Ming-Fu Hsu

654 citations
29 papers · 525 · h-index 11

Impact in

Papers in

Ming-Fu Hsu

28 papers receiving 495 citations

Peers

Ming-Fu Hsu
Comparison fields: 5 of 70
  • Accounting 260
  • Management Science and Operations Research 156
  • Artificial Intelligence 285
  • Management Information Systems 56
  • Finance 57
Replace Efstathios Kirkos with:
Efstathios Kirkos Greece
Markku Heikkilä Finland
Linda Salchenberger United States
Yakup Selvı Türkiye
P. Ravisankar India
Maumita Bhattacharya Australia
Pamela K. Coats United States
Ana I. Marqués Spain
Arash Bahrammirzaee France
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Citations per field
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Efstathios Kirkos · 1×
Citations per year

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-authors

The 14 scholars most cited alongside Ming-Fu Hsu, 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 Ming-Fu Hsu Line = papers co-authored together Ming-Fu Hsu links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 29 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2009143
2 201094
3 201251
4 201249
5 201332
6 202329
7 201516
8 201612
9 202112
10 202112
11
Knowledge Based Consultation for Finite Element Structural Analysis.
198011
12 20119
13 20229
14 20147
15 20235
16 20095
17 20234
18 20154
19 20134
20 20233

About Ming-Fu Hsu

Ming-Fu Hsu is a scholar working on Accounting, Artificial Intelligence, Management Science and Operations Research, Computational Theory and Mathematics and Management Information Systems, having authored 29 papers that have together received 525 indexed citations. Recurring topics across this work include Financial Distress and Bankruptcy Prediction (17 papers), Imbalanced Data Classification Techniques (15 papers), Rough Sets and Fuzzy Logic (8 papers), Stock Market Forecasting Methods (7 papers), Efficiency Analysis Using DEA (4 papers), Big Data and Business Intelligence (3 papers), Economic and Technological Systems Analysis (2 papers) and Forecasting Techniques and Applications (2 papers). The work is most often cited by research in Accounting (260 citations), Management Science and Operations Research (156 citations), Artificial Intelligence (285 citations), Management Information Systems (56 citations) and Finance (57 citations). Ming-Fu Hsu has collaborated with scholars based in Taiwan, China and United States. Frequent 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. Their work appears in journals such as Knowledge-Based Systems, Research in International Business and Finance, Journal of Global Information Management, Financial Innovation and Computers & Industrial Engineering.

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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