Huilong Duan

4.7k citations
219 papers · 3.0k indexed · h-index 29
Topics
Biomedical Text Mining and Ontologies (54 papers)Electronic Health Records Systems (30 papers)Machine Learning in Healthcare (30 papers)
Journals
SHILAP Revista de lepidopterologíaPLoS ONECirculation Research

In The Last Decade

Huilong Duan

198 papers receiving 2.9k citations

Peers

Huilong Duan
Comparison fields: 5 of 177
  • Artificial Intelligence 980
  • Molecular Biology 587
  • Health Information Management 477
  • Management Information Systems 373
  • Information Systems 301
Replace Silvana Quaglini with:
Silvana Quaglini Italy
Xudong Lü China
Nilmini Wickramasinghe Australia
Amar K. Das United States
Mor Peleg Israel
Daniel Capurro Australia
Rema Padman United States
Sooyoung Yoo South Korea
Hans‐Ulrich Prokosch Germany
Peter Kokol Slovenia
Huilong Duan relative to Silvana Quaglini Italy Silvana Quaglini's profile →
Citations per field
00.5×1.5×2.5×
Silvana Quaglini · 1×
Citations per year

Countries citing papers authored by Huilong Duan

Since Specialization
Citations

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

Fields of papers citing papers by Huilong Duan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Huilong Duan

This figure shows the co-authorship network connecting the top 25 collaborators of Huilong Duan. A scholar is included among the top collaborators of Huilong Duan 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 Huilong Duan. Huilong Duan is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
#WorkIndexed citations
1 0
2 0
3 7
4 7
5 4
6 6
7 1
8 10
9 1
10 11
11 1
12 4
13 6
14 4
15 7
16 2
17 22
18 21
19 26
20 156

About Huilong Duan

Huilong Duan is a scholar working on Health Information Management, Medical Terminology and Management Information Systems, having authored 219 papers that have together received 3.0k indexed citations. Recurring topics across this work include Biomedical Text Mining and Ontologies (54 papers), Electronic Health Records Systems (30 papers) and Machine Learning in Healthcare (30 papers). The work is most often cited by research in Health Information Management (477 citations), Health Informatics (89 citations) and Management Information Systems (373 citations). Huilong Duan has collaborated with scholars based in China, Netherlands and United States. Frequent co-authors include Zhengxing Huang, Xudong Lü, Wei Dong, Haomin Li, Jiquan Liu, Jiye An, Ning Deng, Lei Ji, Qiang Shu and Weiling Hu. Their work appears in journals such as SHILAP Revista de lepidopterología, PLoS ONE and Circulation Research.

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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