Fangyuan Chen

573 citations
14 papers · 265 indexed · 1 hit paper · h-index 7
Topics
Single-cell and spatial transcriptomics (2 papers)Machine Learning in Healthcare (2 papers)Cancer Cells and Metastasis (2 papers)

In The Last Decade

Fangyuan Chen

12 papers receiving 262 citations

Hit Papers

Matching patients to clinical trials with large language ...2024202620252024255075

Peers

Fangyuan Chen
Comparison fields: 5 of 66
  • Health Informatics 58
  • Artificial Intelligence 55
  • Electrical and Electronic Engineering 54
  • Cancer Research 52
  • Molecular Biology 50
Replace Guangyu Tao with:
Guangyu Tao China
Jaidip Jagtap United States
David Nam United States
Rahaba Marima South Africa
Sungwon Lee South Korea
Xijing Yan China
Manuela Benary Germany
Guangxu Cao China
Hyo Jung Hong South Korea
Sanjay Lakhotia United States
Fangyuan Chen relative to Guangyu Tao China Guangyu Tao's profile →
Citations per field
00.5×6.4×
Guangyu Tao · 1×
Citations per year

Countries citing papers authored by Fangyuan Chen

Since Specialization
Citations

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

Fields of papers citing papers by Fangyuan Chen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Fangyuan Chen

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

All Works

14 of 14 papers shown
#WorkIndexed citations
1 0
2 47
3
Matching patients to clinical trials with large language modelsbreakdown →
78
4 1
5 0
6 1
7 2
8 23
9 24
10 28
11 1
12 53
13 6
14 1

About Fangyuan Chen

Fangyuan Chen is a scholar working on Health Informatics, Oncology and Immunology, having authored 14 papers that have together received 265 indexed citations. Recurring topics across this work include Single-cell and spatial transcriptomics (2 papers), Machine Learning in Healthcare (2 papers) and Cancer Cells and Metastasis (2 papers). The work is most often cited by research in Health Informatics (58 citations), Cancer Research (52 citations) and Family Practice (6 citations). Fangyuan Chen has collaborated with scholars based in China, United States and Germany. Frequent co-authors include Qiao Jin, Zhiyong Lu, Elisabetta Xue, Charalampos S. Floudas, Yifan Yang, Dara Bracken‐Clarke, Jimeng Sun, Feiyu Kang, Steffi Oesterreich and Peng Wang. Their work appears in journals such as Nucleic Acids Research, Circulation and Nature Communications.

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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