Sin‐Jin Lin

828 citations
44 papers · 638 · h-index 13

Impact in

Papers in

Sin‐Jin Lin

41 papers receiving 615 citations

Peers

Sin‐Jin Lin
Comparison fields: 5 of 99
  • Management Science and Operations Research 229
  • Management Information Systems 112
  • Strategy and Management 171
  • Accounting 93
  • Building and Construction 85
Replace Amir Karbassi Yazdi with:
Amir Karbassi Yazdi Iran
Neşe Yalçın Türkiye
Robert K. Perrons Australia
Noura Metawa Egypt
T. Miranda Lakshmi India
Zhong‐Zhong Jiang China
Irina Dijmărescu Romania
Mikael Collan Finland
Çağlar Karamaşa Türkiye
Betty Chang Taiwan
Sin‐Jin Lin relative to Amir Karbassi Yazdi Iran Amir Karbassi Yazdi's profile →
Citations per field
00.5×10.7×
Amir Karbassi Yazdi · 1×
Citations per year

Countries citing papers authored by Sin‐Jin Lin

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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 10 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.

Border = papers with Sin‐Jin Lin Line = papers co-authored together Sin‐Jin Lin links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 44 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201171
2 200962
3 201256
4 201251
5 201246
6 201443
7 201136
8 201132
9 201728
10 201621
11 201818
12 201814
13 201613
14 200912
15 201411
16 201711
17 202111
18 201910
19 20188
20 20108

About Sin‐Jin Lin

Sin‐Jin Lin is a scholar working on Management Science and Operations Research, Accounting, Artificial Intelligence, Strategy and Management and Management Information Systems, having authored 44 papers that have together received 638 indexed citations. Recurring topics across this work include Stock Market Forecasting Methods (13 papers), Financial Distress and Bankruptcy Prediction (11 papers), Efficiency Analysis Using DEA (11 papers), Imbalanced Data Classification Techniques (8 papers), Multi-Criteria Decision Making (7 papers), ERP Systems Implementation and Impact (5 papers), Forecasting Techniques and Applications (4 papers) and Machine Learning and ELM (4 papers). The work is most often cited by research in Management Science and Operations Research (229 citations), Management Information Systems (112 citations), Strategy and Management (171 citations), Accounting (93 citations) and Building and Construction (85 citations). Sin‐Jin Lin has collaborated with scholars based in Taiwan, China and United States. Frequent co-authors include Wen-Hsien Tsai, Ming-Fu Hsu, Te-Min Chang, Jun-Der Leu, Michael J. Shaw, Tai-Ning Yang, Fu-Hsiang Chen, Ching-Chiang Yeh, Jhih‐Hong Zeng and Keng‐Pei Lin. Their work appears in journals such as Journal of Intelligent & Fuzzy Systems, International Journal of Machine Learning and Cybernetics, Expert Systems with Applications, Technological and Economic Development of Economy and Journal of Global Information Management.

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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