Open Access Helper

OpenAlex Citation Counts

OpenAlex Citations Logo

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:

Data-driven model SSD-BSP for multi-target coal-gangue detection
Luyao Wang, Xuewen Wang, Bo Li
Measurement (2023) Vol. 219, pp. 113244-113244
Closed Access | Times Cited: 13

Showing 13 citing articles:

ISTD-DETR: A deep learning algorithm based on DETR and Super-resolution for infrared small target detection
Huanyu Yang, Jun Wang, Yuming Bo, et al.
Neurocomputing (2025), pp. 129289-129289
Closed Access
Research on Image Segmentation and Defogging Technique of Coal Gangue Under the Influence of Dust Gradient
Zhenghan Qin, Judong Jing, Libao Li, et al.
Applied Sciences (2025) Vol. 15, Iss. 4, pp. 1947-1947
Open 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
Research on coal gangue size calibration based on perspective correction-parameter calibration synergy
Shidong Chen, Yang Yang
Measurement (2024) Vol. 235, pp. 114942-114942
Closed Access | Times Cited: 1
Visual information perception system of coal mine comprehensive excavation working face for edge computing terminal
Dongyang Zhao, Guoyong Su, Pengyu Wang
IET Image Processing (2024) Vol. 18, Iss. 12, pp. 3681-3698
Open Access | Times Cited: 1
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
A lightweight real-time detection method of small objects for home service robots
Tie Zhang, Fangyi Zhao, Yanbiao Zou, et al.
Machine Vision and Applications (2024) Vol. 35, Iss. 6
Closed 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
Eco-Friendly Coal Gangue and/or Metakaolin-Based Lightweight Geopolymer with the Addition of Waste Glass
Celina Ziejewska, Agnieszka Bąk, Krzysztof Hodor, et al.
Materials (2023) Vol. 16, Iss. 17, pp. 6054-6054
Open Access | Times Cited: 4
A fast-training GAN for coal–gangue image augmentation based on a few samples
Luyao Wang, Xuewen Wang, Bo Li, et al.
The Visual Computer (2023) Vol. 40, Iss. 9, pp. 6671-6687
Closed Access | Times Cited: 2
Improved Deep Learning Model for Workpieces of Rectangular Pipeline Surface Defect Detection
Changxing Chen, Afizan Azman
Computers (2024) Vol. 13, Iss. 1, pp. 30-30
Open Access
Research on light weight intelligent identification method of coal and gangue
Deyong Li, Guofa Wang, Yongcun Guo, et al.
Physicochemical Problems of Mineral Processing (2024)
Open Access
An Irregular Pupil Localization Network Driven by ResNet Architecture
G.Q. Yang, Wenbai Chen, Peiliang Wu, et al.
Mathematics (2024) Vol. 12, Iss. 17, pp. 2703-2703
Open Access
Page 1

Scroll to top