Yu-Kai Lin
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- Electronic Health Records Systems 5
- Management Information Systems top 10%
- Big Data and Business Intelligence 2
- Computer Science Applications top 10%
- Open Source Software Innovations 3
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- Quality and Safety in Healthcare 2
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- Intellectual Property and Patents 4
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- Machine Learning in Healthcare 3
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- Innovation Policy and R&D 3
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- Private Equity and Venture Capital 3
- Co-authors
- Hsinchun ChenRandall A. BrownHung‐Jen YangShu‐Hsing LiMingfeng LinLikoebe M. MarupingShih‐Fang ChenArun Rai
- Journals
- Information Systems Research (3 papers)Journal of the Association for Information Systems (2 papers)Journal of Management Information Systems (2 papers)
- Partner nations
- United StatesTaiwanChina
In The Last Decade
Yu-Kai Lin
22 papers receiving 419 citations
Peers
Comparison fields: 5 of 106
- Health Information Management 75
- Management Information Systems 71
- Health Informatics 8
- Computer Science Applications 25
- Medical Laboratory Technology 7
Countries citing papers authored by Yu-Kai Lin
This map shows the geographic impact of Yu-Kai 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 Yu-Kai Lin with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yu-Kai Lin more than expected).
Fields of papers citing papers by Yu-Kai Lin
This network shows the impact of papers produced by Yu-Kai 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 Yu-Kai Lin. The network helps show where Yu-Kai Lin may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Yu-Kai Lin, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2024 | 4 | |
| 2 | 2024 | 0 | |
| 3 | 2023 | 1 | |
| 4 | 2021 | 36 | |
| 5 | 2021 | 11 | |
| 6 | 2021 | 10 | |
| 7 | 2020 | 0 | |
| 8 | 2020 | 8 | |
| 9 | 2019 | 22 | |
| 10 | 2019 | 61 | |
| 11 | 2018 | 1 | |
| 12 | 2017 | 111 | |
| 13 | 2016 | 65 | |
| 14 | 2014 | 8 | |
| 15 | 2013 | 38 | |
| 16 | 2012 | 0 | |
| 17 | 2010 | 0 | |
| 18 | DERIVING TECHNOLOGY ROADMAPS WITH TECH MINING TECHNIQUES | 2008 | 3 |
| 19 | 2004 | 1 | |
| 20 | 1986 | 24 |
About Yu-Kai Lin
Yu-Kai Lin is a scholar working on Health Information Management, Medical Laboratory Technology, Management of Technology and Innovation, Computer Science Applications and Management Information Systems, having authored 27 papers that have together received 437 indexed citations. Recurring topics across this work include Electronic Health Records Systems (5 papers), Intellectual Property and Patents (4 papers), Machine Learning in Healthcare (3 papers), Open Source Software Innovations (3 papers), Innovation Policy and R&D (3 papers), Private Equity and Venture Capital (3 papers), Big Data and Business Intelligence (2 papers) and Quality and Safety in Healthcare (2 papers). The work is most often cited by research in Health Information Management (75 citations), Management Information Systems (71 citations), Health Informatics (8 citations), Computer Science Applications (25 citations) and Medical Laboratory Technology (7 citations). Yu-Kai Lin has collaborated with scholars based in United States, Taiwan and China. Frequent co-authors include Hsinchun Chen, Randall A. Brown, Hung‐Jen Yang, Shu‐Hsing Li, Mingfeng Lin, Hsinchun Chen, Likoebe M. Maruping, Shih‐Fang Chen, Arun Rai and Y. S. Chow. Their work appears in journals such as Information Systems Research, Journal of the Association for Information Systems, Journal of Management Information Systems, MIS Quarterly and Computers and Electronics in Agriculture.
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.