He Tan

815 citations
48 papers · 618 · h-index 14

Impact in

Papers in

    • Semantic Web and Ontologies 27
    • Natural Language Processing Techniques 8
    • Fuzzy Logic and Control Systems 3
    • Biomedical Text Mining and Ontologies 26
    • Bioinformatics and Genomic Networks 7

He Tan

45 papers receiving 531 citations

Peers

He Tan
Comparison fields: 5 of 58
  • Artificial Intelligence 470
  • Information Systems 260
  • Software 25
  • Molecular Biology 340
  • Management Science and Operations Research 65
Replace Varish Mulwad with:
Varish Mulwad United States
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Saikat Mukherjee United States
Andrei Tamilin Italy
Olaf Noppens Germany
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He Tan relative to Varish Mulwad United States Varish Mulwad's profile →
Citations per field
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Varish Mulwad · 1×
Citations per year

Countries citing papers authored by He Tan

Since Specialization
Citations

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

Fields of papers citing papers by He Tan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside He Tan, 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 He Tan Line = papers co-authored together He Tan links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 48 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2006184
2 200732
3 200728
4 200627
5 200725
6 200924
7
SAMBO and SAMBOdtf results for the ontology alignment evaluation initiative 2008
200824
8 200922
9 200922
10 200720
11 200617
12 201916
13 200516
14
Merging DAML+OIL Ontologies
200415
15
SAMBO results for the ontology alignment evaluation initiative 2007
200713
16
Aligning Biomedical Ontologies
200712
17 201711
18 200410
19 200610
20 20029

About He Tan

He Tan is a scholar working on Artificial Intelligence, Molecular Biology, Information Systems, Computer Networks and Communications and Software, having authored 48 papers that have together received 618 indexed citations. Recurring topics across this work include Semantic Web and Ontologies (27 papers), Biomedical Text Mining and Ontologies (26 papers), Service-Oriented Architecture and Web Services (9 papers), Natural Language Processing Techniques (8 papers), Bioinformatics and Genomic Networks (7 papers), Scientific Computing and Data Management (4 papers), Software Testing and Debugging Techniques (4 papers) and Fuzzy Logic and Control Systems (3 papers). The work is most often cited by research in Artificial Intelligence (470 citations), Information Systems (260 citations), Software (25 citations), Molecular Biology (340 citations) and Management Science and Operations Research (65 citations). He Tan has collaborated with scholars based in Sweden, Malaysia and Zambia. Frequent co-authors include Patrick Lambrix, Lena Strömbäck, Anders Adlemo, Qiang Liu, Qiang Liu, Anders E. W. Jarfors, Nasrudin Abd Rahim, W.P. Hew, Salem Seifeddine and Bi Yu Chen. Their work appears in journals such as Semantic Web, Lecture notes in computer science, Journal of Web Semantics, ACS Omega and The International Journal of Advanced Manufacturing Technology.

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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