Zhitang Chen

414 citations
13 papers · 149 indexed · h-index 6
Topics
Bayesian Modeling and Causal Inference (3 papers)EEG and Brain-Computer Interfaces (3 papers)Blind Source Separation Techniques (3 papers)
Partner nations
ChinaHong KongSweden

In The Last Decade

Zhitang Chen

13 papers receiving 147 citations

Peers

Zhitang Chen
Comparison fields: 5 of 51
  • Artificial Intelligence 73
  • Computer Networks and Communications 37
  • Cognitive Neuroscience 22
  • Computer Vision and Pattern Recognition 21
  • Building and Construction 21
Replace Wouter Kool with:
Wouter Kool Netherlands
Chaoran Huang Australia
Kavita Pandey India
Antonio Carta Italy
Zhiyuan Xie Hong Kong
Chengtai Cao China
Bilal Saoud Algeria
Xiaomin Ouyang Hong Kong
Yll Haxhimusa Austria
Hiroki Ohashi Japan
Zhitang Chen relative to Wouter Kool Netherlands Wouter Kool's profile →
Citations per field
00.5×
Wouter Kool · 1×
Citations per year

Countries citing papers authored by Zhitang Chen

Since Specialization
Citations

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

Fields of papers citing papers by Zhitang Chen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Zhitang Chen

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

All Works

13 of 13 papers shown
#WorkIndexed citations
1 3
2 1
3 5
4 22
5 6
6 12
7
Domain Generalization via Multidomain Discriminant Analysis.
21
8
Discriminative Training of Sum-Product Networks by Extended Baum-Welch.
1
9 1
10 57
11 14
12
Causal discovery with scale-mixture model for spatiotemporal variance dependencies
4
13 2

About Zhitang Chen

Zhitang Chen is a scholar working on Signal Processing, Behavioral Neuroscience and Cognitive Neuroscience, having authored 13 papers that have together received 149 indexed citations. Recurring topics across this work include Bayesian Modeling and Causal Inference (3 papers), EEG and Brain-Computer Interfaces (3 papers) and Blind Source Separation Techniques (3 papers). The work is most often cited by research in Artificial Intelligence (73 citations), Transportation (12 citations) and Computer Networks and Communications (37 citations). Zhitang Chen has collaborated with scholars based in China, Hong Kong and Sweden. Frequent co-authors include Yanhui Geng, Laiwan Chan, Kun Zhang, Jianye Hao, Shengyu Zhu, Hongzhi Qi, Xiaoqiang Wang, Jun Wang, Weibo Yi and Yali Du. Their work appears in journals such as IEEE Access, Neural Computation and Frontiers in Psychiatry.

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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