Qingyu Chen

6.1k citations
134 papers · 3.0k indexed · 1 hit paper · h-index 27

Impact in

    • Artificial Intelligence in Healthcare and Education
    • Retinal Diseases and Treatments
    • Retinal and Optic Conditions

Papers in

    • Artificial Intelligence in Healthcare and Education 10
    • Retinal Diseases and Treatments 14
    • Glaucoma and retinal disorders 8

Qingyu Chen

119 papers receiving 3.0k citations

Hit Papers

GeneGPT: augmenting large language models with domain tools for improved access to biomedical information 2024 · 73 citations
73202420262025204060

Peers

Qingyu Chen
Comparison fields: 5 of 177
  • Health Informatics 244
  • Ophthalmology 392
  • Artificial Intelligence 895
  • Radiology, Nuclear Medicine and Imaging 608
  • Health Information Management 105
Replace Wei Qian with:
Wei Qian China
Wei‐Qi Wei United States
Yifan Peng United States
Folkert W. Asselbergs Netherlands
Ju Han Kim South Korea
Rahul C. Deo United States
Jie Xu China
Khader Shameer United States
Peggy Peissig United States
David Chen United States
Qingyu Chen relative to Wei Qian China Wei Qian's profile →
Citations per field
00.5×3.2×
Wei Qian · 1×
Citations per year

Countries citing papers authored by Qingyu Chen

Since Specialization
Citations

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

Fields of papers citing papers by Qingyu Chen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20252
2 20240
3 20243
4 202410
5 202414
6 202445
7 20240
8 20242
9 20247
10 202321
11 20232
12 202212
13 20223
14 20217
15 202137
16 202063
17 202034
18 202023
19 2020157
20 201611

About Qingyu Chen

Qingyu Chen is a scholar working on Health Informatics, Ophthalmology, Microbiology, Artificial Intelligence and Radiology, Nuclear Medicine and Imaging, having authored 134 papers that have together received 3.0k indexed citations. Recurring topics across this work include Biomedical Text Mining and Ontologies (28 papers), Topic Modeling (23 papers), Retinal Imaging and Analysis (16 papers), Retinal Diseases and Treatments (14 papers), Natural Language Processing Techniques (11 papers), Artificial Intelligence in Healthcare and Education (10 papers), Glaucoma and retinal disorders (8 papers) and Machine Learning in Bioinformatics (7 papers). The work is most often cited by research in Health Informatics (244 citations), Ophthalmology (392 citations), Artificial Intelligence (895 citations), Radiology, Nuclear Medicine and Imaging (608 citations) and Health Information Management (105 citations). Qingyu Chen has collaborated with scholars based in China, United States and Australia. Frequent co-authors include Zhiyong Lu, Alexis Allot, Yifan Peng, Emily Y. Chew, Tiarnán D L Keenan, Yijia Zhang, Hongfei Lin, Zhihao Yang, Elvira Agrón and Qiao Jin. Their work appears in journals such as Nucleic Acids Research, Ophthalmology, npj Digital Medicine, Bioinformatics and Database.

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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