Wanzeng Kong

4.4k citations
191 papers · 3.0k indexed · h-index 30
Topics
EEG and Brain-Computer Interfaces (118 papers)Emotion and Mood Recognition (37 papers)Neural dynamics and brain function (33 papers)
Partner nations
ChinaJapanItaly

In The Last Decade

Wanzeng Kong

167 papers receiving 2.9k citations

Peers

Wanzeng Kong
Comparison fields: 5 of 153
  • Cognitive Neuroscience 1.8k
  • Experimental and Cognitive Psychology 1.1k
  • Artificial Intelligence 454
  • Computer Vision and Pattern Recognition 394
  • Human-Computer Interaction 357
Replace Xiangmin Xu with:
Xiangmin Xu China
Nidal Kamel Malaysia
Li‐Wei Ko Taiwan
Chun‐Hsiang Chuang Taiwan
Zhen Cui China
Yangsong Zhang China
Syed Muhammad Anwar Pakistan
Leonard J. Trejo United States
Lijun Yin United States
Wanzeng Kong relative to Xiangmin Xu China Xiangmin Xu's profile →
Citations per field
00.5×1.5×
Xiangmin Xu · 1×
Citations per year

Countries citing papers authored by Wanzeng Kong

Since Specialization
Citations

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

Fields of papers citing papers by Wanzeng Kong

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Wanzeng Kong

This figure shows the co-authorship network connecting the top 25 collaborators of Wanzeng Kong. A scholar is included among the top collaborators of Wanzeng Kong 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 Wanzeng Kong. Wanzeng Kong 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 5
2 1
3 0
4 0
5 2
6 1
7 5
8 2
9 0
10 5
11 26
12 13
13 50
14 36
15 46
16 4
17 29
18 50
19 24
20 101

About Wanzeng Kong

Wanzeng Kong is a scholar working on Cognitive Neuroscience, Computational Mathematics and Human-Computer Interaction, having authored 191 papers that have together received 3.0k indexed citations. Recurring topics across this work include EEG and Brain-Computer Interfaces (118 papers), Emotion and Mood Recognition (37 papers) and Neural dynamics and brain function (33 papers). The work is most often cited by research in Cognitive Neuroscience (1.8k citations), Experimental and Cognitive Psychology (1.1k citations) and Human-Computer Interaction (357 citations). Wanzeng Kong has collaborated with scholars based in China, Japan and Italy. Frequent co-authors include Yong Peng, Fabio Babiloni, Jianhai Zhang, Guojun Dai, Gianluca Borghini, Feiwei Qin, Hong Zeng, Giovanni Vecchiato, Feiping Nie and Andrzej Cichocki. Their work appears in journals such as SHILAP Revista de lepidopterología, IEEE Transactions on Pattern Analysis and Machine Intelligence and Expert Systems with Applications.

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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