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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:

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

Showing 1-25 of 40 citing articles:

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
Optimization-driven artificial intelligence-enhanced municipal waste classification system for disaster waste management
Rapeepan Pitakaso, Thanatkij Srichok, Surajet Khonjun, et al.
Engineering Applications of Artificial Intelligence (2024) Vol. 133, pp. 108614-108614
Open Access | Times Cited: 11
Research and prospect of underground intelligent coal gangue sorting technology: A review
Guozhen Zhao, Fengyi Chang, Jiaxin Chen, et al.
Minerals Engineering (2024) Vol. 215, pp. 108818-108818
Closed Access | Times Cited: 10
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
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
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
Dual-energy X-ray transmission identification method for coal and gangue with different thicknesses and densities
Deyong Li, Lei He, Yongcun Guo, et al.
Measurement (2024) Vol. 225, pp. 113718-113718
Closed Access | Times Cited: 5
Coal and gangue classification in actual environment of mines based on deep learning
Hengxuan Luan, Hao Xu, Wei Tang, et al.
Measurement (2023) Vol. 211, pp. 112651-112651
Closed Access | Times Cited: 13
Research on coal gangue recognition method based on XBS-YOLOv5s
Yuhao Yang, Deyong Li, Yongcun Guo, et al.
Measurement Science and Technology (2023) Vol. 35, Iss. 1, pp. 015404-015404
Closed Access | Times Cited: 12
Deep Learning For Detection of Foliar Diseases in Soybeans Based on the Mask R-CNN Model
Ualace Vieira Gonçalves da Cruz, Tiago do Carmo Nogueira, Gelson da Cruz, et al.
Revista de Gestão Social e Ambiental (2025) Vol. 19, Iss. 1, pp. e011121-e011121
Closed Access
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
LiDAR-Camera joint obstacle detection algorithm for railway track area
Zongliang Nan, Wenlong Liu, Guoan Zhu, et al.
Expert Systems with Applications (2025) Vol. 275, pp. 127089-127089
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
Artificial intelligence for computational granular media
Tongming Qu, Jidong Zhao, Y.T. Feng
Computers and Geotechnics (2025) Vol. 185, pp. 107310-107310
Closed Access
Image segmentation algorithm based on improved YOLOv8 model and its application in underground coal and gangue recognition
Lei Zhu, Wenzhe Gu, Chengyong Liu, et al.
PLoS ONE (2025) Vol. 20, Iss. 5, pp. e0321249-e0321249
Open Access
Drill pipe detection and counting based on improved YOLOv11 and Savitzky-Golay
Cheng Cheng, Xiaoyu Cheng, Debo Li, et al.
Scientific Reports (2025) Vol. 15, Iss. 1
Open Access
Improved mask R-CNN-based instance segmentation model for coal gangue
Ping Sun, Weimin Wu
International Journal of Coal Preparation and Utilization (2025), pp. 1-19
Closed Access
Research on coal and gangue segmentation based on MFCCM‐Mask R‐CNN
Zhenguan Cao, Zhuoqin Li, Liao Fang, et al.
Energy Science & Engineering (2024) Vol. 12, Iss. 7, pp. 2958-2973
Open Access | Times Cited: 3
Quantification of particle size and shape of sands based on the combination of GAN and CNN
Jian Gong, Ziyang Liu, Keyu Zhao, et al.
Powder Technology (2024) Vol. 447, pp. 120122-120122
Closed Access | Times Cited: 3
Research on accurate recognition and refuse rate calculation of coal and gangue based on thermal imaging of transporting situation
Pengfei Shan, Meng Zheng, Huicong Xu, et al.
Measurement (2024), pp. 116574-116574
Closed Access | Times Cited: 3
Study of bubble behavior in a gas–solid dense-phase fluidized bed based on deep learning
Yanhong Fu, Xin He, Song Wang, et al.
Fuel (2023) Vol. 357, pp. 129889-129889
Closed Access | Times Cited: 8
Distribution of field intensity and separation behavior of charged particles in the cascade electrostatic field
Lingtao Zhu, Jingfeng He, Hao Chen, et al.
Powder Technology (2023) Vol. 431, pp. 119068-119068
Closed Access | Times Cited: 6
A deep learning system for collotelinite segmentation and coal reflectance determination
Richard Bryan Magalhães Santos, Karen Soares Augusto, Julio César Álvarez Iglesias, et al.
International Journal of Coal Geology (2022) Vol. 263, pp. 104111-104111
Closed Access | Times Cited: 9
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