Sunyang Fu

2.3k total citations · 1 hit paper
86 papers, 1.1k citations indexed

About

Sunyang Fu is a scholar working on Artificial Intelligence, Molecular Biology and Health Information Management. According to data from OpenAlex, Sunyang Fu has authored 86 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 40 papers in Artificial Intelligence, 30 papers in Molecular Biology and 16 papers in Health Information Management. Recurrent topics in Sunyang Fu's work include Biomedical Text Mining and Ontologies (27 papers), Machine Learning in Healthcare (20 papers) and Topic Modeling (18 papers). Sunyang Fu is often cited by papers focused on Biomedical Text Mining and Ontologies (27 papers), Machine Learning in Healthcare (20 papers) and Topic Modeling (18 papers). Sunyang Fu collaborates with scholars based in United States, United Kingdom and Germany. Sunyang Fu's 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 and has published in prestigious journals such as Circulation, SHILAP Revista de lepidopterología and Bioinformatics.

In The Last Decade

Sunyang Fu

72 papers receiving 1.1k citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

A framework for human evaluation of large language models in healthcare derived from literature review

2024 77 citations Sunyang Fu, Yanshan Wang et al. npj Digital Medicine profile →

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
Sunyang Fu United States	18	521	259	233	139	115	86	1.1k
Brett K. Beaulieu‐Jones United States	16	624 1.2×	167 0.6×	266 1.1×	170 1.2×	191 1.7×	33	1.4k
Sungrim Moon United States	17	755 1.4×	532 2.1×	155 0.7×	215 1.5×	92 0.8×	48	1.2k
Julian Varghese Germany	16	196 0.4×	190 0.7×	160 0.7×	127 0.9×	95 0.8×	102	972
Benjamin Shickel United States	15	837 1.6×	151 0.6×	288 1.2×	343 2.5×	225 2.0×	58	1.5k
David C. Kale United States	11	467 0.9×	72 0.3×	261 1.1×	179 1.3×	130 1.1×	16	943
Matthew B. A. McDermott United States	12	1.0k 2.0×	327 1.3×	421 1.8×	154 1.1×	316 2.7×	23	1.6k
Saeed Mehrabi United States	9	517 1.0×	337 1.3×	93 0.4×	129 0.9×	90 0.8×	15	796
Stephen Wu United States	20	781 1.5×	612 2.4×	88 0.4×	153 1.1×	82 0.7×	49	1.3k
Nhan Do United States	18	207 0.4×	140 0.5×	88 0.4×	100 0.7×	201 1.7×	85	1.2k
Danielle L. Mowery United States	19	399 0.8×	260 1.0×	68 0.3×	101 0.7×	57 0.5×	73	936

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-authorship network of co-authors of Sunyang Fu

This figure shows the co-authorship network connecting the top 25 collaborators of Sunyang Fu. A scholar is included among the top collaborators of Sunyang Fu based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Sunyang Fu. Sunyang Fu is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

Ruan, Xiaoyang, Sunyang Fu, Kellie L. Mathis, et al.. (2025). Gated recurrent unit with decay has real-time capability for postoperative ileus surveillance and offers cross-hospital transferability. Communications Medicine. 5(1). 331–331.

Fu, Sunyang, Maria Vassilaki, Vipina K. Keloth, et al.. (2024). FedFSA: Hybrid and federated framework for functional status ascertainment across institutions. Journal of Biomedical Informatics. 152. 104623–104623. 4 indexed citations

Faust, Louis, Patrick M. Wilson, Shusaku Asai, et al.. (2024). Considerations for Quality Control Monitoring of Machine Learning Models in Clinical Practice. JMIR Medical Informatics. 12. e50437–e50437. 5 indexed citations

Bhandarkar, Archis R., Ryan Jarrah, Sufyan Ibrahim, et al.. (2023). An Integrated Voice Recognition and Natural Language Processing Platform to Automatically Extract Thoracolumbar Injury Classification Score Features From Radiology Reports. World Neurosurgery. 183. e243–e249. 3 indexed citations

Zong, Nansu, Andrew Wen, Sungrim Moon, et al.. (2022). Computational drug repurposing based on electronic health records: a scoping review. npj Digital Medicine. 5(1). 77–77. 30 indexed citations

Wang, Liwei, Sunyang Fu, Andrew Wen, et al.. (2022). Assessment of Electronic Health Record for Cancer Research and Patient Care Through a Scoping Review of Cancer Natural Language Processing. JCO Clinical Cancer Informatics. 6(6). e2200006–e2200006. 24 indexed citations

Kent, David M., Lester Y. Leung, Andy Wang, et al.. (2022). Development of Parkinson Disease and Its Relationship with Incidentally Discovered White Matter Disease and Covert Brain Infarction in a Real‐World Cohort. Annals of Neurology. 92(4). 620–630. 4 indexed citations

Kent, David M., Lester Y. Leung, Yichen Zhou, et al.. (2022). Association of Incidentally Discovered Covert Cerebrovascular Disease Identified Using Natural Language Processing and Future Dementia. Journal of the American Heart Association. 12(1). e027672–e027672. 10 indexed citations

Fu, Sunyang, Xin Zhang, Guilherme S. Lopes, et al.. (2022). A hybrid model to identify fall occurrence from electronic health records. International Journal of Medical Informatics. 162. 104736–104736. 21 indexed citations

10.

Han, Peijin, Sunyang Fu, Richard E. Hughes, et al.. (2022). Multicenter Validation of Natural Language Processing Algorithms for the Detection of Common Data Elements in Operative Notes for Total Hip Arthroplasty: Algorithm Development and Validation. JMIR Medical Informatics. 10(8). e38155–e38155. 6 indexed citations

11.

Wyles, Cody C., Sunyang Fu, Daniel J. Berry, et al.. (2022). External Validation of Natural Language Processing Algorithms to Extract Common Data Elements in THA Operative Notes. The Journal of Arthroplasty. 38(10). 2081–2084. 13 indexed citations

12.

Ramazanian, Taghi, Ahmad P. Tafti, Sunyang Fu, et al.. (2020). Use of Natural Language Processing Algorithms to Identify Common Data Elements in Operative Notes for Knee Arthroplasty. The Journal of Arthroplasty. 36(3). 922–926. 32 indexed citations

13.

Fu, Sunyang, Cody C. Wyles, Douglas R. Osmon, et al.. (2020). Automated Detection of Periprosthetic Joint Infections and Data Elements Using Natural Language Processing. The Journal of Arthroplasty. 36(2). 688–692. 39 indexed citations

14.

Fu, Sunyang, Guilherme S. Lopes, Sandeep R. Pagali, et al.. (2020). Ascertainment of Delirium Status Using Natural Language Processing From Electronic Health Records. The Journals of Gerontology Series A. 77(3). 524–530. 30 indexed citations

15.

Liu, Sijia, Sunyang Fu, Sungrim Moon, Andrew Wen, & Hongfang Liu. (2020). Predicting Section Location of Clinical Sentences using BERT Encoder - A Pilot Study.. AMIA. 2 indexed citations

16.

Fu, Sunyang, Lester Y. Leung, David F. Kallmes, et al.. (2020). Assessment of the impact of EHR heterogeneity for clinical research through a case study of silent brain infarction. BMC Medical Informatics and Decision Making. 20(1). 60–60. 27 indexed citations

17.

Fu, Sunyang, Lester Y. Leung, Yanshan Wang, et al.. (2019). Natural Language Processing for the Identification of Silent Brain Infarcts From Neuroimaging Reports. JMIR Medical Informatics. 7(2). e12109–e12109. 35 indexed citations

18.

Wyles, Cody C., Meagan E. Tibbo, Sunyang Fu, et al.. (2019). Use of Natural Language Processing Algorithms to Identify Common Data Elements in Operative Notes for Total Hip Arthroplasty. Journal of Bone and Joint Surgery. 101(21). 1931–1938. 53 indexed citations

19.

Tibbo, Meagan E., Cody C. Wyles, Sunyang Fu, et al.. (2019). Use of Natural Language Processing Tools to Identify and Classify Periprosthetic Femur Fractures. The Journal of Arthroplasty. 34(10). 2216–2219. 43 indexed citations

20.

Li, Huihua, et al.. (2013). Using Data Mining to Investigate Dental Cancer Claiming Data. PRZEGLĄD ELEKTROTECHNICZNY. 1 indexed citations

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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