Chin‐Sheng Lin

3.9k total citations · 1 hit paper
143 papers, 2.5k citations indexed

About

Chin‐Sheng Lin is a scholar working on Cardiology and Cardiovascular Medicine, Surgery and Molecular Biology. According to data from OpenAlex, Chin‐Sheng Lin has authored 143 papers receiving a total of 2.5k indexed citations (citations by other indexed papers that have themselves been cited), including 65 papers in Cardiology and Cardiovascular Medicine, 37 papers in Surgery and 22 papers in Molecular Biology. Recurrent topics in Chin‐Sheng Lin's work include Cardiovascular Function and Risk Factors (20 papers), ECG Monitoring and Analysis (17 papers) and Cardiac Imaging and Diagnostics (16 papers). Chin‐Sheng Lin is often cited by papers focused on Cardiovascular Function and Risk Factors (20 papers), ECG Monitoring and Analysis (17 papers) and Cardiac Imaging and Diagnostics (16 papers). Chin‐Sheng Lin collaborates with scholars based in Taiwan, United States and Japan. Chin‐Sheng Lin's co-authors include Cheng‐Li Lin, Chia‐Hung Kao, Sy‐Jou Chen, Chin Lin, Wei‐Shiang Lin, Chia‐Cheng Lee, Chin-Wang Hsu, Shih‐Hua Lin, Carlos Fernández‐Hernando and Leigh Goedeke and has published in prestigious journals such as Circulation, Nature Medicine and SHILAP Revista de lepidopterología.

In The Last Decade

Chin‐Sheng Lin

131 papers receiving 2.5k citations

Hit Papers

AI-enabled electrocardiography alert intervention and all... 2024 2026 2025 2024 10 20 30 40

Peers

Chin‐Sheng Lin
Chin‐Sheng Lin
Citations per year, relative to Chin‐Sheng Lin Chin‐Sheng Lin (= 1×) peers Shenghua Zhou

Countries citing papers authored by Chin‐Sheng Lin

Since Specialization
Citations

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

Fields of papers citing papers by Chin‐Sheng Lin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Chin‐Sheng Lin

This figure shows the co-authorship network connecting the top 25 collaborators of Chin‐Sheng Lin. A scholar is included among the top collaborators of Chin‐Sheng Lin based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Chin‐Sheng Lin. Chin‐Sheng Lin is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Liu, Wencheng, Chin‐Sheng Lin, Wenming Yang, et al.. (2025). Intracellular Galectin-3 as a Crucial Regulator of Foam Cell Formation and Apoptosis Progression Through the Modulation of Membrane Lipid Rafts. Archives of Medical Research. 57(2). 103300–103300.
2.
Lin, Chin, et al.. (2024). Artificial Intelligence-enabled Chest X-ray Classifies Osteoporosis and Identifies Mortality Risk. Journal of Medical Systems. 48(1). 12–12. 13 indexed citations
3.
Lin, Chin‐Sheng, Chin Lin, Wen‐Hui Fang, et al.. (2023). An AI-Enabled Dynamic Risk Stratification for Emergency Department Patients with ECG and CXR Integration. Journal of Medical Systems. 47(1). 81–81. 7 indexed citations
4.
Lou, Yu-Sheng, et al.. (2023). Extensive deep learning model to enhance electrocardiogram application via latent cardiovascular feature extraction from identity identification. Computer Methods and Programs in Biomedicine. 231. 107359–107359. 9 indexed citations
5.
Chen, Hung‐Yi, Chin‐Sheng Lin, Wen‐Hui Fang, et al.. (2022). Artificial Intelligence-Enabled Electrocardiogram Predicted Left Ventricle Diameter as an Independent Risk Factor of Long-Term Cardiovascular Outcome in Patients With Normal Ejection Fraction. Frontiers in Medicine. 9. 870523–870523. 11 indexed citations
6.
Lin, Chin‐Sheng, et al.. (2022). A Deep Learning Algorithm for Detecting Acute Pericarditis by Electrocardiogram. Journal of Personalized Medicine. 12(7). 1150–1150. 15 indexed citations
7.
Lin, Chin‐Sheng, Wen‐Hui Fang, Chia‐Cheng Lee, et al.. (2022). Artificial Intelligence-Enabled Electrocardiography Detects Hypoalbuminemia and Identifies the Mechanism of Hepatorenal and Cardiovascular Events. Frontiers in Cardiovascular Medicine. 9. 895201–895201. 6 indexed citations
8.
Lin, Chin‐Sheng, et al.. (2022). Electrocardiogram-Based Heart Age Estimation by a Deep Learning Model Provides More Information on the Incidence of Cardiovascular Disorders. Frontiers in Cardiovascular Medicine. 9. 754909–754909. 47 indexed citations
9.
Lou, Yu-Sheng, Chin‐Sheng Lin, Wen‐Hui Fang, et al.. (2022). Development and validation of a dynamic deep learning algorithm using electrocardiogram to predict dyskalaemias in patients with multiple visits. European Heart Journal - Digital Health. 4(1). 22–32. 4 indexed citations
10.
Lou, Yu-Sheng, Chin‐Sheng Lin, Wen‐Hui Fang, et al.. (2022). Artificial Intelligence-Enabled Electrocardiogram Estimates Left Atrium Enlargement as a Predictor of Future Cardiovascular Disease. Journal of Personalized Medicine. 12(2). 315–315. 16 indexed citations
11.
Lin, Chin, Chin‐Sheng Lin, Chia‐Cheng Lee, et al.. (2021). Artificial Intelligence–Assisted Electrocardiography for Early Diagnosis of Thyrotoxic Periodic Paralysis. Journal of the Endocrine Society. 5(9). bvab120–bvab120. 19 indexed citations
12.
Lin, Chin‐Sheng, Chin Lin, Wen‐Hui Fang, et al.. (2020). A Deep-Learning Algorithm (ECG12Net) for Detecting Hypokalemia and Hyperkalemia by Electrocardiography: Algorithm Development. JMIR Medical Informatics. 8(3). e15931–e15931. 70 indexed citations
13.
Lin, Chin‐Sheng, Min‐Chien Tsai, Sy‐Jou Chen, et al.. (2019). Pitavastatin Exerts Potent Anti-Inflammatory and Immunomodulatory Effects via the Suppression of AP-1 Signal Transduction in Human T Cells. International Journal of Molecular Sciences. 20(14). 3534–3534. 19 indexed citations
14.
Liao, Wen-I, Chin‐Sheng Lin, Chien‐Hsing Lee, et al.. (2016). An Elevated Glycemic Gap is Associated with Adverse Outcomes in Diabetic Patients with Acute Myocardial Infarction. Scientific Reports. 6(1). 27770–27770. 47 indexed citations
15.
Sung, Chih‐Chien, et al.. (2016). Pyogenic Liver Abscess is Associated With Increased Risk of Acute Kidney Injury. Medicine. 95(3). e2489–e2489. 4 indexed citations
16.
Lin, Wei‐Shiang, Chin‐Sheng Lin, Jun‐Ting Liou, et al.. (2015). Risk of Coronary Artery Disease in Patients With Traumatic Intracranial Hemorrhage. Medicine. 94(50). e2284–e2284. 4 indexed citations
17.
Chen, Sy‐Jou, Chin‐Sheng Lin, Cheng‐Li Lin, & Chia‐Hung Kao. (2015). Osteoporosis Is Associated With High Risk for Coronary Heart Disease. Medicine. 94(27). e1146–e1146. 40 indexed citations
18.
Lin, Chin‐Sheng, Sy‐Jou Chen, Chih‐Chien Sung, et al.. (2015). Hemodialysis Is Associated With Increased Peripheral Artery Occlusive Disease Risk Among Patients With End-Stage Renal Disease. Medicine. 94(28). e1164–e1164. 19 indexed citations
19.
Chen, Sy‐Jou, Chin‐Sheng Lin, Chin‐Wang Hsu, Cheng‐Li Lin, & Chia‐Hung Kao. (2015). Acetaminophen Poisoning and Risk of Acute Pancreatitis. Medicine. 94(29). e1195–e1195. 8 indexed citations
20.
Lin, Chin‐Sheng, Chih‐Jen Cheng, Kuang‐Chung Shih, & Shih‐Hua Lin. (2006). Recurrent hyponatremia in a patient with chronic kidney disease. Journal of Nephrology. 19(3). 394–398. 3 indexed citations

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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