Ruilong Dan

473 citations
2 papers · 267 · 1 hit paper · h-index 2

Impact in

Papers in

Ruilong Dan

2 papers receiving 255 citations

Ruilong Dan's Hit Papers

ChatDoctor: A Medical Chat Model Fine-Tuned on a Large Language Model Meta-AI (LLaMA) Using Medical Domain Knowledge 2023 · 262 citations
2620+1+2Years since publication50100150200250

Peers

Ruilong Dan
Comparison fields: 5 of 70
  • Health Informatics 95
  • Health Information Management 23
  • Artificial Intelligence 135
  • Family Practice 4
  • Radiology, Nuclear Medicine and Imaging 36
Replace Kaleb E. Smith with:
Kaleb E. Smith United States
Stefan Hegselmann Germany
Sarvesh Soni United States
Ziyang Xu United States
Jennifer J. Liang United States
Elisa Nguyen Germany
Jason Mancuso Germany
Valentin Liévin Denmark
Hameed A. Younis Iraq
Joseph C. Nichols United States
Ruilong Dan relative to Kaleb E. Smith United States Kaleb E. Smith's profile →
Citations per field
00.5×3.3×
Kaleb E. Smith · 1×
Citations per year

Countries citing papers authored by Ruilong Dan

Since Specialization
Citations

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

Fields of papers citing papers by Ruilong Dan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 14 scholars most cited alongside Ruilong Dan, 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 Ruilong Dan Line = papers co-authored together Ruilong Dan links everyone, so they are left out of the graph.

All Works

2 of 2 papers shown
#Work
1
ChatDoctor: A Medical Chat Model Fine-Tuned on a Large Language Model Meta-AI (LLaMA) Using Medical Domain Knowledge
Hit paper breakdown →
2023262
2 20235

About Ruilong Dan

Ruilong Dan is a scholar working on Dermatology, Ophthalmology, Health Informatics, Artificial Intelligence and Public Health, Environmental and Occupational Health, having authored 2 papers that have together received 267 indexed citations. Recurring topics across this work include Artificial Intelligence in Healthcare and Education (1 paper), Facial Rejuvenation and Surgery Techniques (1 paper), Retinal Imaging and Analysis (1 paper), AI in cancer detection (1 paper), Retinal and Optic Conditions (1 paper) and Ethics in Clinical Research (1 paper). The work is most often cited by research in Health Informatics (95 citations), Health Information Management (23 citations), Artificial Intelligence (135 citations), Family Practice (4 citations) and Radiology, Nuclear Medicine and Imaging (36 citations). Ruilong Dan has collaborated with scholars based in China, Switzerland and Japan. Frequent co-authors include Yunxiang Li, Steve Jiang, Kai Zhang, Zihan Li, You Zhang, Gangyong Jia, Yaqi Wang, Juan Ye, Lixia Lou and Xiao-Diao Chen. Their work appears in journals such as Expert Systems with Applications and Cureus.

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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