Chia-Ying Lin

942 citations
56 papers · 584 · h-index 14

Impact in

Papers in

Chia-Ying Lin

50 papers receiving 580 citations

Peers

Chia-Ying Lin
Comparison fields: 5 of 105
  • Hepatology 49
  • Pulmonary and Respiratory Medicine 148
  • Epidemiology 123
  • Health Informatics 5
  • Radiology, Nuclear Medicine and Imaging 72
Replace Kinga Karlinger with:
Kinga Karlinger Hungary
Aslan Bilici Türkiye
Jin-Hee Oh South Korea
Julian Marcon Germany
Sherri Flax United States
M. Winkler Germany
Paisarn Vejchapipat Thailand
Lee Ty Taiwan
Faeze Salahshour Iran
Linda Ding United States
Chia-Ying Lin relative to Kinga Karlinger Hungary Kinga Karlinger's profile →
Citations per field
00.5×4.5×
Kinga Karlinger · 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 201564
2 200738
3 201837
4 202336
5 201925
6 202124
7 201424
8 202023
9 201122
10 201721
11 201920
12 201916
13 201916
14 201715
15 202112
16 202012
17 201911
18 202211
19 202110
20 202110

About Chia-Ying Lin

Chia-Ying Lin is a scholar working on Pulmonary and Respiratory Medicine, Epidemiology, Neurology, Radiology, Nuclear Medicine and Imaging and Oncology, having authored 56 papers that have together received 584 indexed citations. Recurring topics across this work include Lung Cancer Diagnosis and Treatment (8 papers), Lung Cancer Treatments and Mutations (5 papers), Hepatocellular Carcinoma Treatment and Prognosis (4 papers), Radiomics and Machine Learning in Medical Imaging (4 papers), Myasthenia Gravis and Thymoma (3 papers), Pleural and Pulmonary Diseases (3 papers), Peptidase Inhibition and Analysis (2 papers) and Interstitial Lung Diseases and Idiopathic Pulmonary Fibrosis (2 papers). The work is most often cited by research in Hepatology (49 citations), Pulmonary and Respiratory Medicine (148 citations), Epidemiology (123 citations), Health Informatics (5 citations) and Radiology, Nuclear Medicine and Imaging (72 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‐Sheng Liu, Yi‐Ting Yen, Ming-Tsung Chuang, Wen‐Chun Liu, Suh‐Chin Wu and Jia‐Tsrong Jan. 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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