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:

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

Showing 16 citing articles:

Improved YOLOv8 Model for Lightweight Pigeon Egg Detection
Tao Jiang, Jie Zhou, Binbin Xie, et al.
Animals (2024) Vol. 14, Iss. 8, pp. 1226-1226
Open Access | Times Cited: 9

Lightweight coal and gangue detection algorithm based on LTC-Yolov8n
Ruizhe Liu, Chuanhua Wei
International Journal of Coal Preparation and Utilization (2025), pp. 1-19
Closed Access

Visual Detection of Traffic Incident through Automatic Monitoring of Vehicle Activities
Abdul Karim, Muhammad Amir Raza, Yahya Z. Alharthi, et al.
World Electric Vehicle Journal (2024) Vol. 15, Iss. 9, pp. 382-382
Open Access | Times Cited: 4

An improved cross algorithm edge detection method and its application in coal gangue identification
Xinquan Wang, Panpan Zhao, S. J. Yue, et al.
International Journal of Coal Preparation and Utilization (2025), pp. 1-13
Closed Access

Optimization Study of Coal Gangue Detection in Intelligent Coal Selection Systems Based on the Improved Yolov8n Model
Guisheng Zong, Yurong Yue, W. Shan
Electronics (2024) Vol. 13, Iss. 21, pp. 4155-4155
Open Access | Times Cited: 2

A lightweight feature extraction backbone for gangue detection with improved Resnet50
Zengsong Li, Jingui Lu, Zeyi Liu
International Journal of Coal Preparation and Utilization (2024), pp. 1-18
Closed Access | Times Cited: 1

Detection of coal gangue based on MSRCR algorithm and improved lightweight YOLOv8n
Yan Hong, Ruixian Pan, Jingming Su, et al.
International Journal of Coal Preparation and Utilization (2024), pp. 1-21
Closed Access | Times Cited: 1

Multimodal Driver Condition Monitoring System Operating in the Far-Infrared Spectrum
Mateusz Knapik, Bogusław Cyganek, Tomasz Balon
Electronics (2024) Vol. 13, Iss. 17, pp. 3502-3502
Open Access | Times Cited: 1

RRBM-YOLO: Research on Efficient and Lightweight Convolutional Neural Networks for Underground Coal Gangue Identification
Yutong Wang, Ziming Kou, Cong Han, et al.
Sensors (2024) Vol. 24, Iss. 21, pp. 6943-6943
Open Access | Times Cited: 1

Identification of water-cooled wall ash accumulation based on AWGAM-YOLOv8n
Yuekai Hao, Bin Wang, Yuekai Hao, et al.
Scientific Reports (2024) Vol. 14, Iss. 1
Open Access

A Comparative Study of Deep Learning Frameworks Applied to Coffee Plant Detection from Close-Range UAS-RGB Imagery in Costa Rica
Sergio Arriola-Valverde, Renato Rimolo‐Donadio, Karolina Villagra-Mendoza, et al.
Remote Sensing (2024) Vol. 16, Iss. 24, pp. 4617-4617
Open Access

3D location of gangue by point cloud segmentation with RG-TCF
Zengsong Li, Jingui Lu, Yue Wang
International Journal of Coal Preparation and Utilization (2024), pp. 1-24
Closed Access

DgrCLR: Dual Gradient Reinforcement Contrastive Learning for Coal Gangue Classification
LI Hong-xi, Wenbo Zhu, Zhen Zhu, et al.
(2023), pp. 1025-1030
Closed Access

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