Yan-Jun Chen

1.1k citations
64 papers · 695 · h-index 15

Impact in

Papers in

Yan-Jun Chen

60 papers receiving 657 citations

Peers

Yan-Jun Chen
Comparison fields: 5 of 133
  • Health Informatics 7
  • Anesthesiology and Pain Medicine 28
  • Human-Computer Interaction 26
  • Biomedical Engineering 204
  • Internal Medicine 16
Replace Jonas Kolbenschlag with:
Jonas Kolbenschlag Germany
Marina Torre Italy
Olga D. Savvidou Greece
Ruí Vaz Portugal
Vairavan Narayanan Malaysia
Woo-Suk Lee South Korea
Jae Myeong Lee South Korea
Luwei Liu China
Ralf Skripitz Germany
Deepak Kumar United States
Yan-Jun Chen relative to Jonas Kolbenschlag Germany Jonas Kolbenschlag's profile →
Citations per field
00.5×4.5×
Jonas Kolbenschlag · 1×
Citations per year

Countries citing papers authored by Yan-Jun Chen

Since Specialization
Citations

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

Fields of papers citing papers by Yan-Jun Chen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 64 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2017105
2 202365
3 201634
4 201233
5 202432
6 202030
7 202028
8 201728
9 202127
10 201725
11 201824
12 200923
13 202017
14 202216
15 202315
16 201613
17 201612
18 202311
19 201910
20 20249

About Yan-Jun Chen

Yan-Jun Chen is a scholar working on Surgery, Molecular Biology, Cardiology and Cardiovascular Medicine, Biomedical Engineering and Genetics, having authored 64 papers that have together received 695 indexed citations. Recurring topics across this work include Anesthesia and Pain Management (6 papers), Parkinson's Disease Mechanisms and Treatments (4 papers), Nanofluid Flow and Heat Transfer (4 papers), Cancer, Stress, Anesthesia, and Immune Response (3 papers), Nausea and vomiting management (3 papers), Laser-Matter Interactions and Applications (3 papers), Mesenchymal stem cell research (2 papers) and Acute Myeloid Leukemia Research (2 papers). The work is most often cited by research in Health Informatics (7 citations), Anesthesiology and Pain Medicine (28 citations), Human-Computer Interaction (26 citations), Biomedical Engineering (204 citations) and Internal Medicine (16 citations). Yan-Jun Chen has collaborated with scholars based in China, United States and Taiwan. Frequent co-authors include Zhenhua Liu, Defeng Wang, Wenhua Huang, Xiaodong Zhang, Lin Shi, Hui Lin, Teng Han, Si Chen, Shanshan Yao and Pingyang Wang. Their work appears in journals such as Frontiers in Aging Neuroscience, International Journal of Heat and Mass Transfer, Journal of Clinical Oncology, Cancer and BMC Anesthesiology.

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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