Honghao Lai

39 papers receiving 456 citations

Honghao Lai's Hit Papers

Assessing the Risk of Bias in Randomized Clinical Trials With Large Language Models 2024 · 53 citations
530+1Years since publication1020304050

Peers

Honghao Lai
Comparison fields: 5 of 91
  • Health Informatics 17
  • Complementary and alternative medicine 31
  • Infectious Diseases 55
  • Periodontics 13
  • Epidemiology 88
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Kelu Yang China
Koichi Murashita Japan
Michal Rein Israel
Rana Hasanato Saudi Arabia
Richa Singhal India
Hamidreza Abtahi Iran
Krishna Seshadri India
Shengshu Wang China
Antonio Corsello Italy
Yuhui Liang China
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Countries citing papers authored by Honghao Lai

Since Specialization
Citations

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

Fields of papers citing papers by Honghao Lai

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 44 papers — load more, or switch the sort, to bring in the rest.

#Work
1 202365
2
Assessing the Risk of Bias in Randomized Clinical Trials With Large Language Models
Hit paper breakdown →
202453
3 202153
4 202240
5 202327
6 202127
7 202324
8 202221
9 202320
10 202317
11 202214
12 202414
13 202310
14 202210
15 20228
16 20246
17 20245
18 20245
19 20225
20 20235

About Honghao Lai

Honghao Lai is a scholar working on Infectious Diseases, Public Health, Environmental and Occupational Health, Complementary and alternative medicine, Neurology and Epidemiology, having authored 44 papers that have together received 465 indexed citations. Recurring topics across this work include COVID-19 Clinical Research Studies (5 papers), Meta-analysis and systematic reviews (4 papers), Pelvic floor disorders treatments (3 papers), Traditional Chinese Medicine Studies (3 papers), Artificial Intelligence in Healthcare and Education (3 papers), Long-Term Effects of COVID-19 (3 papers), Sleep and related disorders (3 papers) and Clinical practice guidelines implementation (3 papers). The work is most often cited by research in Health Informatics (17 citations), Complementary and alternative medicine (31 citations), Infectious Diseases (55 citations), Periodontics (13 citations) and Epidemiology (88 citations). Honghao Lai has collaborated with scholars based in China, Canada and Switzerland. Frequent co-authors include Long Ge, Jinhui Tian, Mingyao Sun, Bei Pan, Kehu Yang, Sheng Li, Zhigang Zhang, Qiuyu Yang, Hongfei Zhu and Qi Wang. Their work appears in journals such as Journal of Ethnopharmacology, Frontiers in Pharmacology, JAMA Network Open, Critical Reviews in Food Science and Nutrition and International Journal of Surgery.

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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