Wenyan Cong

498 total citations
7 papers, 237 citations indexed

About

Wenyan Cong is a scholar working on Computer Vision and Pattern Recognition, Atomic and Molecular Physics, and Optics and Media Technology. According to data from OpenAlex, Wenyan Cong has authored 7 papers receiving a total of 237 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Computer Vision and Pattern Recognition, 1 paper in Atomic and Molecular Physics, and Optics and 1 paper in Media Technology. Recurrent topics in Wenyan Cong's work include Advanced Image Processing Techniques (5 papers), Image Enhancement Techniques (5 papers) and Image and Signal Denoising Methods (3 papers). Wenyan Cong is often cited by papers focused on Advanced Image Processing Techniques (5 papers), Image Enhancement Techniques (5 papers) and Image and Signal Denoising Methods (3 papers). Wenyan Cong collaborates with scholars based in China, India and United Kingdom. Wenyan Cong's co-authors include Liqing Zhang, Li Niu, Liu Liu, Weiyuan Li, Jing Liang, Jianfu Zhang, Qihao Sun, Junyan Cao, Niu Li and Xinyuan Lu and has published in prestigious journals such as 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), arXiv (Cornell University) and Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence.

In The Last Decade

Wenyan Cong

7 papers receiving 236 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Wenyan Cong China 5 216 41 34 14 13 7 237
Miguel Granados Germany 5 225 1.0× 25 0.6× 57 1.7× 15 1.1× 6 0.5× 11 249
Assaf Shocher Israel 4 246 1.1× 34 0.8× 101 3.0× 6 0.4× 7 0.5× 6 275
Tijana Ružić Belgium 6 201 0.9× 34 0.8× 26 0.8× 6 0.4× 11 0.8× 17 262
Min Jin Chong United States 6 152 0.7× 18 0.4× 21 0.6× 7 0.5× 42 3.2× 8 192
Levent Karacan Türkiye 5 233 1.1× 22 0.5× 83 2.4× 18 1.3× 10 0.8× 13 256
Zili Yi Canada 5 266 1.2× 51 1.2× 28 0.8× 3 0.2× 24 1.8× 11 298
Jinglei Shi China 7 201 0.9× 10 0.2× 60 1.8× 9 0.6× 4 0.3× 15 235
Abhijith Punnappurath India 8 204 0.9× 10 0.2× 73 2.1× 33 2.4× 12 0.9× 20 229
Yi-Shin Tung Taiwan 7 224 1.0× 12 0.3× 28 0.8× 8 0.6× 17 1.3× 15 246
Namhyuk Ahn South Korea 6 243 1.1× 9 0.2× 132 3.9× 4 0.3× 19 1.5× 13 261

Countries citing papers authored by Wenyan Cong

Since Specialization
Citations

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

Fields of papers citing papers by Wenyan Cong

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Wenyan Cong

This figure shows the co-authorship network connecting the top 25 collaborators of Wenyan Cong. A scholar is included among the top collaborators of Wenyan Cong 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 Wenyan Cong. Wenyan Cong is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

7 of 7 papers shown
1.
2.
Niu, Li, Junyan Cao, Wenyan Cong, & Liqing Zhang. (2023). Deep Image Harmonization with Learnable Augmentation. 7448–7457. 6 indexed citations
3.
Cong, Wenyan, et al.. (2022). High-Resolution Image Harmonization via Collaborative Dual Transformations. 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR). 18449–18458. 58 indexed citations
4.
Lu, Xinyuan, et al.. (2022). Deep Video Harmonization With Color Mapping Consistency. Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence. 1232–1238. 3 indexed citations
5.
Cong, Wenyan, Li Niu, Jianfu Zhang, Jing Liang, & Liqing Zhang. (2021). Bargainnet: Background-Guided Domain Translation for Image Harmonization. 1–6. 45 indexed citations
6.
Cong, Wenyan, et al.. (2020). DoveNet: Deep Image Harmonization via Domain Verification. 8391–8400. 115 indexed citations
7.
Cong, Wenyan, Jianfu Zhang, Li Niu, et al.. (2019). Deep Image Harmonization via Domain Verification.. arXiv (Cornell University). 1 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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