11 , 2025
    2025
    Citations: 9
  • Leveraging blockchain technology to enhance library security
    C Viji, J Jagannathan, N Rajkumar, A Mohanraj, B Nachiappan, ...
    Enhancing Security and Regulations in Libraries with Blockchain Technology … , 2025
    2025
    Citations: 9
  • Advanced Machine Learning Algorithms for 1Predictive Analytics in Healthcare to Enhance Patient Outcomes with Data-Driven Insights
    R Pandiarajan, J Jagannathan, PS Ramesh, A Ponmalar
    2024 International Conference on Recent Advances in Science and Engineering … , 2024
    2024
    Citations: 6
  • Evaluating Water Quality through Macroinvertebrate Diversity and Physicochemical Parameters in the Thamirabarani River Basin
    P Kasinathan, J Jayachandran, RJ Chitra, M Egambaram, S Manivel, ...
    GLOBAL NEST JOURNAL 26 (10) , 2024
    2024
    Citations: 5
  • Security and confidentiality in healthcare
    YY Al-Salqan, J Jagannathan
    IEEE International Workshops on informatics Enabling Technologies … , 1998
    1998
    Citations: 5
  • Synergizing blockchain and collaborative networks
    B Nachiappan, N Rajkumar, J Jagannathan, A Mohanraj, N Karthikeyan, ...
    Leveraging Blockchain for Future-Ready Libraries, 285-318 , 2025
    2025
    Citations: 4
  • Advanced multi-spectral image processing techniques for enhanced remote sensing and comprehensive environmental monitoring in diverse ecosystems
    J Jagannathan, A Ponmalar, R Pandiarajan, I Sudha, PS Ramesh
    2024 International Conference on Recent Advances in Science and Engineering … , 2024
    2024
    Citations: 4
  • Optimizing User Data Privacy and Confidentiality in Cloud Storage Systems Through Advanced Obfuscrypt Encryption Methods for Enhanced Security and Efficient Data Protection
    PS Ramesh, I Sudha, J Jagannathan, R Pandiarajan, A Ponmalar
    2024 International Conference on Recent Advances in Science and Engineering … , 2024
    2024
    Citations: 4
  • Evaluation of the climate change in India using machine learning
    J Jagannathan, C Divya, T Vadivel, R Raghavan
    Artificial Intelligence and Information Technologies, 187-193 , 2024
    2024
    Citations: 4
  • Design and simulated characteristics of nanosized InSb based heterostructure devices
    TD Subash, T Gnanasekaran, C Divya, J Jagannathan
    Advances in Materials Science and Engineering 2014 (1), 196732 , 2014
    2014
    Citations: 4
  • Integration of a hybrid model with XAI for stock price forecasting: A dashboard-driven approach
    J Jagannathan, VVSK Goditi
    2024 International Conference on IT Innovation and Knowledge Discovery … , 2025
    2025
    Citations: 3
  • Street Light Cum Garbage System Optimal Design Based on IOT
    G Rajesh, J Deepa, MR Ezilarasan, AS Syed Fiaz, N Siva Rama Lingham
    2024 Second International Conference on Emerging Trends in Information … , 2024
    2024
    Citations: 3
  • Hyper Spectral Spatial Image Segmentation Using Machine Learning Algorithms
    G Saravanan, A Suresh, J Jagannathan, L Thanga Mariappan
    2023 International Conference on Intelligent Technologies for Sustainable … , 2023
    2023
    Citations: 3
  • Relative analysis of GaAs, InSb, InP using QWFET
    TD Subash, T Gnanasekaran, J Jagannathan, C Divya
    Advanced Materials Research 984, 1080-1084 , 2014
    2014
    Citations: 3