Most cited papers in Smart Systems and Machine Learning
What are the most cited papers in Smart Systems and Machine Learning?
The most cited paper in Smart Systems and Machine Learning is "Artificial Intelligence (AI) applications for COVID-19 pandemic" (Raju Vaishya, Mohd Javaid, Ibrahim Haleem Khan et al., 2020), with 1,535 citations. Next come "Recommendation systems: Principles, methods and evaluation" (1,325) and "Regression Methods in Biostatistics: Linear, Logistic, Survival, and Repeated Measures Models" (1,187).
Showing 50 of 99 papers. Every paper with more than 109 citations is listed.
| # | Paper | ||
|---|---|---|---|
| 1 | Artificial Intelligence (AI) applications for COVID-19 pandemic Raju Vaishya, Mohd Javaid, Ibrahim Haleem Khan et al. · Diabetes & Metabolic Syndrome Clinical Research & Reviews | 14 Apr 2020 | 1,535 |
| 2 | Recommendation systems: Principles, methods and evaluation Folasade Olubusola Isinkaye, Yetunde O. Folajimi, Bolanle Adefowoke Ojokoh · Egyptian Informatics Journal | 20 Aug 2015 | 1,325 |
| 3 | Regression Methods in Biostatistics: Linear, Logistic, Survival, and Repeated Measures Models Eric Vittinghoff, David V. Glidden, Stephen C. Shiboski et al. · CERN Document Server (European Organization for Nuclear Research) | 30 Mar 2006 | 1,187 |
| 4 | Effect of Data Scaling Methods on Machine Learning Algorithms and Model Performance Md Manjurul Ahsan, M. A. Parvez Mahmud, Pritom Saha et al. · Technologies | 24 Jul 2021 | 752 |
| 5 | Heart Disease Identification Method Using Machine Learning Classification in E-Healthcare Jianping Li, Amin Ul Haq, Salah Ud Din et al. · IEEE Access | 2020 | 654 |
| 6 | An anatomization on breast cancer detection and diagnosis employing multi-layer perceptron neural network (MLP) and Convolutional neural network (CNN) Meha Desai, Manan Shah · Clinical eHealth | 24 Nov 2020 | 484 |
| 7 | Smart farming using artificial intelligence: A review Yaganteeswarudu Akkem, Saroj Kr. Biswas, Aruna V. Varanasi · Engineering Applications of Artificial Intelligence | 30 Jan 2023 | 394 |
| 8 | Agricultural object detection with You Only Look Once (YOLO) Algorithm: A bibliometric and systematic literature review Chetan Badgujar, Alwin Poulose, Hao Gan · Computers and Electronics in Agriculture | 31 May 2024 | 387 |
| 9 | Modified Alexnet architecture for classification of diabetic retinopathy images T. Shanthi, R. S. Sabeenian · Computers & Electrical Engineering | 16 Mar 2019 | 378 |
| 10 | Machine learning-based approach: global trends, research directions, and regulatory standpoints Raffaele Pugliese, Stefano Regondi, Riccardo Marini · Data Science and Management | Dec 2021 | 375 |
| 11 | Machine learning in agriculture domain: A state-of-art survey Vishal Ambadas Meshram, Kailas R. Patil, Vidula V. Meshram et al. · Artificial Intelligence in the Life Sciences | 2 Oct 2021 | 367 |
| 12 | Internet of Things and smart sensors in agriculture: Scopes and challenges Prem Rajak, Abhratanu Ganguly, Satadal Adhikary et al. · Journal of Agriculture and Food Research | 7 Sep 2023 | 351 |
| 13 | Coronavirus disease (COVID-19) cases analysis using machine-learning applications Ameer Sardar Kwekha-Rashid, Heamn Noori Abduljabbar, Bilal Alhayani · Applied Nanoscience | 21 May 2021 | 348 |
| 14 | A bio-inspired swarm intelligence technique for social aware cognitive radio handovers H. Anandakumar, K. Umamaheswari · Computers & Electrical Engineering | 28 Sep 2017 | 340 |
| 15 | Deepfake detection using deep learning methods: A systematic and comprehensive review Arash Heidari, Nima Jafari Navimipour, Hasan Dağ et al. · Wiley Interdisciplinary Reviews Data Mining and Knowledge Discovery | 20 Nov 2023 | 336 |
| 16 | ABCD Analysis as Research Methodology in Company Case Studies P. S. Aithal · International Journal of Management Technology and Social Sciences | 15 Sep 2017 | 335 |
| 17 | Supervised machine learning techniques in cognitive radio networks during cooperative spectrum handovers H. Anandakumar, K. Umamaheswari · Cluster Computing | 3 Mar 2017 | 330 |
| 18 | A Machine Learning Methodology for Diagnosing Chronic Kidney Disease Jiongming Qin, Lin Chen, Yuhua Liu et al. · IEEE Access | 30 Dec 2019 | 325 |
| 19 | A healthcare monitoring system using random forest and internet of things (IoT) Pavleen Kaur, Ravinder Kumar, Munish Kumar · Multimedia Tools and Applications | 22 Feb 2019 | 324 |
| 20 | Artificial Intelligence in Business: From Research and Innovation to Market Deployment Neha R. Soni, Enakshi K. Sharma, Narotam Singh et al. · Procedia Computer Science | 2020 | 308 |
| 21 | Heart Disease Prediction and Classification Using Machine Learning Algorithms Optimized by Particle Swarm Optimization and Ant Colony Optimization Youness Khourdifi, Mohamed Bahaj · International journal of intelligent engineering and systems | 20 Dec 2018 | 305 |
| 22 | Automated detection and classification of fundus diabetic retinopathy images using synergic deep learning model K. Shankar, Abdul Rahaman Wahab Sait, Deepak Kumar Gupta et al. · Pattern Recognition Letters | 3 Mar 2020 | 299 |
| 23 | Overview: Technology Roadmap of the Future Trend of Metaverse based on IoT, Blockchain, AI Technique, and Medical Domain Metaverse Activity Md Ariful Islam Mozumder, Muhammad Mohsan Sheeraz, Ali Athar et al. · 2022 24th International Conference on Advanced Communication Technology (ICACT) | 13 Feb 2022 | 296 |
| 24 | Application of Artificial Intelligence in Automation of Supply Chain Management Rupa Dash, Mark E. McMurtrey, Carl M. Rebman et al. · Journal of Strategic Innovation and Sustainability | 18 Jul 2019 | 291 |
| 25 | A Review on Machine Learning Styles in Computer Vision—Techniques and Future Directions Supriya V. Mahadevkar, Bharti Khemani, Shruti Patil et al. · IEEE Access | 2022 | 286 |
| 26 | A Healthcare Monitoring System for the Diagnosis of Heart Disease in the IoMT Cloud Environment Using MSSO-ANFIS Mohammad Ayoub Khan, Fahad Algarni · IEEE Access | 2020 | 285 |
| 27 | Artificial Intelligence Technology in the Agricultural Sector: A Systematic Literature Review Ersin Elbaşı, Nour Mostafa, Zakwan Al-Arnaout et al. · IEEE Access | 26 Dec 2022 | 284 |
| 28 | Influence of learning and working climate on the retention of talented employees Natalie Govaerts, Eva Kyndt, Filip J. R. C. Dochy et al. · Journal of Workplace Learning | 22 Feb 2011 | 280 |
| 29 | Detection of rice plant diseases based on deep transfer learning Junde Chen, Defu Zhang, Yaser Ahangari Nanehkaran et al. · Journal of the Science of Food and Agriculture | 3 Mar 2020 | 265 |
| 30 | A Brief Review of Independent, Dependent and One Sample t-test Banda Gerald · International Journal of Applied Mathematics and Theoretical Physics | 2018 | 264 |
| 31 | Artificial Intelligence and Internet of Things Enabled Disease Diagnosis Model for Smart Healthcare Systems Romany Fouad Mansour, Adnen El Amraoui, Issam Nouaouri et al. · IEEE Access | 2021 | 258 |
| 32 | Hybrid Model for Detection of Cervical Cancer Using Causal Analysis and Machine Learning Techniques Umesh Kumar Lilhore, M. Poongodi, Amandeep Kaur et al. · Computational and Mathematical Methods in Medicine | 4 May 2022 | 253 |
| 33 | A Review of Medical Image Segmentation Algorithms Kalidhasan Ramesh, Gaurav Kumar, Kanagiri Swapna et al. · EAI Endorsed Transactions on Pervasive Health and Technology | 12 Apr 2021 | 253 |
| 34 | A new mobile application of agricultural pests recognition using deep learning in cloud computing system Mohamed Esmail Karar, Fahad Alsunaydi, Sultan Albusaymi et al. · Alexandria Engineering Journal | Apr 2021 | 253 |
| 35 | Sustainable AI-based production agriculture: Exploring AI applications and implications in agricultural practices A.A. Mana, A. Allouhi, Abderrachid Hamrani et al. · Smart Agricultural Technology | 17 Feb 2024 | 236 |
| 36 | Harris hawks optimization: a comprehensive review of recent variants and applications Hamzeh Mohammad Alabool, Deemah Alarabiat, Laith Abualigah et al. · Neural Computing and Applications | 3 Feb 2021 | 229 |
| 37 | Artificial Intelligence and Internet of Things Based Healthcare 4.0 Monitoring System Amit Kishor, Chinmay Chakraborty · Wireless Personal Communications | 3 Jul 2021 | 228 |
| 38 | Canonical Correlation Analysis Based Hyper Basis Feedforward Neural Network Classification for Urban Sustainability Anandakumar Haldorai, Arulmurugan Ramu · Neural Processing Letters | Aug 2020 | 216 |
| 39 | Realizing an Effective COVID-19 Diagnosis System Based on Machine Learning and IoT in Smart Hospital Environment Karrar Hameed Abdulkareem, Mazin Abed Mohammed, Ahmad Salim et al. · IEEE Internet of Things Journal | 12 Jan 2021 | 209 |
| 40 | Multiple disease prediction using Machine learning algorithms Kamalesh Jayapandiaraj Arumugam, Mohd Inshal Naved, Priyanka P. Shinde et al. · Materials Today Proceedings | 2 Aug 2021 | 208 |
| 41 | More about the basic assumptions of t-test: normality and sample size Tae Kyun Kim, Jae Hong Park · Korean Journal of Anesthesiology | Apr 2019 | 207 |
| 42 | Crop Recommender System Using Machine Learning Approach Shilpa Mangesh Pande, Prem Kumar Ramesh, Anmol Anmol et al. | 8 Apr 2021 | 206 |
| 43 | An Improved Harris Hawks Optimization Algorithm With Simulated Annealing for Feature Selection in the Medical Field Zenab Mohamed Elgamal, Norizan Binti Mohd Yasin, Mohammad Tubishat et al. · IEEE Access | 2020 | 191 |
| 44 | Machine Learning Applications in Internet-of-Drones: Systematic Review, Recent Deployments, and Open Issues Arash Heidari, Nima Jafari Navimipour, Mehmet Ünal et al. · ACM Computing Surveys | 18 Nov 2022 | 188 |
| 45 | Application of Deep Learning on Student Engagement in e-learning environments Prakhar Bhardwaj, P. K. Gupta, Harsh Panwar et al. · Computers & Electrical Engineering | 22 Jun 2021 | 185 |
| 46 | Cloud Computing-Based Framework for Breast Cancer Diagnosis Using Extreme Learning Machine Vivek Lahoura, Harpreet Singh, Ashutosh Aggarwal et al. · Diagnostics | 4 Feb 2021 | 184 |
| 47 | The deep learning applications in IoT-based bio- and medical informatics: a systematic literature review Zahra Mohtasham‐Amiri, Arash Heidari, Nima Jafari Navimipour et al. · Neural Computing and Applications | 13 Jan 2024 | 176 |
| 48 | A Systematic Review on Metaheuristic Optimization Techniques for Feature Selections in Disease Diagnosis: Open Issues and Challenges Sukhpreet Kaur, Yogesh Kumar, Apeksha Koul et al. · Archives of Computational Methods in Engineering | 27 Nov 2022 | 173 |
| 49 | A Survey of Challenges and Applications of Wireless Body Area Network (WBAN) and Role of a Virtual Doctor Server in Existing Architecture Deena M. Barakah, Mohammad Ammad Uddin | Feb 2012 | 170 |
| 50 | Intelligent Model to Predict Early Liver Disease using Machine Learning Technique Taher M. Ghazal, Aziz Ur Rehman, Muhammad Aamir Saleem et al. · 2022 International Conference on Business Analytics for Technology and Security (ICBATS) | 16 Feb 2022 | 165 |
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 a field when OpenAlex files it under one of the field's topics; 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.