Mu‐En Wu

1.4k total citations
74 papers, 799 citations indexed

About

Mu‐En Wu is a scholar working on Management Science and Operations Research, Finance and Artificial Intelligence. According to data from OpenAlex, Mu‐En Wu has authored 74 papers receiving a total of 799 indexed citations (citations by other indexed papers that have themselves been cited), including 34 papers in Management Science and Operations Research, 24 papers in Finance and 22 papers in Artificial Intelligence. Recurrent topics in Mu‐En Wu's work include Stock Market Forecasting Methods (27 papers), Financial Markets and Investment Strategies (23 papers) and Cryptography and Data Security (12 papers). Mu‐En Wu is often cited by papers focused on Stock Market Forecasting Methods (27 papers), Financial Markets and Investment Strategies (23 papers) and Cryptography and Data Security (12 papers). Mu‐En Wu collaborates with scholars based in Taiwan, China and United States. Mu‐En Wu's co-authors include Hung–Min Sun, Chien‐Ming Chen, Jia-Hao Syu, Jerry Chun‐Wei Lin, Jan-Ming Ho, Saru Kumari, King-Hang Wang, Wei‐Ho Chung, Yanyu Huang and Raylin Tso and has published in prestigious journals such as IEEE Transactions on Information Theory, IEEE Access and Information Sciences.

In The Last Decade

Mu‐En Wu

68 papers receiving 753 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Mu‐En Wu Taiwan	15	263	252	212	169	158	74	799
V. N. Sastry India	15	247 0.9×	300 1.2×	314 1.5×	250 1.5×	181 1.1×	53	891
Ömer Berat Sezer Türkiye	8	151 0.6×	286 1.1×	117 0.6×	266 1.6×	182 1.2×	13	803
Khin Lwin United Kingdom	13	233 0.9×	213 0.8×	193 0.9×	95 0.6×	51 0.3×	19	763
Amin Karami United Kingdom	12	281 1.1×	184 0.7×	62 0.3×	293 1.7×	110 0.7×	26	753
Jun-Lin Lin Taiwan	17	421 1.6×	231 0.9×	162 0.8×	84 0.5×	97 0.6×	42	813
Janet Bruten United States	7	203 0.8×	101 0.4×	58 0.3×	426 2.5×	117 0.7×	10	787
Anwar Walid United States	22	256 1.0×	122 0.5×	330 1.6×	1.4k 8.5×	639 4.0×	76	1.9k
Prasad Chalasani United States	13	175 0.7×	68 0.3×	73 0.3×	233 1.4×	39 0.2×	32	683
Chen-Hao Liu Taiwan	9	351 1.3×	519 2.1×	88 0.4×	16 0.1×	164 1.0×	16	913
Rasha Kashef Canada	13	280 1.1×	85 0.3×	180 0.8×	102 0.6×	43 0.3×	39	555

Countries citing papers authored by Mu‐En Wu

Since Specialization

Citations

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

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authorship network of co-authors of Mu‐En Wu

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

All Works

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20 of 20 papers shown

Wu, Mu‐En, et al.. (2024). PASS: Portfolio Analysis of Selecting Strategies on quantitative trading via NSGA-II. Engineering Optimization. 57(10). 2781–2808.

Dai, Tian‐Shyr, et al.. (2024). Constructing Optimal Portfolio Rebalancing Strategies with a Two-Stage Multiresolution-Grid Model. Computational Economics. 64(5). 3117–3142. 7 indexed citations

Wu, Jimmy Ming‐Tai, et al.. (2024). On the design of searching algorithm for parameter plateau in quantitative trading strategies using particle swarm optimization. Knowledge-Based Systems. 293. 111630–111630. 1 indexed citations

Wang, Ping, et al.. (2024). Large Language Models Driven Health Text Information Analysis in Consumer Electronics. IEEE Transactions on Consumer Electronics. 71(2). 3510–3521.

Xue, Xingsi, Mu‐En Wu, & Fazlullah Khan. (2024). Biomedical Information Integration via Adaptive Large Language Model Construction. IEEE Journal of Biomedical and Health Informatics. 29(9). 6381–6394.

Wu, Jimmy Ming‐Tai, et al.. (2023). The effective skyline quantify-utility patterns mining algorithm with pruning strategies. Computer Science and Information Systems. 20(3). 1085–1108. 1 indexed citations

Wu, Shih‐Wei, et al.. (2023). The United States Energy Consumption and Carbon Dioxide Emissions: A Comprehensive Forecast Using a Regression Model. Sustainability. 15(10). 7932–7932. 18 indexed citations

Wu, Jimmy Ming‐Tai, et al.. (2023). Mining skyline frequent-utility patterns from big data environment based on MapReduce framework. Intelligent Data Analysis. 27(5). 1359–1377. 1 indexed citations

Wu, Mu‐En, Jia-Hao Syu, & Chien‐Ming Chen. (2022). Kelly-Based Options Trading Strategies on Settlement Date via Supervised Learning Algorithms. Computational Economics. 59(4). 1627–1644. 5 indexed citations

10.

Chen, Chien‐Ming, et al.. (2022). Enhanced Authentication Protocol for the Internet of Things Environment. Security and Communication Networks. 2022. 1–13. 20 indexed citations

11.

Lu, Tsung-Yu, et al.. (2022). Reference Selection for Offline Hybrid Siamese Signature Verification Systems. Computers, materials & continua/Computers, materials & continua (Print). 73(1). 935–952. 1 indexed citations

12.

Wu, Mu‐En, et al.. (2021). Determination of Profit Quantification on Kelly Betting Based on Relative Entropy. Quality Technology & Quantitative Management. 18(4). 468–483. 2 indexed citations

13.

Chen, Chien‐Ming, et al.. (2021). Stock Trading System Based on Machine Learning and Kelly Criterion in Internet of Things. Wireless Communications and Mobile Computing. 2021(1). 3 indexed citations

14.

Wu, Jimmy Ming‐Tai, et al.. (2021). Top-k dominating queries on incomplete large dataset. The Journal of Supercomputing. 78(3). 3976–3997. 5 indexed citations

15.

Wu, Mu‐En, Jia-Hao Syu, Jerry Chun‐Wei Lin, & Jan-Ming Ho. (2021). Evolutionary ORB-based model with protective closing strategies. Knowledge-Based Systems. 216. 106769–106769. 9 indexed citations

16.

Chen, Chien‐Ming, Yanyu Huang, King-Hang Wang, Saru Kumari, & Mu‐En Wu. (2020). A secure authenticated and key exchange scheme for fog computing. Enterprise Information Systems. 15(9). 1200–1215. 114 indexed citations

17.

Kuo, Cheng-Ju, Gwo-Jiun Horng, Mu‐En Wu, et al.. (2019). Deep-Learning-Based Defective Bean Inspection with GAN-Structured Automated Labeled Data Augmentation in Coffee Industry. Applied Sciences. 9(19). 4166–4166. 34 indexed citations

18.

Chen, Chun-Hao, et al.. (2019). A Divide-and-Conquer-based Approach for Diverse Group Stock Portfolio Optimization Using Island-based Genetic Algorithms. 1473–1477. 3 indexed citations

19.

Pan, Jeng‐Shyang, et al.. (2015). A KL Divergence Function for Randomized Secret Shares. 2. 231–234. 1 indexed citations

20.

Wang, Chia‐Hung, Mu‐En Wu, & Chien‐Ming Chen. (2015). Inspection Risk and Delay for Screening Cargo Containers at Security Checkpoints. 211–214. 11 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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