Hsiao-Fen Hsiao
- Management Science and Operations Research top 2%
- Artificial Intelligence top 10%
- Economics and Econometrics top 10%
- Electrical and Electronic Engineering
- Accounting top 10%
- Co-authors
- Tsung-Jung HsiehWei‐Chang YehJun WangChi‐Wei SuYang LiHasan DınçerShumei WangSerhat Yüksel
- Topics
- Corporate Finance and Governance (8 papers)Financial Markets and Investment Strategies (6 papers)Stock Market Forecasting Methods (5 papers)
In The Last Decade
Hsiao-Fen Hsiao
15 papers receiving 420 citations
Peers
Comparison fields: 5 of 72
- Management Science and Operations Research 222
- Artificial Intelligence 145
- Economics and Econometrics 131
- Electrical and Electronic Engineering 112
- Accounting 70
Countries citing papers authored by Hsiao-Fen Hsiao
This map shows the geographic impact of Hsiao-Fen Hsiao'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 Hsiao-Fen Hsiao with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Hsiao-Fen Hsiao more than expected).
Fields of papers citing papers by Hsiao-Fen Hsiao
This network shows the impact of papers produced by Hsiao-Fen Hsiao. 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 Hsiao-Fen Hsiao. The network helps show where Hsiao-Fen Hsiao may publish in the future.
Co-authorship network of co-authors of Hsiao-Fen Hsiao
This figure shows the co-authorship network connecting the top 25 collaborators of Hsiao-Fen Hsiao. A scholar is included among the top collaborators of Hsiao-Fen Hsiao 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 Hsiao-Fen Hsiao. Hsiao-Fen Hsiao is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 2 | |
| 2 | 11 | |
| 3 | 2 | |
| 4 | 3 | |
| 5 | 13 | |
| 6 | 2 | |
| 7 | 4 | |
| 8 | 3 | |
| 9 | Dividend yield investment strategies in the Taiwan stock market | 3 |
| 10 | Effect of board monitoring on corporate investment and firm performance: Taiwan evidence | 1 |
| 11 | Earnings management, corporate governance, and auditor’s opinions: a financial distress prediction model | 9 |
| 12 | 8 | |
| 13 | 6 | |
| 14 | 0 | |
| 15 | 49 | |
| 16 | 17 | |
| 17 | 306 | |
| 18 | 0 |
About Hsiao-Fen Hsiao
Hsiao-Fen Hsiao is a scholar working on Accounting, Finance and Management Science and Operations Research, having authored 18 papers that have together received 439 indexed citations. Recurring topics across this work include Corporate Finance and Governance (8 papers), Financial Markets and Investment Strategies (6 papers) and Stock Market Forecasting Methods (5 papers). The work is most often cited by research in Management Science and Operations Research (222 citations), Accounting (70 citations) and Finance (60 citations). Hsiao-Fen Hsiao has collaborated with scholars based in China, Taiwan and Türkiye. Frequent co-authors include Tsung-Jung Hsieh, Wei‐Chang Yeh, Jun Wang, Chi‐Wei Su, Yang Li, Hasan Dınçer, Shumei Wang and Serhat Yüksel. Their work appears in journals such as Sustainability, Neurocomputing and Applied Soft Computing.
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.