Institution · Bennett University
Most cited papers from Bennett University
What are the most cited papers from Bennett University?
The most cited paper from Bennett University is "FakeBERT: Fake news detection in social media with a BERT-based deep learning approach" (Rohit Kumar Kaliyar, Anurag Goswami, Pratik Narang, 2021), with 787 citations. Next come "ToLeD: Tomato Leaf Disease Detection using Convolution Neural Network" (699) and "A comprehensive survey on model compression and acceleration" (523).
Showing 50 of 60 papers. Every paper with more than 114 citations is listed.
| # | Paper | ||
|---|---|---|---|
| 1 | FakeBERT: Fake news detection in social media with a BERT-based deep learning approach Rohit Kumar Kaliyar, Anurag Goswami, Pratik Narang · Multimedia Tools and Applications | 7 Jan 2021 | 787 |
| 2 | ToLeD: Tomato Leaf Disease Detection using Convolution Neural Network Mohit Agarwal, Abhishek Singh, Siddhartha Kumar Arjaria et al. · Procedia Computer Science | 2020 | 699 |
| 3 | A comprehensive survey on model compression and acceleration Tejalal Choudhary, Vipul Kumar Mishra, Anurag Goswami et al. · Artificial Intelligence Review | 8 Feb 2020 | 523 |
| 4 | FNDNet – A deep convolutional neural network for fake news detection Rohit Kumar Kaliyar, Anurag Goswami, Pratik Narang et al. · Cognitive Systems Research | 21 Jan 2020 | 452 |
| 5 | Drone-surveillance for search and rescue in natural disaster Balmukund Mishra, Deepak Garg, Pratik Narang et al. · Computer Communications | 14 Mar 2020 | 412 |
| 6 | Plants Disease Identification and Classification Through Leaf Images: A Survey Sukhvir Kaur, Shreelekha Pandey, Shivani Goel · Archives of Computational Methods in Engineering | 19 Jan 2018 | 360 |
| 7 | Human activity recognition in artificial intelligence framework: a narrative review Neha Gupta, Suneet Kr. Gupta, Rajesh Kumar Pathak et al. · Artificial Intelligence Review | 17 Jan 2022 | 337 |
| 8 | Development of Efficient CNN model for Tomato crop disease identification Mohit Agarwal, Suneet Kr. Gupta, Kanad K. Biswas · Sustainable Computing Informatics and Systems | 4 Jul 2020 | 333 |
| 9 | Plant-derived extracellular vesicles: a novel nanomedicine approach with advantages and challenges Mohadeseh Nemati, Bipin Singh, Rakeeb Ahmad Mir et al. · Cell Communication and Signaling | 23 May 2022 | 305 |
| 10 | Handling imbalanced medical datasets: review of a decade of research Mabrouka Salmi, Dalia Atif, Diego A. Oliva et al. · Artificial Intelligence Review | 2 Sep 2024 | 265 |
| 11 | Stationary wavelet transform based ECG signal denoising method Ashish Kumar, Harshit Tomar, Virender Kumar Mehla et al. · ISA Transactions | 16 Dec 2020 | 264 |
| 12 | Privacy and Security Concerns in Generative AI: A Comprehensive Survey Abenezer Golda, Kidus Abebe Mekonen, Amit Pandey et al. · IEEE Access | 2024 | 261 |
| 13 | The Use of Human Patient Simulators Marie N. Bremner, Kathie Aduddell, David N. Bennett et al. · Nurse Educator | Jul 2006 | 260 |
| 14 | Leaf disease detection using machine learning and deep learning: Review and challenges Chittabarni Sarkar, Deepak Gupta, Umesh Chandra Gupta et al. · Applied Soft Computing | 21 Jun 2023 | 251 |
| 15 | Automated DDOS attack detection in software defined networking Nisha Ahuja, Gaurav Singal, Debajyoti Mukhopadhyay et al. · Journal of Network and Computer Applications | 19 May 2021 | 234 |
| 16 | Mix design factors and strength prediction of metakaolin-based geopolymer Mukund Lahoti, Pratik Narang, Kang Hai Tan et al. · Ceramics International | 3 Jun 2017 | 219 |
| 17 | Dingo Optimizer: A Nature-Inspired Metaheuristic Approach for Engineering Problems Amit Kumar Bairwa, Sandeep Joshi, Dilbag Singh · Mathematical Problems in Engineering | 9 Jun 2021 | 212 |
| 18 | Semi‐automatic leaf disease detection and classification system for soybean culture Sukhvir Kaur, Shreelekha Pandey, Shivani Goel · IET Image Processing | Feb 2018 | 202 |
| 19 | EHDHE: Enhancing security of healthcare documents in IoT-enabled digital healthcare ecosystems using blockchain Pratima Sharma, Suyel Namasudra, Rubén González Crespo et al. · Information Sciences | 10 Feb 2023 | 192 |
| 20 | Six decades of project management research: Thematic trends and future opportunities Milind G. Padalkar, Saji Gopinath · International Journal of Project Management | 11 Aug 2016 | 183 |
| 21 | Neuro-symbolic artificial intelligence: a survey Bikram Pratim Bhuyan, Amar Ramdane-Chérif, Ravi Pratap Singh Tomar et al. · Neural Computing and Applications | 6 Jun 2024 | 180 |
| 22 | Modern computing: Vision and challenges Sukhpal Singh Gill et al. · Telematics and Informatics Reports | 8 Jan 2024 | 179 |
| 23 | DeepFakE: improving fake news detection using tensor decomposition-based deep neural network Rohit Kumar Kaliyar, Anurag Goswami, Pratik Narang · The Journal of Supercomputing | 5 May 2020 | 179 |
| 24 | Plasmonic nanoparticle sensors: current progress, challenges, and future prospects Krishna Kant et al. · Nanoscale Horizons | 2024 | 171 |
| 25 | A Comparative Analysis of Machine Learning Algorithms to Predict Alzheimer’s Disease Morshedul Bari Antor, Ashfaq Jamil, Maliha Mamtaz et al. · Journal of Healthcare Engineering | 2 Jul 2021 | 170 |
| 26 | Towards DNA based data security in the cloud computing environment Suyel Namasudra, D. Muruga Radha Devi, Seifedine Kadry et al. · Computer Communications | 2 Jan 2020 | 170 |
| 27 | A Novel Signal Modeling Approach for Classification of Seizure and Seizure-Free EEG Signals Anubha Gupta, Pushpendra Singh, Mandar Karlekar · IEEE Transactions on Neural Systems and Rehabilitation Engineering | 22 Mar 2018 | 170 |
| 28 | Diabetic Retinopathy Diagnosis From Fundus Images Using Stacked Generalization of Deep Models Harshit Kaushik, Dilbag Singh, Manjit Kaur et al. · IEEE Access | 2021 | 169 |
| 29 | Artificial intelligence for cardiovascular disease risk assessment in personalised framework: a scoping review Manasvi Singh et al. · EClinicalMedicine | 27 May 2024 | 162 |
| 30 | Yoga Pose Estimation and Feedback Generation Using Deep Learning Vivek Anand Thoutam, Anugrah Srivastava, Tapas Badal et al. · Computational Intelligence and Neuroscience | 24 Mar 2022 | 162 |
| 31 | Model-Based Referenceless Quality Metric of 3D Synthesized Images Using Local Image Description Ke Gu, Vinit Jakhetiya, Junfei Qiao et al. · IEEE Transactions on Image Processing | 28 Jul 2017 | 156 |
| 32 | A survey on brain tumor detection techniques for MR images Prabhjot Kaur Chahal, Shreelekha Pandey, Shivani Goel · Multimedia Tools and Applications | 11 May 2020 | 155 |
| 33 | Sparse low rank factorization for deep neural network compression Sridhar Swaminathan, Deepak Garg, Rajkumar Kannan et al. · Neurocomputing | 15 Feb 2020 | 152 |
| 34 | An efficient removal of power-line interference and baseline wander from ECG signals by employing Fourier decomposition technique Amit Kumar Singhal, Pushpendra Singh, Binish Fatimah et al. · Biomedical Signal Processing and Control | 22 Nov 2019 | 150 |
| 35 | The impact of carbon and nitrogen catabolite repression in microorganisms Abhinav Nair, Saurabh Jyoti Sarma · Microbiological Research | 23 Jul 2021 | 147 |
| 36 | Densely connected convolutional networks-based COVID-19 screening model Dilbag Singh, Vijay Kumar, Manjit Kaur · Applied Intelligence | 7 Feb 2021 | 147 |
| 37 | Secure and Energy Efficient-Based E-Health Care Framework for Green Internet of Things Manjit Kaur, Dilbag Singh, Vijay Kumar et al. · IEEE Transactions on Green Communications and Networking | 21 May 2021 | 145 |
| 38 | A systematic literature review of speech emotion recognition approaches Youddha Beer Singh, Shivani Goel · Neurocomputing | 6 Apr 2022 | 144 |
| 39 | Detection of apnea events from ECG segments using Fourier decomposition method Binish Fatimah, Pushpendra Singh, Amit Kumar Singhal et al. · Biomedical Signal Processing and Control | 29 May 2020 | 143 |
| 40 | Modeling and prediction of COVID-19 pandemic using Gaussian mixture model Amit Kumar Singhal, Pushpendra Singh, Brejesh Lall et al. · Chaos Solitons & Fractals | 16 Jun 2020 | 142 |
| 41 | Imbalanced Breast Cancer Classification Using Transfer Learning Rishav Singh, Tanveer Ahmed, Abhinav Kumar et al. · IEEE Transactions on Computational Biology and Bioinformatics | 16 Mar 2020 | 138 |
| 42 | Change Detection in Remote Sensing Image Data Comparing Algebraic and Machine Learning Methods Anjali Goswami, Deepak Kumar Sharma, Harani Mathuku et al. · Electronics | 30 Jan 2022 | 135 |
| 43 | Unbalanced breast cancer data classification using novel fitness functions in genetic programming Divyaansh Devarriya, Cairo Gulati, Vidhi Mansharamani et al. · Expert Systems with Applications | 7 Aug 2019 | 133 |
| 44 | Monitoring early hydration of reinforced concrete structures using structural parameters identified by piezo sensors via electromechanical impedance technique Visalakshi Talakokula, Suresh Bhalla, Ashok Kumar Gupta · Mechanical Systems and Signal Processing | 17 Jun 2017 | 133 |
| 45 | An Empirical Analysis of Machine Learning Algorithms for Crime Prediction Using Stacked Generalization: An Ensemble Approach Sapna Singh Kshatri, Deepak Singh, Bhavana Narain et al. · IEEE Access | 2021 | 132 |
| 46 | A survey on Assistive Technology for visually impaired Kanak Manjari, Madhushi Verma, Gaurav Singal · Internet of Things | 16 Mar 2020 | 132 |
| 47 | Metabolic Rewiring by Loss of Sirt5 Promotes Kras-Induced Pancreatic Cancer Progression Tuo Hu et al. · Gastroenterology | 8 Jul 2021 | 128 |
| 48 | Mechanistic insights into nanoparticle surface-bacterial membrane interactions in overcoming antibiotic resistance Suraj Kumar Modi, Smriti Gaur, Mrittika Sengupta et al. · Frontiers in Microbiology | 21 Apr 2023 | 126 |
| 49 | EDLDR: An Ensemble Deep Learning Technique for Detection and Classification of Diabetic Retinopathy Sambit S Mondal, Nirupama Mandal, Krishna Kant Singh et al. · Diagnostics | 30 Dec 2022 | 126 |
| 50 | From What to How: An Initial Review of Publicly Available AI Ethics Tools, Methods and Research to Translate Principles into Practices Jessica Morley, Luciano Floridi, Libby Kinsey et al. · SSRN Electronic Journal | 2019 | 123 |
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.