Sin‐Jin Lin
Impact in
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- Multi-Criteria Decision Making
- Operations Management Techniques
- Stock Market Forecasting Methods
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- ERP Systems Implementation and Impact
Papers in
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- Stock Market Forecasting Methods 13
- Efficiency Analysis Using DEA 11
- Multi-Criteria Decision Making 7
- Accounting 17
- Financial Distress and Bankruptcy Prediction 11
- Co-authors
- Wen-Hsien Tsai (12 shared papers)Ming-Fu Hsu (9 shared papers)Te-Min Chang (8 shared papers)Michael J. Shaw (1 shared paper)Jun-Der Leu (1 shared paper)Hui-Chiao Chen (1 shared paper)Tai-Ning Yang (1 shared paper)Fu-Hsiang Chen (7 shared papers)
In The Last Decade
Sin‐Jin Lin
42 papers receiving 704 citations
Peers
Comparison fields: 5 of 110
- Management Science and Operations Research 235
- Management Information Systems 118
- Strategy and Management 179
- Accounting 100
- Building and Construction 98
Countries citing papers authored by Sin‐Jin Lin
This map shows the geographic impact of Sin‐Jin 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 Sin‐Jin Lin with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sin‐Jin Lin more than expected).
Fields of papers citing papers by Sin‐Jin Lin
This network shows the impact of papers produced by Sin‐Jin 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 Sin‐Jin Lin. The network helps show where Sin‐Jin Lin may publish in the future.
Co-authors
The 25 scholars most cited alongside Sin‐Jin 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
Showing the 20 most-cited of 45 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2011 | 79 | |
| 2 | 2009 | 66 | |
| 3 | 2012 | 63 | |
| 4 | 2012 | 53 | |
| 5 | 2014 | 52 | |
| 6 | 2012 | 50 | |
| 7 | 2011 | 35 | |
| 8 | 2011 | 32 | |
| 9 | 2017 | 31 | |
| 10 | 2015 | 29 | |
| 11 | 2016 | 26 | |
| 12 | 2018 | 20 | |
| 13 | 2018 | 15 | |
| 14 | 2009 | 15 | |
| 15 | 2017 | 14 | |
| 16 | 2016 | 13 | |
| 17 | 2014 | 12 | |
| 18 | 2021 | 11 | |
| 19 | 2019 | 10 | |
| 20 | 2010 | 8 |
About Sin‐Jin Lin
Sin‐Jin Lin is a scholar working on Management Science and Operations Research, Accounting, Management Information Systems, Strategy and Management and Artificial Intelligence, having authored 45 papers that have together received 727 indexed citations. Recurring topics across this work include Stock Market Forecasting Methods (13 papers), Efficiency Analysis Using DEA (11 papers), Financial Distress and Bankruptcy Prediction (11 papers), Imbalanced Data Classification Techniques (8 papers), Multi-Criteria Decision Making (7 papers), ERP Systems Implementation and Impact (5 papers), Outsourcing and Supply Chain Management (4 papers) and Information Technology Governance and Strategy (4 papers). The work is most often cited by research in Management Science and Operations Research (235 citations), Management Information Systems (118 citations), Strategy and Management (179 citations), Accounting (100 citations) and Building and Construction (98 citations). Sin‐Jin Lin has collaborated with scholars based in Taiwan, China and Yemen. Frequent co-authors include Wen-Hsien Tsai, Ming-Fu Hsu, Te-Min Chang, Michael J. Shaw, Jun-Der Leu, Hui-Chiao Chen, Tai-Ning Yang, Fu-Hsiang Chen, Ching-Chiang Yeh and Ying‐Jung Chen. Their work appears in journals such as Journal of Intelligent & Fuzzy Systems, International Journal of Machine Learning and Cybernetics, Technological and Economic Development of Economy, Expert Systems with Applications and Sustainability.
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.