Chaowei Fang

966 total citations
50 papers, 554 citations indexed

About

Chaowei Fang is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Media Technology. According to data from OpenAlex, Chaowei Fang has authored 50 papers receiving a total of 554 indexed citations (citations by other indexed papers that have themselves been cited), including 29 papers in Computer Vision and Pattern Recognition, 15 papers in Artificial Intelligence and 8 papers in Media Technology. Recurrent topics in Chaowei Fang's work include Domain Adaptation and Few-Shot Learning (10 papers), Advanced Neural Network Applications (7 papers) and Machine Learning and Data Classification (7 papers). Chaowei Fang is often cited by papers focused on Domain Adaptation and Few-Shot Learning (10 papers), Advanced Neural Network Applications (7 papers) and Machine Learning and Data Classification (7 papers). Chaowei Fang collaborates with scholars based in China, Hong Kong and United Kingdom. Chaowei Fang's co-authors include Dingwen Zhang, Guanbin Li, Junwei Han, Lechao Cheng, Yizhou Yu, Jungong Han, Qiang Zhang, Liang Wang, Gangming Zhao and Zicheng Liao and has published in prestigious journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, ACS Applied Materials & Interfaces and IEEE Transactions on Image Processing.

In The Last Decade

Chaowei Fang

42 papers receiving 544 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Chaowei Fang China 14 380 187 104 80 43 50 554
Zongxin Yang China 14 577 1.5× 175 0.9× 44 0.4× 73 0.9× 70 1.6× 27 761
Yan Shuicheng Singapore 3 616 1.6× 228 1.2× 78 0.8× 154 1.9× 40 0.9× 5 820
Zilin Gao China 5 407 1.1× 195 1.0× 49 0.5× 92 1.1× 37 0.9× 7 542
Zhisheng Zhong China 8 515 1.4× 365 2.0× 84 0.8× 96 1.2× 26 0.6× 8 761
Bisser Raytchev Japan 13 367 1.0× 169 0.9× 202 1.9× 40 0.5× 84 2.0× 78 922
Guoheng Huang China 12 308 0.8× 119 0.6× 38 0.4× 77 1.0× 19 0.4× 97 523
Michalis A. Savelonas Greece 17 333 0.9× 278 1.5× 240 2.3× 49 0.6× 28 0.7× 59 694
Zhongying Deng China 6 506 1.3× 218 1.2× 38 0.4× 83 1.0× 23 0.5× 15 632

Countries citing papers authored by Chaowei Fang

Since Specialization
Citations

This map shows the geographic impact of Chaowei Fang'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 Chaowei Fang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Chaowei Fang more than expected).

Fields of papers citing papers by Chaowei Fang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Chaowei Fang. 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 Chaowei Fang. The network helps show where Chaowei Fang may publish in the future.

Co-authorship network of co-authors of Chaowei Fang

This figure shows the co-authorship network connecting the top 25 collaborators of Chaowei Fang. A scholar is included among the top collaborators of Chaowei Fang 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 Chaowei Fang. Chaowei Fang 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.
Sun, Xiang, Rong Zhang, Chaowei Fang, et al.. (2025). A Self-Replenishing Lubricant Slippery Coating with Low Interfacial Toughness for Enhancing Large-Scale Deicing Efficiency. ACS Applied Materials & Interfaces. 17(20). 30081–30093.
2.
Wang, Xinmiao, Bohao Zhang, Chaowei Fang, et al.. (2025). Real-time detection of hypoxic stress behavior in aquaculture fish using an enhanced YOLOv8 model. Aquaculture International. 33(3). 1 indexed citations
3.
Fang, Chaowei, et al.. (2025). High-frequency structure transformer for magnetic resonance image super-resolution. Pattern Recognition. 170. 112037–112037.
4.
Fang, Chaowei, et al.. (2025). Hierarchically Controlled Deformable 3D Gaussians for Talking Head Synthesis. Proceedings of the AAAI Conference on Artificial Intelligence. 39(8). 8532–8540.
5.
Fang, Chaowei, et al.. (2025). Decouple and Couple: Exploiting Prior Knowledge for Visible Video Watermark Removal. IEEE Transactions on Image Processing. 34. 1192–1203. 1 indexed citations
6.
He, Jingxuan, Lechao Cheng, Chaowei Fang, et al.. (2024). Progressive Feature Self-Reinforcement for Weakly Supervised Semantic Segmentation. Proceedings of the AAAI Conference on Artificial Intelligence. 38(3). 2085–2093. 4 indexed citations
7.
Liu, Hongying, Chaowei Fang, Fanhua Shang, et al.. (2024). A single frame and multi-frame joint network for 360-degree panorama video super-resolution. Engineering Applications of Artificial Intelligence. 134. 108601–108601. 5 indexed citations
8.
Fang, Chaowei, et al.. (2024). Removing Interference and Recovering Content Imaginatively for Visible Watermark Removal. Proceedings of the AAAI Conference on Artificial Intelligence. 38(4). 2983–2990. 2 indexed citations
9.
Zhang, Yue, et al.. (2024). Learning from open-set noisy labels based on multi-prototype modeling. Pattern Recognition. 157. 110902–110902. 5 indexed citations
10.
Li, Guanbin, et al.. (2024). Uncertainty-Aware Active Domain Adaptive Salient Object Detection. IEEE Transactions on Image Processing. 33. 5510–5524. 1 indexed citations
11.
Cheng, De, et al.. (2024). Neighbor Consistency and Global-Local Interaction: A Novel Pseudo-Label Refinement Approach for Unsupervised Person Re-Identification. IEEE Transactions on Information Forensics and Security. 19. 9070–9084. 7 indexed citations
12.
Fang, Chaowei, et al.. (2024). Variance-Insensitive and Target-Preserving Mask Refinement for Interactive Image Segmentation. Proceedings of the AAAI Conference on Artificial Intelligence. 38(2). 1698–1706. 2 indexed citations
13.
14.
Yang, Kaihui, Junwei Han, Chaowei Fang, et al.. (2024). Progressive Adapting and Pruning: Domain-Incremental Learning for Saliency Prediction. ACM Transactions on Multimedia Computing Communications and Applications. 20(8). 1–19. 2 indexed citations
15.
Fang, Chaowei, et al.. (2023). Adapting Object Size Variance and Class Imbalance for Semi-supervised Object Detection. Proceedings of the AAAI Conference on Artificial Intelligence. 37(2). 1966–1974. 9 indexed citations
16.
Wang, Kuo, Guanbin Li, Chaowei Fang, et al.. (2023). De-biased Teacher: Rethinking IoU Matching for Semi-supervised Object Detection. Proceedings of the AAAI Conference on Artificial Intelligence. 37(2). 2573–2580. 9 indexed citations
17.
Zhang, Dingwen, Hao Li, Chaowei Fang, et al.. (2023). Weakly Supervised Semantic Segmentation via Alternate Self-Dual Teaching. IEEE Transactions on Image Processing. 34. 3086–3095. 36 indexed citations
18.
Shen, Lvkang, et al.. (2022). Analysis of the suppression effect of voltage transformer's neutral point capacitance on ferromagnetic resonance. IET conference proceedings.. 2021(15). 1040–1045.
19.
Fang, Chaowei, Li Mao, Juan Li, et al.. (2021). M 3 Net: A multi-scale multi-view framework for multi-phase pancreas segmentation based on cross-phase non-local attention. Medical Image Analysis. 75. 102232–102232. 33 indexed citations
20.
Yu, Yizhou, Chaowei Fang, & Zicheng Liao. (2015). Piecewise Flat Embedding for Image Segmentation. The HKU Scholars Hub (University of Hong Kong). 1368–1376. 17 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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