Yi He

2.3k citations
115 papers · 1.4k · h-index 18

Impact in

Papers in

    • Data Stream Mining Techniques 13
    • Machine Learning and Data Classification 11
    • Advanced Graph Neural Networks 9
    • Topic Modeling 6
    • Recommender Systems and Techniques 15
    • Service-Oriented Architecture and Web Services 6

Yi He

100 papers receiving 1.3k citations

Peers

Yi He
Comparison fields: 5 of 134
  • Computational Mathematics 33
  • Artificial Intelligence 617
  • Computer Vision and Pattern Recognition 375
  • Information Systems 285
  • Management Science and Operations Research 102
Replace Sarah Erfani with:
Sarah Erfani Australia
Martin Takáč United States
Yi Zhou China
Piyush Rai India
Jia Xu China
Qingchen Zhang China
Yuan Yang China
Yan Yan China
Meng Sun China
Yi He relative to Sarah Erfani Australia Sarah Erfani's profile →
Citations per field
00.5×1.5×2.1×
Sarah Erfani · 1×
Citations per year

Countries citing papers authored by Yi He

Since Specialization
Citations

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

Fields of papers citing papers by Yi He

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Yi He, 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 Yi He Line = papers co-authored together Yi He links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 115 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2020147
2 2019133
3 2021105
4 201973
5 202265
6 200659
7 202254
8 201750
9 201631
10 202030
11 201927
12 202127
13 202126
14 202325
15 202321
16 202221
17 201118
18 202217
19 202117
20 202217

About Yi He

Yi He is a scholar working on Artificial Intelligence, Information Systems, Computer Vision and Pattern Recognition, Computer Networks and Communications and Management Science and Operations Research, having authored 115 papers that have together received 1.4k indexed citations. Recurring topics across this work include Recommender Systems and Techniques (15 papers), Data Stream Mining Techniques (13 papers), Machine Learning and Data Classification (11 papers), Advanced Graph Neural Networks (9 papers), Advanced Bandit Algorithms Research (8 papers), Service-Oriented Architecture and Web Services (6 papers), Topic Modeling (6 papers) and Face and Expression Recognition (6 papers). The work is most often cited by research in Computational Mathematics (33 citations), Artificial Intelligence (617 citations), Computer Vision and Pattern Recognition (375 citations), Information Systems (285 citations) and Management Science and Operations Research (102 citations). Yi He has collaborated with scholars based in China, United States and Ghana. Frequent co-authors include Di Wu, Xin Luo, MengChu Zhou, Mingsheng Shang, Guoyin Wang, Xindong Wu, Yuhui Qiu, Sheng Chen, Kehui Sun and Wenhao Liu. Their work appears in journals such as IEEE Transactions on Services Computing, IEEE Transactions on Neural Networks and Learning Systems, IEEE Transactions on Knowledge and Data Engineering, Computers & Electrical Engineering and IEEE Transactions on Systems Man and Cybernetics Systems.

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