John Li

1.9k citations
43 papers · 1.2k · 1 hit paper · h-index 16

Impact in

    • Hate Speech and Cyberbullying Detection
    • Semantic Web and Ontologies
    • Topic Modeling
    • Natural Language Processing Techniques
  • Catalysis top 10%

Papers in

John Li

40 papers receiving 1.1k citations

John Li's Hit Papers

Measuring and Mitigating Unintended Bias in Text Classification 2018 · 353 citations
3530+2+5Years since publication100200300

Peers

John Li
Comparison fields: 5 of 117
  • Artificial Intelligence 478
  • Catalysis 74
  • Health Informatics 12
  • Civil and Structural Engineering 192
  • Safety Research 61
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Citations per field
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Citations per year

Countries citing papers authored by John Li

Since Specialization
Citations

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

Fields of papers citing papers by John Li

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 43 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Measuring and Mitigating Unintended Bias in Text Classification
Hit paper breakdown →
2018353
2
The Suggested Upper Merged Ontology: A Large Ontology for the Semantic Web and its Applic ations
2002167
3 2005103
4 201879
5 200167
6 201346
7 200543
8
LOM: A Lexicon-based Ontology Mapping Tool
200433
9 201326
10 200424
11 200924
12 201223
13 201222
14 202121
15 201319
16 201415
17 201515
18 202311
19 200411
20 20228

About John Li

John Li is a scholar working on Materials Chemistry, Civil and Structural Engineering, Artificial Intelligence, Computer Vision and Pattern Recognition and Accounting, having authored 43 papers that have together received 1.2k indexed citations. Recurring topics across this work include Advanced Thermoelectric Materials and Devices (9 papers), Thermal Radiation and Cooling Technologies (8 papers), Thermal properties of materials (7 papers), Corporate Finance and Governance (5 papers), Catalytic Processes in Materials Science (4 papers), Corporate Taxation and Avoidance (4 papers), Natural Language Processing Techniques (3 papers) and Semantic Web and Ontologies (3 papers). The work is most often cited by research in Artificial Intelligence (478 citations), Catalysis (74 citations), Health Informatics (12 citations), Civil and Structural Engineering (192 citations) and Safety Research (61 citations). John Li has collaborated with scholars based in United States, Canada and China. Frequent co-authors include Jeffrey Sorensen, Lucy Vasserman, Nithum Thain, Lucas Dixon, Adam Pease, Ian Niles, Bale V. Reddy, Minking K. Chyu, Matthew M. Barry and Longya Xu. Their work appears in journals such as Journal of Heat Transfer, EURASIP Journal on Wireless Communications and Networking, Transfusion Medicine, Numerical Heat Transfer Part A Applications and IEEE Transactions on Parallel and Distributed Systems.

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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