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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:

Automatic Coal and Gangue Segmentation Using U-Net Based Fully Convolutional Networks
Rong Gao, Zhaoyun Sun, Wei Li, et al.
Energies (2020) Vol. 13, Iss. 4, pp. 829-829
Open Access | Times Cited: 51

Showing 1-25 of 51 citing articles:

Ore image classification based on small deep learning model: Evaluation and optimization of model depth, model structure and data size
Yang Liu, Zelin Zhang, Xiang Liu, et al.
Minerals Engineering (2021) Vol. 172, pp. 107020-107020
Closed Access | Times Cited: 87
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
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
Deep learning in image segmentation for mineral production: A review
Yang Liu, Xueyi Wang, Zelin Zhang, et al.
Computers & Geosciences (2023) Vol. 180, pp. 105455-105455
Closed Access | Times Cited: 17
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
A detection method for densely distributed coal and gangue with uneven particle based on DeepLabV3+
X. Wang, Yongcun Guo, Kun Hu, et al.
Measurement (2024) Vol. 235, pp. 114756-114756
Closed Access | Times Cited: 8
Proactive measures to prevent conveyor belt Failures: Deep Learning-based faster foreign object detection
Mengchao Zhang, Yueshuai Cao, Kai Jiang, et al.
Engineering Failure Analysis (2022) Vol. 141, pp. 106653-106653
Closed Access | Times Cited: 25
Coal gangue image segmentation method based on edge detection theory of star algorithm
Xinquan Wang, Shuang Wang, Yongcun Guo, et al.
International Journal of Coal Preparation and Utilization (2022) Vol. 43, Iss. 1, pp. 119-134
Closed Access | Times Cited: 24
Multi-scale coal and gangue detection in dense state based on improved Mask RCNN
Xi Wang, Shuang Wang, Yongcun Guo, et al.
Measurement (2023) Vol. 221, pp. 113467-113467
Closed Access | Times Cited: 15
Identification Method of Coal and Coal Gangue Based on Dielectric Characteristics
Yongcun Guo, Xinquan Wang, Shuang Wang, et al.
IEEE Access (2021) Vol. 9, pp. 9845-9854
Open Access | Times Cited: 31
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
Online particle size analysis on conveyor belts with dense convolutional neural networks
Yihao Fu, Chris Aldrich
Minerals Engineering (2023) Vol. 193, pp. 108019-108019
Open Access | Times Cited: 12
Coal Gangue Target Detection Based on Improved YOLOv5s
Shuxiao Wang, Jiandong Zhu, Zuotao Li, et al.
Applied Sciences (2023) Vol. 13, Iss. 20, pp. 11220-11220
Open Access | Times Cited: 12
LPT-Net: A Line-Pad Transformer Network for efficiency coal gangue segmentation with linear multi-head self-attention mechanism
Tao Ye, Hao Chen, Ren Hong-bin, et al.
Measurement (2024) Vol. 226, pp. 114043-114043
Closed Access | Times Cited: 4
Coal Gangue Classification Based on the Feature Extraction of the Volume Visual Perception ExM-SVM
Murad Saleh Alfarzaeai, Eryi Hu, Peng Wang, et al.
Energies (2023) Vol. 16, Iss. 4, pp. 2064-2064
Open Access | Times Cited: 10
Fast prediction of mine flow field based on convolution neural network
Qichao Zhou, Jian Liu, Li Liu
Process Safety and Environmental Protection (2023) Vol. 173, pp. 332-343
Closed Access | Times Cited: 10
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
Coarse‐Grained Ore Distribution on Conveyor Belts With TRCU Neural Networks
Weinong Liang, Xiaolu Sun, Yutao Li, et al.
IET Image Processing (2025) Vol. 19, Iss. 1
Open Access
Simulation-based experimental analysis of microwave propagation characteristics in various coal-gangue mixtures
Jiahao Li, Lei Si, Miao Chen, et al.
SIMULATION (2025)
Closed Access
Review of deep learning approaches in solving rock fragmentation problems
Mikhail Ronkin, Elena N. Akimova, Vladimir E. Misilov
AIMS Mathematics (2023) Vol. 8, Iss. 10, pp. 23900-23940
Open Access | Times Cited: 9
RDT-FragNet: A DCN-Transformer network for intelligent rock fragment recognition and particle size distribution acquisition
Mingze Li, Ming Chen, Wenbo Lu, et al.
Computers and Geotechnics (2024) Vol. 177, pp. 106809-106809
Closed Access | Times Cited: 3
A Coal Gangue Identification Method Based on HOG Combined with LBP Features and Improved Support Vector Machine
Gang Cheng, Jie Chen, Yifan Wei, et al.
Symmetry (2023) Vol. 15, Iss. 1, pp. 202-202
Open Access | Times Cited: 8
A review of deep leaning in image classification for mineral exploration
Yang Liu, Xueyi Wang, Zelin Zhang, et al.
Minerals Engineering (2023) Vol. 204, pp. 108433-108433
Closed Access | Times Cited: 8
Gradient- enhanced waterpixels clustering for coal gangue image segmentation
Chengcai Fu, Fengli Lu, Guoying Zhang
International Journal of Coal Preparation and Utilization (2022) Vol. 43, Iss. 4, pp. 677-690
Closed Access | Times Cited: 12
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