Jian Shen

3.1k citations
54 papers · 1.7k indexed · 1 hit paper · h-index 20
Topics
EEG and Brain-Computer Interfaces (23 papers)Emotion and Mood Recognition (12 papers)Functional Brain Connectivity Studies (10 papers)

In The Last Decade

Jian Shen

48 papers receiving 1.7k citations

Hit Papers

Wasserstein Distance Guided Representation Learning for D...20182026202020232018100200300400

Peers

Jian Shen
Comparison fields: 5 of 124
  • Artificial Intelligence 698
  • Cognitive Neuroscience 600
  • Experimental and Cognitive Psychology 419
  • Computer Vision and Pattern Recognition 345
  • Cardiology and Cardiovascular Medicine 153
Replace László A. Jeni with:
László A. Jeni United States
Xiangwei Zheng China
Manuel J. Fonseca Portugal
Zhong Yin China
Di Wang Singapore
Jianhua Zhang China
Stefano Nichele Norway
Marı́a Teresa López Spain
Jian Shen relative to László A. Jeni United States László A. Jeni's profile →
Citations per field
00.5×
László A. Jeni · 1×
Citations per year

Countries citing papers authored by Jian Shen

Since Specialization
Citations

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

Fields of papers citing papers by Jian Shen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jian Shen

This figure shows the co-authorship network connecting the top 25 collaborators of Jian Shen. A scholar is included among the top collaborators of Jian Shen 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 Jian Shen. Jian Shen 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
#WorkIndexed citations
1 2
2 0
3 2
4 10
5 5
6 1
7 50
8 16
9 50
10
Curriculum Offline Imitating Learning
5
11 141
12 35
13 59
14 91
15 69
16 108
17 53
18 52
19
Adversarial Representation Learning for Domain Adaptation.
14
20 31

About Jian Shen

Jian Shen is a scholar working on Cognitive Neuroscience, Experimental and Cognitive Psychology and Energy Engineering and Power Technology, having authored 54 papers that have together received 1.7k indexed citations. Recurring topics across this work include EEG and Brain-Computer Interfaces (23 papers), Emotion and Mood Recognition (12 papers) and Functional Brain Connectivity Studies (10 papers). The work is most often cited by research in Experimental and Cognitive Psychology (419 citations), Cognitive Neuroscience (600 citations) and Artificial Intelligence (698 citations). Jian Shen has collaborated with scholars based in China, United States and Australia. Frequent co-authors include Yong Yu, Weinan Zhang, Yanru Qu, Bin Hu, Xiaowei Zhang, Zhijie Ding, Gang Wang, Dawei Lu, Qunxi Dong and Yunfei Liu. Their work appears in journals such as Scientific Reports, IEEE Transactions on Fuzzy Systems and IEEE Transactions on Cybernetics.

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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