Yikun Guo

690 citations
24 papers · 469 · h-index 11

Impact in

Papers in

    • Semantic Web and Ontologies 14
    • Natural Language Processing Techniques 10
    • Topic Modeling 5
    • Algorithms and Data Compression 2
    • Biomedical Text Mining and Ontologies 14

Yikun Guo

23 papers receiving 420 citations

Peers

Yikun Guo
Comparison fields: 5 of 55
  • Artificial Intelligence 307
  • Health Informatics 7
  • Molecular Biology 305
  • Toxicology 14
  • Health Information Management 18
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Citations per field
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Citations per year

Countries citing papers authored by Yikun Guo

Since Specialization
Citations

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

Fields of papers citing papers by Yikun Guo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Yikun Guo, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Yikun Guo Line = papers co-authored together Yikun Guo links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 24 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2009113
2
The CLEF corpus: semantic annotation of clinical text.
200789
3 200938
4 200834
5 200830
6 200826
7 201021
8
Sheffield University and the TREC 2004 Genomics Track: Query Expansion Using Synonymous Terms.
200419
9 201018
10
A Large Scale Terminology Resource for Biomedical Text Processing
200414
11 200812
12
Automatically acquiring a linguistically motivated genic interaction extraction system
200510
13 200810
14
FDU at TREC-9: CLIR, Filtering and QA Tasks.
20006
15 20246
16
FDU at TREC-10: Filtering, QA, Web and Video Tasks
20015
17 20044
18 20243
19 20043
20 20063

About Yikun Guo

Yikun Guo is a scholar working on Artificial Intelligence, Molecular Biology, Information Systems, Genetics and Computer Vision and Pattern Recognition, having authored 24 papers that have together received 469 indexed citations. Recurring topics across this work include Semantic Web and Ontologies (14 papers), Biomedical Text Mining and Ontologies (14 papers), Natural Language Processing Techniques (10 papers), Topic Modeling (5 papers), Genomics and Rare Diseases (2 papers), Data Mining Algorithms and Applications (2 papers), Algorithms and Data Compression (2 papers) and Service-Oriented Architecture and Web Services (2 papers). The work is most often cited by research in Artificial Intelligence (307 citations), Health Informatics (7 citations), Molecular Biology (305 citations), Toxicology (14 citations) and Health Information Management (18 citations). Yikun Guo has collaborated with scholars based in United Kingdom, China and Australia. Frequent co-authors include Robert Gaizauskas, Mark Stevenson, Angus Roberts, Mark Hepple, Ian Roberts, George Demetriou, Andrea Setzer, David Martínez, Henk Harkema and Archana Tapuria. Their work appears in journals such as Journal of Biomedical Informatics, Language Resources and Evaluation, BMC Bioinformatics, Archives of Public Health and Postgraduate Medical Journal.

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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