MOOLCHAND SHARMA

Scopus Publications

Editorial: Computational intelligence for multimodal biomedical data fusion
Moolchand Sharma, Umesh Gupta, Oana Geman
Frontiers in Artificial Intelligence, 2026
This Research Topic, Computational Intelligence for Multimodal Biomedical Data Fusion, was established to explore innovative computational intelligence techniques capable of integrating multiple biomedical data modalities. By leveraging advanced machine learning, deep learning architectures, and intelligent data fusion strategies, researchers are developing models that extract meaningful patterns from diverse biomedical datasets. Such systems are increasingly enabling early disease detection, accurate diagnosis, improved patient monitoring, and the advancement of personalized healthcare.A central motivation behind this Research Topic was to address key challenges in multimodal data integration. Biomedical datasets often differ in temporal resolution, noise characteristics, format, and scale. Furthermore, ensuring interpretability, reliability, and security of AI-based healthcare systems remains essential for clinical adoption. The articles included in this Topic demonstrate innovative solutions that address these challenges while presenting practical applications across different biomedical domains.Across the five contributions included in this Research Topic, several common methodological threads emerge that highlight the evolving landscape of computational intelligence for multimodal biomedical data fusion. A central theme is the integration of heterogeneous biomedical modalities-such as physiological signals, medical imaging, electronic health records, and other clinical data-through advanced machine learning and deep learning architectures. The studies collectively demonstrate the growing adoption of multimodal learning frameworks that combine complementary data sources to produce richer feature representations and improve predictive performance in healthcare analytics. Techniques such as ensemble learning, graph-based modeling, deep neural networks, and fusion-driven time-series analysis illustrate the diversity of computational strategies used to capture complex relationships within biomedical datasets. These approaches reflect a broader shift toward data-driven healthcare systems where intelligent fusion of multiple modalities enables more comprehensive patient modeling and supports improved diagnostic and prognostic decision-making.While the contributions in this Research Topic demonstrate promising advances in multimodal biomedical analytics, several translational challenges remain for their effective adoption in realworld healthcare environments. One key issue is the heterogeneity of biomedical data modalities, which often differ in format, scale, temporal resolution, and data quality. Integrating such diverse data sources requires robust preprocessing, standardized data representations, and scalable computational frameworks. In addition, the deployment of AI-driven healthcare systems must address concerns related to model validation, interpretability, and reliability to ensure that predictions can be trusted by clinicians and healthcare practitioners. Data privacy and security are also critical considerations, particularly when dealing with sensitive patient information across distributed healthcare infrastructures. Consequently, future research must focus not only on improving predictive performance but also on ensuring transparency, ethical data governance, and robust clinical validation to enable safe and effective integration of multimodal AI systems into clinical workflowsIn summary, this Research Topic provides valuable insights into the emerging landscape of computational intelligence for multimodal biomedical data fusion. The contributions demonstrate how innovative AI-driven methodologies can enhance biomedical data analysis and support improved healthcare outcomes. We hope that the research presented in this collection will inspire further interdisciplinary collaboration and encourage continued advancements in intelligent biomedical data integration.
Fitness with AI: Realtime Pose Estimation Using Deep Learning
Umesh Gupta, Rajiv Kumar, Kashish Sethi, Jayesh Bayla, Moolchand Sharma
Lecture Notes in Networks and Systems, 2026
Preface
Transforming Healthcare with AI and Iot Intelligent Solutions for A Digital Future, 2026
Email Spam Detection Using Machine Learning
Vikas Chaudhary, Moolchand Sharma, Shailesh Kumar Yadav, Saurav Gautam, Aashish Raj
Lecture Notes in Networks and Systems, 2026
Transforming Healthcare With AI And IoT: Intelligent Solutions for a Digital Future
Bal Virdee, Ummer Iqbal, Ashish Khanna, Moolchand Sharma, Roman Danel
Transforming Healthcare with AI and Iot Intelligent Solutions for A Digital Future, 2026
A Performance Comparison of Machine Learning Models for Rain Prediction
Anant Aggarwal, Lalit Agarwal, Bhanu Prakash Reddy Rella, Neelu Nagpal, Dinesh Kalla, Moolchand Sharma
Lecture Notes in Networks and Systems, 2026
A Comparative Analysis of REST and GraphQL
Vikas Chaudhary, Moolchand Sharma, Bhanu Prakash Reddy Rella, Gautam Sharma, Aryan Jaiswal, Yuvraj Singh
Lecture Notes in Networks and Systems, 2026
Bioinformatics and beyond: AI applications in healthcare
Moolchand Sharma, Deepak Kumar Sharma, Deevyankar Agarwal, Khoula Al Harthy
Bioinformatics and Beyond AI Applications in Healthcare, 2025
This book is a comprehensive exploration of the dynamic interplay between bioinformatics and artificial intelligence (AI) within the healthcare landscape. This book introduces readers to the foundational principles of bioinformatics and AI, elucidating their integration and collaborative potential.
Preface
Bioinformatics and Beyond AI Applications in Healthcare, 2025
Optimizing hybrid deep learning models for drug-target interaction prediction: A comparative analysis of evolutionary algorithms
Moolchand Sharma, Aryan Bhatia, Akhil, Ashit Kumar Dutta, Shtwai Alsubai
Expert Systems, 2025
In the realm of Drug‐Target Interaction (DTI) prediction, this research investigates and contrasts the efficacy of diverse evolutionary algorithms in fine‐tuning a sophisticated hybrid deep learning model. Recognizing the critical role of DTI in drug discovery and repositioning, we tackle the challenges of binary classification by reframing the problem as a regression task. Our focus lies on the Convolution Self‐Attention Network with Attention‐based bidirectional Long Short‐Term Memory Network (CSAN‐BiLSTM‐Att), a hybrid model combining convolutional neural network (CNN) blocks, self‐attention mechanisms, and bidirectional LSTM layers. To optimize this complex model, we employ Differential Evolution (DE), Particle Swarm Optimization (PSO), Memetic Particle Swarm Optimization Algorithm (MPSOA), Fire Hawk Optimization (FHO), and Artificial Hummingbird Algorithm (AHA). Through thorough comparative analysis, we evaluate the performance of these evolutionary algorithms in enhancing the CSAN‐BiLSTM‐Att model's effectiveness. By examining the strengths and weaknesses of each algorithm, our study aims to provide valuable insights into DTI prediction, identifying the most effective evolutionary algorithm for hyperparameter tuning in advanced deep learning models. Notably, Fire‐hawk optimization (FHO) emerges as particularly promising, achieving the highest Concordance Index (C‐index) as 0.974 for KIBA datasets and 0.894 for DAVIS datasets and demonstrating exceptional accuracy in ranking continuous predictions across both the datasets.
Preface
Green Innovations in Computational Intelligence Sustainable Strategies and Emerging Technologies, 2025
Green Innovations in Computational Intelligence: Sustainable Strategies and Emerging Technologies
Green Innovations in Computational Intelligence Sustainable Strategies and Emerging Technologies, 2025
Generative Intelligence in Healthcare: Transforming Patient Care with AI Creativity
Sakshi Gupta, Umesh Gupta, Moolchand Sharma, Kamal Malik
Generative Intelligence in Healthcare Transforming Patient Care with AI Creativity, 2025
A Comparative Study of Intrusion Detection Systems Using Machine Learning
Vikas Chaudhary, Moolchand Sharma, Sakshi, Aneesha Jaiswal, Sruti Srivastava
Lecture Notes in Networks and Systems, 2025
Hybrid Metaheuristic Optimization for Multi-Objective Scheduling in Smart Manufacturing Systems
Shrutika Prakash Mokashi, Jay hemantkumar Shah, Vaibhav Mishra, Krishna Mula, Moolchand Sharma
Proceedings of the 2025 3rd International Conference on Advances in Computation Communication and Information Technology Icaiccit 2025, 2025
Revolutionizing Accessibility: Enhancing Human–Computer Interaction with Hand Gestures, Sign Language, and AI Integration
Arvind Kumar Meena, Vivek Sagar, Rupali Srivastava, Moolchand Sharma, Deevyankar Agarwal, Yogita Thareja
Lecture Notes in Networks and Systems, 2025
Detection of Sleep Apnea Using Random Forest Classifier and 1D Deep Convolutional Neural Network (CNN)
Akanksha Kochhar, Ananya Sharma, Shivani Goyal, Archie Vijay, Khushi, Moolchand Sharma
Lecture Notes in Networks and Systems, 2025
Optimized differential evolution and hybrid deep learning for superior drug-target binding affinity prediction
Aryan Bhatia, Moolchand Sharma, Eatedal Alabdulkreem, Nuha Alruwais, Muhammad Kashif Saeed, Abdulsamad Ebrahim Yahya
Alexandria Engineering Journal, 2024
Ensemble methods for computed tomography scan images to improve lung cancer detection and classification
Syeda Reeha Quasar, Rishika Sharma, Aayushi Mittal, Moolchand Sharma, Deevyankar Agarwal, Isabel de La Torre Díez
Multimedia Tools and Applications, 2024
Comparative analysis of machine learning-based approaches for prediction of colon cancer
Shubhangi Bhargava, Adarsh Kumar, Moolchand Sharma, Indu Bharadwaj, Victor Hugo C. de Albuquerque
Aip Conference Proceedings, 2024
Modeling EfficientNet-B3 model for AI-based COVID-19 detection in chest x-rays
Abhay Tripathi, Ahmed Alkhayyat, Arvind Kumar Bhatt, Moolchand Sharma, Tariq Hussain Sheikh
Aip Conference Proceedings, 2024
Socio-analyzer: A sentiment analysis of #MeToo tweets using artificial recurrent neural network
Moolchand Sharma, Harsh Gunwant, Ahmed Alkhayyat, Ashish Khanna, Kushagra Sharma
Aip Conference Proceedings, 2024
Enhancing image captioning performance based on efficientnet B0 model and transformer encoder-decoder
Abhisht Joshi, Ahmed Alkhayyat, Harsh Gunwant, Abhay Tripathi, Moolchand Sharma
Aip Conference Proceedings, 2024
Automatic rigging of 3D models with stacked hourglass networks and descriptors
Ritika Verma, Sarthak Mittal, Siddharth Pawar, Moolchand Sharma, Shalini Goel, Victor Hugo C. de Albuquerque
Aip Conference Proceedings, 2024
Offensive Tweets Detection in Hinglish Using HingBERT
Lakshit Jain, Moolchand Sharma, Zainab R. Abdulsada
Lecture Notes in Networks and Systems, 2024
Safeguarding Privacy and Security in AI-Enabled Healthcare Informatics
Akanksha Kochhar, Ganeev Kaur Chhabra, Toshika Goswami, Moolchand Sharma
Generative Artificial Intelligence for Biomedical and Smart Health Informatics, 2024
Content Moderation System Using Machine Learning Techniques
Gaurav Gulati, Harsh Anand Jha, Rajat Jain, Moolchand Sharma, Vikas Chaudhary
Lecture Notes in Networks and Systems, 2024
Analyzing the Feasibility of Bert Model for Toxicity Analysis of Text
Yuvraj Chakraverty, Aman Kaintura, Bharat Kumar, Ashish Khanna, Moolchand Sharma, Piyush Kumar Pareek
Lecture Notes in Networks and Systems, 2024
Traffic Sign Detection and Recognition Using Ensemble Object Detection Models
Syeda Reeha Quasar, Rishika Sharma, Aayushi Mittal, Moolchand Sharma, Prerna Sharma, Ahmed Alkhayyat
Lecture Notes in Networks and Systems, 2024
Preface
Explainable Artificial Intelligence for Autonomous Vehicles Concepts Challenges and Applications, 2024
Explainable Artificial Intelligence for Autonomous Vehicles: Concepts, Challenges, and Applications
Kamal Malik, Moolchand Sharma, Suman Deswal, Umesh Gupta, Deevyankar Agarwal, Yahya Obaid Bakheet Al Shamsi
Explainable Artificial Intelligence for Autonomous Vehicles Concepts Challenges and Applications, 2024
Image Denoising Using Autoencoder: Utilizing Deep Learning and Autoencoder Techniques to Enhance Natural Images by Eliminating Noisy Pixels and Grains
Akanksha Kochhar, Rishabh Jain, Richa Kaushik, Piyush Thakur, Navya Mittal, Anjali Singh, Moolchand Sharma
Lecture Notes in Networks and Systems, 2024
Bio-inspired algorithm-based hyperparameter tuning for drug-target binding affinity prediction in healthcare
Moolchand Sharma, Suman Deswal
Intelligent Decision Technologies, 2023
ConvNext: A Contemporary Architecture for Convolutional Neural Networks for Image Classification
Agastya Todi, Navya Narula, Moolch Sharma, Umesh Gupta
Proceedings 2023 3rd International Conference on Innovative Sustainable Computational Technologies Cisct 2023, 2023
Comparative Analysis of Machine Learning-Based Approaches for Astrological Prediction of Profession
Shubhangi Bhargava, Adarsh Kumar, Surender Singh Chauhan, Moolchand Sharma
Lecture Notes in Networks and Systems, 2023
Preface
Soft Computing Techniques in Connected Healthcare Systems, 2023
Distributed Kubernetes Metrics Aggregation
Mrinal Kothari, Parth Rastogi, Utkarsh Srivastava, Akanksha Kochhar, Moolchand Sharma
Lecture Notes in Networks and Systems, 2023
EfficientNet-B0 Model for Face Mask Detection Based on Social Information Retrieval
Moolchand Sharma, Harsh Gunwant, Pranay Saggar, Luv Gupta, Deepak Gupta
International Journal of Information System Modeling and Design, 2023
Soft Computing Techniques in Connected Healthcare Systems
Moolchand Sharma, Suman Deswal, Umesh Gupta, Mujahid Tabassum, Isah Lawal
Soft Computing Techniques in Connected Healthcare Systems, 2023
An Effective Approach for Heart Diseases Prognosis Using Machine Learning Techniques
Abhisht Joshi, Aditya Jain, Bhasker Kapoor, Nitesh Kumar Wadhera, Moolchand Sharma
Lecture Notes in Networks and Systems, 2023
Comparative Study of Enhanced Round Robin Algorithms with Drrha and Other Metaheuristic Algorithms
Ritika Verma, Sarthak Mittal, Siddharth Pawar, Moolchand Sharma, Deepak Gupta
Lecture Notes in Networks and Systems, 2023
Face Mask Detection Using CNN Model and Transfer Learning
Gaurav Gulati, Rajat Jain, Harsh Anand Jha, Moolchand Sharma, Divya Gupta, Umesh Gupta
Proceedings 2023 3rd International Conference on Innovative Sustainable Computational Technologies Cisct 2023, 2023
Drugs–Protein affinity-score prediction using deep convolutional neural network
Moolchand Sharma, Suman Deswal
Expert Systems, 2022
A new blockchain and fog computing model for blood pressure medical sensor data storage
Vinodhini Mani, Mangesh M. Ghonge, Nosina Krishna Chaitanya, Om Pal, Moolchand Sharma, Senthilkumar Mohan, Ali Ahmadian
Computers and Electrical Engineering, 2022
Evolutionary algorithms and artificial intelligence in drug discovery: opportunities, tools, and prospects
Moolchand Sharma, Suman Deswal
International Journal of Networking and Virtual Organisations, 2022
Early Prognosis of Acute Myocardial Infarction Using Machine Learning Techniques
Abhisht Joshi, Harsh Gunwant, Moolchand Sharma, Vikas Chaudhary
Lecture Notes on Data Engineering and Communications Technologies, 2022
Machine learning-based remote monitoring and predictive analytics system for monitoring and livestock monitoring
Nikita Goel, Yogesh Kumar, Sumit Kaur, Moolchand Sharma, Prerna Sharma
Application of Machine Learning in Agriculture, 2022
Sign Language Detection for Deaf and Dumb students using Deep learning: Dore Idioma
Umesh Gupta, Shraddha Sharma, Utkarsh Jyani, Aditya Bhardwaj, Moolchand Sharma
Proceedings 2022 2nd International Conference on Innovative Sustainable Computational Technologies Cisct 2022, 2022
Quantum Grey Wolf optimisation and evolutionary algorithms for diagnosis of Alzheimer’s disease
Moolchand Sharma, Shubbham Gupta, Himanshu Aggarwal, Tarun Aggarwal, Deepak Gupta, Ashish Khanna
International Journal of Modelling Identification and Control, 2022
Exploration Study of Ensembled Object Detection Models and Hyperparameter Optimization
Jayesh Gupta, Arushi Sondhi, Jahnavi Seth, Tariq Hussain Sheikh, Moolchand Sharma, Farzil Kidwai
Lecture Notes in Networks and Systems, 2022
Detection and Diagnosis of Skin Diseases Using Residual Neural Networks (RESNET)
Moolchand Sharma, Bhanu Jain, Chetan Kargeti, Vinayak Gupta, Deepak Gupta
International Journal of Image and Graphics, 2021
Forecasting and prediction of air pollutants concentrates using machine learning techniques: The case of India
Moolchand Sharma, Samyak Jain, Sidhant Mittal, Tariq Hussain Sheikh
Iop Conference Series Materials Science and Engineering, 2021
Intelligent traffic light control system based on traffic environment using deep learning
Moolchand Sharma, Ananya Bansal, Vaibhav Kashyap, Pramod Goyal, Tariq Hussain Sheikh
Iop Conference Series Materials Science and Engineering, 2021
Modified bio-inspired algorithms for diagnosis of breast cancer using aggregation
Moolchand Sharma, Shubbham Gupta, Suman Deswal
International Journal of Innovative Computing and Applications, 2021
Machine learning and evolutionary algorithms for the diagnosis and detection of Alzheimer’s disease
Moolchand Sharma, S. P. Pradhyumna, Shubham Goyal, Karan Singh
Lecture Notes on Data Engineering and Communications Technologies, 2021
Hybrid Intelligent System for Medical Diagnosis in Health Care
Moolchand Sharma, Akanksha Kochhar, Deepak Gupta, Jafar Al Zubi
Intelligent Systems Reference Library, 2021
Detection of white blood cells using optimized qGWO
Prerna Sharma, Moolchand Sharma, Divij Gupta, Nimisha Mittal
Intelligent Decision Technologies, 2021
Distracted driver recognition system using deep forest
Moolchand Sharma, Ananya Bansal, Utkarsh Agrawal, Pramod Goyal
International Journal of Electronic Business, 2021
Modified Bio-Inspired Algorithms for Intrusion Detection System
Moolchand Sharma, Shachi Saini, Sneha Bahl, Rohit Goyal, Suman Deswal
Advances in Intelligent Systems and Computing, 2021
Scalable machine learning in c++ (camel)
Moolchand Sharma, Anshuman Raina, Kashish Khullar, Harshit Khandelwal, Saumye Mehrotra
Advances in Intelligent Systems and Computing, 2021
BloomNet: A Robust Transformer based model for Bloom’s Learning Outcome Classification
Icnlsp 2021 Proceedings of the 4th International Conference on Natural Language and Speech Processing, 2021
Leveraging the power of quantum computing for breaking RSA encryption
Moolchand Sharma, Vikas Choudhary, R. S. Bhatia, Sahil Malik, Anshuman Raina, Harshit Khandelwal
Cyber Physical Systems, 2021
Modified Grasshopper Optimization Algorithm for detection of Autism Spectrum Disorder
Nikita Goel, Bhavya Grover, Anuj, Deepak Gupta, Ashish Khanna, Moolchand Sharma
Physical Communication, 2020
Application of hybrid computational intelligence in health care
Moolchand Sharma, Suyash Agrawal, Suman Deswal
Hybrid Computational Intelligence Challenges and Applications, 2020
Intelligent Data Analysis for Medical Applications
Moolchand Sharma, Vikas Chaudhary, Prerna Sharma, R. S. Bhatia
Intelligent Data Analysis from Data Gathering to Data Comprehension, 2020
Bio-inspired Algorithms for Diagnosis of Heart Disease
Moolchand Sharma, Ananya Bansal, Shubbham Gupta, Chirag Asija, Suman Deswal
Advances in Intelligent Systems and Computing, 2020
Security on Cloud Computing Using Pseudo-random Number Generator Along with Steganography
Moolchand Sharma, Suman Deswal, Jigyasa Sachdeva, Varun Maheshwari, Mayank Arora
Lecture Notes on Data Engineering and Communications Technologies, 2020
Diagnosis of Parkinson's disease using modified grey wolf optimization
Prerna Sharma, Shirsh Sundaram, Moolchand Sharma, Arun Sharma, Deepak Gupta
Cognitive Systems Research, 2019
Bio-inspired algorithms for diagnosis of breast cancer
Moolchand Sharma, Shubbham Gupta, Prerna Sharma, Deepak Gupta
International Journal of Innovative Computing and Applications, 2019
Parkinson's diagnosis using ant-lion optimisation algorithm
Prerna Sharma, Rishabh Jain, Moolchand Sharma, Deepak Gupta
International Journal of Innovative Computing and Applications, 2019
Security on Cloud Computing Using Split Algorithm Along with Cryptography and Steganography
Priyansha Garg, Moolchand Sharma, Shivani Agrawal, Yastika Kumar
Lecture Notes in Networks and Systems, 2019

MOST CITED SCHOLAR PUBLICATIONS

Diagnosis of Parkinson’s disease using modified grey wolf optimization
DAS Miss Prerna Sharma, Mr Shirsh Sundaram, Mr Moolchand Sharma,Dr Deepak Gupta
Cognitive Systems Research , 2019
2019
Citations: 194
Modified grasshopper optimization algorithm for detection of autism spectrum disorder
N Goel, B Grover, D Gupta, A Khanna, M Sharma
Physical Communication 41, 101115 , 2020
2020
Citations: 77
CatBoost—An ensemble machine learning model for prediction and classification of student academic performance
A Joshi, P Saggar, R Jain, M Sharma, D Gupta, A Khanna
Advances in Data Science and Adaptive Analysis 13 (03n04), 2141002 , 2021
2021
Citations: 70
Ensemble methods for computed tomography scan images to improve lung cancer detection and classification
SR Quasar, R Sharma, A Mittal, M Sharma, D Agarwal, I De la Torre Díez
Multimedia Tools and Applications 83 (17), 52867-52897 , 2024
2024
Citations: 60
Environmental monitoring network for India
PV Sundareshwar, R Murtugudde, G Srinivasan, S Singh, KJ Ramesh, ...
Science 316 (5822), 204-205 , 2007
2007
Citations: 53
Intelligent traffic light control system based on traffic environment using deep learning
M Sharma, A Bansal, V Kashyap, P Goyal, TH Sheikh
IOP conference series: Materials science and engineering 1022 (1), 012122 , 2021
2021
Citations: 51
Forecasting and prediction of air pollutants concentrates using machine learning techniques: the case of India
M Sharma, S Jain, S Mittal, TH Sheikh
IOP conference series: Materials science and engineering 1022 (1), 012123 , 2021
2021
Citations: 37
Detection and diagnosis of skin diseases using residual neural networks (RESNET)
M Sharma, B Jain, C Kargeti, V Gupta, D Gupta
International Journal of Image and Graphics 21 (05), 2140002 , 2021
2021
Citations: 33
A new blockchain and fog computing model for blood pressure medical sensor data storage
V Mani, MM Ghonge, NK Chaitanya, O Pal, M Sharma, S Mohan, ...
Computers and Electrical Engineering 102, 108202 , 2022
2022
Citations: 31
Physical interaction of estrogen receptor with MnSOD: Implication in mitochondrial O2.− upregulation and mTORC2 potentiation in estrogen-responsive breast cancer cells
MUD Lone, KS Baghel, RK Kanchan, R Shrivastava, SA Malik, BN Tewari, ...
Oncogene 36 (13), 1829-1839 , 2017
2017
Citations: 28
The mechanism of thionyl chloride reaction with dialkyl alkylphosphonothionate using 31 P NMR
Purnanand, PD Shakya, S Saxena, M Sharma, B Lal
Phosphorus, Sulfur, and Silicon and the Related Elements 177 (5), 1093-1099 , 2002
2002
Citations: 27
Parkinson's diagnosis using ant-lion optimisation algorithm
P Sharma, R Jain, M Sharma, D Gupta
International Journal of Innovative Computing and Applications 10 (3-4), 138-146 , 2019
2019
Citations: 25
Voluntary Blood Donation: Attitude and Practice among Indian Adults
RK Sharma, S Verma, M Sharma, S Pugazhendi
J Community Med Health 3 (436), 2161-0711.1000436 , 2016
2016
Citations: 25
Bloomnet: A robust transformer based model for bloom’s learning outcome classification
A Waheed, M Goyal, N Mittal, D Gupta, A Khanna, M Sharma
Proceedings of the 4th International Conference on Natural Language and … , 2021
2021
Citations: 21
Esophageal candidiasis following omeprazole therapy: a report of two cases.
A Sood, M Sharma, NP Jain, LS Chawla, R Kumar
Indian Journal of Gastroenterology: Official Journal of the Indian Society … , 1995
1995
Citations: 21
Soft computing techniques in connected healthcare systems
M Sharma, S Deswal, U Gupta, M Tabassum, I Lawal
CRC Press , 2023
2023
Citations: 20
Social norms moderating the attitude-intention relationship in adopting sustainable products
A Anand, M Sharma
Innovative Marketing 19 (4), 284-296 , 2023
2023
Citations: 20
Relationship between self-esteem and academic achievement of secondary school students
P Sharma, M Sharma
Elementary Education Online 20 (1), 3208-3212 , 2021
2021
Citations: 20
Study of anemia in nondialysis dependent chronic kidney disease with special reference to serum hepcidin
H Goyal, S Mohanty, M Sharma, A Rani
Indian journal of nephrology 27 (1), 44-50 , 2017
2017
Citations: 20
Phytochemical screening and evaluation of antioxidant activity of Parkinsonia aculeata L. (Family-Leguminoseae) leaves extract.
P Singh, R Shrivastava, RC Saxena, M Sharma, MS Karchuli, J Tripathi
2011
Citations: 20

MOOLCHAND SHARMA

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Scopus Publications

RECENT SCHOLAR PUBLICATIONS

MOST CITED SCHOLAR PUBLICATIONS