Sujing Wang

8.6k total citations · 3 hit papers
182 papers, 5.7k citations indexed

About

Sujing Wang is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Experimental and Cognitive Psychology. According to data from OpenAlex, Sujing Wang has authored 182 papers receiving a total of 5.7k indexed citations (citations by other indexed papers that have themselves been cited), including 52 papers in Computer Vision and Pattern Recognition, 34 papers in Artificial Intelligence and 31 papers in Experimental and Cognitive Psychology. Recurrent topics in Sujing Wang's work include Face and Expression Recognition (31 papers), Emotion and Mood Recognition (29 papers) and Oil, Gas, and Environmental Issues (17 papers). Sujing Wang is often cited by papers focused on Face and Expression Recognition (31 papers), Emotion and Mood Recognition (29 papers) and Oil, Gas, and Environmental Issues (17 papers). Sujing Wang collaborates with scholars based in China, United States and Finland. Sujing Wang's co-authors include Xiaolan Fu, Wen‐Jing Yan, Guoying Zhao, Yong‐Jin Liu, Huiling Chen, Xiaobai Li, Qiang Xu, Gang Wang, Yu‐Hsin Chen and Xiaohua Huang and has published in prestigious journals such as PLoS ONE, IEEE Transactions on Pattern Analysis and Machine Intelligence and Circulation Research.

In The Last Decade

Sujing Wang

163 papers receiving 5.5k citations

Hit Papers

CASME II: An Improved Spontaneous Micro-Expression Databa... 2014 2026 2018 2022 2014 2015 2021 200 400 600

Peers

Sujing Wang
Comparison fields: 5 of 185
  • Computer Vision and Pattern Recognition 2.5k
  • Experimental and Cognitive Psychology 1.9k
  • Artificial Intelligence 1.5k
  • Signal Processing 563
  • Human-Computer Interaction 474
Replace Zhe Wang with:
Zhe Wang China
Tianzhu Zhang China
Stefan Winkler Singapore
Chen Lv China
Yunhong Wang China
Sung Wook Baik South Korea
Zhenghua Chen Singapore
Yan Li China
Tong Zhang China
Bing Li China
Zhe Wang China View profile →
Citations per field, relative to Sujing Wang
Sujing Wang · 1×
Citations per year, relative to Sujing Wang
Sujing Wang · 1×

Countries citing papers authored by Sujing Wang

Since Specialization
Citations

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

Fields of papers citing papers by Sujing Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Sujing Wang

This figure shows the co-authorship network connecting the top 25 collaborators of Sujing Wang. A scholar is included among the top collaborators of Sujing Wang 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 Sujing Wang. Sujing Wang 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
# Work Indexed citations
1 0
2 0
3 1
4 0
5 2
6 0
7 0
8 0
9 0
10 1
11 2
12 7
13 5
14 0
15 7
16 0
17 4
18 1
19 39
20 147

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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2026