Qing He

17.2k total citations · 6 hit papers
297 papers, 10.6k citations indexed

About

Qing He is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Information Systems. According to data from OpenAlex, Qing He has authored 297 papers receiving a total of 10.6k indexed citations (citations by other indexed papers that have themselves been cited), including 124 papers in Artificial Intelligence, 69 papers in Computer Vision and Pattern Recognition and 53 papers in Information Systems. Recurrent topics in Qing He's work include Topic Modeling (36 papers), Domain Adaptation and Few-Shot Learning (31 papers) and Recommender Systems and Techniques (27 papers). Qing He is often cited by papers focused on Topic Modeling (36 papers), Domain Adaptation and Few-Shot Learning (31 papers) and Recommender Systems and Techniques (27 papers). Qing He collaborates with scholars based in China, United States and Hong Kong. Qing He's co-authors include Fuzhen Zhuang, Hui Xiong, Yongchun Zhu, Hengshu Zhu, Dongbo Xi, Zhiyuan Qi, Keyu Duan, Fuzhen Zhuang, Zhongzhi Shi and Xiang Ao and has published in prestigious journals such as Nature Communications, SHILAP Revista de lepidopterología and The Science of The Total Environment.

In The Last Decade

Qing He

273 papers receiving 10.3k citations

Hit Papers

A Comprehensive Survey on Transfer Learning 2020 2026 2022 2024 2020 2020 2020 2022 2021 1000 2.0k 3.0k

Peers

Qing He
Comparison fields: 5 of 213
  • Artificial Intelligence 5.0k
  • Computer Vision and Pattern Recognition 1.9k
  • Information Systems 1.7k
  • Electrical and Electronic Engineering 813
  • Control and Systems Engineering 750
Replace Sotiris Kotsiantis with:
Sotiris Kotsiantis Greece
Tin Kam Ho United States
Michael Steinbach United States
Rich Caruana United States
P. M. Durai Raj Vincent India
James Bergstra Canada
André C. P. L. F. de Carvalho Brazil
Thomas G. Dietterich United States
Yan Li China
Guoyin Wang China
Sotiris Kotsiantis Greece View profile →
Citations per field, relative to Qing He
Qing He · 1×
Citations per year, relative to Qing He
Qing He · 1×

Countries citing papers authored by Qing He

Since Specialization
Citations

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

Fields of papers citing papers by Qing He

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Qing He

This figure shows the co-authorship network connecting the top 25 collaborators of Qing He. A scholar is included among the top collaborators of Qing 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 Qing He. Qing 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 4
2 2
3 0
4 5
5 5
6 2
7 27
8 2
9 6
10 24
11 3
12 0
13 7
14 2
15 15
16 6
17 8
18
A Survey on Knowledge Graph-Based Recommender Systems breakdown →
507
19
The Internet of things and the data mining cloud service
1
20
The detection analysis method of surface EMG signal and its application
3

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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