Fei Sun

9.9k citations
66 papers · 4.4k · 5 hit papers · h-index 22

Impact in

Papers in

Fei Sun

60 papers receiving 4.2k citations

Fei Sun's Hit Papers

Graph Neural Networks in Recommender Systems: A Survey 2022 · 594 citations
5940+2+4Years since publication4008001.2k

Peers

Fei Sun
Comparison fields: 5 of 126
  • Information Systems 2.2k
  • Artificial Intelligence 2.7k
  • Computer Vision and Pattern Recognition 1.7k
  • Management Science and Operations Research 541
  • Computational Mathematics 17
Replace Fuzhen Zhuang with:
Fuzhen Zhuang China
Fuzheng Zhang China
Tal Shaked United States
Scott Sanner Canada
Xiang Wang China
Yangqiu Song China
Jun Ma China
Zhoujun Li China
Weike Pan China
Fei Sun relative to Fuzhen Zhuang China Fuzhen Zhuang's profile →
Citations per field
00.5×1.5×2.1×
Fuzhen Zhuang · 1×
Citations per year

Countries citing papers authored by Fei Sun

Since Specialization
Citations

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

Fields of papers citing papers by Fei Sun

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Fei Sun, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Fei Sun Line = papers co-authored together Fei Sun links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 66 papers — load more, or switch the sort, to bring in the rest.

#Work
1
BERT4Rec
Hit paper breakdown →
20191219
2
FBNet: Hardware-Aware Efficient ConvNet Design via Differentiable Neural Architecture Search
Hit paper breakdown →
2019718
3
Graph Neural Networks in Recommender Systems: A Survey
Hit paper breakdown →
2022594
4
Learning in the Frequency Domain
Hit paper breakdown →
2020309
5
Contrastive Learning for Sequential Recommendation
Hit paper breakdown →
2022301
6 2019156
7 2019119
8 201988
9 202183
10 201979
11 202251
12 202247
13 202046
14 202246
15 201940
16 202040
17 201935
18 201931
19 202126
20 201825

About Fei Sun

Fei Sun is a scholar working on Artificial Intelligence, Information Systems, Computer Vision and Pattern Recognition, Management Science and Operations Research and Marketing, having authored 66 papers that have together received 4.4k indexed citations. Recurring topics across this work include Recommender Systems and Techniques (28 papers), Topic Modeling (14 papers), Advanced Graph Neural Networks (12 papers), Advanced Neural Network Applications (11 papers), Advanced Bandit Algorithms Research (8 papers), Consumer Market Behavior and Pricing (6 papers), Supply Chain and Inventory Management (5 papers) and Natural Language Processing Techniques (4 papers). The work is most often cited by research in Information Systems (2.2k citations), Artificial Intelligence (2.7k citations), Computer Vision and Pattern Recognition (1.7k citations), Management Science and Operations Research (541 citations) and Computational Mathematics (17 citations). Fei Sun has collaborated with scholars based in China, United States and Netherlands. Frequent co-authors include Wenwu Ou, Changhua Pei, Peng Jiang, Lin Xiao, Jian Wu, Jun Liu, Bin Cui, Shiwen Wu, X. H. Xie and Wentao Zhang. Their work appears in journals such as ACM Transactions on Information Systems, Aerospace Science and Technology, Transportation Research Part E Logistics and Transportation Review, ACM Computing Surveys 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.

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