Chia-Ying Lin

902 citations
56 papers · 552 indexed · h-index 14

Impact in

Papers in

Chia-Ying Lin

49 papers receiving 548 citations

Peers

Chia-Ying Lin
Comparison fields: 5 of 106
  • Hepatology 49
  • Pulmonary and Respiratory Medicine 201
  • Health Informatics 7
  • Radiology, Nuclear Medicine and Imaging 102
  • Epidemiology 140
Replace Mitchell P. Wilson with:
Mitchell P. Wilson Canada
Eun Hwa Kim South Korea
Daniela Constantinescu Romania
Suzanne Granger United States
Julian Marcon Germany
Aslan Bilici Türkiye
Seung Joon Choi South Korea
Gaëlle Coureau France
Carmen Capito France
Chia-Ying Lin relative to Mitchell P. Wilson Canada Mitchell P. Wilson's profile →
Citations per field
00.5×1.5×2.2×
Mitchell P. Wilson · 1×
Citations per year

Countries citing papers authored by Chia-Ying Lin

Since Specialization
Citations

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

Fields of papers citing papers by Chia-Ying Lin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 56 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201563
2 201837
3 200735
4 202330
5 201925
6 202124
7 201423
8 202022
9 201721
10 201120
11 201918
12 201915
13 201714
14 201913
15 202112
16 202012
17 201911
18 202110
19 202210
20 202110

About Chia-Ying Lin

Chia-Ying Lin is a scholar working on Pulmonary and Respiratory Medicine, Surgery, Radiology, Nuclear Medicine and Imaging, Epidemiology and Oncology, having authored 56 papers that have together received 552 indexed citations. Recurring topics across this work include Lung Cancer Diagnosis and Treatment (9 papers), Radiomics and Machine Learning in Medical Imaging (7 papers), Lung Cancer Treatments and Mutations (5 papers), Neonatal Respiratory Health Research (5 papers), Hepatocellular Carcinoma Treatment and Prognosis (4 papers), COVID-19 diagnosis using AI (4 papers), Meningioma and schwannoma management (4 papers) and Pleural and Pulmonary Diseases (3 papers). The work is most often cited by research in Hepatology (49 citations), Pulmonary and Respiratory Medicine (201 citations), Health Informatics (7 citations), Radiology, Nuclear Medicine and Imaging (102 citations) and Epidemiology (140 citations). Chia-Ying Lin has collaborated with scholars based in Taiwan and United States. Frequent co-authors include Chao‐Chun Chang, Yau‐Lin Tseng, Jui‐Hsing Chang, Chyong-Hsin Hsu, Yi‐Ting Yen, Yi‐Sheng Liu, Wen‐Chun Liu, Jia‐Tsrong Jan, Suh‐Chin Wu and Ming-Tsung Chuang. Their work appears in journals such as Scientific Reports, Cancer Imaging, Frontiers in Medicine, Frontiers in Pediatrics and Medicine.

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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