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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:

An Image-Based Hierarchical Deep Learning Framework for Coal and Gangue Detection
Dongjun Li, Zhenxin Zhang, Zhihua Xu, et al.
IEEE Access (2019) Vol. 7, pp. 184686-184699
Open Access | Times Cited: 52

Showing 26-50 of 52 citing articles:

Research on Coal and Gangue Recognition Based on the Improved YOLOv7-Tiny Target Detection Algorithm
Yiping Sui, Lei Zhang, Zhipeng Sun, et al.
Sensors (2024) Vol. 24, Iss. 2, pp. 456-456
Open Access | Times Cited: 2
Design and application of coal gangue sorting system based on deep learning
Kun Zhang, Zhen Wang, Zengbao Zhang, et al.
Scientific Reports (2024) Vol. 14, Iss. 1
Open Access | Times Cited: 2
Rapid ash content determination method for coal particles through images captured under multiple ring light sources with various incident angles
Feiyan Bai, Minqiang Fan, Hongli Yang, et al.
Fuel (2021) Vol. 296, pp. 120528-120528
Closed Access | Times Cited: 15
Application of Deep Learning in Petrographic Coal Images Segmentation
Sebastian Iwaszenko, Leokadia Róg
Minerals (2021) Vol. 11, Iss. 11, pp. 1265-1265
Open Access | Times Cited: 15
HCRB-MSAN: Horizontally Connected Residual Blocks-Based Multiscale Attention Network for Semantic Segmentation of Buildings in HSR Remote Sensing Images
Zhen Li, Zhenxin Zhang, Dong Chen, et al.
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing (2022) Vol. 15, pp. 5534-5544
Open Access | Times Cited: 11
Improved YOLOv7 Network Model for Gangue Selection Robot for Gangue and Foreign Matter Detection in Coal
Dengjie Yang, Changyun Miao, Xianguo Li, et al.
Sensors (2023) Vol. 23, Iss. 11, pp. 5140-5140
Open Access | Times Cited: 6
Research on Coal and Gangue Recognition Model Based on CAM-Hardswish with EfficientNetV2
Na Li, Jiameng Xue, Sibo Wu, et al.
Applied Sciences (2023) Vol. 13, Iss. 15, pp. 8887-8887
Open Access | Times Cited: 6
Coal Gangue Recognition during Coal Preparation Using an Adaptive Boosting Algorithm
Guanghui Xue, Peng Hou, Sanxi Li, et al.
Minerals (2023) Vol. 13, Iss. 3, pp. 329-329
Open Access | Times Cited: 5
Coal and gangue identification method based on the intensity image of lidar and DenseNet
Jichuan Xing, Zimo Zhao, Yaozhi Wang, et al.
Applied Optics (2021) Vol. 60, Iss. 22, pp. 6566-6566
Closed Access | Times Cited: 12
Autonomous Multiple Tramp Materials Detection in Raw Coal Using Single-Shot Feature Fusion Detector
Dongjun Li, Guoying Meng, Zhiyuan Sun, et al.
Applied Sciences (2021) Vol. 12, Iss. 1, pp. 107-107
Open Access | Times Cited: 12
Impact-slip experiments and systematic study of coal gangue “category” recognition technology part II: Improving effect of the proposed parallel voting system method on coal gangue “category” recognition accuracy based on impact-slip experiments
Yang Yang, Qingliang Zeng
Powder Technology (2021) Vol. 395, pp. 893-904
Closed Access | Times Cited: 11
A fast recognition method for coal gangue image processing
Dailiang Wei, Juanli Li, Bo Li, et al.
Multimedia Systems (2023) Vol. 29, Iss. 4, pp. 2323-2335
Closed Access | Times Cited: 4
A novel deep learning model for predicting marine pollution for sustainable ocean management
Michael Onyema Edeh, Surjeet Dalal, Musaed Alhussein, et al.
PeerJ Computer Science (2024) Vol. 10, pp. e2482-e2482
Open Access | Times Cited: 1
Construction of intelligent visual coal and gangue separation system based on CoppeliaSim
Zhiyuan Sun, Dongjun Li, Linlin Huang, et al.
2021 6th International Conference on Automation, Control and Robotics Engineering (CACRE) (2020), pp. 560-564
Closed Access | Times Cited: 9
A Deep Learning Approach to Intrusion Detection and Segmentation in Pellet Fuels Using Microscopic Images
Sebastian Iwaszenko, Marta Szymańska, Leokadia Róg
Sensors (2023) Vol. 23, Iss. 14, pp. 6488-6488
Open Access | Times Cited: 3
A Visible Light 3D Positioning System for Underground Mines Based on Convolutional Neural Network Combining Inception Module and Attention Mechanism
Bo Deng, Fengying Wang, Ling Qin, et al.
Photonics (2023) Vol. 10, Iss. 8, pp. 918-918
Open Access | Times Cited: 3
Hazard source detection of longitudinal tearing of conveyor belt based on deep learning
Yimin Wang, Changyun Miao, Di Miao, et al.
PLoS ONE (2023) Vol. 18, Iss. 4, pp. e0283878-e0283878
Open Access | Times Cited: 2
Identification of Coal Gangue in Coal using YOLO V7
D. Pavithra, P Poovizhi, Nikil Vignesh R, et al.
2022 6th International Conference on Trends in Electronics and Informatics (ICOEI) (2023)
Closed Access | Times Cited: 1
Online Coal Identification Based on One-Dimensional Convolution and Its Industrial Applications
S. Ma, Kaixun He, Xin Peng
Applied Sciences (2023) Vol. 13, Iss. 17, pp. 9867-9867
Open Access | Times Cited: 1
Review: Identifikasi Batubara dan Gangue Menggunakan Machine Learning dan Deep Learning
Abdul Rahman Bohari, Miwan Kurniawan Hidayat, Diah Andianingsari
IMTechno Journal of Industrial Management and Technology (2024) Vol. 5, Iss. 1
Open Access
基于激光雷达的双通道伪彩图像煤矸识别方法
王言 Wang Yan, 邢冀川 Xing Jichuan, 王遥志 Wang Yaozhi
Laser & Optoelectronics Progress (2024) Vol. 61, Iss. 4, pp. 0437005-0437005
Open Access
The application and challenges of spectral and image two-modal fusion techniques in coal gangue recognition
Xiaoyu Li, Rui Xia, Juanli Li, et al.
International Journal of Coal Preparation and Utilization (2024), pp. 1-31
Closed Access
Coal and Gangue Detection Networks with Compact and High-Performance Design
Xiangyu Cao, Huajie Liu, Yang Liu, et al.
Sensors (2024) Vol. 24, Iss. 22, pp. 7318-7318
Open Access
Utilization of artificial intelligence and machine learning in the coal mining industry
Archana S. Pimpalkar, Ashwini C. Gote
AIP conference proceedings (2024) Vol. 3188, pp. 040002-040002
Closed Access
Weight Estimation Method of Coal and Gangue on Conveyor Belt Based on Instance Segmentation
Dongjun Li, Guoying Meng, Zhiyuan Sun, et al.
2021 3rd International Conference on Artificial Intelligence and Advanced Manufacture (AIAM) (2021) Vol. 25, pp. 432-435
Closed Access | Times Cited: 3

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