Ke Sun

592 citations
20 papers · 339 indexed · 1 hit paper · h-index 7
Topics
Recommender Systems and Techniques (7 papers)Advanced Graph Neural Networks (5 papers)Topic Modeling (4 papers)
Partner nations
ChinaAustraliaHong Kong

In The Last Decade

Ke Sun

18 papers receiving 332 citations

Hit Papers

Where to Go Next: Modeling Long- and Short-Term User Pref...2020202620222024202050100150200

Peers

Ke Sun
Comparison fields: 5 of 57
  • Information Systems 209
  • Transportation 145
  • Artificial Intelligence 116
  • Computer Vision and Pattern Recognition 71
  • Signal Processing 57
Replace Huang Xu with:
Huang Xu China
Wen-Yuan Zhu Taiwan
Liangda Li United States
Chi Tin Hon Macao
Jinyoung Yeo South Korea
Sukhoon Lee South Korea
Gabriel P. Oliveira Brazil
José Moreira Portugal
Carmine Spagnuolo Italy
Chihiro Ono Japan
Ke Sun relative to Huang Xu China Huang Xu's profile →
Citations per field
00.5×5.7×
Huang Xu · 1×
Citations per year

Countries citing papers authored by Ke Sun

Since Specialization
Citations

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

Fields of papers citing papers by Ke Sun

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ke Sun

This figure shows the co-authorship network connecting the top 25 collaborators of Ke Sun. A scholar is included among the top collaborators of Ke Sun 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 Ke Sun. Ke Sun 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 3
2 0
3 1
4 6
5 2
6 3
7 1
8 0
9 5
10 2
11 4
12 9
13 16
14
Where to Go Next: Modeling Long- and Short-Term User Preferences for Point-of-Interest Recommendationbreakdown →
234
15 13
16 7
17 11
18 3
19 4
20 15

About Ke Sun

Ke Sun is a scholar working on Computer Vision and Pattern Recognition, Information Systems and Artificial Intelligence, having authored 20 papers that have together received 339 indexed citations. Recurring topics across this work include Recommender Systems and Techniques (7 papers), Advanced Graph Neural Networks (5 papers) and Topic Modeling (4 papers). The work is most often cited by research in Transportation (145 citations), Information Systems (209 citations) and Signal Processing (57 citations). Ke Sun has collaborated with scholars based in China, Australia and Hong Kong. Frequent co-authors include Tieyun Qian, Hongzhi Yin, Yile Liang, Tong Chen, Quoc Viet Hung Nguyen, Nong Sang, Ming Zhong, Qing Li, Xiaodong Zhang and Zhongliang Wu. Their work appears in journals such as PLoS ONE, IEEE Transactions on Pattern Analysis and Machine Intelligence and Information Sciences.

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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026