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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 of clustered microseismic events in a coal mine using machine learning
Yi Duan, Yiran Shen, Ismet Canbulat, et al.
Journal of Rock Mechanics and Geotechnical Engineering (2021) Vol. 13, Iss. 6, pp. 1256-1273
Open Access | Times Cited: 46

Showing 1-25 of 46 citing articles:

Machine learning in microseismic monitoring
Denis Anikiev, Claire Birnie, Umair bin Waheed, et al.
Earth-Science Reviews (2023) Vol. 239, pp. 104371-104371
Open Access | Times Cited: 60
Editorial for Advances and applications of deep learning and soft computing in geotechnical underground engineering
Wengang Zhang, Kok‐Kwang Phoon
Journal of Rock Mechanics and Geotechnical Engineering (2022) Vol. 14, Iss. 3, pp. 671-673
Open Access | Times Cited: 59
Deep learning of rock microscopic images for intelligent lithology identification: Neural network comparison and selection
Zhenhao Xu, Wen Ma, Peng Lin, et al.
Journal of Rock Mechanics and Geotechnical Engineering (2022) Vol. 14, Iss. 4, pp. 1140-1152
Open Access | Times Cited: 38
Microseismic event waveform classification using CNN-based transfer learning models
Longjun Dong, Hongmei Shu, Zheng Tang, et al.
International Journal of Mining Science and Technology (2023) Vol. 33, Iss. 10, pp. 1203-1216
Open Access | Times Cited: 24
A critical review of rock failure Criteria: A scope of Machine learning approach
Mohatsim Mahetaji, Jwngsar Brahma
Engineering Failure Analysis (2024) Vol. 159, pp. 107998-107998
Closed Access | Times Cited: 10
Coal burst spatio-temporal prediction method based on bidirectional long short-term memory network
Xu Yang, Yapeng Liu, Anye Cao, et al.
International Journal of Coal Science & Technology (2025) Vol. 12, Iss. 1
Open Access | Times Cited: 1
Microseismic Event Classification With Time-, Frequency-, and Wavelet-Domain Convolutional Neural Networks
Jiaxin Jiang, Vladimir Stanković, Lina Stanković, et al.
IEEE Transactions on Geoscience and Remote Sensing (2023) Vol. 61, pp. 1-14
Open Access | Times Cited: 16
Deep Learning for Earthquake Disaster Assessment: Objects, Data, Models, Stages, Challenges, and Opportunities
Jing Jia, Wenjie Ye
Remote Sensing (2023) Vol. 15, Iss. 16, pp. 4098-4098
Open Access | Times Cited: 15
Automated identification of fissure trace in mining roadway via deep learning
Yuxin Yuan, Nong Zhang, Changliang Han, et al.
Journal of Rock Mechanics and Geotechnical Engineering (2023) Vol. 15, Iss. 8, pp. 2039-2052
Open Access | Times Cited: 13
Developing hybrid XGBoost model integrated with entropy weight and Bayesian optimization for predicting tunnel squeezing intensity
Xiaojie Geng, Shunchuan Wu, Yanjie Zhang, et al.
Natural Hazards (2023) Vol. 119, Iss. 1, pp. 751-771
Open Access | Times Cited: 13
Study on deep learning methods for coal burst risk prediction based on mining-induced seismicity quantification
Xianggang Cheng, Wei Qiao, Hu He
Geomechanics and Geophysics for Geo-Energy and Geo-Resources (2023) Vol. 9, Iss. 1
Open Access | Times Cited: 13
A human-on-the-loop approach for labelling seismic recordings from landslide site via a multi-class deep-learning based classification model
Jiaxin Jiang, David Murray, Vladimir Stanković, et al.
Science of Remote Sensing (2025), pp. 100189-100189
Open Access
A simple and effective MLP-Based seismic signal classifier using temporal and spectral envelope features with genetic Algorithm-Optimization
E.H. Ait Laasri, Abderrahman Atmani, Es-Saïd Akhouayri, et al.
Measurement (2025), pp. 116776-116776
Closed Access
A lightweight model hyperparameters searching method for fast, accurate and on-site lithology identification
Zhenhao Xu, Heng Shi, Peng Lin, et al.
Journal of Rock Mechanics and Geotechnical Engineering (2025)
Open Access
Multi-dimensional real-time data-driven identification for progressive fracturing characteristics of sandstone under freeze-thaw cycles and seepage-stress coupling
Sen Zhang, Yongjun Song, Xiao Wang, et al.
Engineering Applications of Artificial Intelligence (2025) Vol. 152, pp. 110803-110803
Closed Access
A theoretical goaf resistance model based on gas production analysis in goaf gas drainage
Yuehan Wang, Guangyao Si, Zizhuo Xiang, et al.
International Journal of Coal Geology (2022) Vol. 264, pp. 104140-104140
Open Access | Times Cited: 19
An intelligent lithology recognition system for continental shale by using digital coring images and convolutional neural networks
Zhuo Zhang, Jizhou Tang, Bo Fan, et al.
Geoenergy Science and Engineering (2024) Vol. 239, pp. 212909-212909
Closed Access | Times Cited: 4
Application of artificial intelligence in coal mine ultra-deep roadway engineering—a review
Bingbing Yu, Bo Wang, Yuantong Zhang
Artificial Intelligence Review (2024) Vol. 57, Iss. 10
Open Access | Times Cited: 3
Variation of seismicity using reinforced seismic data for coal burst risk assessment in underground mines
Changbin Wang, Guangyao Si, Chengguo Zhang, et al.
International Journal of Rock Mechanics and Mining Sciences (2023) Vol. 165, pp. 105363-105363
Closed Access | Times Cited: 8
A novel long-short term memory network approach for stress model updating for excavations in high stress environments
Josephine Morgenroth, K. Kalenchuk, Lindsay Moreau-Verlaan, et al.
Georisk Assessment and Management of Risk for Engineered Systems and Geohazards (2023) Vol. 17, Iss. 1, pp. 196-216
Closed Access | Times Cited: 8
Application of artificial neural networks for stress state analysis based on the photoelastic method
А. И. Конурин, Neverov Sergey, Neverov Alexandr, et al.
Geohazard Mechanics (2023) Vol. 1, Iss. 2, pp. 128-139
Open Access | Times Cited: 8
A Method for Evaluating the Data Integrity of Microseismic Monitoring Systems in Mines Based on a Gradient Boosting Algorithm
Cong Wang, Kai Zhan, Xigui Zheng, et al.
Mathematics (2024) Vol. 12, Iss. 12, pp. 1902-1902
Open Access | Times Cited: 2
Research on prediction of high energy microseismic events in rock burst mines based on BP neural network
Hongwei Wang, Lei Xu, Hongmei Yu, et al.
Scientific Reports (2024) Vol. 14, Iss. 1
Open Access | Times Cited: 2
Performance evaluation of hybrid YYPO-RF, BWOA-RF and SMA-RF models to predict plastic zones around underground powerhouse caverns
Jian Zhou, Yuxin Chen, Weixun Yong
Geomechanics and Geophysics for Geo-Energy and Geo-Resources (2022) Vol. 8, Iss. 6
Closed Access | Times Cited: 11
Location and mechanism analysis of curtain water inrush channels based on MTI-derived parameters-a case study
Yong Zhao, Tianhong Yang, Wenxue Deng, et al.
Tunnelling and Underground Space Technology (2023) Vol. 141, pp. 105357-105357
Closed Access | Times Cited: 6
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