Fangmin Chen

2.5k citations
80 papers · 1.9k · 1 hit paper · h-index 24

Impact in

Papers in

Fangmin Chen

76 papers receiving 1.9k citations

Fangmin Chen's Hit Papers

Residual Local Feature Network for Efficient Super-Resolution 2022 · 139 citations
1390+1+2Years since publication4080120

Peers

Fangmin Chen
Comparison fields: 5 of 141
  • Pollution 486
  • Industrial and Manufacturing Engineering 283
  • Biomaterials 234
  • Immunology 341
  • Biomedical Engineering 490
Replace Min Kim with:
Min Kim South Korea
Xiaozhen Chen China
Qingpeng Wang China
Ma China
Jianhong Shi China
A. S. Vickram India
Fei Chen China
Yuanyuan Guo China
Luping Chen China
Jason E. Swain United States
Fangmin Chen relative to Min Kim South Korea Min Kim's profile →
Citations per field
00.5×7.7×
Min Kim · 1×
Citations per year

Countries citing papers authored by Fangmin Chen

Since Specialization
Citations

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

Fields of papers citing papers by Fangmin Chen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 80 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2019158
2
Residual Local Feature Network for Efficient Super-Resolution
Hit paper breakdown →
2022139
3 2020135
4 2021131
5 2018122
6 202293
7 200582
8 202369
9 202157
10 201950
11 201549
12 202048
13 202147
14 201945
15 201945
16 202236
17 202233
18
The change tendency of PI3K/Akt pathway after spinal cord injury.
201531
19 200629
20 202028

About Fangmin Chen

Fangmin Chen is a scholar working on Biomedical Engineering, Immunology, Molecular Biology, Oncology and Pulmonary and Respiratory Medicine, having authored 80 papers that have together received 1.9k indexed citations. Recurring topics across this work include Nanoplatforms for cancer theranostics (15 papers), Immunotherapy and Immune Responses (11 papers), Cancer Immunotherapy and Biomarkers (7 papers), Immune cells in cancer (7 papers), Nanoparticle-Based Drug Delivery (5 papers), RNA Interference and Gene Delivery (5 papers), Metal-Organic Frameworks: Synthesis and Applications (4 papers) and Renal cell carcinoma treatment (3 papers). The work is most often cited by research in Pollution (486 citations), Industrial and Manufacturing Engineering (283 citations), Biomaterials (234 citations), Immunology (341 citations) and Biomedical Engineering (490 citations). Fangmin Chen has collaborated with scholars based in China, United States and New Zealand. Frequent co-authors include Haijun Yu, Xinyao Yang, Yuesuo Yang, Yan Yuan, Yong Huang, Xiang Li, Ying Zhao, Tianliang Li, Madiha Saeed and Weiqi Wang. Their work appears in journals such as Scientific Reports, Nano Today, Acta Pharmaceutica Sinica B, Nature Communications and Asian Journal of Pharmaceutical Sciences.

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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