Siming Chen

3.3k total citations · 1 hit paper
135 papers, 2.1k citations indexed

About

Siming Chen is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Statistical and Nonlinear Physics. According to data from OpenAlex, Siming Chen has authored 135 papers receiving a total of 2.1k indexed citations (citations by other indexed papers that have themselves been cited), including 65 papers in Computer Vision and Pattern Recognition, 27 papers in Artificial Intelligence and 16 papers in Statistical and Nonlinear Physics. Recurrent topics in Siming Chen's work include Data Visualization and Analytics (58 papers), Video Analysis and Summarization (23 papers) and Complex Network Analysis Techniques (16 papers). Siming Chen is often cited by papers focused on Data Visualization and Analytics (58 papers), Video Analysis and Summarization (23 papers) and Complex Network Analysis Techniques (16 papers). Siming Chen collaborates with scholars based in China, United States and Germany. Siming Chen's co-authors include Xiaoru Yuan, Xin Liu, Xin Yang, Natalia Andrienko, Gennady Andrienko, Richen Liu, Lianying Jiao, Yuheng Zhao, Xiangyang Xue and Yi Chen and has published in prestigious journals such as Proceedings of the National Academy of Sciences, SHILAP Revista de lepidopterología and ACS Nano.

In The Last Decade

Siming Chen

117 papers receiving 2.0k citations

Hit Papers

Metaverse: Perspectives from graphics, interactions and v... 2022 2026 2023 2024 2022 50 100 150 200

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Siming Chen China 24 568 471 263 186 163 135 2.1k
Vittorio Scarano Italy 23 375 0.7× 356 0.8× 250 1.0× 171 0.9× 381 2.3× 142 4.3k
Jiyong Zhang China 29 1.1k 2.0× 99 0.2× 385 1.5× 225 1.2× 343 2.1× 125 2.6k
Junning Liu China 18 350 0.6× 177 0.4× 498 1.9× 240 1.3× 197 1.2× 54 1.9k
Seth Cooper United States 19 675 1.2× 587 1.2× 597 2.3× 33 0.2× 149 0.9× 94 3.3k
Yunpeng Li China 26 253 0.4× 196 0.4× 517 2.0× 400 2.2× 63 0.4× 132 2.3k
Yongxin Yang China 30 2.1k 3.8× 266 0.6× 1.5k 5.5× 97 0.5× 92 0.6× 91 3.8k
Ching‐Wen Chen Taiwan 20 294 0.5× 89 0.2× 139 0.5× 155 0.8× 109 0.7× 89 1.4k
Zitao Liu China 26 1.1k 2.0× 435 0.9× 1.3k 4.9× 99 0.5× 79 0.5× 146 3.3k
Jian Tang China 26 250 0.4× 505 1.1× 1.4k 5.3× 170 0.9× 349 2.1× 94 2.9k
Bingchen Li China 21 200 0.4× 696 1.5× 1.0k 3.8× 308 1.7× 238 1.5× 79 2.6k

Countries citing papers authored by Siming Chen

Since Specialization
Citations

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

Fields of papers citing papers by Siming Chen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Siming Chen

This figure shows the co-authorship network connecting the top 25 collaborators of Siming Chen. A scholar is included among the top collaborators of Siming Chen 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 Siming Chen. Siming Chen 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.
Lin, Zhong-Qin, et al.. (2025). Contextualized visual analytics for multivariate events. Visual Informatics. 9(2). 100234–100234. 1 indexed citations
2.
Chen, Siming, et al.. (2025). Predicting Cardiovascular Aging Risk Based on Clinical Data Through the Integration of Mathematical Modeling and Machine Learning. Applied Sciences. 15(9). 5077–5077. 2 indexed citations
3.
Han, Jun, et al.. (2025). DTBIA: An Immersive Visual Analytics System for Brain-Inspired Research. IEEE Transactions on Visualization and Computer Graphics. 31(6). 3796–3808.
4.
Li, Hongxiang, Kun Zhao, Siming Chen, et al.. (2025). Potential of Tandem Catalysts for Excellent H2O2 Electrosynthesis at Industrial-Relevant Current. ACS Nano. 19(32). 29566–29576.
5.
Lyu, Hanjia, Kun Wu, Siming Chen, et al.. (2024). SoMeLVLM: A Large Vision Language Model for Social Media Processing. 2366–2389. 2 indexed citations
7.
Bi, Chongke, et al.. (2024). Viewpoint Recommendation for Point Cloud Labeling Through Interaction Cost Modeling. IEEE Transactions on Visualization and Computer Graphics. 31(12). 10174–10187. 1 indexed citations
8.
Zhao, Yuheng, et al.. (2024). LEVA: Using Large Language Models to Enhance Visual Analytics. IEEE Transactions on Visualization and Computer Graphics. 31(3). 1830–1847. 19 indexed citations
9.
Zhao, Yuheng, et al.. (2023). Visual Explanation for Open-Domain Question Answering With BERT. IEEE Transactions on Visualization and Computer Graphics. 30(7). 3779–3797. 6 indexed citations
10.
Zhou, Yuan, et al.. (2023). Interpreting High-Dimensional Projections With Capacity. IEEE Transactions on Visualization and Computer Graphics. 30(9). 6038–6055. 1 indexed citations
11.
Gao, Lin, et al.. (2023). TransforLearn: Interactive Visual Tutorial for the Transformer Model. IEEE Transactions on Visualization and Computer Graphics. 30(1). 891–901. 6 indexed citations
12.
Zhang, Yu, et al.. (2023). OldVisOnline: Curating a Dataset of Historical Visualizations. IEEE Transactions on Visualization and Computer Graphics. 30(1). 551–561.
13.
Li, Xinhong, et al.. (2023). DTBVis: An interactive visual comparison system for digital twin brain and human brain. Visual Informatics. 7(2). 41–53. 11 indexed citations
14.
Liu, Richen, Min Gao, Lijun Wang, et al.. (2022). Interactive Extended Reality Techniques in Information Visualization. IEEE Transactions on Human-Machine Systems. 52(6). 1338–1351. 17 indexed citations
15.
Chen, Shuai, et al.. (2022). DanmuVis: Visualizing Danmu Content Dynamics and Associated Viewer Behaviors in Online Videos. Computer Graphics Forum. 41(3). 429–440. 5 indexed citations
16.
Fan, Hongying, Ruohang Wang, Siming Chen, et al.. (2021). The Relationship between Obligatory Exercise and Eating Attitudes, and the Mediating Role of Sociocultural Attitudes towards Appearance during the COVID-19 Pandemic. Nutrients. 13(12). 4286–4286. 11 indexed citations
17.
Chen, Siming, Natalia Andrienko, Gennady Andrienko, et al.. (2019). LDA Ensembles for Interactive Exploration and Categorization of Behaviors. IEEE Transactions on Visualization and Computer Graphics. 26(9). 2775–2792. 19 indexed citations
18.
Yu, Yiqi, Chuan Shen, Siming Chen, et al.. (2018). Natural history of serum HBV‐RNA in chronic HBV infection. Journal of Viral Hepatitis. 25(9). 1038–1047. 63 indexed citations
19.
Chen, Siming, Jie Li, Gennady Andrienko, et al.. (2018). Supporting Story Synthesis: Bridging the Gap between Visual Analytics and Storytelling. IEEE Transactions on Visualization and Computer Graphics. 26(7). 2499–2516. 65 indexed citations
20.
Long, Yicheng, Ben Bolaños, Wei Liu, et al.. (2017). Conserved RNA-binding specificity of polycomb repressive complex 2 is achieved by dispersed amino acid patches in EZH2. eLife. 6. 78 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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