Hai Wan

877 citations
61 papers · 468 · h-index 10

Impact in

    • Topic Modeling
    • Sentiment Analysis and Opinion Mining
    • Advanced Graph Neural Networks
    • Advanced Text Analysis Techniques
    • Natural Language Processing Techniques
    • Text and Document Classification Technologies

Papers in

    • Logic, Reasoning, and Knowledge 12
    • Topic Modeling 11
    • Natural Language Processing Techniques 9
    • Semantic Web and Ontologies 9
    • Multi-Agent Systems and Negotiation 7
    • Logic, programming, and type systems 6
    • AI-based Problem Solving and Planning 5
    • Formal Methods in Verification 7

Hai Wan

48 papers receiving 455 citations

Peers

Hai Wan
Comparison fields: 5 of 63
  • Artificial Intelligence 352
  • Software 18
  • Computer Vision and Pattern Recognition 87
  • Management Science and Operations Research 37
  • Computational Theory and Mathematics 31
Replace Vipin Tiwari with:
Vipin Tiwari India
Jason Wolfe United States
Qingxiu Dong China
Ben Athiwaratkun United States
Jiajun Shen China
Yanxiang Huang Belgium
Emmanouil Antonios Platanios United States
Luyu Gao United States
Hai Wan relative to Vipin Tiwari India Vipin Tiwari's profile →
Citations per field
00.5×4.1×
Vipin Tiwari · 1×
Citations per year

Countries citing papers authored by Hai Wan

Since Specialization
Citations

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

Fields of papers citing papers by Hai Wan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 61 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2020113
2 2015104
3 201844
4 202218
5 201815
6 202015
7 202314
8 202113
9 201913
10 202411
11
A complete epistemic planner without the epistemic closed world assumption
20159
12 20219
13 20217
14 20226
15 20216
16 20225
17 20245
18 20205
19 20244
20 20244

About Hai Wan

Hai Wan is a scholar working on Artificial Intelligence, Computational Theory and Mathematics, Information Systems, Computer Vision and Pattern Recognition and Computer Networks and Communications, having authored 61 papers that have together received 468 indexed citations. Recurring topics across this work include Logic, Reasoning, and Knowledge (12 papers), Topic Modeling (11 papers), Natural Language Processing Techniques (9 papers), Semantic Web and Ontologies (9 papers), Multi-Agent Systems and Negotiation (7 papers), Formal Methods in Verification (7 papers), Logic, programming, and type systems (6 papers) and AI-based Problem Solving and Planning (5 papers). The work is most often cited by research in Artificial Intelligence (352 citations), Software (18 citations), Computer Vision and Pattern Recognition (87 citations), Management Science and Operations Research (37 citations) and Computational Theory and Mathematics (31 citations). Hai Wan has collaborated with scholars based in China, Australia and United Kingdom. Frequent co-authors include Jianfeng Du, Jeff Z. Pan, Jianwen Zhang, Zheng Chen, Yufei Yang, Zhen Wang, Yanan Liu, Wei‐Shi Zheng, Feiyue Huang and Ancong Wu. Their work appears in journals such as IEEE Transactions on Knowledge and Data Engineering, Artificial Intelligence, Big Data Research, Carbohydrate Polymers and Chemical Engineering 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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