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OpenAlex Citation Counts

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OpenAlex is a bibliographic catalogue of scientific papers, authors and institutions accessible in open access mode, named after the Library of Alexandria. It's citation coverage is excellent and I hope you will find utility in this listing of citing articles!

If you click the article title, you'll navigate to the article, as listed in CrossRef. If you click the Open Access links, you'll navigate to the "best Open Access location". Clicking the citation count will open this listing for that article. Lastly at the bottom of the page, you'll find basic pagination options.

Requested Article:

Diagnosing of disease using machine learning
Pushpa Singh, Narendra Singh, Krishna Kant Singh, et al.
Elsevier eBooks (2021), pp. 89-111
Closed Access | Times Cited: 89

Showing 1-25 of 89 citing articles:

Assessing uncertainty in image-based monitoring: addressing false positives, false negatives, and base rate bias in structural health evaluation
Vagelis Plevris
Stochastic Environmental Research and Risk Assessment (2025)
Open Access | Times Cited: 1
Deep Learning Ensemble-Based Automated and High-Performing Recognition of Coffee Leaf Disease
Damar Novtahaning, Hasnain Ali Shah, Jae‐Mo Kang
Agriculture (2022) Vol. 12, Iss. 11, pp. 1909-1909
Open Access | Times Cited: 37
Deployment of an intelligent and secure cattle health monitoring system
Jehangir Arshad, Talha Ahmad Siddiqui, M. Ismail Sheikh, et al.
Egyptian Informatics Journal (2023) Vol. 24, Iss. 2, pp. 265-275
Open Access | Times Cited: 24
Increased Nerve Density Adversely Affects Outcome in Oral Cancer
Cindy Perez‐Pacheco, Ligia B. Schmitd, Allison Furgal, et al.
Clinical Cancer Research (2023) Vol. 29, Iss. 13, pp. 2501-2512
Open Access | Times Cited: 24
Water Body Mapping Using Long Time Series Sentinel-1 SAR Data in Poyang Lake
Guozhuang Shen, Wenxue Fu, Huadong Guo, et al.
Water (2022) Vol. 14, Iss. 12, pp. 1902-1902
Open Access | Times Cited: 28
Search and Rescue–Based Sparse Auto‐Encoder for Detecting Heart Disease in IoT Healthcare Environment
Rakesh Chandrashekar, B. Gunapriya, Balasubramanian Prabhu Kavin
(2025), pp. 289-309
Closed Access
Optical coherence tomography image based eye disease detection using deep convolutional neural network
Puneet, Rakesh Kumar, Meenu Gupta
Health Information Science and Systems (2022) Vol. 10, Iss. 1
Open Access | Times Cited: 27
A hybrid chromaticity-morphological machine learning model to overcome the limit of detecting newcastle disease in experimentally infected chicken within 36 h
Mohd Anif Akhmal Abu Bakar, Pin Jern Ker, Shirley Gee Hoon Tang, et al.
Computers and Electronics in Agriculture (2025) Vol. 234, pp. 110248-110248
Closed Access
Using feature optimization and LightGBM algorithm to predict the clinical pregnancy outcomes after in vitro fertilization
Lu Li, Xiangrong Cui, Jian Yang, et al.
Frontiers in Endocrinology (2023) Vol. 14
Open Access | Times Cited: 10
Accuracy Analysis of Type-2 Fuzzy System in Predicting Parkinson’s Disease Using Biomedical Voice Measures
Mehrbakhsh Nilashi, Rabab Ali Abumalloh, Hossein Ahmadi, et al.
International Journal of Fuzzy Systems (2024) Vol. 26, Iss. 4, pp. 1261-1284
Closed Access | Times Cited: 3
Controlled Environment Ecosystem: A Cutting-Edge Technology in Speed Breeding
Avinash Sharma, Mainu Hazarika, Punabati Heisnam, et al.
ACS Omega (2024) Vol. 9, Iss. 27, pp. 29114-29138
Open Access | Times Cited: 3
A Survey on AI Techniques for Thoracic Diseases Diagnosis Using Medical Images
Fatma Mostafa, Lamiaa A. Elrefaei, Mostafa M. Fouda, et al.
Diagnostics (2022) Vol. 12, Iss. 12, pp. 3034-3034
Open Access | Times Cited: 15
The study of the effect of preprocessing techniques for emotion detection on Amazon product review dataset
Diksha Shukla, Sanjay K. Dwivedi
Social Network Analysis and Mining (2024) Vol. 14, Iss. 1
Closed Access | Times Cited: 2
Translating conventional wisdom on chicken comb color into automated monitoring of disease-infected chicken using chromaticity-based machine learning models
Mohd Anif Akhmal Abu Bakar, Pin Jern Ker, Shirley G. H. Tang, et al.
Frontiers in Veterinary Science (2023) Vol. 10
Open Access | Times Cited: 6
Machine Learning Revolution in Early Disease Detection for Healthcare: Advancements, Challenges, and Future Prospects
Kumbala Pradeep Reddy, Mankala Satish, Allam Jaya Prakash, et al.
(2023), pp. 638-643
Closed Access | Times Cited: 6
Building Predictive Models with Machine Learning
Ruchi Gupta, Anupama Sharma, Tanweer Alam
Studies in big data (2024), pp. 39-59
Closed Access | Times Cited: 1
A Fine-Tuned RetinaNet for Real-Time Lettuce Detection
Eko Prasetyo, Hidetaka Nambo
Lontar Komputer Jurnal Ilmiah Teknologi Informasi (2024) Vol. 15, Iss. 1, pp. 13-13
Open Access | Times Cited: 1
An Integrated Rule-Based and Machine Learning Technique for Efficient DoS Attack Detection in WSN
Shalini Swami, Pushpa Singh, Sansar Singh Chauhan
(2024), pp. 847-851
Closed Access | Times Cited: 1
Anomaly Detection and Classification in Solar Panels Using Infrared Image and Deep Learning
Sweety Nagar, Praveen Kumar
(2024), pp. 1554-1557
Closed Access | Times Cited: 1
Integration of Federated Learning and Blockchain in Healthcare: A Tutorial
Yahya Shahsavari, Oussama Abderrahmane Dambri, Yaser Baseri, et al.
(2024)
Open Access | Times Cited: 1
Applying Machine Learning Techniques to Identify Key Factors Motivating Flood-Prone Residents to Implement Private Flood Mitigation Measures
افشین فولادی سمنان, Tariq Maqsood, Srikanth Venkatesan
Natural Hazards Review (2024) Vol. 25, Iss. 3
Closed Access | Times Cited: 1
Development of a Machine‐Learning Model for Diagnosis of Pancreatic Cancer from Serum Samples Analyzed by Thermal Liquid Biopsy
Sonia Hermoso‐Durán, Nicolás A. Fraunhoffer, Judith Millastre‐Bocos, et al.
Advanced Intelligent Systems (2024)
Open Access | Times Cited: 1
Development of a Deep Learning‐Assisted Mobile Application for the Identification of Nematodes Through Microscopic Images
Naseeb Singh, Ashish Kumar Singh, L.K. Dhruw, et al.
Modern Agriculture (2024) Vol. 2, Iss. 2
Open Access | Times Cited: 1
Comparative Study of Random Forest and Support Vector Machine for Land Cover Classification and Post-Wildfire Change Detection
Yong How Jonathan Tan, Lia Duarte, Ana Cláudia Teodoro
Land (2024) Vol. 13, Iss. 11, pp. 1878-1878
Open Access | Times Cited: 1
Machine Learning to Identify Monkey Pox Disease
Febri Aldi, Irohito Nozomi, Rio Bayu Sentosa, et al.
SinkrOn (2023) Vol. 8, Iss. 3, pp. 1335-1347
Open Access | Times Cited: 4
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