Chaojun Shi

415 total citations
26 papers, 230 citations indexed

About

Chaojun Shi is a scholar working on Media Technology, Computer Vision and Pattern Recognition and Artificial Intelligence. According to data from OpenAlex, Chaojun Shi has authored 26 papers receiving a total of 230 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Media Technology, 9 papers in Computer Vision and Pattern Recognition and 7 papers in Artificial Intelligence. Recurrent topics in Chaojun Shi's work include Solar Radiation and Photovoltaics (7 papers), Advanced Image Fusion Techniques (6 papers) and Advanced Neural Network Applications (6 papers). Chaojun Shi is often cited by papers focused on Solar Radiation and Photovoltaics (7 papers), Advanced Image Fusion Techniques (6 papers) and Advanced Neural Network Applications (6 papers). Chaojun Shi collaborates with scholars based in China, United States and Canada. Chaojun Shi's co-authors include Yatong Zhou, Ke Zhang, Yatong Zhou, Hanming Chen, Zhenbing Zhao, Jianyong Xie, Yangkang Chen, Y. J. Xiao, Jiacun Wang and Xiwang Guo and has published in prestigious journals such as Applied Energy, IEEE Transactions on Geoscience and Remote Sensing and Energy Conversion and Management.

In The Last Decade

Chaojun Shi

22 papers receiving 219 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Chaojun Shi China 8 74 68 65 34 33 26 230
Lhoussaine Masmoudi Morocco 11 51 0.7× 128 1.9× 56 0.9× 5 0.1× 25 0.8× 62 370
Hao Chang China 8 119 1.6× 130 1.9× 67 1.0× 7 0.2× 21 0.6× 16 295
Guowu Yuan China 9 51 0.7× 127 1.9× 33 0.5× 3 0.1× 31 0.9× 58 268
Kyle Gao Canada 10 45 0.6× 137 2.0× 20 0.3× 3 0.1× 11 0.3× 31 348
Ronghao Yang China 10 48 0.6× 64 0.9× 27 0.4× 3 0.1× 18 0.5× 39 263
Luc Courtrai France 6 104 1.4× 155 2.3× 19 0.3× 4 0.1× 6 0.2× 17 275
Shipeng Li China 9 11 0.1× 51 0.8× 12 0.2× 11 0.3× 39 1.2× 45 315
Shenlu Jiang China 10 64 0.9× 168 2.5× 45 0.7× 3 0.1× 6 0.2× 24 322
Xueyong Xu China 10 25 0.3× 46 0.7× 18 0.3× 7 0.2× 6 0.2× 43 272

Countries citing papers authored by Chaojun Shi

Since Specialization
Citations

This map shows the geographic impact of Chaojun Shi's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Chaojun Shi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Chaojun Shi more than expected).

Fields of papers citing papers by Chaojun Shi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Chaojun Shi. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Chaojun Shi. The network helps show where Chaojun Shi may publish in the future.

Co-authorship network of co-authors of Chaojun Shi

This figure shows the co-authorship network connecting the top 25 collaborators of Chaojun Shi. A scholar is included among the top collaborators of Chaojun Shi based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Chaojun Shi. Chaojun Shi is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Gao, Xin, et al.. (2025). CGCNet: Road Extraction From Remote Sensing Image With Compact Global Context-Aware. IEEE Transactions on Geoscience and Remote Sensing. 63. 1–12. 2 indexed citations
2.
Shi, Chaojun, et al.. (2025). Ultra-short-term photovoltaic power prediction based on ground-based cloud images: A review. Applied Energy. 402. 126943–126943.
3.
Shi, Chaojun, et al.. (2025). A ground-based cloud image classification method for photovoltaic power prediction based on Convolutional Neural Networks and Vision Transformer. Engineering Applications of Artificial Intelligence. 159. 111582–111582. 1 indexed citations
4.
5.
Sun, Xin, Ying Lin, Yi Yang, et al.. (2025). Substation Equipment Defect Detection Based on Improved YOLOv8. Sensors. 25(11). 3410–3410. 1 indexed citations
6.
Zhang, Ke, et al.. (2025). YOLOv9-GDV: A Power Pylon Detection Model for Remote Sensing Images. Remote Sensing. 17(13). 2229–2229.
7.
Zhang, Ke, et al.. (2024). Transmission Line Component Defect Detection Based on UAV Patrol Images: A Self-Supervised HC-ViT Method. IEEE Transactions on Systems Man and Cybernetics Systems. 54(11). 6510–6521. 6 indexed citations
8.
Shi, Chaojun, et al.. (2024). CloudSwinNet: A hybrid CNN-transformer framework for ground-based cloud images fine-grained segmentation. Energy. 309. 133128–133128. 5 indexed citations
9.
Shi, Chaojun, et al.. (2024). Improved RepVGG ground-based cloud image classification with attention convolution. Atmospheric measurement techniques. 17(3). 979–997. 3 indexed citations
10.
Shi, Chaojun, et al.. (2024). LSKF-YOLO: Large Selective Kernel Feature Fusion Network for Power Tower Detection in High-Resolution Satellite Remote Sensing Images. IEEE Transactions on Geoscience and Remote Sensing. 62. 1–16. 13 indexed citations
11.
Zhang, Ke, Jiacun Wang, Xiwang Guo, et al.. (2024). Power‐DETR: end‐to‐end power line defect components detection based on contrastive denoising and hybrid label assignment. IET Generation Transmission & Distribution. 18(20). 3264–3277. 1 indexed citations
12.
Zhang, Ke, et al.. (2024). Transmission Line Key Components and Defects Detection Based on Meta-Learning. IEEE Transactions on Instrumentation and Measurement. 73. 1–13. 2 indexed citations
13.
Shi, Chaojun, et al.. (2023). Face-based age estimation using improved Swin Transformer with attention-based convolution. Frontiers in Neuroscience. 17. 1136934–1136934. 4 indexed citations
14.
Shi, Chaojun, et al.. (2023). Multi‐task multi‐scale attention learning‐based facial age estimation. IET Signal Processing. 17(2). 2 indexed citations
15.
Zhang, Ke, Jiacun Wang, Xiwang Guo, et al.. (2023). PA-DETR: End-to-End Visually Indistinguishable Bolt Defects Detection Method Based on Transmission Line Knowledge Reasoning. IEEE Transactions on Instrumentation and Measurement. 72. 1–14. 26 indexed citations
16.
Zhang, Ke, et al.. (2023). Self-supervised E-Swin based transmission line fittings detection. Journal of Image and Graphics. 28(10). 3064–3076.
17.
Shi, Chaojun, et al.. (2023). SBD-YOLOv5: An Enhanced YOLOv5-Based Method for Transmission Line Fitting Defect Detection. 8090–8095. 2 indexed citations
18.
Shi, Chaojun, et al.. (2020). CloudU-Net: A Deep Convolutional Neural Network Architecture for Daytime and Nighttime Cloud Images’ Segmentation. IEEE Geoscience and Remote Sensing Letters. 18(10). 1688–1692. 40 indexed citations
19.
20.
Shi, Chaojun, et al.. (2019). Diurnal and nocturnal cloud segmentation of all-sky imager (ASI) images using enhancement fully convolutional networks. Atmospheric measurement techniques. 12(9). 4713–4724. 20 indexed citations

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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