Hsin‐Hung Cho

666 total citations
47 papers, 459 citations indexed

About

Hsin‐Hung Cho is a scholar working on Computer Networks and Communications, Electrical and Electronic Engineering and Artificial Intelligence. According to data from OpenAlex, Hsin‐Hung Cho has authored 47 papers receiving a total of 459 indexed citations (citations by other indexed papers that have themselves been cited), including 29 papers in Computer Networks and Communications, 18 papers in Electrical and Electronic Engineering and 9 papers in Artificial Intelligence. Recurrent topics in Hsin‐Hung Cho's work include IoT and Edge/Fog Computing (11 papers), Energy Harvesting in Wireless Networks (7 papers) and Energy Efficient Wireless Sensor Networks (7 papers). Hsin‐Hung Cho is often cited by papers focused on IoT and Edge/Fog Computing (11 papers), Energy Harvesting in Wireless Networks (7 papers) and Energy Efficient Wireless Sensor Networks (7 papers). Hsin‐Hung Cho collaborates with scholars based in Taiwan, China and Malaysia. Hsin‐Hung Cho's co-authors include Fan‐Hsun Tseng, Han‐Chieh Chao, Timothy K. Shih, Hsin‐Te Wu, Chi‐Yuan Chen, Wei-Che Chien, Chin‐Feng Lai, Jeng‐Shyang Pan, Chun‐Wei Tsai and Joel J. P. C. Rodrigues and has published in prestigious journals such as IEEE Access, IEEE Internet of Things Journal and IEEE Wireless Communications.

In The Last Decade

Hsin‐Hung Cho

42 papers receiving 434 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Hsin‐Hung Cho Taiwan 12 281 175 64 64 44 47 459
U. Sakthi India 10 152 0.5× 125 0.7× 48 0.8× 66 1.0× 70 1.6× 45 389
Yuwang Yang China 16 408 1.5× 261 1.5× 47 0.7× 32 0.5× 69 1.6× 61 632
Zerina Kapetanovic United States 9 167 0.6× 262 1.5× 85 1.3× 29 0.5× 37 0.8× 24 480
Mobasshir Mahbub Bangladesh 9 110 0.4× 127 0.7× 60 0.9× 46 0.7× 31 0.7× 41 347
Anna Triantafyllou Greece 8 166 0.6× 138 0.8× 120 1.9× 46 0.7× 27 0.6× 21 399
Sung-Chan Choi South Korea 12 278 1.0× 146 0.8× 61 1.0× 44 0.7× 19 0.4× 28 436
I Wayan Mustika Indonesia 12 209 0.7× 293 1.7× 26 0.4× 29 0.5× 42 1.0× 122 483
Rodrigo Santos Argentina 12 275 1.0× 138 0.8× 15 0.2× 26 0.4× 26 0.6× 71 468
Muhammad Aamir Pakistan 11 116 0.4× 103 0.6× 24 0.4× 37 0.6× 21 0.5× 48 317
Diana Bri Spain 10 322 1.1× 184 1.1× 24 0.4× 17 0.3× 16 0.4× 28 480

Countries citing papers authored by Hsin‐Hung Cho

Since Specialization
Citations

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

Fields of papers citing papers by Hsin‐Hung Cho

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Hsin‐Hung Cho

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

All Works

20 of 20 papers shown
1.
Yu, Chia-Mu, Hsin‐Hung Cho, Reza Malekian, Alireza Jolfaei, & Ye Liu. (2025). Adversarial Examples in Consumer Electronics: Deceptive Threats to AI Systems. IEEE Consumer Electronics Magazine. 14(3). 25–26.
2.
Tseng, Fan‐Hsun, et al.. (2025). Ring-Based Planning Approach for Intelligent Reflecting Surface in 6G Networks. IEEE Access. 13. 64890–64900.
3.
Cho, Hsin‐Hung, et al.. (2025). Efficient Defense Against Adversarial Attacks on Multimodal Emotion AI Models. IEEE Transactions on Computational Social Systems. 1–14.
4.
Chien, Wei-Che, Gwanggil Jeon, & Hsin‐Hung Cho. (2025). Multi-Objective Optimization of 3-D Cell Deployment in Sustainable B5G/6G Networks: Balancing Performance and Sustainability. IEEE Transactions on Network and Service Management. 22(4). 3077–3091. 3 indexed citations
5.
Tseng, Fan‐Hsun, Chin‐Hung Liu, Hsin‐Hung Cho, & Chi‐Yuan Chen. (2024). Irregular Element Selection for Intelligent Reflecting Surface with Mutual Coupling. 1–5.
6.
Cho, Hsin‐Hung, et al.. (2024). Effective Adversarial Examples Identification of Credit Card Transactions. IEEE Intelligent Systems. 39(4). 50–59. 2 indexed citations
7.
Tseng, Fan‐Hsun, et al.. (2023). Detecting Adversarial Examples of Fake News via the Neurons Activation State. IEEE Transactions on Computational Social Systems. 11(4). 5199–5209. 2 indexed citations
8.
Cho, Hsin‐Hung, Wei-Che Chien, Fan‐Hsun Tseng, & Han‐Chieh Chao. (2023). Artificial-Intelligence-Based Charger Deployment in Wireless Rechargeable Sensor Networks. Future Internet. 15(3). 117–117. 2 indexed citations
9.
Jung, Jaemin, Jihyeon Park, Seong-je Cho, et al.. (2021). Feature Engineering and Evaluation for Android Malware Detection Scheme. 網際網路技術學刊. 22(2). 423–440. 5 indexed citations
10.
Cho, Hsin‐Hung, et al.. (2021). An efficient spectrum scheduling mechanism using Markov decision chain for 5G mobile network. IET Communications. 16(11). 1268–1278. 5 indexed citations
11.
Cho, Hsin‐Hung, et al.. (2021). Differential-Evolution-based Weights Fine Tuning Mechanism for GRU to Predict 5G Traffic Flow. 1–2. 2 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.
Cho, Hsin‐Hung, et al.. (2020). Low-Rate Denial-of-Service detection based on Convolutional Neural Network. 26(3). 51–62. 3 indexed citations
14.
Cho, Hsin‐Hung, Hsin‐Te Wu, Chin‐Feng Lai, Timothy K. Shih, & Fan‐Hsun Tseng. (2020). Intelligent Charging Path Planning for IoT Network Over Blockchain-Based Edge Architecture. IEEE Internet of Things Journal. 8(4). 2379–2394. 12 indexed citations
15.
Chien, Wei-Che, Chin‐Feng Lai, Hsin‐Hung Cho, & Han‐Chieh Chao. (2018). A SDN-SFC-based service-oriented load balancing for the IoT applications. Journal of Network and Computer Applications. 114. 88–97. 40 indexed citations
16.
Tseng, Fan‐Hsun, et al.. (2017). Application-oriented offloading in heterogeneous networks for mobile cloud computing. Enterprise Information Systems. 12(4). 398–413. 16 indexed citations
17.
Cho, Hsin‐Hung, et al.. (2017). Markov-based Emergency Message Reduction Scheme for Roadside Assistance. Mobile Networks and Applications. 22(5). 859–867. 4 indexed citations
18.
Cho, Hsin‐Hung, et al.. (2016). Initialization of Software Defined Wireless Bacteria-Inspired Network Platform.. 81–86. 1 indexed citations
19.
Chien, Wei-Che, et al.. (2016). Enhanced SA-based charging algorithm for WRSN. 1012–1017. 10 indexed citations
20.
Chien, Wei-Che, Hsin‐Hung Cho, Chi‐Yuan Chen, Han‐Chieh Chao, & Timothy K. Shih. (2015). An Efficient Charger Planning Mechanism of WRSN Using Simulated Annealing Algorithm. 220. 2585–2590. 8 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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