Institution · SR University
Most cited papers from SR University
What are the most cited papers from SR University?
The most cited paper from SR University is "An automated essay scoring systems: a systematic literature review" (Dadi Ramesh, Suresh Kumar Sanampudi, 2021), with 533 citations. Next come "Impact of climate change and anthropogenic activities on aquatic ecosystem – A review" (322) and "Lithium-Ion Batteries—The Crux of Electric Vehicles with Opportunities and Challenges" (274).
Showing 50 of 59 papers. Every paper with more than 66 citations is listed.
| # | Paper | ||
|---|---|---|---|
| 1 | An automated essay scoring systems: a systematic literature review Dadi Ramesh, Suresh Kumar Sanampudi · Artificial Intelligence Review | 23 Sep 2021 | 533 |
| 2 | Impact of climate change and anthropogenic activities on aquatic ecosystem – A review Priya A. K, Muthiah Muruganandam, Sivarethinamohan Rajamanickam et al. · Environmental Research | 2 Oct 2023 | 322 |
| 3 | Lithium-Ion Batteries—The Crux of Electric Vehicles with Opportunities and Challenges Shriram Srinivasarangan Rangarajan, Suvetha Poyyamani Sunddararaj, A. V. V. Sudhakar et al. · Clean Technologies | 21 Sep 2022 | 274 |
| 4 | Green concrete: A review of recent developments A. Sivakrishna, Adeyemi Adesina, Paul Oluwaseun Awoyera et al. · Materials Today Proceedings | 16 Sep 2019 | 234 |
| 5 | Wastewater—Sources, Toxicity, and Their Consequences to Human Health Rama Rao Karri, Gobinath Ravindran, Mohammad Hadi Dehghani · Elsevier eBooks | 2021 | 188 |
| 6 | Deepfake Generation and Detection: Case Study and Challenges Y. G. Patel, Sudeep Tanwar, Rajesh Gupta et al. · IEEE Access | 2023 | 180 |
| 7 | A Survey on Reduced Switch Count Multilevel Inverters Hari Priya Vemuganti, Dharmavarapu Sreenivasarao, Ganjikunta Siva Kumar et al. · IEEE Open Journal of the Industrial Electronics Society | 2021 | 177 |
| 8 | Artificial intelligence for cardiovascular disease risk assessment in personalised framework: a scoping review Manasvi Singh et al. · EClinicalMedicine | 27 May 2024 | 162 |
| 9 | Transforming Drug Therapy with Deep Learning: The Future of Personalized Medicine Altaf Osman Mulani, Minal S. Deshmukh, Vaishali Jadhav et al. · Drug Research | 29 Aug 2025 | 140 |
| 10 | Radiation mechanism on dissipative ternary hybrid nanoliquid flow through rotating disk encountered by Hall currents: HAM solution MD. Shamshuddin, Nevzat Akkurt, Anwar Saeed et al. · Alexandria Engineering Journal | 21 Oct 2022 | 136 |
| 11 | Machine learning and role of artificial intelligence in optimizing work performance and employee behavior K. K. Ramachandran, A. Apsara Saleth Mary, Shibani Hawladar et al. · Materials Today Proceedings | 23 Dec 2021 | 126 |
| 12 | Cardiovascular disease prediction using deep learning techniques Syed Nawaz Pasha, Dadi Ramesh, Sallauddin Mohmmad et al. · IOP Conference Series Materials Science and Engineering | Dec 2020 | 121 |
| 13 | Recent developments in materials, architectures and processing of AlGaN/GaN HEMTs for future RF and power electronic applications: A critical review B. Mounika, J. Ajayan, Sandip Bhattacharya et al. · Micro and Nanostructures | 19 Jun 2022 | 119 |
| 14 | Multi-Omics Approaches Against Abiotic and Biotic Stress—A Review Venkatramanan Varadharajan, Radhika Rajendran, Pandiyan Muthuramalingam et al. · Plants | 10 Mar 2025 | 117 |
| 15 | Nanosheet field effect transistors-A next generation device to keep Moore's law alive: An intensive study J. Ajayan, D. Nirmal, Shubham Tayal et al. · Microelectronics Journal | 16 Jun 2021 | 116 |
| 16 | Challenges in material processing and reliability issues in AlGaN/GaN HEMTs on silicon wafers for future RF power electronics & switching applications: A critical review J. Ajayan, D. Nirmal, Poornachandran Mohankumar et al. · Materials Science in Semiconductor Processing | 3 Aug 2022 | 114 |
| 17 | Short-term electric power load forecasting using random forest and gated recurrent unit Venkataramana Veeramsetty, K Rajeshwar Reddy, M Santhosh et al. · Electrical Engineering | 30 Aug 2021 | 114 |
| 18 | Prediction of crop yield using machine learning Mohammed Ali Shaik, Geetha Manoharan, B. Prashanth et al. · AIP conference proceedings | 2022 | 113 |
| 19 | Homotopic simulation of MHD bioconvective flow of water-based hybrid nanofluid over a thermal convective exponential stretching surface MD. Shamshuddin, Anwar Saeed, S. R. Mishra et al. · International Journal of Numerical Methods for Heat & Fluid Flow | 5 Oct 2023 | 111 |
| 20 | Text categorization Performance examination Using Machine Learning Algorithms Bonthala Prabhanjan Yadav, Sukhaveerji Ghate, A. Harshavardhan et al. · IOP Conference Series Materials Science and Engineering | Dec 2020 | 101 |
| 21 | DC Microgrids: A Propitious Smart Grid Paradigm for Smart Cities Shriram Srinivasarangan Rangarajan, Rahul Raman, Amritpal Singh et al. · Smart Cities | 3 Jul 2023 | 95 |
| 22 | Role of recycling fine materials as filler for improving performance of concrete - a review Paul Oluwaseun Awoyera, Adeyemi Adesina, Gobinath Ravindran · Australian Journal of Civil Engineering | 6 Jun 2019 | 95 |
| 23 | Explainable AI for Industry 5.0: Vision, Architecture, and Potential Directions Chandan Trivedi, Pronaya Bhattacharya, Vivek Kumar Prasad et al. · IEEE Open Journal of Industry Applications | 2024 | 92 |
| 24 | Women Wellbeing Assessment in Indian Metropolises Using Machine Learning models Bonthala Prabhanjan Yadav, M. Sheshikala, N. Swathi et al. · IOP Conference Series Materials Science and Engineering | Dec 2020 | 92 |
| 25 | Data Reduction Techniques in Wireless Sensor Networks With Internet of Things Vijaya Gunturu, Chandrshekhar Goswami, Vinay Kumar Nassa et al. · Advances in computational intelligence and robotics book series | 13 Dec 2024 | 87 |
| 26 | A case study of heat transmission in a Williamson fluid flow through a ciliated porous channel: A semi-numerical approach Usman Usman, Sidra Shaheen, Muhammad Bilal Arain et al. · Case Studies in Thermal Engineering | 27 Oct 2022 | 87 |
| 27 | A Hybrid Task Offloading and Resource Allocation Approach for Digital Twin-Empowered UAV-Assisted MEC Network Using Federated Reinforcement Learning for Future Wireless Network Prakhar Consul, Ishan Budhiraja, Deepak Garg et al. · IEEE Transactions on Consumer Electronics | Feb 2024 | 86 |
| 28 | Empowering sustainability in the built environment: A technological Lens on industry 4.0 Enablers Vikrant Pachouri, Rajesh Singh, Anita Gehlot et al. · Technology in Society | 23 Nov 2023 | 85 |
| 29 | Understanding lithium-ion battery management systems in electric vehicles: Environmental and health impacts, comparative study, and future trends: A review R. Suganya, L. M. I. Leo Joseph, Sreedhar Kollem · Results in Engineering | 2 Oct 2024 | 84 |
| 30 | Optimal DeepMRSeg based tumor segmentation with GAN for brain tumor classification G. Neelima, Dhanunjaya Rao Chigurukota, Balajee Maram et al. · Biomedical Signal Processing and Control | 8 Feb 2022 | 84 |
| 31 | Alkali activated binders: Challenges and opportunities Paul Oluwaseun Awoyera, Adeyemi Adesina, A. Sivakrishna et al. · Materials Today Proceedings | 7 Sep 2019 | 84 |
| 32 | Blockchain, artificial intelligence, and healthcare: the tripod of future—a narrative review Archana Bathula, Suneet Kumar Gupta, Suresh Merugu et al. · Artificial Intelligence Review | 8 Aug 2024 | 83 |
| 33 | Detection of Mentally Distressed Social Media Profiles Using Machine Learning Techniques T. Sravanthi, Verma Hema, S. Tharun Reddy et al. · IOP Conference Series Materials Science and Engineering | Dec 2020 | 83 |
| 34 | IoT Based Solar Power Monitoring System Maisagalla Gopal, T. Prakash, N Venkata Ramakrishna et al. · IOP Conference Series Materials Science and Engineering | Dec 2020 | 83 |
| 35 | A review on emerging negative capacitance field effect transistor for low power electronics Shiromani Balmukund Rahi, Shubham Tayal, Abhishek Kumar Upadhyay · Microelectronics Journal | 3 Sep 2021 | 82 |
| 36 | Prediction of ammonia contaminants in the aquaculture ponds using soft computing coupled with wavelet analysis Thotakura Vamsi Nagaraju, Sunil B.M., Babloo Chaudhary et al. · Environmental Pollution | Jun 2023 | 80 |
| 37 | Elastic deformation of thermal radiative and convective hybrid SWCNT-Ag and MWCNT-MoS4 magneto-nanofluids flow in a cylinder S.O. Salawu, Adebowale Martins Obalalu, E.O. Fatunmbi et al. · Results in Materials | 17 Feb 2023 | 80 |
| 38 | Terahertz sensors for next generation biomedical and other industrial electronics applications: A critical review J. Ajayan, S. Sreejith, M. Manikandan et al. · Sensors and Actuators A Physical | 10 Feb 2024 | 78 |
| 39 | Permeability properties of lightweight self-consolidating concrete made with coconut shell aggregate Murthi Palanisamy, Poongodi Kolandasamy, Paul Oluwaseun Awoyera et al. · Journal of Materials Research and Technology | Feb 2020 | 77 |
| 40 | A Review of the Status, Effects, Prevention, and Remediation of Groundwater Contamination for Sustainable Environment Gokulan Ravindiran, Sivarethinamohan Rajamanickam, S. Sujatha et al. · Water | 19 Oct 2023 | 76 |
| 41 | The Influence Of Process Parameters On The Surface Roughness Of The 3d Printed Part In FDM Process Pulla Sammaiah, K. Rushmamanisha, N. Praveenadevi et al. · IOP Conference Series Materials Science and Engineering | Dec 2020 | 76 |
| 42 | Significant statistical model of heat transfer rate in radiative Carreau tri-hybrid nanofluid with entropy analysis using response surface methodology used in solar aircraft P. K. Pattnaik, S. R. Mishra, MD. Shamshuddin et al. · Renewable Energy | 2 Oct 2024 | 75 |
| 43 | Laser-Induced Graphene for Advanced Sensing: Comprehensive Review of Applications Sikandar Aftab, Ganesh Koyyada, Maria Mukhtar et al. · ACS Sensors | 16 Sep 2024 | 74 |
| 44 | Artificial Intelligence Integrated with Big Data Analytics for Enhanced Marketing S. Rama Krishna, Ketan Rathor, Jarabala Ranga et al. | 26 Apr 2023 | 74 |
| 45 | A critical review on performance, reliability, and fabrication challenges in nanosheet FET for future analog/digital IC applications Sresta Valasa, Shubham Tayal, Laxman Raju Thoutam et al. · Micro and Nanostructures | 28 Aug 2022 | 74 |
| 46 | The Rising Importance of AI in Boosting the Efficiency of Online Advertising in Developing Countries A. Shameem, K. K. Ramachandran, Amod Sharma et al. | 12 May 2023 | 73 |
| 47 | Sustainable approaches for removing toxic heavy metal from contaminated water: A comprehensive review of bioremediation and biosorption techniques P.R. Yaashikaa, Jeyanthi Palanivelu, R.V. Hemavathy · Chemosphere | 12 Apr 2024 | 72 |
| 48 | Enhancing the Strength Properties of High-Performance Concrete Using Ternary Blended Cement: OPC, Nano-Silica, Bagasse Ash Palanisamy Murthi, Kolandasamy Poongodi, Paul Oluwaseun Awoyera et al. · Silicon | 21 Nov 2019 | 72 |
| 49 | Microgrid Emergence, Integration, and Influence on the Future Energy Generation Equilibrium—A Review Sabrina Lee Chartier, Vinod Kumar Venkiteswaran, Shriram Srinivasarangan Rangarajan et al. · Electronics | 3 Mar 2022 | 71 |
| 50 | Automatic Door Lock System by Face Recognition Sharvani Yedulapuram, Rajeshwarrao Arabelli, Kommabatla Mahender et al. · IOP Conference Series Materials Science and Engineering | Dec 2020 | 71 |
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.