Dan Chen

40 papers receiving 580 citations

Dan Chen's Hit Papers

Ovarian microenvironment: challenges and opportunities in protecting against chemotherapy-associated ovarian damage 2024 · 44 citations
440+1Years since publication10203040

Peers

Dan Chen
Comparison fields: 5 of 119
  • Automotive Engineering 87
  • Electrochemistry 27
  • Control and Systems Engineering 98
  • Safety, Risk, Reliability and Quality 35
  • Hardware and Architecture 21
Replace Dan Jiang with:
Dan Jiang China
Valentina Bianchi Italy
Chunyan Yin United Kingdom
Baojie Li China
Daewon Chung South Korea
Haoran Wei United States
Wuyi Ming China
Yao Wang China
Dan Chen relative to Dan Jiang China Dan Jiang's profile →
Citations per field
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Citations per year

Countries citing papers authored by Dan Chen

Since Specialization
Citations

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

Fields of papers citing papers by Dan Chen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 44 papers — load more, or switch the sort, to bring in the rest.

#Work
1 202288
2 200269
3 202255
4 201251
5
Ovarian microenvironment: challenges and opportunities in protecting against chemotherapy-associated ovarian damage
Hit paper breakdown →
202444
6 202028
7 201324
8 202421
9 202121
10 201919
11 201918
12 202318
13 202218
14 202116
15 201513
16 201313
17 202312
18 202211
19 20248
20 20237

About Dan Chen

Dan Chen is a scholar working on Electrical and Electronic Engineering, Artificial Intelligence, Computer Vision and Pattern Recognition, Mechanical Engineering and Materials Chemistry, having authored 44 papers that have together received 597 indexed citations. Recurring topics across this work include Graph Theory and Algorithms (5 papers), Ferroelectric and Negative Capacitance Devices (4 papers), Advanced Memory and Neural Computing (4 papers), Advanced Graph Neural Networks (4 papers), Data Management and Algorithms (3 papers), Caching and Content Delivery (3 papers), Parallel Computing and Optimization Techniques (3 papers) and High-Temperature Coating Behaviors (2 papers). The work is most often cited by research in Automotive Engineering (87 citations), Electrochemistry (27 citations), Control and Systems Engineering (98 citations), Safety, Risk, Reliability and Quality (35 citations) and Hardware and Architecture (21 citations). Dan Chen has collaborated with scholars based in China, Singapore and Australia. Frequent co-authors include Dale E. Seborg, Ji Wu, Ping Liu, Tianqi Liu, Jiwu Lu, Jinhao Meng, Yu Huang, Xiaofei Liao, Hai Jin and Long Zheng. Their work appears in journals such as IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems, Human Reproduction Update, Acta Physico-Chimica Sinica, International Journal of Surgery and Surfaces and Interfaces.

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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