Liang He

1.3k citations
37 papers · 896 indexed · h-index 10
Topics
Topic Modeling (9 papers)Natural Language Processing Techniques (7 papers)Graph Theory and Algorithms (4 papers)
Journals
Nature CommunicationsSHILAP Revista de lepidopterologíaThe Journal of Cell Biology

In The Last Decade

Liang He

33 papers receiving 882 citations

Peers

Liang He
Comparison fields: 5 of 95
  • Molecular Biology 587
  • Cell Biology 566
  • Plant Science 155
  • Artificial Intelligence 147
  • Information Systems 82
Replace David Botstein with:
David Botstein United States
Phoebe Johnson United States
Shulin Cao China
John E. Allen United States
Pei-I Tsai Taiwan
Edward J. Morris United States
Gabriel Dos Reis United States
Ankush Garg India
Shankar Shastry United States
Xiaohan Zhao China
Liang He relative to David Botstein United States David Botstein's profile →
Citations per field
00.5×12.3×
David Botstein · 1×
Citations per year

Countries citing papers authored by Liang He

Since Specialization
Citations

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

Fields of papers citing papers by Liang He

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Liang He

This figure shows the co-authorship network connecting the top 25 collaborators of Liang He. A scholar is included among the top collaborators of Liang 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 Liang He. Liang 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
#WorkIndexed citations
1 3
2 0
3 0
4 2
5 2
6 7
7 5
8 9
9 2
10 3
11 8
12 3
13 14
14
ECNU at 2016 eHealth Task 3: Patient-centred Information Retrieval.
3
15 1
16 20
17 7
18 1
19 171
20 90

About Liang He

Liang He is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Information Systems, having authored 37 papers that have together received 896 indexed citations. Recurring topics across this work include Topic Modeling (9 papers), Natural Language Processing Techniques (7 papers) and Graph Theory and Algorithms (4 papers). The work is most often cited by research in Cell Biology (566 citations), Molecular Biology (587 citations) and Artificial Intelligence (147 citations). Liang He has collaborated with scholars based in China, United States and Hong Kong. Frequent co-authors include M. Andrew Hoyt, W.S. Saunders, Kek Khee Loo, Eric J. Schott, John R. Geiser, Nelson B. Cole, Tami J. Kingsbury, Xinyu Dai, Shujian Huang and Enhong Chen. Their work appears in journals such as Nature Communications, SHILAP Revista de lepidopterología and The Journal of Cell Biology.

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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