Wei‐Chen Lin

2.8k citations
88 papers · 1.8k indexed · h-index 19

Wei‐Chen Lin

79 papers receiving 1.7k citations

Peers

Wei‐Chen Lin
Comparison fields: 5 of 128
  • Applied Psychology 138
  • Cognitive Neuroscience 329
  • Genetics 171
  • Sociology and Political Science 590
  • Experimental and Cognitive Psychology 171
Replace Yan Zhou with:
Yan Zhou China
Gin‐Chung Liu Taiwan
Jianrong Xu China
Kristina K. Hardy United States
Fuchun Lin China
Edward Hoffman United States
Xiaoyan Ke China
Prashni Paliwal United States
Jianping Hu China
Valerie Johnson United States
Wei‐Chen Lin relative to Yan Zhou China Yan Zhou's profile →
Citations per field
00.5×1.6×
Yan Zhou · 1×
Citations per year

Countries citing papers authored by Wei‐Chen Lin

Since Specialization
Citations

This map shows the geographic impact of Wei‐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 Wei‐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 Wei‐Chen Lin more than expected).

Fields of papers citing papers by Wei‐Chen Lin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20251
2 20250
3 20250
4 20242
5 20248
6 20236
7 20232
8 20220
9 202024
10 202015
11 201723
12 201717
13 20151
14 201428
15 201433
16
Stent-Graft Treatment of Iatrogenic Vertebral Artery Pseudoaneurysm and Arteriovenous Fistula
20131
17 20139
18 200510
19
Rhinocerebral Mucormycosis: How Proton MR Spectroscopy Assisted Diagnosis of Acute Infarction Superimposed with Cerebritis
20041
20
Variant of Persistent Primitive Trigeminal Artery Associated with Giant Internal Carotid Artery Pseudoaneurysm
20011

About Wei‐Chen Lin

Wei‐Chen Lin is a scholar working on Neurology, Gastroenterology, Surgery, Genetics and Pulmonary and Respiratory Medicine, having authored 88 papers that have together received 1.8k indexed citations. Recurring topics across this work include Inflammatory Bowel Disease (12 papers), Microscopic Colitis (9 papers), Intracranial Aneurysms: Treatment and Complications (6 papers), Vascular Malformations Diagnosis and Treatment (5 papers), Intracerebral and Subarachnoid Hemorrhage Research (4 papers), Cerebrovascular and Carotid Artery Diseases (4 papers), Advanced Neuroimaging Techniques and Applications (4 papers) and Impact of Technology on Adolescents (4 papers). The work is most often cited by research in Applied Psychology (138 citations), Cognitive Neuroscience (329 citations), Genetics (171 citations), Sociology and Political Science (590 citations) and Experimental and Cognitive Psychology (171 citations). Wei‐Chen Lin has collaborated with scholars based in Taiwan, United States and China. Frequent co-authors include Gin‐Chung Liu, Ju‐Yu Yen, Chih‐Hung Ko, Cheng‐Fang Yen, Cheng‐Sheng Chen, Ming‐Jen Yang, Sigmund Hsiao, I‐Chan Chiang, Yu‐Ting Kuo and Chia‐Ying Lu. Their work appears in journals such as Medicine, Journal of Psychiatric Research, PLoS ONE, Critical Reviews in Oncology/Hematology and Journal of Child Neurology.

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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