Sunyang Fu

72 papers receiving 1.1k citations

Hit Papers

A framework for human evaluation of large language models in healthcare derived from literature review 2024 · 77 citations
77202420262025255075

Peers

Sunyang Fu
Comparison fields: 5 of 112
  • Health Informatics 233
  • Health Information Management 139
  • Artificial Intelligence 521
  • Issues, ethics and legal aspects 14
  • Critical Care and Intensive Care Medicine 36
Replace Dmitriy Dligach with:
Dmitriy Dligach United States
Andrew Wen United States
Benjamin Shickel United States
Danielle L. Mowery United States
Jason Hom United States
Marshall Nichols United States
Ilse Kant Netherlands
Stephen Wu United States
Rishikesan Kamaleswaran United States
Christopher Sharp United States
Sunyang Fu relative to Dmitriy Dligach United States Dmitriy Dligach's profile →
Citations per field
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Citations per year

Countries citing papers authored by Sunyang Fu

Since Specialization
Citations

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

Fields of papers citing papers by Sunyang Fu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 86 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2020109
2 201982
3 201878
4
A framework for human evaluation of large language models in healthcare derived from literature review
Hit paper breakdown →
202477
5 201953
6 201943
7 202039
8 201935
9 202035
10 202032
11 202230
12 202030
13 202027
14 202224
15 202221
16 202121
17 202121
18 201817
19 202216
20 202213

About Sunyang Fu

Sunyang Fu is a scholar working on Health Information Management, Health Informatics, Artificial Intelligence, Issues, ethics and legal aspects and Critical Care and Intensive Care Medicine, having authored 86 papers that have together received 1.1k indexed citations. Recurring topics across this work include Biomedical Text Mining and Ontologies (27 papers), Machine Learning in Healthcare (20 papers), Topic Modeling (18 papers), Electronic Health Records Systems (11 papers), Dementia and Cognitive Impairment Research (10 papers), Acute Ischemic Stroke Management (9 papers), Natural Language Processing Techniques (8 papers) and Artificial Intelligence in Healthcare (5 papers). The work is most often cited by research in Health Informatics (233 citations), Health Information Management (139 citations), Artificial Intelligence (521 citations), Issues, ethics and legal aspects (14 citations) and Critical Care and Intensive Care Medicine (36 citations). Sunyang Fu has collaborated with scholars based in United States, United Kingdom and Taiwan. Frequent co-authors include Hongfang Liu, Sunghwan Sohn, Yanshan Wang, Andrew Wen, Liwei Wang, Feichen Shen, Sijia Liu, Sungrim Moon, Hilal Maradit Kremers and David G. Lewallen. Their work appears in journals such as npj Digital Medicine, The Journal of Arthroplasty, Journal of Biomedical Informatics, Journal of the American Medical Informatics Association and BMC Medical Informatics and Decision Making.

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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