Institution · MIT World Peace University
Most cited papers from MIT World Peace University
What are the most cited papers from MIT World Peace University?
The most cited paper from MIT World Peace University is "Nano‐adsorbents for the removal of metallic pollutants from water and wastewater" (Yogesh Chandra Sharma, Varsha Srivastava, Vakil Singh et al., 2009), with 421 citations. Next come "A systematic review on hyperspectral imaging technology with a machine and deep learning methodology for agricultural applications" (382) and "A comprehensive review on smart and sustainable agriculture using IoT technologies" (286).
Showing 50 of 61 papers. Every paper with more than 66 citations is listed.
| # | Paper | ||
|---|---|---|---|
| 1 | Nano‐adsorbents for the removal of metallic pollutants from water and wastewater Yogesh Chandra Sharma, Varsha Srivastava, Vakil Singh et al. · Environmental Technology | May 2009 | 421 |
| 2 | A systematic review on hyperspectral imaging technology with a machine and deep learning methodology for agricultural applications Atiya Khan, Amol Dattatraya Vibhute, Shankar M. Mali et al. · Ecological Informatics | 19 May 2022 | 382 |
| 3 | A comprehensive review on smart and sustainable agriculture using IoT technologies Vijendra Kumar, Kul Vaibhav Sharma, Naresh Kedam et al. · Smart Agricultural Technology | 11 Jun 2024 | 286 |
| 4 | LPWAN Technologies: Emerging Application Characteristics, Requirements, and Design Considerations Bharat S. Chaudhari, Marco Zennaro, Suresh R. Borkar · Future Internet | 6 Mar 2020 | 262 |
| 5 | Early detection of Parkinson's disease using machine learning Aditi Govindu, Sushila Palwe · Procedia Computer Science | 2023 | 258 |
| 6 | Comprehensive Overview of Flood Modeling Approaches: A Review of Recent Advances Vijendra Kumar, Kul Vaibhav Sharma, Tommaso Caloiero et al. · Hydrology | 30 Jun 2023 | 254 |
| 7 | Cuckoo Search Optimization- A Review A.S. Joshi, Омкар Кулкарни, Ganesh M. Kakandikar et al. · Materials Today Proceedings | 2017 | 248 |
| 8 | Advanced Machine Learning Techniques to Improve Hydrological Prediction: A Comparative Analysis of Streamflow Prediction Models Vijendra Kumar, Naresh Kedam, Kul Vaibhav Sharma et al. · Water | 13 Jul 2023 | 234 |
| 9 | Machine learning-based energy management and power forecasting in grid-connected microgrids with multiple distributed energy sources Arvind Ramnarayan Singh, Rangu Seshu Kumar, Mohit Bajaj et al. · Scientific Reports | 19 Aug 2024 | 231 |
| 10 | A review—metastable β titanium alloy for biomedical applications Pralhad Pesode, Shivprakash Barve · Journal of Engineering and Applied Science | 17 Apr 2023 | 206 |
| 11 | Lean manufacturing a vital tool to enhance productivity in manufacturing Atul Palange, Pankaj N. Dhatrak · Materials Today Proceedings | 2021 | 195 |
| 12 | The State of the Art in Deep Learning Applications, Challenges, and Future Prospects: A Comprehensive Review of Flood Forecasting and Management Vijendra Kumar, Hazi Mohammad Azamathulla, Kul Vaibhav Sharma et al. · Sustainability | 4 Jul 2023 | 192 |
| 13 | Surface modification techniques of titanium and titanium alloys for biomedical dental applications: A review Alekh Kurup, Pankaj N. Dhatrak, Neha Khasnis · Materials Today Proceedings | 2 Jul 2020 | 190 |
| 14 | Short Chain Fatty Acids: Fundamental mediators of the gut-lung axis and their involvement in pulmonary diseases Sumel Ashique, Gabriele De Rubis, Ekta Sirohi et al. · Chemico-Biological Interactions | 23 Oct 2022 | 156 |
| 15 | A comprehensive study on current and future trends towards the characteristics and enablers of industry 4.0 Niharika Karnik, Urvi Bora, Karan Bhadri et al. · Journal of Industrial Information Integration | 14 Oct 2021 | 155 |
| 16 | Effects of recycled fine aggregates on properties of concrete containing natural or recycled coarse aggregates: A comparative study Rahul Kumar Singh, Dheeresh Kumar Nayak, Arunabh Pandey et al. · Journal of Building Engineering | 14 Oct 2021 | 154 |
| 17 | Comparative Studies on Synthesis, Characterization and Photocatalytic Activity of Ag Doped ZnO Nanoparticles Snehal S. Wagh, Vishal Kadam, Chaitali V. Jagtap et al. · ACS Omega | 13 Feb 2023 | 151 |
| 18 | Detection and moderation of detrimental content on social media platforms: current status and future directions Vaishali U. Gongane, Mousami Vaibhav Munot, Alwin D. Anuse · Social Network Analysis and Mining | 5 Sep 2022 | 149 |
| 19 | Surface modification of titanium and titanium alloy by plasma electrolytic oxidation process for biomedical applications: A review Pralhad Pesode, Shivprakash Barve · Materials Today Proceedings | 24 Dec 2020 | 128 |
| 20 | Intrusion Detection System for Industrial Internet of Things Based on Deep Reinforcement Learning Sumegh Tharewal, Mohammed Waseem Ashfaque, Sayyada Sara Banu et al. · Wireless Communications and Mobile Computing | 2022 | 123 |
| 21 | Process of fruit peel waste biorefinery: a case study of citrus waste biorefinery, its environmental impacts and recommendations Saurabh Nitin Joglekar, Pranav Deepak Pathak, Sachin Arvind Mandavgane et al. · Environmental Science and Pollution Research | 15 Jan 2019 | 122 |
| 22 | Self-Propelling Targeted Magneto-Nanobots for Deep Tumor Penetration and pH-Responsive Intracellular Drug Delivery Saloni S. Andhari, Ravindra D. Wavhale, Kshama D. Dhobale et al. · Scientific Reports | 13 Mar 2020 | 121 |
| 23 | Cyber-security and reinforcement learning — A brief survey Amrin Maria Khan Adawadkar, Nilima Kulkarni · Engineering Applications of Artificial Intelligence | 8 Jul 2022 | 119 |
| 24 | Spatio-temporal air quality analysis and PM2.5 prediction over Hyderabad City, India using artificial intelligence techniques P R Gokul, Aneesh Mathew, Avadhoot Bhosale et al. · Ecological Informatics | 13 Mar 2023 | 117 |
| 25 | Clustering Techniques and the Similarity Measures used in Clustering: A Survey Jasmine Irani, Nitin Namdeo Pise, Madhura Phatak · International Journal of Computer Applications | 15 Jan 2016 | 113 |
| 26 | A review on application of low-cost adsorbents for heavy metals removal from wastewater Niraj S. Topare, Vinayak S. Wadgaonkar · Materials Today Proceedings | 6 Sep 2022 | 108 |
| 27 | A systematic literature review: digital marketing and its impact on SMEs Gauri Girish Jadhav, Shubhangi Vitthal Gaikwad, Dhananjay Madhukar Bapat · Journal of Indian Business Research | 16 Feb 2023 | 102 |
| 28 | An innovative IoT based system for precision farming Sandeep V. Gaikwad, Amol Dattatraya Vibhute, Karbhari V. Kale et al. · Computers and Electronics in Agriculture | 23 Jun 2021 | 101 |
| 29 | Phyto-microbiome to mitigate abiotic stress in crop plants Anamika Singh, Samina Mazahar, Shilpa Samir Chapadgaonkar et al. · Frontiers in Microbiology | 2 Aug 2023 | 100 |
| 30 | Prevalence and Early Prediction of Diabetes Using Machine Learning in North Kashmir: A Case Study of District Bandipora Salliah Shafi Bhat, Venkatesan Selvam, Gufran Ahmad Ansari et al. · Computational Intelligence and Neuroscience | 4 Oct 2022 | 98 |
| 31 | Additively Manufactured Lattice Structures and Materials: Present Progress and Future Scope Ganesh P. Borikar, Ashutosh R. Patil, Snehal B. Kolekar · International Journal of Precision Engineering and Manufacturing | 25 Aug 2023 | 97 |
| 32 | Electrospun nanofibers in cancer research: from engineering of in vitro 3D cancer models to therapy Marta Cavo, Francesca Serio, Narendra R. Kale et al. · Biomaterials Science | 2020 | 90 |
| 33 | Building a Cloud-IDS by Hybrid Bio-Inspired Feature Selection Algorithms Along With Random Forest Model Mhamad Bakro, Rakesh Ranjan Kumar, M. N. Husain et al. · IEEE Access | 2024 | 85 |
| 34 | Perceived eWallet security: impact of COVID-19 pandemic Swapnil Undale, Ashish Kulkarni, Harshali Patil · Vilakshan – XIMB Journal of Management | 27 Nov 2020 | 83 |
| 35 | Generating UML Diagrams from Natural Language Specifications Priyanka More, Rashmi S. Phalnikar · International Journal of Applied Information Systems | 10 Apr 2012 | 83 |
| 36 | GWO Model for Optimal Localization of IoT-Enabled Sensor Nodes in Smart Parking Systems Sheetal N. Ghorpade, Marco Zennaro, Bharat S. Chaudhari · IEEE Transactions on Intelligent Transportation Systems | 14 Jan 2020 | 82 |
| 37 | Cardiovascular Disease Prediction Using Machine Learning Models Atharv Nikam, Sanket Bhandari, Aditya Mhaske et al. | 16 Dec 2020 | 81 |
| 38 | Adsorption isotherm studies of Methylene blue using activated carbon of waste fruit peel as an adsorbent Shubham A. Gupta, Yamya Vishesh, N. Sarvshrestha et al. · Materials Today Proceedings | 15 Dec 2021 | 80 |
| 39 | A state-of-the-art review on robotics in waste sorting: scope and challenges Anushka G. Satav, Sunidhi Kubade, Chinmay Amrutkar et al. · International Journal on Interactive Design and Manufacturing (IJIDeM) | 6 May 2023 | 79 |
| 40 | Targeting inflammation: a potential approach for the treatment of depression Shvetank Bhatt, Thangaraj Devadoss, Niraj Kumar Jha et al. · Metabolic Brain Disease | 14 Oct 2022 | 76 |
| 41 | Plant leaf disease detection and classification using image processing techniques Prakash Mohan Mainkar · International Journal of Innovative and Emerging Research in Engineering | Feb 2015 | 76 |
| 42 | A comprehensive review on emerging trends in smart green building technologies and sustainable materials Monika S. Patil, Samrudhi Boraste, Pravin Minde · Materials Today Proceedings | 2022 | 74 |
| 43 | Organizational IT support and knowledge sharing behaviour affecting service innovation performance: empirical evidence from the hospitality industry Manoj Kumar, Pradeep Mamgain, Srinivas Subbarao Pasumarti et al. · VINE Journal of Information and Knowledge Management Systems | 19 Jan 2022 | 73 |
| 44 | A review on recent progress in polymer composites for effective electromagnetic interference shielding properties – structures, process, and sustainability approaches Rajesh Kumar Bheema, J Gopu, Krithika Bhaskaran et al. · Nanoscale Advances | 2024 | 72 |
| 45 | River stream flow prediction through advanced machine learning models for enhanced accuracy Naresh Kedam, Deepak Kumar Tiwari, Vijendra Kumar et al. · Results in Engineering | 3 May 2024 | 72 |
| 46 | A Comparison of Machine Learning Models for Predicting Rainfall in Urban Metropolitan Cities Vijendra Kumar, Naresh Kedam, Kul Vaibhav Sharma et al. · Sustainability | 14 Sep 2023 | 72 |
| 47 | Critical review of the recent progress and challenges of polyanion Na 3 V 2 (PO 4 ) 3 cathode materials in rechargeable sodium-ion batteries Ranjit S. Kate, Harsharaj S. Jadhav, Ujjwala P. Chothe et al. · Journal of Materials Chemistry A | 2024 | 71 |
| 48 | Who is making the decisions? How retail managers can use the power of ChatGPT Anuj Kumar, Nimit Gupta, Gautam Surendra Bapat · Journal of Business Strategy | 2 Jun 2023 | 70 |
| 49 | Survey of Localization for Internet of Things Nodes: Approaches, Challenges and Open Issues Sheetal N. Ghorpade, Marco Zennaro, Bharat S. Chaudhari · Future Internet | 16 Aug 2021 | 70 |
| 50 | Conversational AI: An Overview of Methodologies, Applications & Future Scope Pradnya Kulkarni, Ameya Sunil Mahabaleshwarkar, Mrunalini Kulkarni et al. | Sep 2019 | 70 |
Citations are OpenAlex's own counts, from its 2026-09-23 snapshot, so the ranking can differ from Google Scholar or Web of Science. A paper is listed for an institution when any of its authors gave it as an affiliation; retracted papers and papers whose citation count cannot be traced to citing works are left out, and a preprint and the article it became are shown once. Release dates are OpenAlex's: where a source gave only a month or a year, that is what is shown. How the lists are chosen.