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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:

Classification Based on Decision Tree Algorithm for Machine Learning
Bahzad Charbuty, Adnan Mohsin Abdulazeez
Journal of Applied Science and Technology Trends (2021) Vol. 2, Iss. 01, pp. 20-28
Open Access | Times Cited: 1264

Showing 1-25 of 1264 citing articles:

Machine Learning Applications based on SVM Classification A Review
Dakhaz Mustafa Abdullah, Adnan Mohsin Abdulazeez
Qubahan Academic Journal (2021) Vol. 1, Iss. 2, pp. 81-90
Open Access | Times Cited: 141
Detection of Cardiovascular Diseases in ECG Images Using Machine Learning and Deep Learning Methods
Mohammed Abubaker, Bilal Babayiğit
IEEE Transactions on Artificial Intelligence (2022) Vol. 4, Iss. 2, pp. 373-382
Closed Access | Times Cited: 86
Analytics of machine learning-based algorithms for text classification
Sayar Ul Hassan, Jameel Ahamed, Khaleel Ahmad
Sustainable Operations and Computers (2022) Vol. 3, pp. 238-248
Open Access | Times Cited: 85
A supervised machine learning algorithm for detecting and predicting fraud in credit card transactions
Jonathan Kwaku Afriyie, Kassim Tawiah, Wilhemina Adoma Pels, et al.
Decision Analytics Journal (2023) Vol. 6, pp. 100163-100163
Open Access | Times Cited: 85
A comprehensive study on skin cancer detection using artificial neural network (ANN) and convolutional neural network (CNN)
Aarushi Shah, Manan Shah, A.S. Pandya, et al.
Clinical eHealth (2023) Vol. 6, pp. 76-84
Open Access | Times Cited: 85
Autonomous driving system: A comprehensive survey
Jingyuan Zhao, Wenyi Zhao, Bo Deng, et al.
Expert Systems with Applications (2023) Vol. 242, pp. 122836-122836
Closed Access | Times Cited: 83
Machine‐Learning Assisted Electronic Skins Capable of Proprioception and Exteroception in Soft Robotics
Sheng Shu, Ziming Wang, Pengfei Chen, et al.
Advanced Materials (2023) Vol. 35, Iss. 18
Closed Access | Times Cited: 77
Machine learning approaches to identify Parkinson's disease using voice signal features
Raya Alshammri, Ghaida Alharbi, Ebtisam Alharbi, et al.
Frontiers in Artificial Intelligence (2023) Vol. 6
Open Access | Times Cited: 73
En-MinWhale: An Ensemble Approach Based on MRMR and Whale Optimization for Cancer Diagnosis
Amrutanshu Panigrahi, Abhilash Pati, Bibhuprasad Sahu, et al.
IEEE Access (2023) Vol. 11, pp. 113526-113542
Open Access | Times Cited: 60
Flood susceptible prediction through the use of geospatial variables and machine learning methods
Navid Mahdizadeh Gharakhanlou, Liliana Pérez
Journal of Hydrology (2023) Vol. 617, pp. 129121-129121
Closed Access | Times Cited: 54
Artificial intelligence-based traffic flow prediction: a comprehensive review
Sayed Ahmed, Yasser M. Abdelhamid, Hesham A. Hefny
Journal of Electrical Systems and Information Technology (2023) Vol. 10, Iss. 1
Open Access | Times Cited: 48
Carbon capture, utilization and sequestration systems design and operation optimization: Assessment and perspectives of artificial intelligence opportunities
Eslam G. Al-Sakkari, Ahmed Ragab, Hanane Dagdougui, et al.
The Science of The Total Environment (2024) Vol. 917, pp. 170085-170085
Closed Access | Times Cited: 35
Enhancing food authentication through E-nose and E-tongue technologies: Current trends and future directions
Naveen Kumar Mahanti, Shivashankar Sanganamoni, Krishna Bahadur Chhetri, et al.
Trends in Food Science & Technology (2024) Vol. 150, pp. 104574-104574
Closed Access | Times Cited: 33
High-throughput microfluidic systems accelerated by artificial intelligence for biomedical applications
Jianhua Zhou, Jianpei Dong, Hongwei Hou, et al.
Lab on a Chip (2024) Vol. 24, Iss. 5, pp. 1307-1326
Open Access | Times Cited: 20
AI-based methodologies for exoskeleton-assisted rehabilitation of the lower limb: a review
Omar Coser, Christian Tamantini, Paolo Soda, et al.
Frontiers in Robotics and AI (2024) Vol. 11
Open Access | Times Cited: 18
Estimating the compressive and tensile strength of basalt fibre reinforced concrete using advanced hybrid machine learning models
Irfan Ullah, Muhammad Faisal Javed, Hisham Alabduljabbar, et al.
Structures (2025) Vol. 71, pp. 108138-108138
Closed Access | Times Cited: 2
Improving flood-prone areas mapping using geospatial artificial intelligence (GeoAI): A non-parametric algorithm enhanced by math-based metaheuristic algorithms
Seyed Vahid Razavi-Termeh, Abolghasem Sadeghi‐Niaraki, Farman Ali, et al.
Journal of Environmental Management (2025) Vol. 375, pp. 124238-124238
Closed Access | Times Cited: 2
Application of machine learning for advanced material prediction and design
Cheuk Hei Chan, Mingzi Sun, Bolong Huang
EcoMat (2022) Vol. 4, Iss. 4
Open Access | Times Cited: 66
Lung cancer Prediction and Classification based on Correlation Selection method Using Machine Learning Techniques
Dakhaz Mustafa Abdullah, Adnan Mohsin Abdulazeez, Amira Bibo Sallow
Qubahan Academic Journal (2021) Vol. 1, Iss. 2, pp. 141-149
Open Access | Times Cited: 65
Effect of varying training epochs of a Faster Region-Based Convolutional Neural Network on the Accuracy of an Automatic Weed Classification Scheme
Oluibukun Gbenga Ajayi, John Ashi
Smart Agricultural Technology (2022) Vol. 3, pp. 100128-100128
Open Access | Times Cited: 55
Machine learning approaches for prediction of fine-grained soils liquefaction
Mustafa Özsağır, Caner Erden, Ertan Bol, et al.
Computers and Geotechnics (2022) Vol. 152, pp. 105014-105014
Closed Access | Times Cited: 54
Detection of COVID-19 using deep learning techniques and classification methods
Çinare Oğuz, Mete Yağanoğlu
Information Processing & Management (2022) Vol. 59, Iss. 5, pp. 103025-103025
Open Access | Times Cited: 49
Detecting Anomalies in Financial Data Using Machine Learning Algorithms
Alexander Bakumenko, Ahmed Elragal
Systems (2022) Vol. 10, Iss. 5, pp. 130-130
Open Access | Times Cited: 49
A Machine Learning-Based Water Potability Prediction Model by Using Synthetic Minority Oversampling Technique and Explainable AI
Jinal Patel, Charmi Amipara, Tariq Ahamed Ahanger, et al.
Computational Intelligence and Neuroscience (2022) Vol. 2022, pp. 1-15
Open Access | Times Cited: 49
Significance of Machine Learning for Detection of Malicious Websites on an Unbalanced Dataset
Ietezaz Ul Hassan, Raja Hashim Ali, Zain ul Abideen, et al.
Digital (2022) Vol. 2, Iss. 4, pp. 501-519
Open Access | Times Cited: 49
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