Ching-Chiang Yeh
- Artificial Intelligence top 5%
- Accounting top 5%
- Management Science and Operations Research top 2%
- Strategy and Management top 10%
- Industrial and Manufacturing Engineering top 5%
- Co-authors
- Der‐Jang ChiFengyi LinYifan ChenMing-Cheng LaiChun-Fu ChenMing-Fu HsuYirong LinChih‐Yu Hsu
- Topics
- Financial Distress and Bankruptcy Prediction (8 papers)Imbalanced Data Classification Techniques (7 papers)Stock Market Forecasting Methods (6 papers)
- Cited by
- AccountingManagement Science and Operations ResearchTourism, Leisure and Hospitality Management
- Journals
- Expert Systems with ApplicationsInformation SciencesTechnological Forecasting and Social Change
- Partner nations
- TaiwanSaudi Arabia
In The Last Decade
Ching-Chiang Yeh
25 papers receiving 971 citations
Peers
Comparison fields: 5 of 96
- Artificial Intelligence 335
- Accounting 308
- Management Science and Operations Research 273
- Strategy and Management 128
- Industrial and Manufacturing Engineering 99
Countries citing papers authored by Ching-Chiang Yeh
This map shows the geographic impact of Ching-Chiang Yeh'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 Ching-Chiang Yeh with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ching-Chiang Yeh more than expected).
Fields of papers citing papers by Ching-Chiang Yeh
This network shows the impact of papers produced by Ching-Chiang Yeh. 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 Ching-Chiang Yeh. The network helps show where Ching-Chiang Yeh may publish in the future.
Co-authorship network of co-authors of Ching-Chiang Yeh
This figure shows the co-authorship network connecting the top 25 collaborators of Ching-Chiang Yeh. A scholar is included among the top collaborators of Ching-Chiang Yeh 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 Ching-Chiang Yeh. Ching-Chiang Yeh is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 4 | |
| 2 | 19 | |
| 3 | 7 | |
| 4 | 136 | |
| 5 | 8 | |
| 6 | 122 | |
| 7 | 19 | |
| 8 | 3 | |
| 9 | 9 | |
| 10 | 9 | |
| 11 | 8 | |
| 12 | 4 | |
| 13 | 90 | |
| 14 | 1 | |
| 15 | 88 | |
| 16 | INTEGRATING THE CART AND SUPPORT VECTOR MACHINES APPROACH FOR INFORMATION DISCLOSURE PREDICTION | 1 |
| 17 | 169 | |
| 18 | 67 | |
| 19 | 133 | |
| 20 | 13 |
About Ching-Chiang Yeh
Ching-Chiang Yeh is a scholar working on Management Science and Operations Research, Accounting and Management of Technology and Innovation, having authored 25 papers that have together received 1.0k indexed citations. Recurring topics across this work include Financial Distress and Bankruptcy Prediction (8 papers), Imbalanced Data Classification Techniques (7 papers) and Stock Market Forecasting Methods (6 papers). The work is most often cited by research in Accounting (308 citations), Management Science and Operations Research (273 citations) and Tourism, Leisure and Hospitality Management (26 citations). Ching-Chiang Yeh has collaborated with scholars based in Taiwan and Saudi Arabia. Frequent co-authors include Der‐Jang Chi, Fengyi Lin, Yifan Chen, Ming-Cheng Lai, Chun-Fu Chen, Ming-Fu Hsu, Yirong Lin, Chih‐Yu Hsu, Jui‐Chieh Huang and Deron Liang. Their work appears in journals such as Expert Systems with Applications, Information Sciences and Technological Forecasting and Social Change.
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.