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:
Research on Railway Track Extraction Method Based on Edge Detection and Attention Mechanism
Yanbin Weng, Xiaobin Huang, Xiahu Chen, et al.
IEEE Access (2024) Vol. 12, pp. 26550-26561
Open Access | Times Cited: 7
Yanbin Weng, Xiaobin Huang, Xiahu Chen, et al.
IEEE Access (2024) Vol. 12, pp. 26550-26561
Open Access | Times Cited: 7
Showing 7 citing articles:
F2RAIL: panoptic segmentation integrating Fpn and transFormer towards RAILway
Bai Dingyuan, Baoqing Guo, Tao Ruan, et al.
Applied Intelligence (2025) Vol. 55, Iss. 4
Closed Access
Bai Dingyuan, Baoqing Guo, Tao Ruan, et al.
Applied Intelligence (2025) Vol. 55, Iss. 4
Closed Access
An improved DeepLabv3 + railway track extraction algorithm based on densely connected and attention mechanisms
Yanbin Weng, Jie Yang, Changfan Zhang, et al.
Scientific Reports (2025) Vol. 15, Iss. 1
Open Access
Yanbin Weng, Jie Yang, Changfan Zhang, et al.
Scientific Reports (2025) Vol. 15, Iss. 1
Open Access
An Efficient Algorithm for Extracting Railway Tracks Based on Spatial-Channel Graph Convolutional Network and Deep Neural Residual Network
Yanbin Weng, Meng Xu, Xiahu Chen, et al.
ISPRS International Journal of Geo-Information (2024) Vol. 13, Iss. 9, pp. 309-309
Open Access | Times Cited: 2
Yanbin Weng, Meng Xu, Xiahu Chen, et al.
ISPRS International Journal of Geo-Information (2024) Vol. 13, Iss. 9, pp. 309-309
Open Access | Times Cited: 2
A Review of Deep Learning-Based Methods for Road Extraction from High-Resolution Remote Sensing Images
Ruyi Liu, Junhong Wu, Wenyi Lu, et al.
Remote Sensing (2024) Vol. 16, Iss. 12, pp. 2056-2056
Open Access | Times Cited: 1
Ruyi Liu, Junhong Wu, Wenyi Lu, et al.
Remote Sensing (2024) Vol. 16, Iss. 12, pp. 2056-2056
Open Access | Times Cited: 1
Research on the Method of Foreign Object Detection for Railway Tracks Based on Deep Learning
Shanping Ning, Feng Ding, Bangbang Chen
Sensors (2024) Vol. 24, Iss. 14, pp. 4483-4483
Open Access | Times Cited: 1
Shanping Ning, Feng Ding, Bangbang Chen
Sensors (2024) Vol. 24, Iss. 14, pp. 4483-4483
Open Access | Times Cited: 1
Railway Tracks Extraction from High Resolution Unmanned Aerial Vehicle Images Using Improved NL-LinkNet Network
Jing Wang, Xiwei Fan, Yunlong Zhang, et al.
Drones (2024) Vol. 8, Iss. 11, pp. 611-611
Open Access
Jing Wang, Xiwei Fan, Yunlong Zhang, et al.
Drones (2024) Vol. 8, Iss. 11, pp. 611-611
Open Access
MFD-UNet: a complex railway track boundary segmentation algorithm for drone vision based on multi-scale fusion and deformable pyramid blocks
Yanbin Weng, Huimin Xiang, Xiahu Chen, et al.
Measurement Science and Technology (2024) Vol. 36, Iss. 1, pp. 016198-016198
Closed Access
Yanbin Weng, Huimin Xiang, Xiahu Chen, et al.
Measurement Science and Technology (2024) Vol. 36, Iss. 1, pp. 016198-016198
Closed Access
