Han‐Wei Liu

754 citations
45 papers · 466 · h-index 13

Impact in

  • Pharmacology top 10%
    • Medicinal Plant Pharmacodynamics Research
    • Fungal Biology and Applications
    • Ethics and Social Impacts of AI

Papers in

Han‐Wei Liu

35 papers receiving 446 citations

Peers

Han‐Wei Liu
Comparison fields: 5 of 121
  • Pharmacology 52
  • Safety Research 35
  • Health Informatics 5
  • Immunology 65
  • Sensory Systems 12
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David Jones United States
Qianfeng Chen China
John Hill United States
Sharavan Ramachandran United States
Md. Mustafizur Rahman Bangladesh
Heba Handoussa Egypt
Richard Philpot United States
Zhan‐Xin Zhang China
Ishrat Husain India
Liyao Wang China
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Citations per field
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Citations per year

Countries citing papers authored by Han‐Wei Liu

Since Specialization
Citations

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

Fields of papers citing papers by Han‐Wei Liu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Han‐Wei Liu. 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 Han‐Wei Liu. The network helps show where Han‐Wei Liu may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 45 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201973
2 202149
3 201744
4 201229
5 202428
6 201727
7 202325
8 202324
9 200819
10 201217
11 201914
12 200813
13 201613
14 201812
15 201212
16 198412
17 201910
18
Artificial Intelligence and Global Trade Governance: A Pluralist Agenda
20198
19
Two Decades of Laws and Practice Around Screen Scraping in the Common Law World and Its Open Banking Watershed Moment
20205
20 20095

About Han‐Wei Liu

Han‐Wei Liu is a scholar working on Molecular Biology, Political Science and International Relations, Strategy and Management, Law and Artificial Intelligence, having authored 45 papers that have together received 466 indexed citations. Recurring topics across this work include World Trade Organization Law (6 papers), International Arbitration and Investment Law (5 papers), Global trade and economics (4 papers), Aquaculture disease management and microbiota (4 papers), Invertebrate Immune Response Mechanisms (3 papers), Neonatal Health and Biochemistry (3 papers), Heme Oxygenase-1 and Carbon Monoxide (3 papers) and Law, AI, and Intellectual Property (3 papers). The work is most often cited by research in Pharmacology (52 citations), Safety Research (35 citations), Health Informatics (5 citations), Immunology (65 citations) and Sensory Systems (12 citations). Han‐Wei Liu has collaborated with scholars based in China, Taiwan and Australia. Frequent co-authors include Ching-Fu Lin, Yu-Jie Chen, Fei Wang, Jin‐Ming Gao, Lei Liu, Jiong Chen, Ling Hu, Anling Zhang, Shankai Yin and Lu‐Yang Wang. Their work appears in journals such as Journal of International Economic Law, Aquaculture, International Journal of Law and Information Technology, Scientific Reports and Harvard international law 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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