Yulan He

13.7k total citations · 5 hit papers
230 papers, 8.4k citations indexed

About

Yulan He is a scholar working on Artificial Intelligence, Information Systems and Molecular Biology. According to data from OpenAlex, Yulan He has authored 230 papers receiving a total of 8.4k indexed citations (citations by other indexed papers that have themselves been cited), including 172 papers in Artificial Intelligence, 43 papers in Information Systems and 28 papers in Molecular Biology. Recurrent topics in Yulan He's work include Topic Modeling (120 papers), Sentiment Analysis and Opinion Mining (58 papers) and Advanced Text Analysis Techniques (55 papers). Yulan He is often cited by papers focused on Topic Modeling (120 papers), Sentiment Analysis and Opinion Mining (58 papers) and Advanced Text Analysis Techniques (55 papers). Yulan He collaborates with scholars based in United Kingdom, China and Hong Kong. Yulan He's co-authors include Chenghua Lin, Deyu Zhou, Ruifeng Xu, John A. Di Battista, Harith Alani, Johanne Martel‐Pelletier, Jean‐Pierre Pelletier, François Mineau, Dragan Jovanović and Hassan Saif and has published in prestigious journals such as Journal of Biological Chemistry, Bioinformatics and The Journal of Immunology.

In The Last Decade

Yulan He

207 papers receiving 8.0k citations

Hit Papers

IL-17 stimulates the production and expression of proinfl... 1998 2026 2007 2016 1998 1998 2009 2016 2015 250 500 750

Peers

Yulan He
Comparison fields: 5 of 195
  • Artificial Intelligence 4.8k
  • Information Systems 1.3k
  • Molecular Biology 1.1k
  • Immunology 1.1k
  • Sociology and Political Science 614
Replace Zan Huang with:
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Chul‐Su Yang South Korea
Marcel Reinders Netherlands
James Martin United States
Philip R. Cohen United States
Yin Yang China
Yi Pan United States
Mitsuru Ishizuka Japan
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Ping Luo China
Zan Huang China View profile →
Citations per field, relative to Yulan He
Yulan He · 1×
Citations per year, relative to Yulan He
Yulan He · 1×

Countries citing papers authored by Yulan He

Since Specialization
Citations

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

Fields of papers citing papers by Yulan He

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yulan He

This figure shows the co-authorship network connecting the top 25 collaborators of Yulan He. A scholar is included among the top collaborators of Yulan 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 Yulan He. Yulan 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 1
2 0
3 0
4 0
5 0
6 2
7 0
8 1
9 1
10 18
11 73
12 4
13 72
14 5
15 11
16 23
17
Variational Conditional GAN for Fine-grained Controllable Image Generation
2
18
Detecting expressions of blame or praise in text
1
19
Quantising Opinions for Political Tweets Analysis
18
20
Robustness issues in a data-driven spoken language understanding system
9

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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