Ching‐Hsien Hsu

698 total citations
33 papers, 404 citations indexed

About

Ching‐Hsien Hsu is a scholar working on Artificial Intelligence, Computer Networks and Communications and Information Systems. According to data from OpenAlex, Ching‐Hsien Hsu has authored 33 papers receiving a total of 404 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Artificial Intelligence, 11 papers in Computer Networks and Communications and 11 papers in Information Systems. Recurrent topics in Ching‐Hsien Hsu's work include Recommender Systems and Techniques (5 papers), Network Security and Intrusion Detection (4 papers) and Software-Defined Networks and 5G (3 papers). Ching‐Hsien Hsu is often cited by papers focused on Recommender Systems and Techniques (5 papers), Network Security and Intrusion Detection (4 papers) and Software-Defined Networks and 5G (3 papers). Ching‐Hsien Hsu collaborates with scholars based in Taiwan, China and India. Ching‐Hsien Hsu's co-authors include Yeh‐Ching Chung, Yingyuan Xiao, Hongya Wang, Brij B. Gupta, Peiying Zhang, Neeraj Kumar, Wenguang Zheng, Dragan Peraković, Anupama Mishra and Ning Chen and has published in prestigious journals such as Technological Forecasting and Social Change, Knowledge-Based Systems and Future Generation Computer Systems.

In The Last Decade

Ching‐Hsien Hsu

29 papers receiving 383 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Ching‐Hsien Hsu Taiwan 14 206 165 111 64 46 33 404
Liwei Kuang China 10 257 1.2× 115 0.7× 219 2.0× 76 1.2× 66 1.4× 17 521
Haleh Amintoosi Iran 12 285 1.4× 213 1.3× 197 1.8× 37 0.6× 56 1.2× 40 489
Runyuan Sun China 9 241 1.2× 236 1.4× 115 1.0× 34 0.5× 28 0.6× 28 373
Wenyun Dai United States 9 333 1.6× 385 2.3× 173 1.6× 81 1.3× 51 1.1× 27 661
Dawei Li China 12 144 0.7× 267 1.6× 157 1.4× 45 0.7× 27 0.6× 61 432
Qingfeng Cheng China 13 306 1.5× 300 1.8× 248 2.2× 67 1.0× 71 1.5× 60 533
Masato Oguchi Japan 10 348 1.7× 162 1.0× 122 1.1× 44 0.7× 46 1.0× 159 497
Rocco Aversa Italy 15 377 1.8× 380 2.3× 116 1.0× 61 1.0× 26 0.6× 64 596

Countries citing papers authored by Ching‐Hsien Hsu

Since Specialization
Citations

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

Fields of papers citing papers by Ching‐Hsien Hsu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Ching‐Hsien Hsu. 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 Ching‐Hsien Hsu. The network helps show where Ching‐Hsien Hsu may publish in the future.

Co-authorship network of co-authors of Ching‐Hsien Hsu

This figure shows the co-authorship network connecting the top 25 collaborators of Ching‐Hsien Hsu. A scholar is included among the top collaborators of Ching‐Hsien Hsu 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 Ching‐Hsien Hsu. Ching‐Hsien Hsu 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.
Gaurav, Akshat, et al.. (2025). Semantic-Aware Lightweight AI Model for Deepfake Image Detection in Online Retail Platforms. International Journal on Semantic Web and Information Systems. 21(1). 1–16.
2.
Gupta, Brij B., et al.. (2025). AI-Driven Malware Detection with VGG Feature Extraction and Artificial Rabbits Optimized Random Forest Model. Computers, materials & continua/Computers, materials & continua (Print). 84(3). 4755–4772.
3.
Hsu, Ching‐Hsien, et al.. (2025). Communication-efficient and privacy-preserving federated learning for medical image classification in multi-institutional edge computing. Journal of Cloud Computing Advances Systems and Applications. 14(1).
4.
Hsu, Ching‐Hsien, et al.. (2024). Cross-Modality Diffusion Modeling and Sampling for Speech Recognition. 3924–3928. 5 indexed citations
5.
Lei, Lei, Ching‐Hsien Hsu, & Seifedine Kadry. (2023). E-Learning Teaching System in Augmentative and Alternative Communication Using Big Data Analytics. International Journal of e-Collaboration. 19(4). 1–20.
6.
7.
Mishra, Anupama, Brij B. Gupta, Dragan Peraković, Shingo Yamaguchi, & Ching‐Hsien Hsu. (2021). Entropy based Defensive Mechanism against DDoS Attack in SDN-Cloud enabled Online Social Networks. 1–6. 10 indexed citations
8.
Zhu, Ke, et al.. (2021). Incorporating contextual information into personalized mobile applications recommendation. Soft Computing. 25(16). 10629–10645. 4 indexed citations
9.
Mishra, Anupama, Brij B. Gupta, Dragan Peraković, Francisco José García‐Peñalvo, & Ching‐Hsien Hsu. (2021). Classification Based Machine Learning for Detection of DDoS attack in Cloud Computing. 1–4. 27 indexed citations
10.
Sekaran, Kaushik, et al.. (2021). Accelerated grey wolf optimization for global optimization problems. Technological Forecasting and Social Change. 169. 120824–120824. 15 indexed citations
11.
Wu, Di, Yongxin Zhu, Victor Chang, et al.. (2020). Anomaly Detection Based on RBM-LSTM Neural Network for CPS in Advanced Driver Assistance System. ACM Transactions on Cyber-Physical Systems. 4(3). 1–17. 23 indexed citations
12.
Mao, Jia, et al.. (2020). CVRRSS‐CHD: Computer vision‐related roadside surveillance system using compound hierarchical‐deep models. IET Intelligent Transport Systems. 14(11). 1353–1362. 2 indexed citations
13.
Sun, Dong, et al.. (2020). Regional electromagnetic actuation simulation and monitoring for robotically aided surgical equipment with Medical platform. Measurement. 168. 108248–108248. 6 indexed citations
14.
Hsu, Ching‐Hsien, et al.. (2020). Internet of Vehicles. Technologies and Services Toward Smart Cities. Lecture notes in computer science. 3 indexed citations
15.
Hsu, Ching‐Hsien, Geoffrey Fox, Geyong Min, & Sugam Sharma. (2019). Advances in big data programming, system software and HPC convergence. The Journal of Supercomputing. 75(2). 489–493. 4 indexed citations
16.
Xiao, Yingyuan, et al.. (2019). A novel next new point-of-interest recommendation system based on simulated user travel decision-making process. Future Generation Computer Systems. 100. 982–993. 34 indexed citations
17.
Wang, Shangguang, et al.. (2018). Service Classification Based on Improved BP Neural Network. 網際網路技術學刊. 19(2). 369–379. 3 indexed citations
18.
Xiao, Yingyuan, et al.. (2015). Time-ordered collaborative filtering for news recommendation. China Communications. 12(12). 53–62. 47 indexed citations
19.
Hsu, Ching‐Hsien, et al.. (2000). A generalized basic-cycle calculation method for efficient array redistribution. IEEE Transactions on Parallel and Distributed Systems. 11(12). 1201–1216. 18 indexed citations
20.
Chung, Yeh‐Ching, et al.. (1998). A basic-cycle calculation technique for efficient dynamic data redistribution. IEEE Transactions on Parallel and Distributed Systems. 9(4). 359–377. 21 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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