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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:

Neural network–based prediction methods for height of water-flowing fractured zone caused by underground coal mining
Song Dai, Bo Han, Shiliang Liu, et al.
Arabian Journal of Geosciences (2020) Vol. 13, Iss. 12
Closed Access | Times Cited: 23

Showing 23 citing articles:

Tectonic controls on the development of water-conducting fracture zones in the North China Block
Guichao Gai, Mei Qiu, Longqing Shi
Measurement (2025) Vol. 246, pp. 116726-116726
Closed Access | Times Cited: 1
Failure mode of monopile foundation for offshore wind turbine in soft clay under complex loads
Song Dai, Bo Han, Guoxiang Huang, et al.
Marine Georesources and Geotechnology (2020) Vol. 40, Iss. 1, pp. 14-25
Closed Access | Times Cited: 30
Prediction of the Height of Water-Conducting Fissure Zone for Shallow-Buried Coal Seams Under Fully Mechanized Caving Conditions in Northern Shaanxi Province
Wei Chen, Shujia Geng, Xi Chen, et al.
Water (2025) Vol. 17, Iss. 3, pp. 312-312
Open Access
Research on the Structure-Property Relationship of Electric Strength of SF6 Alternative Gases
Dongwei Sun, Weipeng Lai, Yiding Ma, et al.
Lecture notes in electrical engineering (2025), pp. 403-415
Closed Access
A novel collaborative study of abnormal roof water inrush in coal seam mining based on strata separation and wing crack initiation
Zaiyong Wang, Qi Zhang, Wenquan Zhang
Engineering Failure Analysis (2022) Vol. 142, pp. 106762-106762
Closed Access | Times Cited: 15
Study of the development patterns of water-conducting fracture zones under karst aquifers and the mechanism of water inrush
Lulin Zheng, Xiaokun Wang, Lan Hong, et al.
Scientific Reports (2024) Vol. 14, Iss. 1
Open Access | Times Cited: 3
Comparative study of five machine learning algorithms on prediction of the height of the water-conducting fractured zone in undersea mining
Zhengyu Wu, Ying Chen, Dayou Luo
Scientific Reports (2024) Vol. 14, Iss. 1
Open Access | Times Cited: 3
A new monitoring method for overlying strata failure height in Neogene laterite caused by underground coal mining
Shiliang Liu, Song Dai, Wenping Li, et al.
Engineering Failure Analysis (2020) Vol. 117, pp. 104796-104796
Closed Access | Times Cited: 18
On strata damage and stress disturbance induced by coal mining based on physical similarity simulation experiments
Yi Yang, Yingchun Li, Lujun Wang, et al.
Scientific Reports (2023) Vol. 13, Iss. 1
Open Access | Times Cited: 6
Development process and height of the mining-induced water fractured zone over the longwall goaf
Kaifang Fan, Qiqing Wang, Wenping Li, et al.
Water Science & Technology Water Supply (2023) Vol. 23, Iss. 2, pp. 779-795
Open Access | Times Cited: 5
Prediction of the Height of Fractured Water-Conducting Zone Based on the Improved Cuckoo Search Algorithm–Extreme Learning Machine Model
Zhijie Zhu, Songsong Guan
Frontiers in Earth Science (2022) Vol. 10
Open Access | Times Cited: 8
Predicting Water Flowing Fracture Zone Height Using GRA and Optimized Neural Networks
Hao‐Wen Dong, Guobin Yang, Kai Guo, et al.
Processes (2024) Vol. 12, Iss. 11, pp. 2513-2513
Open Access | Times Cited: 1
Analysis of Factors Influencing Mining Damage Based on Engineering Detection and Machine Learning
Lintian Miao, Zhonghui Duan, Yucheng Xia, et al.
Sustainability (2022) Vol. 14, Iss. 15, pp. 9622-9622
Open Access | Times Cited: 6
Prediction of Concrete Compressive Strength Based on the BP Neural Network Optimized by Random Forest and ISSA
Gang Chen, Donglin Zhu, Xiao Wang, et al.
Journal of Function Spaces (2022) Vol. 2022, pp. 1-20
Open Access | Times Cited: 5
Investigation of the Evolution of Stratum Fracture during the Cavity Expansion of Underground Coal Gasification
Zhen Dong, Haiyang Yi, Yufeng Zhao, et al.
Energies (2022) Vol. 15, Iss. 19, pp. 7373-7373
Open Access | Times Cited: 5
Study on Height Prediction of Water Flowing Fractured Zone in Deep Mines Based on Weka Platform
Liyang Bai, Changlong Liao, Changxiang Wang, et al.
Sustainability (2022) Vol. 15, Iss. 1, pp. 737-737
Open Access | Times Cited: 3
Comparative study of five machine learning algorithms on prediction of the height of the water-conducting fractured zone in undersea mining
Zhengyu Wu, Dayou Luo
Research Square (Research Square) (2024)
Open Access
The study of the development patterns of water-conducting fracture zones under karst aquifers and the mechanism of water inrush
Lulin Zheng, Xiaokun Wang, Lan Hong, et al.
Research Square (Research Square) (2024)
Closed Access
Study on the evolution of fractures in overlying strata during repeated mining of coal seams at extremely close distances
Daming Yang, Yun Sun, Jiabo Xu, et al.
Frontiers in Earth Science (2024) Vol. 12
Open Access
Development Range Determination of Gas Conducting Fissure Zones for Lower Protective Seam Mining in JINJIA Coal Mine
Xun Zhao, Tao Feng, Shuqing Li, et al.
Geotechnical and Geological Engineering (2020) Vol. 39, Iss. 1, pp. 397-409
Closed Access | Times Cited: 2
Height of overlying strata failure zone under different hydrogeological units
Shiliang Liu, Song Dai, Haofang Wang, et al.
Environmental Earth Sciences (2022) Vol. 81, Iss. 8
Closed Access | Times Cited: 1
Generalized regression neural network-based prediction methods for overlying strata failure zone height
Shiliang Liu, Haodong Zhang, Baogang Wang, et al.
Arabian Journal of Geosciences (2021) Vol. 14, Iss. 23
Closed Access | Times Cited: 1
A Case Study on Development of Water-flow Fractured Zone During Close-Distance Repeated Coal Mining
Yuanzhong Luan, Yaofan Shi, Yu Shui, et al.
Research Square (Research Square) (2021)
Open Access
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