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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 Detailed Review on Decision Tree and Random Forest
Bhushan Talekar
Bioscience Biotechnology Research Communications (2020) Vol. 13, Iss. 14, pp. 245-248
Open Access | Times Cited: 64

Showing 1-25 of 64 citing articles:

Small data machine learning in materials science
Pengcheng Xu, Xiaobo Ji, Minjie Li, et al.
npj Computational Materials (2023) Vol. 9, Iss. 1
Open Access | Times Cited: 261
Food flavor analysis 4.0: A cross-domain application of machine learning
Xiangquan Zeng, Rui Cao, Yu Xi, et al.
Trends in Food Science & Technology (2023) Vol. 138, pp. 116-125
Closed Access | Times Cited: 43
The dawn of intelligent technologies in tea industry
Yang Wei, Yongqi Wen, Xiaolin Huang, et al.
Trends in Food Science & Technology (2024) Vol. 144, pp. 104337-104337
Closed Access | Times Cited: 27
Internet of things-driven approach integrated with explainable machine learning models for ship fuel consumption prediction
Van Nhanh Nguyen, Nathan Chung, N. Balaji, et al.
Alexandria Engineering Journal (2025) Vol. 118, pp. 664-680
Closed Access | Times Cited: 1
Emerging early diagnostic methods for acute kidney injury
Zuoxiu Xiao, Qiong Huang, Yuqi Yang, et al.
Theranostics (2022) Vol. 12, Iss. 6, pp. 2963-2986
Open Access | Times Cited: 55
Machine learning prediction models for compressive strength of calcined sludge-cement composites
Jinrui Zhang, Wen‐Jun Niu, Youzhi Yang, et al.
Construction and Building Materials (2022) Vol. 346, pp. 128442-128442
Closed Access | Times Cited: 42
Applications of Artificial Intelligence to Obesity Research: Scoping Review of Methodologies
Ruopeng An, Jing Shen, Yunyu Xiao
Journal of Medical Internet Research (2022) Vol. 24, Iss. 12, pp. e40589-e40589
Open Access | Times Cited: 30
Digital mapping of soil organic carbon density in China using an ensemble model
Yi Sun, Jin Ma, Wenhao Zhao, et al.
Environmental Research (2023) Vol. 231, pp. 116131-116131
Closed Access | Times Cited: 18
An interpretable machine learning model for predicting bond strength of CFRP-steel epoxy-bonded interface
Lu Ke, Mingdong Qiu, Zheng Chen, et al.
Composite Structures (2023) Vol. 326, pp. 117639-117639
Closed Access | Times Cited: 16
Wind speed prediction for site selection and reliable operation of wind power plants in coastal regions using machine learning algorithm variants
Tajrian Mollick, Galib Hashmi, Saifur Rahman Sabuj
Sustainable Energy Research (2024) Vol. 11, Iss. 1
Open Access | Times Cited: 7
Rheological behavior of 3D printed concrete: influential factors and printability prediction scheme
Huaxing Gao, Lang Jin, Yuxuan Chen, et al.
Journal of Building Engineering (2024) Vol. 91, pp. 109626-109626
Open Access | Times Cited: 7
Machine learning-based classification and prediction of typical Chinese green tea taste profiles
Yingbin Zhang, Xuwei Chen, Dingding Chen, et al.
Food Research International (2025), pp. 115796-115796
Closed Access
SERS-ATB: a comprehensive database server for antibiotic SERS spectral visualization and deep-learning identification
Quan Yuan, Jia-Wei Tang, Jie Chen, et al.
Environmental Pollution (2025), pp. 126083-126083
Closed Access
Organophosphate esters in soils of Beijing urban parks: Occurrence, potential sources, and probabilistic health risks
Y.X. Tian, Y. Wang, H.Y. Chen, et al.
The Science of The Total Environment (2023) Vol. 879, pp. 162855-162855
Closed Access | Times Cited: 15
Epitaxy of Emerging Materials and Advanced Heterostructures for Microelectronics and Quantum Sciences
Yeonjoo Lee, Soo Ho Choi, Hyunseok Kim, et al.
Small Methods (2025)
Open Access
Machine Learning-Based Prediction of Tribological Properties of Epoxy Composite Coating
Han Yan, Tan Junling, Hui Chen, et al.
Polymers (2025) Vol. 17, Iss. 3, pp. 282-282
Open Access
Optimising Water Use Through Smart Models and Artificial Intelligence
Jaime Ortiz, Víctor Manuel Zamudio-García
IGI Global eBooks (2025), pp. 165-196
Closed Access
Machine learning-assisted aroma profile prediction in Jiang-flavor baijiu
Min Zhu, Mingyao Wang, Gu Junfeng, et al.
Food Chemistry (2025) Vol. 478, pp. 143661-143661
Closed Access
Insights into PAHs oxidation assisted by CO2 and H2O at elevated pressures: A combined ReaxFF MD simulations and decision trees model
Zhuo Li, Xin Guo
Chemical Engineering Journal (2025) Vol. 509, pp. 161259-161259
Closed Access
Examining Residents’ Perceptions and Usage Preferences of Urban Public Green Spaces Through the Lens of Environmental Justice
Yusheng Yang, Shuoning Tang
Sustainability (2025) Vol. 17, Iss. 6, pp. 2627-2627
Open Access
Machine Learning Models for Predicting Adverse Pregnancy Outcomes in Pregnant Women with Systemic Lupus Erythematosus
Xinyu Hao, Dongying Zheng, Muhanmmad Khan, et al.
Diagnostics (2023) Vol. 13, Iss. 4, pp. 612-612
Open Access | Times Cited: 11
Virtual sample generation in machine learning assisted materials design and discovery
Pengcheng Xu, Xiaobo Ji, Minjie Li, et al.
Journal of Materials Informatics (2023) Vol. 3, Iss. 3
Open Access | Times Cited: 11
Advanced soft-sensing techniques for predicting furnace temperature in industrial organic waste gasification
Mingyue Yan, Huiyang Bi, HuanXu Wang, et al.
Process Safety and Environmental Protection (2024) Vol. 190, pp. 1253-1262
Closed Access | Times Cited: 3
An intriguing future is approaching: Artificial intelligence meets molecularly imprinted polymers
Tunca Karasu, Fatih Çalışır, Sena Pişkin, et al.
Journal of Pharmaceutical and Biomedical Analysis Open (2024) Vol. 4, pp. 100041-100041
Open Access | Times Cited: 3
Machine learning guided prediction of dynamic energy release in high-entropy alloys
Fengyuan Zhao, Zhouran Zhang, Yicong Ye, et al.
Materials & Design (2024), pp. 113339-113339
Open Access | Times Cited: 3
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