Ming‐Chin Lin

977 total citations
47 papers, 618 citations indexed

About

Ming‐Chin Lin is a scholar working on Surgery, Epidemiology and Molecular Biology. According to data from OpenAlex, Ming‐Chin Lin has authored 47 papers receiving a total of 618 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Surgery, 10 papers in Epidemiology and 8 papers in Molecular Biology. Recurrent topics in Ming‐Chin Lin's work include Biomedical Text Mining and Ontologies (5 papers), Sepsis Diagnosis and Treatment (5 papers) and Mobile Health and mHealth Applications (5 papers). Ming‐Chin Lin is often cited by papers focused on Biomedical Text Mining and Ontologies (5 papers), Sepsis Diagnosis and Treatment (5 papers) and Mobile Health and mHealth Applications (5 papers). Ming‐Chin Lin collaborates with scholars based in Taiwan, United States and Indonesia. Ming‐Chin Lin's co-authors include Md. Mohaimenul Islam, Tahmina Nasrin Poly, Shih-Kuen Changchien, Yu‐Chuan Li, Hsuan‐Chia Yang, Bruno Walther, Chieh-Chen Wu, Stanley M. Huff, Daniel J. Vreeman and Clement J. McDonald and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and International Journal of Molecular Sciences.

In The Last Decade

Ming‐Chin Lin

46 papers receiving 599 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Ming‐Chin Lin Taiwan 15 134 110 86 81 65 47 618
Chih‐Wei Huang Taiwan 17 97 0.7× 82 0.7× 73 0.8× 86 1.1× 59 0.9× 51 580
Mostafa A. Salama Egypt 14 120 0.9× 117 1.1× 117 1.4× 50 0.6× 63 1.0× 53 1.2k
Katrine Meyer Lauritsen Denmark 12 104 0.8× 226 2.1× 128 1.5× 103 1.3× 49 0.8× 28 661
Elsie Ross United States 14 227 1.7× 104 0.9× 84 1.0× 92 1.1× 148 2.3× 41 657
Ryan Hoffman United States 11 154 1.1× 115 1.0× 47 0.5× 278 3.4× 60 0.9× 29 935
Yiqin Wang China 17 94 0.7× 103 0.9× 59 0.7× 258 3.2× 99 1.5× 133 1.1k
Lei Qin China 14 97 0.7× 95 0.9× 91 1.1× 61 0.8× 86 1.3× 50 597
Yong Mong Bee Singapore 17 123 0.9× 39 0.4× 134 1.6× 116 1.4× 27 0.4× 84 808
Harshit Garg India 14 177 1.3× 55 0.5× 133 1.5× 120 1.5× 109 1.7× 52 689
Salim Janmohamed United Kingdom 9 87 0.6× 93 0.8× 89 1.0× 121 1.5× 19 0.3× 13 684

Countries citing papers authored by Ming‐Chin Lin

Since Specialization
Citations

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

Fields of papers citing papers by Ming‐Chin Lin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

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

This figure shows the co-authorship network connecting the top 25 collaborators of Ming‐Chin Lin. A scholar is included among the top collaborators of Ming‐Chin 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 Ming‐Chin Lin. Ming‐Chin 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.
Chen, Hung‐Yu, et al.. (2024). Do corporate social responsibility activities enhance firm value? An empirical evidence from Taiwan. Cogent Economics & Finance. 12(1). 2 indexed citations
2.
Islam, Md. Mohaimenul, et al.. (2024). Application of AI in Sepsis: Citation Network Analysis and Evidence Synthesis. SHILAP Revista de lepidopterología. 13. e54490–e54490. 3 indexed citations
3.
4.
Masud, Jakir Hossain Bhuiyan, et al.. (2023). Applying Deep Learning Model to Predict Diagnosis Code of Medical Records. Diagnostics. 13(13). 2297–2297. 9 indexed citations
5.
Lee, Shu‐Chun, et al.. (2023). Development and validation of a new tool: The sarcopenia knowledge questionnaire. Geriatric Nursing. 53. 90–95. 5 indexed citations
6.
Lee, Hsun‐Hua, et al.. (2023). Heterogeneity of Alzheimer’s disease identified by neuropsychological test profiling. PLoS ONE. 18(10). e0292527–e0292527. 3 indexed citations
7.
Nguyen, Nhi Thi Hong, Phung‐Anh Nguyen, Chih‐Wei Huang, et al.. (2023). Renin-Angiotensin-Aldosterone System Inhibitors and Development of Gynecologic Cancers: A 23 Million Individual Population-Based Study. International Journal of Molecular Sciences. 24(4). 3814–3814. 9 indexed citations
8.
Islam, Md. Mohaimenul, et al.. (2022). Deep Learning for the Diagnosis of Esophageal Cancer in Endoscopic Images: A Systematic Review and Meta-Analysis. Cancers. 14(23). 5996–5996. 21 indexed citations
9.
Poly, Tahmina Nasrin, Ming‐Chin Lin, Shabbir Syed-Abdul, et al.. (2022). Proton Pump Inhibitor Use and Risk of Gastric Cancer: Current Evidence from Epidemiological Studies and Critical Appraisal. Cancers. 14(13). 3052–3052. 24 indexed citations
10.
Hsu, Chien‐Yeh, Peter Wushou Chang, Anis Fuad, et al.. (2020). Development and validation of an instrument for measuring competencies on public health informatics of primary health care worker (PHIC4PHC) in Indonesia. Primary Health Care Research & Development. 21. e22–e22. 7 indexed citations
11.
Lin, Ming‐Chin, et al.. (2020). The implementation of an integrated e-leprosy framework in a leprosy control program at primary health care centers in Indonesia. International Journal of Medical Informatics. 140. 104155–104155. 9 indexed citations
12.
Islam, Md. Mohaimenul, et al.. (2019). Mutual-Aid Mobile App for Emergency Care: Feasibility Study. JMIR Formative Research. 4(3). e15494–e15494. 3 indexed citations
13.
Hsu, Chien‐Yeh, et al.. (2019). Encouraging On-Time Completion of Leprosy Patients Treatment: Implementing E-Leprosy Framework to Primary Health Care in Indonesia. Asia Pacific Journal of Public Health. 31(4). 296–305. 5 indexed citations
14.
Hsu, Chien‐Yeh, Nurjanah Nurjanah, Peter Wushou Chang, et al.. (2019). Developing an Indonesia's health literacy short-form survey questionnaire (HLS-EU-SQ10-IDN) using the feature selection and genetic algorithm. Computer Methods and Programs in Biomedicine. 182. 105047–105047. 18 indexed citations
15.
Islam, Md. Mohaimenul, Tahmina Nasrin Poly, Bruno Walther, et al.. (2019). Association Between Atrial Fibrillation and Dementia: A Meta-Analysis. Frontiers in Aging Neuroscience. 11. 305–305. 43 indexed citations
16.
Lin, Pei‐Chen, et al.. (2019). A machine learning approach for predicting urine output after fluid administration. Computer Methods and Programs in Biomedicine. 177. 155–159. 21 indexed citations
17.
Lin, Ming‐Chin, et al.. (2018). Mining Medication Behavior of the Completion Leprosy's Multi-Drug Therapy in Indonesia. 271–274. 4 indexed citations
18.
Islam, Md. Mohaimenul, Tahmina Nasrin Poly, Bruno Walther, et al.. (2018). Risk of Hemorrhagic Stroke in Patients Exposed to Nonsteroidal Anti-Inflammatory Drugs: A Meta-Analysis of Observational Studies. Neuroepidemiology. 51(3-4). 166–176. 15 indexed citations
19.
Chen, Jinhua, Yu‐Chun Yen, Shing‐Hwa Liu, et al.. (2016). Outcomes of Induction Chemotherapy for Head and Neck Cancer Patients. Medicine. 95(7). e2845–e2845. 23 indexed citations
20.
Lin, Ming‐Chin, Daniel J. Vreeman, Clement J. McDonald, & Stanley M. Huff. (2010). A Characterization of Local LOINC Mapping for Laboratory Tests in Three Large Institutions. Methods of Information in Medicine. 50(2). 105–114. 30 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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