Ming-Fu Hsu

644 total citations
27 papers, 467 citations indexed

About

Ming-Fu Hsu is a scholar working on Accounting, Artificial Intelligence and Management Science and Operations Research. According to data from OpenAlex, Ming-Fu Hsu has authored 27 papers receiving a total of 467 indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Accounting, 13 papers in Artificial Intelligence and 10 papers in Management Science and Operations Research. Recurrent topics in Ming-Fu Hsu's work include Financial Distress and Bankruptcy Prediction (16 papers), Imbalanced Data Classification Techniques (13 papers) and Stock Market Forecasting Methods (7 papers). Ming-Fu Hsu is often cited by papers focused on Financial Distress and Bankruptcy Prediction (16 papers), Imbalanced Data Classification Techniques (13 papers) and Stock Market Forecasting Methods (7 papers). Ming-Fu Hsu collaborates with scholars based in Taiwan, China and United States. Ming-Fu Hsu's co-authors include Der‐Jang Chi, Ching-Chiang Yeh, Ping‐Feng Pai, Sin‐Jin Lin, Fu-Hsiang Chen, Te-Min Chang, Jui‐Jung Liao, Gwo‐Hshiung Tzeng, Jhih‐Hong Zeng and Pedro V. Marcal and has published in prestigious journals such as Expert Systems with Applications, Knowledge-Based Systems and Computers & Industrial Engineering.

In The Last Decade

Ming-Fu Hsu

27 papers receiving 438 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Ming-Fu Hsu Taiwan 10 255 237 143 60 50 27 467
P. Ravisankar India 4 347 1.4× 298 1.3× 129 0.9× 30 0.5× 42 0.8× 5 524
Rashmi Malhotra United States 8 297 1.2× 323 1.4× 112 0.8× 32 0.5× 121 2.4× 34 532
Chun‐Ling Chuang Taiwan 11 227 0.9× 154 0.6× 123 0.9× 58 1.0× 58 1.2× 21 502
Efstathios Kirkos Greece 10 371 1.5× 367 1.5× 142 1.0× 30 0.5× 36 0.7× 13 685
Rua‐Huan Tsaih Taiwan 9 225 0.9× 110 0.5× 188 1.3× 25 0.4× 55 1.1× 45 545
Yakup Selvı Türkiye 5 155 0.6× 105 0.4× 190 1.3× 21 0.3× 38 0.8× 14 420
Ana I. Marqués Spain 12 544 2.1× 507 2.1× 123 0.9× 36 0.6× 179 3.6× 17 814
Kaisa Sere Finland 13 374 1.5× 217 0.9× 80 0.6× 185 3.1× 83 1.7× 61 747
Maumita Bhattacharya Australia 9 331 1.3× 121 0.5× 65 0.5× 77 1.3× 14 0.3× 25 498

Countries citing papers authored by Ming-Fu Hsu

Since Specialization
Citations

This map shows the geographic impact of Ming-Fu Hsu'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 Ming-Fu Hsu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ming-Fu Hsu more than expected).

Fields of papers citing papers by Ming-Fu Hsu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Ming-Fu Hsu. 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 Ming-Fu Hsu. The network helps show where Ming-Fu Hsu may publish in the future.

Co-authorship network of co-authors of Ming-Fu Hsu

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

All Works

20 of 20 papers shown
1.
Huang, Shifeng, et al.. (2024). Identifying contextual content-based risk drivers for advanced risk management strategies. Research in International Business and Finance. 73. 102643–102643. 1 indexed citations
2.
Hsu, Ming-Fu. (2024). Decision-making framework for sustainability-related supply chain risk management. Computers & Industrial Engineering. 200. 110825–110825. 2 indexed citations
3.
Lin, Sin‐Jin, Jhih‐Hong Zeng, Te-Min Chang, & Ming-Fu Hsu. (2023). Linguistic complexity consideration for advanced risk decision making and handling. Research in International Business and Finance. 69. 102199–102199. 5 indexed citations
4.
5.
Chen, Fu-Hsiang, et al.. (2023). A Decision Framework for Assessing and Improving the Barriers of Blockchain Technology Adoption. Journal of Global Information Management. 31(7). 1–34. 3 indexed citations
6.
Lin, Sin‐Jin, Te-Min Chang, & Ming-Fu Hsu. (2023). Valuing and Risk Analysis for Supply Chain Management. Journal of Global Information Management. 31(1). 1–25. 3 indexed citations
7.
Zeng, Jhih‐Hong & Ming-Fu Hsu. (2022). HOW NEW FINANCIAL TECHNOLOGIES RESOLVE ECONOMIC STAGNATION: THE FINANCIAL PERSPECTIVE. Global economy journal. 22(3). 1 indexed citations
8.
Hsu, Ming-Fu, et al.. (2022). Automated text mining process for corporate risk analysis and management. Risk Management. 24(4). 386–419. 9 indexed citations
9.
Hsu, Ming-Fu, et al.. (2021). Business analytics for corporate risk management and performance improvement. Annals of Operations Research. 315(2). 629–669. 12 indexed citations
10.
11.
Hsu, Ming-Fu, et al.. (2016). Corporate risk estimation by combining machine learning technique and risk measure. 38. 1–4. 2 indexed citations
12.
Chang, Te-Min & Ming-Fu Hsu. (2016). Integration of incremental filter-wrapper selection strategy with artificial intelligence for enterprise risk management. International Journal of Machine Learning and Cybernetics. 9(3). 477–489. 11 indexed citations
13.
Pai, Ping‐Feng, et al.. (2015). Credit Rating Analysis by the Decision-Tree Support Vector Machine with Ensemble Strategies. International Journal of Fuzzy Systems. 17(4). 521–530. 12 indexed citations
14.
Lin, Sin‐Jin, et al.. (2014). SELECTION OF MULTIPLE COMBINATION STRATEGIES FOR RISK ASSESSMENT. Cybernetics & Systems. 45(8). 622–634. 1 indexed citations
15.
Liao, Jui‐Jung, et al.. (2013). An ensemble-based model for two-class imbalanced financial problem. Economic Modelling. 37. 175–183. 29 indexed citations
16.
Pai, Ping‐Feng, Ming-Fu Hsu, & Lin Lin. (2013). Enhancing decisions with life cycle analysis for risk management. Neural Computing and Applications. 24(7-8). 1717–1724. 3 indexed citations
17.
Hsu, Ming-Fu, et al.. (2012). Credit risk assessment and decision making by a fusion approach. Knowledge-Based Systems. 35. 102–110. 47 indexed citations
18.
Pai, Ping‐Feng, et al.. (2010). Computer-assisted audit techniques based on an enhanced rough set model. 207–212. 1 indexed citations
19.
Yeh, Ching-Chiang, Der‐Jang Chi, & Ming-Fu Hsu. (2009). A hybrid approach of DEA, rough set and support vector machines for business failure prediction. Expert Systems with Applications. 37(2). 1535–1541. 133 indexed citations
20.
Hsu, Ming-Fu, et al.. (1980). Knowledge Based Consultation for Finite Element Structural Analysis.. Defense Technical Information Center (DTIC). 8 indexed citations

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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