Hang Gao

838 total citations
43 papers, 375 citations indexed

About

Hang Gao is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Cardiology and Cardiovascular Medicine. According to data from OpenAlex, Hang Gao has authored 43 papers receiving a total of 375 indexed citations (citations by other indexed papers that have themselves been cited), including 26 papers in Artificial Intelligence, 8 papers in Computer Vision and Pattern Recognition and 5 papers in Cardiology and Cardiovascular Medicine. Recurrent topics in Hang Gao's work include Topic Modeling (10 papers), Advanced Graph Neural Networks (7 papers) and Sentiment Analysis and Opinion Mining (6 papers). Hang Gao is often cited by papers focused on Topic Modeling (10 papers), Advanced Graph Neural Networks (7 papers) and Sentiment Analysis and Opinion Mining (6 papers). Hang Gao collaborates with scholars based in China, Belgium and United States. Hang Gao's co-authors include Tiegang Gao, Mengting Hu, Matthew Tancik, Ruilong Li, Shiwan Zhao, Angjoo Kanazawa, Jan D’hooge, Piet Claus, Jens‐Uwe Voigt and Yike Wu and has published in prestigious journals such as Journal of Agricultural and Food Chemistry, IEEE Transactions on Medical Imaging and Information Sciences.

In The Last Decade

Hang Gao

37 papers receiving 359 citations

Peers

Hang Gao
Comparison fields: 5 of 89
  • Artificial Intelligence 170
  • Cardiology and Cardiovascular Medicine 81
  • Radiology, Nuclear Medicine and Imaging 76
  • Computer Vision and Pattern Recognition 48
  • Biomedical Engineering 37
Replace Deepta Rajan with:
Deepta Rajan United States
Deepak Gupta India
J.C. McEachen United States
Solon A. Peixoto Brazil
Michael Tschannen Switzerland
N. Santhiyakumari India
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Xiang Deng United States
Guangyuan Li China
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Deepta Rajan United States View profile →
Citations per field, relative to Hang Gao
Hang Gao · 1×
Citations per year, relative to Hang Gao
Hang Gao · 1×

Countries citing papers authored by Hang Gao

Since Specialization
Citations

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

Fields of papers citing papers by Hang Gao

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Hang Gao

This figure shows the co-authorship network connecting the top 25 collaborators of Hang Gao. A scholar is included among the top collaborators of Hang Gao 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 Hang Gao. Hang Gao 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 0
3 1
4 3
5 3
6 0
7 1
8 5
9 3
10 8
11 2
12 10
13 28
14 2
15 2
16 8
17 3
18 41
19 41
20
[Clinical observation on the treatment of ischemic heart disease with Astragalus membranaceus].
11

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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