Yun He

777 total citations
21 papers, 467 citations indexed

About

Yun He is a scholar working on Artificial Intelligence, Information Systems and Management Science and Operations Research. According to data from OpenAlex, Yun He has authored 21 papers receiving a total of 467 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Artificial Intelligence, 10 papers in Information Systems and 6 papers in Management Science and Operations Research. Recurrent topics in Yun He's work include Recommender Systems and Techniques (8 papers), Topic Modeling (7 papers) and Advanced Bandit Algorithms Research (5 papers). Yun He is often cited by papers focused on Recommender Systems and Techniques (8 papers), Topic Modeling (7 papers) and Advanced Bandit Algorithms Research (5 papers). Yun He collaborates with scholars based in United States, China and Thailand. Yun He's co-authors include James Caverlee, Ziwei Zhu, Yin Zhang⋆, Xing Zhao, Jianling Wang, E. Sánchez‐Sinencio, Yin Zhang, Qin Chen, Patrick P. K. Chan and Daniel Yeung and has published in prestigious journals such as Remote Sensing, IEEE Transactions on Neural Networks and Learning Systems and Energies.

In The Last Decade

Yun He

19 papers receiving 451 citations

Peers

Yun He
Comparison fields: 5 of 70
  • Artificial Intelligence 306
  • Information Systems 217
  • Management Science and Operations Research 107
  • Computer Vision and Pattern Recognition 56
  • Electrical and Electronic Engineering 56
Replace Suju Rajan with:
Suju Rajan United States
Masayu Leylia Khodra Indonesia
Aakanksha Sharaff India
Andrés Corrada-Emmanuel United States
Can Xu China
Ainur Yessenalina United States
Sahar A. El Rahman Saudi Arabia
Arnaud Quirin Spain
Xing Zhao China
Yutao Zhu China
Suju Rajan United States View profile →
Citations per field, relative to Yun He
Yun He · 1×
Citations per year, relative to Yun He
Yun He · 1×

Countries citing papers authored by Yun He

Since Specialization
Citations

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

Fields of papers citing papers by Yun He

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yun He

This figure shows the co-authorship network connecting the top 25 collaborators of Yun He. A scholar is included among the top collaborators of Yun He 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 Yun He. Yun He 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 1
4 25
5 47
6 44
7 84
8 59
9 30
10 26
11 8
12 39
13 3
14 3
15
ECNU at 2016 eHealth Task 1: Handover Information Extraction.
1
16
ECNU at 2016 eHealth Task 3: Patient-centred Information Retrieval.
3
17
ECNU at 2015 CDS Track: Two Re-ranking Methods in Medical Information Retrieval.
16
18 25
19 16
20 28

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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