Institution · VIT-AP University
Most cited papers from VIT-AP University
What are the most cited papers from VIT-AP University?
The most cited paper from VIT-AP University is "Recent advances in electromagnetic interference shielding properties of metal and carbon filler reinforced flexible polymer composites: A review" (Sowmya Sankaran, Kalim Deshmukh, M. Basheer Ahamed et al., 2018), with 843 citations. Next come "A Review on YOLOv8 and Its Advancements" (813) and "GPT (Generative Pre-Trained Transformer)— A Comprehensive Review on Enabling Technologies, Potential Applications, Emerging Challenges, and Future Directions" (588).
Showing 50 of 60 papers. Every paper with more than 79 citations is listed.
| # | Paper | ||
|---|---|---|---|
| 1 | Recent advances in electromagnetic interference shielding properties of metal and carbon filler reinforced flexible polymer composites: A review Sowmya Sankaran, Kalim Deshmukh, M. Basheer Ahamed et al. · Composites Part A Applied Science and Manufacturing | 11 Aug 2018 | 843 |
| 2 | A Review on YOLOv8 and Its Advancements Mupparaju Sohan, Thotakura Sai Ram, Ch. Venkata Rami Reddy · Algorithms for intelligent systems | 2024 | 813 |
| 3 | GPT (Generative Pre-Trained Transformer)— A Comprehensive Review on Enabling Technologies, Potential Applications, Emerging Challenges, and Future Directions Gokul Yenduri, M. Ramalingam, G. Chemmalar Selvi et al. · IEEE Access | 2024 | 588 |
| 4 | MXene based emerging materials for supercapacitor applications: Recent advances, challenges, and future perspectives Subhasree Panda, Kalim Deshmukh, S. K. Khadheer Pasha et al. · Coordination Chemistry Reviews | 28 Mar 2022 | 468 |
| 5 | A systematic literature review on prototyping with Arduino: Applications, challenges, advantages, and limitations Hari Kishan Kondaveeti, Nandeesh Kumar Kumaravelu, Sunny Dayal Vanambathina et al. · Computer Science Review | 5 Feb 2021 | 332 |
| 6 | Graphene quantum dot based materials for sensing, bio-imaging and energy storage applications: a review Y. Ravi Kumar, Kalim Deshmukh, Kishor Kumar Sadasivuni et al. · RSC Advances | 2020 | 327 |
| 7 | Synthesis, optimization and applications of ZnO/polymer nanocomposites Deepalekshmi Ponnamma, John‐John Cabibihan, Mariappan Rajan et al. · Materials Science and Engineering C | 21 Jan 2019 | 303 |
| 8 | State of the art recent progress in two dimensional MXenes based gas sensors and biosensors: A comprehensive review Kalim Deshmukh, Tomáš Kovářík, S. K. Khadheer Pasha · Coordination Chemistry Reviews | 18 Aug 2020 | 283 |
| 9 | A comprehensive survey on deep learning based malware detection techniques M. A. Gopinath, Sibi Chakkaravarthy Sethuraman · Computer Science Review | 21 Dec 2022 | 277 |
| 10 | Enhancing Heart Disease Prediction Accuracy through Machine Learning Techniques and Optimization Nadikatla Chandrasekhar, Samineni Peddakrishna · Processes | 14 Apr 2023 | 270 |
| 11 | Realization of Sustainable Development Goals with Disruptive Technologies by Integrating Industry 5.0, Society 5.0, Smart Cities and Villages Padmanathan Kasinathan, Rishi Pugazhendhi, Rajvikram Madurai Elavarasan et al. · Sustainability | 17 Nov 2022 | 241 |
| 12 | Statistical Analysis of Design Aspects of Various YOLO-Based Deep Learning Models for Object Detection Uddagiri Sirisha, Surapaneni Phani Praveen, Parvathaneni Naga Srinivasu et al. · International Journal of Computational Intelligence Systems | 2 Aug 2023 | 225 |
| 13 | Sentiment analysis: A survey on design framework, applications and future scopes Monali Bordoloi, Saroj Kr. Biswas · Artificial Intelligence Review | 20 Mar 2023 | 177 |
| 14 | The dawn of Ga2O3 HEMTs for high power electronics - A review Rajan Singh, Trupti Ranjan Lenka, Deepak Kumar Panda et al. · Materials Science in Semiconductor Processing | 13 Jun 2020 | 175 |
| 15 | Land use and land cover classification with hyperspectral data: A comprehensive review of methods, challenges and future directions Mohammed Abdulmajeed Moharram, Divya Meena Sundaram · Neurocomputing | 22 Mar 2023 | 168 |
| 16 | Dielectric properties of polyvinyl alcohol (PVA) nanocomposites filled with green synthesized zinc sulphide (ZnS) nanoparticles Peram Lokanatha Reddy, Kalim Deshmukh, Kannan Chidambaram et al. · Journal of Materials Science Materials in Electronics | 2 Feb 2019 | 166 |
| 17 | AI based elderly fall prediction system using wearable sensors: A smart home-care technology with IOT Pravin Kulurkar, Chandra Kumar Dixit, V.C. Bharathi et al. · Measurement Sensors | 2 Dec 2022 | 160 |
| 18 | M-MultiSVM: An efficient feature selection assisted network intrusion detection system using machine learning Anil Vithalrao Turukmane, Ramkumar Devendiran · Computers & Security | 10 Nov 2023 | 157 |
| 19 | Machine Learning-Integrated IoT-Based Smart Home Energy Management System Maganti Syamala, Komala C R, P. V. Pramila et al. · Advances in computational intelligence and robotics book series | 16 Jun 2023 | 153 |
| 20 | rVAD: An unsupervised segment-based robust voice activity detection method Zheng‐Hua Tan, Achintya Kumar Sarkar, Najim Dehak · Computer Speech & Language | 12 Jun 2019 | 143 |
| 21 | DRLBTSA: Deep reinforcement learning based task-scheduling algorithm in cloud computing Sudheer Mangalampalli, Ganesh Reddy Karri, Mohit Kumar et al. · Multimedia Tools and Applications | 17 Jun 2023 | 140 |
| 22 | Potential Benefits, Challenges and Perspectives of Various Methods and Materials Used for Hydrogen Storage Pravas Kumar Panigrahi, Basavaiah Chandu, M. Motapothula et al. · Energy & Fuels | 5 Feb 2024 | 138 |
| 23 | Dugat-LSTM: Deep learning based network intrusion detection system using chaotic optimization strategy Ramkumar Devendiran, Anil Vithalrao Turukmane · Expert Systems with Applications | 11 Jan 2024 | 138 |
| 24 | Integration of IoT based routing process for food supply chain management in sustainable smart cities Senthil Murugan Nagarajan, Ganesh Gopal Deverajan, Puspita Chatterjee et al. · Sustainable Cities and Society | 26 Oct 2021 | 134 |
| 25 | Nitrogen-doped carbon dots: Recent developments in its fluorescent sensor applications Sathishkumar Munusamy, Triveni Rajashekhar Mandlimath, Puchakayala Swetha et al. · Environmental Research | 5 May 2023 | 129 |
| 26 | Effective task scheduling algorithm with deep learning for Internet of Health Things (IoHT) in sustainable smart cities Senthil Murugan Nagarajan, Ganesh Gopal Deverajan, Puspita Chatterjee et al. · Sustainable Cities and Society | 22 Apr 2021 | 128 |
| 27 | A Comprehensive Review on Tunnel Field-Effect Transistor (TFET) Based Biosensors: Recent Advances and Future Prospects on Device Structure and Sensitivity Nelaturi Nagendra Reddy, Deepak Kumar Panda · Silicon | 26 Aug 2020 | 123 |
| 28 | A Deep Features Extraction Model Based on the Transfer Learning Model and Vision Transformer “TLMViT” for Plant Disease Classification Amer Tabbakh, Soubhagya Sankar Barpanda · IEEE Access | 2023 | 122 |
| 29 | A Novel Approach for Diabetic Retinopathy Screening Using Asymmetric Deep Learning Features Pradeep Kumar Jena, Bonomali Khuntia, Charulata Palai et al. · Big Data and Cognitive Computing | 29 Jan 2023 | 114 |
| 30 | Evolutionary inspired approach for mental stress detection using EEG signal Lakhan Dev Sharma, Vijay Kumar Bohat, Maria Habib et al. · Expert Systems with Applications | 18 Feb 2022 | 113 |
| 31 | A Comprehensive Review of Self-Healing Polymer, Metal, and Ceramic Matrix Composites and Their Modeling Aspects for Aerospace Applications Sri Ram Murthy Paladugu, P.S. Rama Sreekanth, Santosh Kumar Sahu et al. · Materials | 29 Nov 2022 | 111 |
| 32 | A Brief Review on Advanced Sandwich Structures with Customized Design Core and Composite Face Sheet Santosh Kumar Sahu, P.S. Rama Sreekanth, S.V. Kota Reddy · Polymers | 11 Oct 2022 | 109 |
| 33 | Recent Advances in Nanostructured Materials for Application as Gas Sensors Pravas Kumar Panigrahi, Basavaiah Chandu, Nagaprasad Puvvada · ACS Omega | 10 Jan 2024 | 108 |
| 34 | A hybrid deep learning framework with CNN and Bi-directional LSTM for store item demand forecasting Reuben Varghese Joseph, Anshuman Mohanty, Soumyae Tyagi et al. · Computers & Electrical Engineering | 12 Sep 2022 | 106 |
| 35 | Integration of Renewable Energy in Microgrids and Smart Grids in Deregulated Power Systems: A Comparative Exploration Subhojit Dawn, A. Ramakrishna, M. Ramesh et al. · Advanced Energy and Sustainability Research | Aug 2024 | 102 |
| 36 | Automatic Recognition of Rice Leaf Diseases Using Transfer Learning Chinna Gopi Simhadri, Hari Kishan Kondaveeti · Agronomy | 23 Mar 2023 | 101 |
| 37 | Multi-Class Kidney Abnormalities Detecting Novel System Through Computed Tomography Sagar Dhanraj Pande, Raghav Agarwal · IEEE Access | 2024 | 99 |
| 38 | Social Media Influence on Students’ Knowledge Sharing and Learning: An Empirical Study Sivakumar Arunkumar, Sudarsan Jayasingh, Shahenaz Shaik · Education Sciences | 20 Jul 2023 | 99 |
| 39 | Photocatalytic performance of a novel semiconductor nanocatalyst: Copper doped nickel oxide for phenol degradation Anita Sagadevan Ethiraj, Prateek Uttam, K. Varunkumar et al. · Materials Chemistry and Physics | 5 Dec 2019 | 99 |
| 40 | Time Series Forecasting and Modeling of Food Demand Supply Chain Based on Regressors Analysis Sandeep Kumar Panda, Sachi Nandan Mohanty · IEEE Access | 2023 | 95 |
| 41 | Dual-band reconfigurable EBG loaded circular patch MIMO antenna using defected ground structure (DGS) and PIN diode integrated branch-lines (BLs) Pritam B. Nikam, Jayendra Kumar, V. Sivanagaraju et al. · Measurement | 9 Apr 2022 | 95 |
| 42 | Cardiotocography Data Analysis for Fetal Health Classification Using Machine Learning Models Yalamanchili Salini, Sachi Nandan Mohanty, Janjhyam Venkata Naga Ramesh et al. · IEEE Access | 2024 | 94 |
| 43 | An Overview of Demand Response in Smart Grid and Optimization Techniques for Efficient Residential Appliance Scheduling Problem Amit Shewale, Anil Mokhade, Nitesh A. Funde et al. · Energies | 18 Aug 2020 | 94 |
| 44 | Deep learning for rice leaf disease detection: A systematic literature review on emerging trends, methodologies and techniques Chinna Gopi Simhadri, Hari Kishan Kondaveeti, V. Valli Kumari et al. · Information Processing in Agriculture | 7 May 2024 | 92 |
| 45 | Skin Cancer Classification using Transfer Learning Hari Kishan Kondaveeti, Prabhat Edupuganti | 30 Dec 2020 | 92 |
| 46 | A comprehensive review on applications of Raspberry Pi Sudha Ellison Mathe, Hari Kishan Kondaveeti, Suseela Vappangi et al. · Computer Science Review | May 2024 | 88 |
| 47 | Automated multi-class classification of lung diseases from CXR-images using pre-trained convolutional neural networks Sahebgoud Hanamantray Karaddi, Lakhan Dev Sharma · Expert Systems with Applications | 27 Aug 2022 | 86 |
| 48 | Predicting rainfall using machine learning, deep learning, and time series models across an altitudinal gradient in the North-Western Himalayas Owais Ali Wani, Syed Sheraz Mahdi, Md Yeasin et al. · Scientific Reports | 13 Nov 2024 | 84 |
| 49 | Mechanical behaviour of polymer derived ceramics – a review Ravindran Sujith, Jothi Sudagar, André Zimmermann et al. · International Materials Reviews | 28 Jun 2020 | 84 |
| 50 | Blockchain Technology for Data Privacy using Contract Mechanism for 5G Networks P. William, Nijalingappa Yogeesh, S. Vimala et al. · 2022 3rd International Conference on Intelligent Engineering and Management (ICIEM) | 27 Apr 2022 | 83 |
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.