Kun Zhou

1.9k total citations · 1 hit paper
43 papers, 1.0k citations indexed

About

Kun Zhou is a scholar working on Artificial Intelligence, Information Systems and Computer Vision and Pattern Recognition. According to data from OpenAlex, Kun Zhou has authored 43 papers receiving a total of 1.0k indexed citations (citations by other indexed papers that have themselves been cited), including 27 papers in Artificial Intelligence, 15 papers in Information Systems and 10 papers in Computer Vision and Pattern Recognition. Recurrent topics in Kun Zhou's work include Topic Modeling (21 papers), Recommender Systems and Techniques (15 papers) and Natural Language Processing Techniques (10 papers). Kun Zhou is often cited by papers focused on Topic Modeling (21 papers), Recommender Systems and Techniques (15 papers) and Natural Language Processing Techniques (10 papers). Kun Zhou collaborates with scholars based in China, United States and Singapore. Kun Zhou's co-authors include Wayne Xin Zhao, Ji-Rong Wen, Hui Yu, Shuqing Bian, Yuanhang Zhou, Xiaolei Wang, Fuzheng Zhang, Zhongyuan Wang, Rui Sun and Kai Zheng and has published in prestigious journals such as Journal of Chemical Information and Modeling, Cancer Science and Frontiers in Oncology.

In The Last Decade

Kun Zhou

34 papers receiving 1.0k citations

Hit Papers

Filter-enhanced MLP is All You Need for Sequential Recomm... 2022 2026 2023 2024 2022 50 100 150

Peers

Kun Zhou
Comparison fields: 5 of 98
  • Artificial Intelligence 792
  • Information Systems 653
  • Computer Vision and Pattern Recognition 233
  • Management Science and Operations Research 111
  • Molecular Biology 49
Replace Yongfeng Zhang with:
Yongfeng Zhang China
Rahul G. Krishnan Canada
Bhaskar Mitra United States
Fei Cai China
Fajie Yuan China
Shujian Huang China
Yukuo Cen China
Debasis Ganguly Ireland
Christopher DuBois United States
Weiwen Liu China
Yongfeng Zhang China View profile →
Citations per field, relative to Kun Zhou
Kun Zhou · 1×
Citations per year, relative to Kun Zhou
Kun Zhou · 1×

Countries citing papers authored by Kun Zhou

Since Specialization
Citations

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

Fields of papers citing papers by Kun Zhou

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Kun Zhou

This figure shows the co-authorship network connecting the top 25 collaborators of Kun Zhou. A scholar is included among the top collaborators of Kun Zhou 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 Kun Zhou. Kun Zhou 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 1
3 0
4 0
5 0
6 0
7 1
8 0
9 5
10 13
11 13
12 37
13
Filter-enhanced MLP is All You Need for Sequential Recommendation breakdown →
165
14 24
15 4
16 1
17 96
18 194
19 2
20 25

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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