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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:

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) Vol. 10, pp. 107293-107329
Open Access | Times Cited: 163

Showing 1-25 of 163 citing articles:

A systematic review of Explainable Artificial Intelligence models and applications: Recent developments and future trends
A. Saranya, R. Subhashini
Decision Analytics Journal (2023) Vol. 7, pp. 100230-100230
Open Access | Times Cited: 182
A review on guided-ultrasonic-wave-based structural health monitoring: From fundamental theory to machine learning techniques
Zhengyan Yang, Hongjuan Yang, Tong Tian, et al.
Ultrasonics (2023) Vol. 133, pp. 107014-107014
Closed Access | Times Cited: 100
Advances in hydrogen storage materials: harnessing innovative technology, from machine learning to computational chemistry, for energy storage solutions
Ahmed I. Osman, Mahmoud Nasr, Abdelazeem S. Eltaweil, et al.
International Journal of Hydrogen Energy (2024) Vol. 67, pp. 1270-1294
Open Access | Times Cited: 45
A Short Review on Supervised Machine Learning and Deep Learning Techniques in Computer Vision
Ahmed Adil Nafea, Saeed Amer Alameri, Russel R. Majeed, et al.
Deleted Journal (2024) Vol. 2024, pp. 48-55
Open Access | Times Cited: 20
Two-dimensional nanomaterials-based optical biosensors empowered by machine learning for intelligent diagnosis
Rongshuang Tang, Jianyu Yang, Changzhuan Shao, et al.
TrAC Trends in Analytical Chemistry (2025), pp. 118162-118162
Closed Access | Times Cited: 1
X-ray Diffraction Data Analysis by Machine Learning Methods—A Review
Vasile-Adrian Surdu, Romuald Győrgy
Applied Sciences (2023) Vol. 13, Iss. 17, pp. 9992-9992
Open Access | Times Cited: 32
Computer vision applications for urban planning: A systematic review of opportunities and constraints
Raveena Marasinghe, Tan Yiğitcanlar, Severine Mayere, et al.
Sustainable Cities and Society (2023) Vol. 100, pp. 105047-105047
Open Access | Times Cited: 29
Computer vision to advance the sensing and control of built environment towards occupant-centric sustainable development: A critical review
Junqi Wang, Lanfei Jiang, Hanhui Yu, et al.
Renewable and Sustainable Energy Reviews (2023) Vol. 192, pp. 114165-114165
Closed Access | Times Cited: 26
Machine learning for predicting fatigue properties of additively manufactured materials
Min Yi, Ming Xue, Peihong Cong, et al.
Chinese Journal of Aeronautics (2023) Vol. 37, Iss. 4, pp. 1-22
Open Access | Times Cited: 25
Improving DOA Estimation via an Optimal Deep Residual Neural Network Classifier on Uniform Linear Arrays
Haya Al Kassir, Nikolaos V. Kantartzis, Pavlos I. Lazaridis, et al.
IEEE Open Journal of Antennas and Propagation (2024) Vol. 5, Iss. 2, pp. 460-473
Open Access | Times Cited: 8
Machine learning-based morphological and mechanical prediction of kirigami-inspired active composites
Keke Tang, Yujie Xiang, Jie Tian, et al.
International Journal of Mechanical Sciences (2023) Vol. 266, pp. 108956-108956
Closed Access | Times Cited: 18
Holographic communication using programmable coding metasurface
Fan Zhang, Chaohui Wang, Weike Feng, et al.
Nanophotonics (2024) Vol. 13, Iss. 8, pp. 1509-1519
Open Access | Times Cited: 7
Artificial Intelligence for Wireless Physical-Layer Technologies (AI4PHY): A Comprehensive Survey
Neng Ye, Sirui Miao, Jianxiong Pan, et al.
IEEE Transactions on Cognitive Communications and Networking (2024) Vol. 10, Iss. 3, pp. 729-755
Closed Access | Times Cited: 6
Advancing materials science through next-generation machine learning
Rohit Unni, Mingyuan Zhou, Peter R. Wiecha, et al.
Current Opinion in Solid State and Materials Science (2024) Vol. 30, pp. 101157-101157
Open Access | Times Cited: 6
Machine learning-driven feature importance appraisal of seismic parameters on tunnel damage and seismic fragility prediction
Qi Wang, Ping Geng, Liangjie Wang, et al.
Engineering Applications of Artificial Intelligence (2024) Vol. 137, pp. 109101-109101
Closed Access | Times Cited: 6
Exploring AI-driven approaches for unstructured document analysis and future horizons
Supriya V. Mahadevkar, Shruti Patil, Ketan Kotecha, et al.
Journal Of Big Data (2024) Vol. 11, Iss. 1
Open Access | Times Cited: 5
Impact of Environmental Conditions on Renewable Energy Prediction: An Investigation Through Tree-Based Community Learning
Ferdi Doğan, Saadin Oyucu, Derya Betul Unsal, et al.
Applied Sciences (2025) Vol. 15, Iss. 1, pp. 336-336
Open Access
Limb salvage prediction in peripheral artery disease patients using angiographic computer vision
Yury Rusinovich, Vitalii Liashko, Volha Rusinovich, et al.
Vascular (2025)
Closed Access
Data-Driven Prediction of Compressive Strength for Ultra-high Performance Concrete Exposed to Elevated Temperatures
Xiaoqing Yu, Canhui Chen, Jianliang Xie, et al.
Materials Today Communications (2025), pp. 111518-111518
Closed Access
A Review on Face Mask Recognition
Jiaonan Zhang, Dong An, Yiwen Zhang, et al.
Sensors (2025) Vol. 25, Iss. 2, pp. 387-387
Open Access
Reliability enhancement with coordinated operation of wind power and battery energy storage using machine learning based unit commitment decision
Tanmay Jain, Kusum Verma
Journal of Energy Storage (2025) Vol. 111, pp. 115455-115455
Closed Access
Common issues of data science on the eco-environmental risks of emerging contaminants
Xiangang Hu, Dong Xu, Zhangjia Wang
Environment International (2025) Vol. 196, pp. 109301-109301
Open Access
A Diabetes Mellitus Detection Using Fusion of IoMT, Generative AI, and eXplainable AI
G Varun, S. Sarveswaran, S. Shreeshaa, et al.
Advances in healthcare information systems and administration book series (2025), pp. 291-322
Closed Access
Retinal Fundus Imaging-Based Diabetic Retinopathy Classification using Transfer Learning and Fennec Fox Optimization
Indresh Kumar Gupta, Shruti Patil, Supriya Mahadevkar, et al.
MethodsX (2025), pp. 103232-103232
Open Access
The applications of machine learning mechanisms in the compositions of internet of things services: A systematic study, current progress, and future research agenda
J.-H Lu, Weisha Zhang, Marzieh Hamzei, et al.
Engineering Applications of Artificial Intelligence (2025) Vol. 147, pp. 110345-110345
Closed Access
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