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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:

Study on key technology of identification of mine water inrush source by PSO-LightGBM
Yuan Ji, Donglin Dong, Aoshuang Mei, et al.
Water Science & Technology Water Supply (2022) Vol. 22, Iss. 10, pp. 7416-7429
Open Access | Times Cited: 12

Showing 12 citing articles:

Research Progress on Identification of Mine Water Inrush Sources: A Visual Analysis Perspective
Yuan Ji, Lujia Yu, Zhonglin Wei, et al.
Mine Water and the Environment (2025)
Closed Access | Times Cited: 1
Rapid Source Identification of Mine Water Inrush Using Spectral Data Combined with BA-RBF Modeling
Zhonglin Wei, Yuan Ji, Hui‐Ming Fang, et al.
Water (2025) Vol. 17, Iss. 6, pp. 790-790
Open Access
Prediction of dike seepage pressure based on ISSA-BiLSTM
Shoukai Chen, Beiying Liu, Chunpeng Xing, et al.
(2025) Vol. 1, Iss. 01, pp. 1-16
Open Access
Water-sand inrush risk assessment method of sandy dolomite tunnel and its application in the Chenaju tunnel, southwest of China
Jiaxing Dong, Zhen-luo Shen, Cao Li, et al.
Geomatics Natural Hazards and Risk (2023) Vol. 14, Iss. 1
Open Access | Times Cited: 10
Discrimination Methods of Mine Inrush Water Source
Donglin Dong, Jialun Zhang
Water (2023) Vol. 15, Iss. 18, pp. 3237-3237
Open Access | Times Cited: 9
A hybrid artificial intelligence algorithm for fault diagnosis of hot rolled strip crown imbalance
Ruixiao Zhang, Yushuo Qi, Shanshan Kong, et al.
Engineering Applications of Artificial Intelligence (2023) Vol. 130, pp. 107763-107763
Closed Access | Times Cited: 8
Characteristics of resistivity variation in deep granite and in-situ detection applications
Zhen Fu, Yuezheng Zhang, Hongguang Ji, et al.
Scientific Reports (2024) Vol. 14, Iss. 1
Open Access | Times Cited: 2
Research on mine water source classifications based on BO-CatBoost
Han Li, Zhenwei Yang, Hang Lv, et al.
Environmental Monitoring and Assessment (2024) Vol. 196, Iss. 10
Closed Access | Times Cited: 1
Transfer Learning with Transformer-Based Models for Mine Water Inrush Prediction: A Multivariate Analysis Using Sparse and Imbalanced Monitoring Data
Huichao Yin, Gaizhuo Zhang, Qiang Wu, et al.
Mine Water and the Environment (2024)
Closed Access | Times Cited: 1
Application of dynamic weight in coal mine water inrush source identification
Mengke Cui, Pinghua Huang, Yongsheng Hu, et al.
Environmental Earth Sciences (2024) Vol. 83, Iss. 2
Closed Access
Prediction of dike seepage pressure based on ISSA-BiLSTM
Shoukai Chen, Beiying Liu, Chunpeng Xing, et al.
Research Square (Research Square) (2024)
Closed Access
Characteristics of Resistivity Variation in Deep Granite and In-Situ Detection Applications
Zhen Fu, Yuezheng Zhang, Hongguang Ji, et al.
Research Square (Research Square) (2024)
Open Access
Identification of Limestone Aquifer Inrush Water Sources in Different Geological Ages Based on Trace Components
Longqing Shi, Xiaoxuan Ma, Jin Han, et al.
Sustainability (2023) Vol. 15, Iss. 15, pp. 11646-11646
Open Access | Times Cited: 1
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