Mu‐En Wu
Impact in
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- Stock Market Forecasting Methods
- Finance top 5%
- Financial Markets and Investment Strategies
Papers in
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- Stock Market Forecasting Methods 27
- Advanced Bandit Algorithms Research 8
- Risk and Portfolio Optimization 5
- Finance 24
- Financial Markets and Investment Strategies 23
- Co-authors
- Hung–Min Sun (11 shared papers)Jia-Hao Syu (13 shared papers)Chien‐Ming Chen (11 shared papers)Jerry Chun‐Wei Lin (7 shared papers)Jan-Ming Ho (11 shared papers)Saru Kumari (3 shared papers)King-Hang Wang (3 shared papers)Wei‐Ho Chung (11 shared papers)
- Journals
- IEEE Access (3 papers)Future Generation Computer Systems (3 papers)Computational Economics (2 papers)Knowledge-Based Systems (2 papers)IEEE Transactions on Consumer Electronics (2 papers)
- Partner nations
- TaiwanChinaUnited States
In The Last Decade
Mu‐En Wu
70 papers receiving 781 citations
Peers
Comparison fields: 5 of 86
- Management Science and Operations Research 262
- Finance 145
- Information Systems 216
- Artificial Intelligence 262
- Computer Networks and Communications 171
Countries citing papers authored by Mu‐En Wu
This map shows the geographic impact of Mu‐En Wu'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 Mu‐En Wu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mu‐En Wu more than expected).
Fields of papers citing papers by Mu‐En Wu
This network shows the impact of papers produced by Mu‐En Wu. 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 Mu‐En Wu. The network helps show where Mu‐En Wu may publish in the future.
Co-authors
The 25 scholars most cited alongside Mu‐En Wu, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 74 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2020 | 116 | |
| 2 | 2007 | 80 | |
| 3 | 2021 | 53 | |
| 4 | 2018 | 42 | |
| 5 | 2019 | 36 | |
| 6 | 2019 | 28 | |
| 7 | 2021 | 27 | |
| 8 | 2016 | 26 | |
| 9 | 2021 | 26 | |
| 10 | 2013 | 26 | |
| 11 | 2023 | 23 | |
| 12 | 2014 | 23 | |
| 13 | 2016 | 23 | |
| 14 | 2022 | 21 | |
| 15 | 2018 | 16 | |
| 16 | 2019 | 13 | |
| 17 | 2009 | 11 | |
| 18 | 2013 | 11 | |
| 19 | 2021 | 10 | |
| 20 | 2021 | 9 |
About Mu‐En Wu
Mu‐En Wu is a scholar working on Management Science and Operations Research, Finance, Artificial Intelligence, Economics and Econometrics and Information Systems, having authored 74 papers that have together received 824 indexed citations. Recurring topics across this work include Stock Market Forecasting Methods (27 papers), Financial Markets and Investment Strategies (23 papers), Cryptography and Data Security (12 papers), Complex Systems and Time Series Analysis (11 papers), Advanced Bandit Algorithms Research (8 papers), Cryptography and Residue Arithmetic (5 papers), Risk and Portfolio Optimization (5 papers) and Consumer Market Behavior and Pricing (5 papers). The work is most often cited by research in Management Science and Operations Research (262 citations), Finance (145 citations), Information Systems (216 citations), Artificial Intelligence (262 citations) and Computer Networks and Communications (171 citations). Mu‐En Wu has collaborated with scholars based in Taiwan, China and United States. Frequent co-authors include Hung–Min Sun, Jia-Hao Syu, Chien‐Ming Chen, Jerry Chun‐Wei Lin, Jan-Ming Ho, Saru Kumari, King-Hang Wang, Wei‐Ho Chung, Yanyu Huang and M. Jason Hinek. Their work appears in journals such as IEEE Access, Future Generation Computer Systems, Computational Economics, Knowledge-Based Systems and IEEE Transactions on Consumer Electronics.
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.