Chin‐Shien Lin

784 total citations
18 papers, 554 citations indexed

About

Chin‐Shien Lin is a scholar working on Management Science and Operations Research, Accounting and Artificial Intelligence. According to data from OpenAlex, Chin‐Shien Lin has authored 18 papers receiving a total of 554 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Management Science and Operations Research, 5 papers in Accounting and 4 papers in Artificial Intelligence. Recurrent topics in Chin‐Shien Lin's work include Corporate Finance and Governance (3 papers), Auction Theory and Applications (3 papers) and Business Strategy and Innovation (2 papers). Chin‐Shien Lin is often cited by papers focused on Corporate Finance and Governance (3 papers), Auction Theory and Applications (3 papers) and Business Strategy and Innovation (2 papers). Chin‐Shien Lin collaborates with scholars based in Taiwan, United States and China. Chin‐Shien Lin's co-authors include Shuchih Ernest Chang, Van Thac Dang, Bintong Chen, Wun-Hwa Chen, Shaio Yan Huang, Tzu‐Ju Ann Peng, Teng‐Fu Hsieh, Yi-Hsin Chen, Daqing Wang and Fang‐Yi Lo and has published in prestigious journals such as Expert Systems with Applications, Medicine and Sustainability.

In The Last Decade

Chin‐Shien Lin

18 papers receiving 504 citations

Peers

Chin‐Shien Lin
Comparison fields: 5 of 79
  • Strategy and Management 193
  • Information Systems 130
  • Accounting 105
  • Marketing 98
  • Computer Networks and Communications 90
Replace Jian Du with:
Jian Du China
Ranjan Dasgupta India
Dan Ma Singapore
Anand S. Kunnathur United States
Se‐Hak Chun South Korea
Hulisi Öğüt Türkiye
Evan E. Anderson United States
Peter Yeoh United Kingdom
She-I Chang Taiwan
Duanning Zhou United States
Jian Du China View profile →
Citations per field, relative to Chin‐Shien Lin
Chin‐Shien Lin · 1×
Citations per year, relative to Chin‐Shien Lin
Chin‐Shien Lin · 1×

Countries citing papers authored by Chin‐Shien Lin

Since Specialization
Citations

This map shows the geographic impact of Chin‐Shien 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‐Shien 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‐Shien Lin more than expected).

Fields of papers citing papers by Chin‐Shien Lin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

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

This figure shows the co-authorship network connecting the top 25 collaborators of Chin‐Shien Lin. A scholar is included among the top collaborators of Chin‐Shien 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‐Shien Lin. Chin‐Shien Lin is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

18 of 18 papers shown
# Work Indexed citations
1 16
2 1
3 5
4 3
5 18
6 147
7 8
8 49
9
A Simulation-Based Model for Final Price Prediction in Online Auctions
3
10 2
11 172
12
An Internal Control Approach to the Construction of a Litigation Warning Model: An Application of Logistic Regression
3
13 7
14
Are Banking Crises Predictable
6
15 4
16
Can the Neuro Fuzzy Model Predict Stock Indexes Better than its Rivals
11
17 45
18 54

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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2026