Chen Lin

84 papers receiving 1.2k citations

Peers

Chen Lin
Comparison fields: 5 of 113
  • Rehabilitation 280
  • Internal Medicine 58
  • Neurology 233
  • Epidemiology 393
  • Control and Systems Engineering 144
Replace Jinkwon Kim with:
Jinkwon Kim South Korea
Chih‐Yang Hsu Taiwan
Shin Yi Jang South Korea
Soojin Lee South Korea
Łukasz A. Małek Poland
James D. Maloney United States
Val Nenov United States
Joachim E. Weber Germany
Rohit Bhatia India
Cristina Santonocito Italy
Chen Lin relative to Jinkwon Kim South Korea Jinkwon Kim's profile →
Citations per field
00.5×11.1×
Jinkwon Kim · 1×
Citations per year

Countries citing papers authored by Chen Lin

Since Specialization
Citations

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

Fields of papers citing papers by Chen Lin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 94 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2011228
2 2010149
3 2014126
4 2020106
5 202248
6 201643
7 201434
8 200930
9 201325
10 201424
11
Hemolysis-free plasma miR-214 as novel biomarker of gastric cancer and is correlated with distant metastasis.
201523
12 201720
13 201519
14 202018
15 202018
16 201417
17 201814
18 202114
19 201813
20 201812

About Chen Lin

Chen Lin is a scholar working on Epidemiology, Rehabilitation, Pulmonary and Respiratory Medicine, Electrical and Electronic Engineering and Surgery, having authored 94 papers that have together received 1.2k indexed citations. Recurring topics across this work include Acute Ischemic Stroke Management (18 papers), Stroke Rehabilitation and Recovery (16 papers), Multilevel Inverters and Converters (13 papers), Advanced DC-DC Converters (12 papers), Microgrid Control and Optimization (9 papers), Venous Thromboembolism Diagnosis and Management (7 papers), Cerebrovascular and Carotid Artery Diseases (7 papers) and Central Venous Catheters and Hemodialysis (5 papers). The work is most often cited by research in Rehabilitation (280 citations), Internal Medicine (58 citations), Neurology (233 citations), Epidemiology (393 citations) and Control and Systems Engineering (144 citations). Chen Lin has collaborated with scholars based in China, United States and Philippines. Frequent co-authors include Fenwick T. Nichols, Brian Close, David C. Hess, Kristin Davis, Jeffrey A. Switzer, Askiel Bruno, Vanessa Baute, N.H. Kutkut, Ahmadreza Amirahmadi and Issa Batarseh. Their work appears in journals such as Stroke, IEEE Transactions on Power Electronics, Neurology, Journal of Stroke and Cerebrovascular Diseases and Archives of Physical Medicine and Rehabilitation.

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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