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:

Enhancing coal-gangue object detection using GAN-based data augmentation strategy with dual attention mechanism
Kefei Zhang, Xiaolin Yang, Liang Xu, et al.
Energy (2023) Vol. 287, pp. 129654-129654
Closed Access | Times Cited: 14

Showing 14 citing articles:

A lightweight coal-gangue detection model based on parallel deep residual networks
She-Xiang Jiang, Xinrui Zhou
PeerJ Computer Science (2025) Vol. 11, pp. e2677-e2677
Open 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

FSS-YOLO: The Lightweight Drill Pipe Detection Method Based on YOLOv8n-obb
Mingyang Zhao, Xiaojun Li, Miao Li, et al.
Research Square (Research Square) (2025)
Closed Access

Intelligent Prediction of Rate of Penetration through Meta-Learning and Data Augmentation Synergy under Limited Sample
Zhengchao Ma, Jintao Weng, Junkai Zhang, et al.
Geoenergy Science and Engineering (2025), pp. 213818-213818
Closed Access

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: 4

Wind speed effect on infrared-image-based coal and gangue recognition with liquid intervention in LTCC
Jinwang Zhang, Yu Zhang, Geng He, et al.
Journal of Cleaner Production (2024) Vol. 478, pp. 143925-143925
Closed Access | Times Cited: 1

SNW YOLOv8: improving the YOLOv8 network for real-time monitoring of lump coal
Ligang Wu, Le Chen, Jialong Li, et al.
Measurement Science and Technology (2024) Vol. 35, Iss. 10, pp. 105406-105406
Closed Access

CG-SOLOv2: Enhanced instance segmentation for coal-gangue with novel feature extraction and fusion modules
Kefei Zhang, Teng Wang, Liang Xu, et al.
Powder Technology (2024), pp. 120558-120558
Closed Access

Multi-scale multi-task neural network combined with transfer learning for accurate determination of the ash content of industrial coal flotation concentrate
Xiaolin Yang, Kefei Zhang, Teng Wang, et al.
Minerals Engineering (2024) Vol. 220, pp. 109093-109093
Closed Access

Recognition of coal and gangue based on motion blur image using calibration matching method in LTCC
Jinwang Zhang, Xiaohang Wan, Geng He, et al.
Research Square (Research Square) (2024)
Open Access

Accurate foreign object detection for the coal preparation industry based on computer vision and deep learning algorithms
Kefei Zhang, Teng Wang, Liang Xu, et al.
International Journal of Coal Preparation and Utilization (2024), pp. 1-26
Closed Access

Detection of Lump Coal based on Lightweight Network and Attention Mechanism
Ligang Wu, Yuanyuan Lv, Le Chen, et al.
2021 China Automation Congress (CAC) (2023), pp. 5489-5494
Closed Access

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