Shukang Yin

651 total citations · 1 hit paper
6 papers, 218 citations indexed

About

Shukang Yin is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Sociology and Political Science. According to data from OpenAlex, Shukang Yin has authored 6 papers receiving a total of 218 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Computer Vision and Pattern Recognition, 3 papers in Artificial Intelligence and 1 paper in Sociology and Political Science. Recurrent topics in Shukang Yin's work include Topic Modeling (3 papers), Multimodal Machine Learning Applications (2 papers) and Natural Language Processing Techniques (2 papers). Shukang Yin is often cited by papers focused on Topic Modeling (3 papers), Multimodal Machine Learning Applications (2 papers) and Natural Language Processing Techniques (2 papers). Shukang Yin collaborates with scholars based in China. Shukang Yin's co-authors include Enhong Chen, Tong Xu, Chaoyou Fu, Sirui Zhao, Ke Li, Xing Sun, Hao Wang, Dianbo Sui, Tong Bill Xu and Yunhang Shen and has published in prestigious journals such as National Science Review, Science China Information Sciences and ACM Transactions on Multimedia Computing Communications and Applications.

In The Last Decade

Shukang Yin

4 papers receiving 209 citations

Hit Papers

A survey on multimodal large language models 2024 2026 2025 2024 50 100 150

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Shukang Yin China 4 97 61 20 14 14 6 218
Muhammad Rehman Zafar Pakistan 3 114 1.2× 22 0.4× 23 1.1× 20 1.4× 15 1.1× 4 227
Bernd Malle Austria 4 165 1.7× 39 0.6× 33 1.6× 28 2.0× 20 1.4× 4 266
Udo Schlegel Germany 5 170 1.8× 84 1.4× 26 1.3× 8 0.6× 5 0.4× 19 263
Nilaksh Das United States 5 155 1.6× 105 1.7× 4 0.2× 13 0.9× 13 0.9× 11 287
Oscar Li United States 5 304 3.1× 101 1.7× 34 1.7× 13 0.9× 35 2.5× 14 383
Nanyi Fei China 5 155 1.6× 141 2.3× 22 1.1× 7 0.5× 32 2.3× 9 302
Haekyu Park United States 4 80 0.8× 72 1.2× 4 0.2× 11 0.8× 13 0.9× 6 198
Shreyasi Pathak Netherlands 7 200 2.1× 27 0.4× 43 2.1× 6 0.4× 25 1.8× 12 315
Hengshuai Yao Canada 8 111 1.1× 26 0.4× 12 0.6× 6 0.4× 6 0.4× 19 192
R Prasanna Kumar India 9 107 1.1× 35 0.6× 3 0.1× 25 1.8× 9 0.6× 57 249

Countries citing papers authored by Shukang Yin

Since Specialization
Citations

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

Fields of papers citing papers by Shukang Yin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Shukang Yin

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

All Works

6 of 6 papers shown
1.
Yin, Shukang, Chaoyou Fu, Tong Bill Xu, et al.. (2024). Woodpecker: hallucination correction for multimodal large language models. Science China Information Sciences. 67(12). 17 indexed citations
2.
Wang, Xianquan, et al.. (2024). I-AM-G: Interest Augmented Multimodal Generator for Item Personalization. 21303–21317.
3.
Yin, Shukang, Sirui Zhao, Hao Wang, Tong Xu, & Enhong Chen. (2024). Exploiting Instance-level Relationships in Weakly Supervised Text-to-Video Retrieval. ACM Transactions on Multimedia Computing Communications and Applications. 20(10). 1–21.
4.
Yin, Shukang, Chaoyou Fu, Sirui Zhao, et al.. (2024). A survey on multimodal large language models. National Science Review. 11(12). nwae403–nwae403. 189 indexed citations breakdown →
5.
Yin, Shukang, et al.. (2023). AU-aware graph convolutional network for Macroand Micro-expression spotting. 228–233. 5 indexed citations
6.
Zhao, Sirui, et al.. (2022). Fine-grained Micro-Expression Generation based on Thin-Plate Spline and Relative AU Constraint. Proceedings of the 30th ACM International Conference on Multimedia. 7150–7154. 7 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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