Ke Sun

439 total citations · 1 hit paper
8 papers, 264 citations indexed

About

Ke Sun is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Organic Chemistry. According to data from OpenAlex, Ke Sun has authored 8 papers receiving a total of 264 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Computer Vision and Pattern Recognition, 2 papers in Artificial Intelligence and 1 paper in Organic Chemistry. Recurrent topics in Ke Sun's work include Face recognition and analysis (4 papers), Domain Adaptation and Few-Shot Learning (2 papers) and Digital Media Forensic Detection (2 papers). Ke Sun is often cited by papers focused on Face recognition and analysis (4 papers), Domain Adaptation and Few-Shot Learning (2 papers) and Digital Media Forensic Detection (2 papers). Ke Sun collaborates with scholars based in China, Japan and United Arab Emirates. Ke Sun's co-authors include Rongrong Ji, Shouhong Ding, Taiping Yao, Chen Shen, Jilin Li, Hong Liu, Jianzhuang Liu, Ling Shao, Yue Gao and Qixiang Ye and has published in prestigious journals such as Angewandte Chemie International Edition, International Journal of Computer Vision and Neural Networks.

In The Last Decade

Ke Sun

8 papers receiving 258 citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Dual Contrastive Learning for General Face Forgery Detection

2022 126 citations Ke Sun, Taiping Yao et al. Proceedings of the AAAI Conference on Artificial Intelligence profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Ke Sun China	5	224	93	21	10	9	8	264
Kaiser J. Giri India	8	131 0.6×	32 0.3×	19 0.9×		22 2.4×	30	182
Srikar Appalaraju United States	5	181 0.8×	115 1.2×	15 0.7×		14 1.6×	11	237
Cheng-Ta Huang Taiwan	10	338 1.5×	33 0.4×	56 2.7×		20 2.2×	41	391
Hao Xiong China	8	70 0.3×	202 2.2×	11 0.5×		2 0.2×	13	241
Joost van Beusekom Germany	9	232 1.0×	28 0.3×	10 0.5×	2 0.2×	32 3.6×	20	248
Oksana Yakhnenko United States	7	94 0.4×	77 0.8×	18 0.9×		14 1.6×	8	152
Peyman Passban Ireland	7	82 0.4×	150 1.6×	4 0.2×		6 0.7×	14	183
Felix Stahlberg United Kingdom	10	75 0.3×	262 2.8×	16 0.8×		5 0.6×	29	284
Wenwen Yu China	4	144 0.6×	70 0.8×	4 0.2×		33 3.7×	10	183

Countries citing papers authored by Ke Sun

Since Specialization

Citations

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

Fields of papers citing papers by Ke Sun

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ke Sun

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

All Works

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8 of 8 papers shown

1.

Sun, Ke, Chen Shen, Taiping Yao, et al.. (2024). Continual Face Forgery Detection via Historical Distribution Preserving. International Journal of Computer Vision. 133(3). 1067–1084. 2 indexed citations

2.

Sun, Ke, Chen Shen, Taiping Yao, et al.. (2024). Correction: Continual Face Forgery Detection via Historical Distribution Preserving. International Journal of Computer Vision. 133(4). 2246–2246. 2 indexed citations

3.

Sun, Ke, et al.. (2023). Heterogeneous context interaction network for vehicle re-identification. Neural Networks. 169. 293–306. 7 indexed citations

4.

Wang, Zhuang, et al.. (2022). Asymmetric Total Synthesis of Shizukaol J, Trichloranoid C and Trishizukaol A. Angewandte Chemie International Edition. 61(17). e202200258–e202200258. 14 indexed citations

5.

Sun, Ke, Taiping Yao, Chen Shen, et al.. (2022). Dual Contrastive Learning for General Face Forgery Detection. Proceedings of the AAAI Conference on Artificial Intelligence. 36(2). 2316–2324. 126 indexed citations breakdown →

6.

Sun, Ke, Hong Liu, Qixiang Ye, et al.. (2021). Domain General Face Forgery Detection by Learning to Weight. Proceedings of the AAAI Conference on Artificial Intelligence. 35(3). 2638–2646. 103 indexed citations

7.

Sun, Ke, Ying Li, Jing Peng, Kang Tu, & Leiqing Pan. (2017). Surface Gloss Evaluation of Apples Based on Computer Vision and Support Vector Machine Method. Food Analytical Methods. 10(8). 2800–2806. 9 indexed citations

8.

Fraser‐Reid, Bert, et al.. (1981). ChemInform Abstract: CARBOHYDRATE DERIVATIVES IN THE ASYMMETRIC SYNTHESIS OF NATURAL PRODUCTS: SOME APPLICATIONS OF FURANOSE SUGARS. Chemischer Informationsdienst. 12(43). 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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