Ching-Chiang Yeh
About
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
| # | Title | Journal | Authors | Indexed citations |
|---|---|---|---|---|
| 1 | Applying the Multi-Criteria Decision-Making Approach for Lawyer Selection from Law Firms’ Perspective in China | Mathematics | Chin‐Tsai Lin, Ching-Chiang Yeh et al. | 4 |
| 2 | Understanding the decision rules for 3D printing adoption | Technology Analysis and Strategic Management | Ching-Chiang Yeh et al. | 19 |
| 3 | Mining the Student Dropout in Higher Education | Journal of Testing and Evaluation | Ching-Chiang Yeh et al. | 7 |
| 4 | Critical success factors for adoption of 3D printing | Technological Forecasting and Social Change | Ching-Chiang Yeh, Yifan Chen | 136 |
| 5 | Integrating dynamic Malmquist DEA and social network computing for advanced management decisions | Journal of Intelligent & Fuzzy Systems | Ching-Chiang Yeh, Sin‐Jin Lin et al. | 8 |
| 6 | Understanding the factors affecting the adoption of the Internet of Things | Technology Analysis and Strategic Management | Ching-Chiang Yeh et al. | 122 |
| 7 | A Hybrid Detecting Fraudulent Financial Statements Model Using Rough Set Theory and Support Vector Machines | Cybernetics & Systems | Ching-Chiang Yeh, Der‐Jang Chi et al. | 19 |
| 8 | CRITICAL SUCCESS FACTORS IN DIGITAL PUBLISHING TECHNOLOGY USING AN ANP APPROACH | Technological and Economic Development of Economy | Ching-Chiang Yeh, Ming-Cheng Lai et al. | 3 |
| 9 | USING A HYBRID MODEL TO EVALUATE DEVELOPMENT STRATEGIES FOR DIGITAL CONTENT | Technological and Economic Development of Economy | Ching-Chiang Yeh | 9 |
| 10 | Online word-of-mouth as a predictor of television rating | Online Information Review | Ching-Chiang Yeh | 9 |
| 11 | SUPPLIER SELECTION USING A HYBRID MODEL FOR 3C INDUSTRY | Journal of Business Economics and Management | Ching-Chiang Yeh et al. | 8 |
| 12 | A Hybrid Model by Empirical Mode Decomposition and Support Vector Regression for Tourist Arrivals Forecasting | Journal of Testing and Evaluation | Ming-Cheng Lai, Ching-Chiang Yeh et al. | 4 |
| 13 | Going-concern prediction using hybrid random forests and rough set approach | Information Sciences | Ching-Chiang Yeh, Der‐Jang Chi et al. | 90 |
| 14 | Forecasting the output of Taiwan's integrated circuit (IC) industry using empirical mode decomposition and support vector machines | International Journal of the Physical Sciences | Ching-Chiang Yeh et al. | 1 |
| 15 | A hybrid KMV model, random forests and rough set theory approach for credit rating | Knowledge-Based Systems | Ching-Chiang Yeh, Fengyi Lin et al. | 88 |
| 16 | INTEGRATING THE CART AND SUPPORT VECTOR MACHINES APPROACH FOR INFORMATION DISCLOSURE PREDICTION | Der‐Jang Chi, Ching-Chiang Yeh et al. | 1 | |
| 17 | Forecasting tourism demand based on empirical mode decomposition and neural network | Knowledge-Based Systems | Chun-Fu Chen, Ming-Cheng Lai et al. | 169 |
| 18 | The use of hybrid manifold learning and support vector machines in the prediction of business failure | Knowledge-Based Systems | Fengyi Lin, Ching-Chiang Yeh et al. | 67 |
| 19 | A hybrid approach of DEA, rough set and support vector machines for business failure prediction | Expert Systems with Applications | Ching-Chiang Yeh, Der‐Jang Chi et al. | 133 |
| 20 | The Taiwan system of innovation in the tool machine industry: a case study | Journal of Engineering and Technology Management | Ching-Chiang Yeh, Pao‐Long Chang | 13 |
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.