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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:

Cascade network for detection of coal and gangue in the production context
Ziqi Lv, Weidong Wang, Zhiqiang Xu, et al.
Powder Technology (2020) Vol. 377, pp. 361-371
Closed Access | Times Cited: 58

Showing 1-25 of 58 citing articles:

Computer vision detection of foreign objects in coal processing using attention CNN
Kanghui Zhang, Weidong Wang, Ziqi Lv, et al.
Engineering Applications of Artificial Intelligence (2021) Vol. 102, pp. 104242-104242
Closed Access | Times Cited: 79
The study of coal gangue segmentation for location and shape predicts based on multispectral and improved Mask R-CNN
Wenhao Lai, Feng Hu, Xixi Kong, et al.
Powder Technology (2022) Vol. 407, pp. 117655-117655
Closed Access | Times Cited: 40
Detection of Coal and Gangue Based on Improved YOLOv8
Qingliang Zeng, Guangyu Zhou, Lirong Wan, et al.
Sensors (2024) Vol. 24, Iss. 4, pp. 1246-1246
Open Access | Times Cited: 16
A high-confidence instance boundary regression approach and its application in coal-gangue separation
Ziqi Lv, Weidong Wang, Kanghui Zhang, et al.
Engineering Applications of Artificial Intelligence (2024) Vol. 132, pp. 107894-107894
Closed Access | Times Cited: 12
Foreign object detection on vibrating screens: A precision-oriented rotational detection framework with attention mechanisms
Weidong Wang, Xuan Zhao, Yang Song, et al.
Measurement (2025), pp. 117115-117115
Closed Access | Times Cited: 1
Fine-grained object detection method using attention mechanism and its application in coal–gangue detection
Ziqi Lv, Weidong Wang, Zhiqiang Xu, et al.
Applied Soft Computing (2021) Vol. 113, pp. 107891-107891
Closed Access | Times Cited: 43
Rapid detection of incomplete coal and gangue based on improved PSPNet
Xi Wang, Yongcun Guo, Shuang Wang, et al.
Measurement (2022) Vol. 201, pp. 111646-111646
Closed Access | Times Cited: 37
Intelligent photoelectric identification of coal and gangue − A review
Jianqiang Yin, Jinbo Zhu, Hongzheng Zhu, et al.
Measurement (2024) Vol. 233, pp. 114723-114723
Closed Access | Times Cited: 8
Dielectric and geometric feature extraction and recognition method of coal and gangue based on VMD-SVM
Xinquan Wang, Shuang Wang, Yongcun Guo, et al.
Powder Technology (2021) Vol. 392, pp. 241-250
Closed Access | Times Cited: 36
Coal and Gangue Separating Robot System Based on Computer Vision
Zhiyuan Sun, Linlin Huang, Ruiqing Jia
Sensors (2021) Vol. 21, Iss. 4, pp. 1349-1349
Open Access | Times Cited: 35
A synchronous detection-segmentation method for oversized gangue on a coal preparation plant based on multi-task learning
Ziqi Lv, Weidong Wang, Kanghui Zhang, et al.
Minerals Engineering (2022) Vol. 187, pp. 107806-107806
Closed Access | Times Cited: 26
Investigating comparisons on the coal and gangue in various scenarios using multidimensional image features
Ziqi Lv, Yao Cui, Kanghui Zhang, et al.
Minerals Engineering (2023) Vol. 204, pp. 108450-108450
Closed Access | Times Cited: 14
STATNet: One-stage coal-gangue detector based on deep learning algorithm for real industrial application
Kefei Zhang, Teng Wang, Xiaolin Yang, et al.
Energy and AI (2024) Vol. 17, pp. 100388-100388
Open Access | Times Cited: 5
Fast recognition using convolutional neural network for the coal particle density range based on images captured under multiple light sources
Feiyan Bai, Minqiang Fan, Hongli Yang, et al.
International Journal of Mining Science and Technology (2021) Vol. 31, Iss. 6, pp. 1053-1061
Open Access | Times Cited: 30
Data-driven model SSD-BSP for multi-target coal-gangue detection
Luyao Wang, Xuewen Wang, Bo Li
Measurement (2023) Vol. 219, pp. 113244-113244
Closed Access | Times Cited: 13
A Swin transformer-functionalized lightweight YOLOv5s for real-time coal–gangue detection
Xiao Wen, Bo Li, Xuewen Wang, et al.
Journal of Real-Time Image Processing (2023) Vol. 20, Iss. 3
Closed Access | Times Cited: 11
Experimental study on separation of lumpish coal and gangue using X-ray
Yong Zhang, Hongzheng Zhu, Jinbo Zhu, et al.
Energy Sources Part A Recovery Utilization and Environmental Effects (2021), pp. 1-13
Closed Access | Times Cited: 25
Impact-slip experiments and systematic study of coal gangue “category” recognition technology Part I: Impact-slip experiments between coal gangue mixture and top coal caving hydraulic support and the study of coal gangue “category” recognition technology
Yang Yang, Qingliang Zeng
Powder Technology (2021) Vol. 392, pp. 224-240
Closed Access | Times Cited: 24
Cascaded foreign object detection in manufacturing processes using convolutional neural networks and synthetic data generation methodology
Jixiang Tang, Huan Zhou, Tiankui Wang, et al.
Journal of Intelligent Manufacturing (2022) Vol. 34, Iss. 7, pp. 2925-2941
Closed Access | Times Cited: 19
Exploration of Teaching Methods for “Intelligent Beneficiation” Course under the New Engineering Education Framework
子奇 吕
Creative Education Studies (2025) Vol. 13, Iss. 02, pp. 161-168
Closed Access
Intelligent coal gangue identification: A novel amplitude frequency sensitive neural network
Zipeng Zhang, Zhencai Zhu, Bin Meng, et al.
Expert Systems with Applications (2025), pp. 126880-126880
Closed Access
A large-scale open image dataset for deep learning-enabled intelligent sorting and analyzing of raw coal
Ziqi Lv, Yuhan Fan, Te Sha, et al.
Scientific Data (2025) Vol. 12, Iss. 1
Open Access
A Novel Deep Learning Model Based on YOLOv5 Optimal Method for Coal Gangue Image Recognition
Tongkai Gu, Haiyan Zhao, Yasheng Chang, et al.
Research Square (Research Square) (2025)
Closed Access
Structural Distortion and Optoelectronic Signatures in Metal-Substituted Kaolinite: A First-Principles Investigation
Qiuyu Zeng, Jun Xie, Jinbo Zhu, et al.
Minerals (2025) Vol. 15, Iss. 5, pp. 541-541
Open Access
A CNN-based regression framework for estimating coal ash content on microscopic images
Kanghui Zhang, Weidong Wang, Ziqi Lv, et al.
Measurement (2021) Vol. 189, pp. 110589-110589
Closed Access | Times Cited: 23
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