Hsin‐Te Wu

894 total citations
55 papers, 583 citations indexed

About

Hsin‐Te Wu is a scholar working on Electrical and Electronic Engineering, Artificial Intelligence and Computer Networks and Communications. According to data from OpenAlex, Hsin‐Te Wu has authored 55 papers receiving a total of 583 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Electrical and Electronic Engineering, 14 papers in Artificial Intelligence and 12 papers in Computer Networks and Communications. Recurrent topics in Hsin‐Te Wu's work include Vehicular Ad Hoc Networks (VANETs) (7 papers), Privacy-Preserving Technologies in Data (7 papers) and Blockchain Technology Applications and Security (6 papers). Hsin‐Te Wu is often cited by papers focused on Vehicular Ad Hoc Networks (VANETs) (7 papers), Privacy-Preserving Technologies in Data (7 papers) and Blockchain Technology Applications and Security (6 papers). Hsin‐Te Wu collaborates with scholars based in Taiwan, China and United States. Hsin‐Te Wu's co-authors include Chun‐Wei Tsai, Fan‐Hsun Tseng, Hsin‐Hung Cho, Gwo-Jiun Horng, Mu‐Yen Chen, Fu‐Kun Chen, Wu-Chih Hu, Wen‐Shyong Hsieh, S.M. Kuo and Gautam Srivastava and has published in prestigious journals such as IEEE Access, Frontiers in Psychology and Sustainability.

In The Last Decade

Hsin‐Te Wu

49 papers receiving 551 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Hsin‐Te Wu Taiwan	13	168	160	111	92	89	55	583
Kamal Gulati India	12	210 1.3×	97 0.6×	133 1.2×	45 0.5×	178 2.0×	33	689
Muhammad Umar Farooq Pakistan	9	362 2.2×	217 1.4×	167 1.5×	24 0.3×	101 1.1×	29	724
Van-Hau Nguyen Vietnam	10	291 1.7×	161 1.0×	163 1.5×	133 1.4×	123 1.4×	42	747
Hamid Séridi Algeria	12	246 1.5×	126 0.8×	75 0.7×	43 0.5×	191 2.1×	74	652
Zengwei Zheng China	18	226 1.3×	106 0.7×	226 2.0×	45 0.5×	209 2.3×	83	769
Muhammad Islam Saudi Arabia	19	150 0.9×	84 0.5×	214 1.9×	68 0.7×	244 2.7×	62	898
Yi‐Wei Ma Taiwan	12	246 1.5×	104 0.7×	151 1.4×	18 0.2×	51 0.6×	72	509
Danco Davčev North Macedonia	16	453 2.7×	122 0.8×	226 2.0×	66 0.7×	132 1.5×	86	854
Ahmed Khattab Egypt	15	554 3.3×	69 0.4×	535 4.8×	242 2.6×	80 0.9×	99	1.1k
Nanang Ismail Indonesia	11	76 0.5×	92 0.6×	214 1.9×	34 0.4×	96 1.1×	109	561

Countries citing papers authored by Hsin‐Te Wu

Since Specialization

Citations

This map shows the geographic impact of Hsin‐Te 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 Hsin‐Te Wu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Hsin‐Te Wu more than expected).

Fields of papers citing papers by Hsin‐Te Wu

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Hsin‐Te 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 Hsin‐Te Wu. The network helps show where Hsin‐Te Wu may publish in the future.

Co-authorship network of co-authors of Hsin‐Te Wu

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

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

Chen, Mu‐Yen, et al.. (2025). Generative adversarial network based on CNN classifier predicted scores for image style transfer. Applied Soft Computing. 178. 113303–113303.

Wu, Hsin‐Te. (2025). Developing a Smart Learning System for Large Enterprises Based on Intelligent Augmented Reality. Journal of Organizational and End User Computing. 37(1). 1–14.

Wu, Hsin‐Te, et al.. (2025). Developing a Consumer Electronics Robotics With a Large Language Model Based on a Trustworthy AI Framework. IEEE Transactions on Consumer Electronics. 71(1). 2027–2038. 1 indexed citations

Wu, Hsin‐Te, et al.. (2025). LPS-IRM: A Novel Denoising Method for Leakage Detection in Fresh Air Ducts Under Low-SNR Conditions. 1021–1028.

Yuan, Yu‐Hsi, et al.. (2024). Optimization of Enterprise Financial Risk Management and Crisis Early Warning System Supported by AI. Journal of Global Information Management. 32(1). 1–21. 2 indexed citations

Lin, Pei‐Hsuan, Shih-Yeh Chen, Ying-Hsun Lai, & Hsin‐Te Wu. (2024). Design a Data Analytics Training System to Explore Behavioral Intention and Immersion for Internal Enterprise Education. Journal of Organizational and End User Computing. 36(1). 1–18. 1 indexed citations

Wu, Hsin‐Te. (2023). The Design Discussion of a Self-Powered Automatic Identification System Sensor. IEEE Sensors Journal. 23(18). 20766–20772. 1 indexed citations

Wu, Hsin‐Te & Kuo Cheng Chung. (2022). Establishing novel experimental operation teaching by a click-and-mortar environment. Library Hi Tech. 42(2). 409–426. 1 indexed citations

Wu, Hsin‐Te. (2022). Establish a Digital Real-Time Learning System With Push Notifications. Frontiers in Psychology. 13. 767389–767389. 1 indexed citations

10.

Wu, Hsin‐Te, et al.. (2022). A Hierarchical Clustering Federated Learning System Based on Industry 4.0. Journal of Organizational and End User Computing. 34(1). 1–16. 5 indexed citations

11.

Chen, Mu‐Yen & Hsin‐Te Wu. (2021). Real-time intelligent image processing for the internet of things. Journal of Real-Time Image Processing. 18(4). 997–998. 3 indexed citations

12.

Hu, Wu-Chih, Hsin‐Te Wu, Hsin‐Hung Cho, & Fan‐Hsun Tseng. (2020). Optimal Route Planning System for Logistics Vehicles Based on Artificial Intelligence. 網際網路技術學刊. 21(3). 757–764. 18 indexed citations

13.

Wu, Hsin‐Te, et al.. (2020). Using Long Short-Term Memory for Building Outdoor Agricultural Machinery. Frontiers in Neurorobotics. 14. 27–27. 5 indexed citations

14.

Hu, Wu-Chih, et al.. (2020). Shrimp recognition using ShrimpNet based on convolutional neural network. Journal of Ambient Intelligence and Humanized Computing. 30 indexed citations

15.

Wu, Hsin‐Te, et al.. (2019). A Study on Blockchain-based Circular Economy Credit Rating System. 網際網路技術學刊. 20(3). 947–954. 2 indexed citations

16.

Wu, Hsin‐Te & Mu‐Yen Chen. (2019). Course Design for College Entrepreneurship Education – From Personal Trait Analysis to Operation in Practice. Frontiers in Psychology. 10. 1016–1016. 8 indexed citations

17.

Chen, Mu‐Yen, et al.. (2018). An Intelligent Agriculture Application Based on Deep Learning. 30. 1–5. 4 indexed citations

18.

Wu, Hsin‐Te & Chun‐Wei Tsai. (2018). A home security system for seniors based on the beacon technology. Concurrency and Computation Practice and Experience. 30(15). 4 indexed citations

19.

Wu, Hsin‐Te, et al.. (2014). Anonymous Authentication and Key-Agreement Schemes in Vehicular Ad-Hoc Networks. 網際網路技術學刊. 15(6). 893–902. 7 indexed citations

20.

Chen, Shi-Huang, et al.. (2007). Robust voice activity detection using perceptual wavelet-packet transform and Teager energy operator. Pattern Recognition Letters. 28(11). 1327–1332. 14 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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