Hsing-Kuo Pao

939 total citations
49 papers, 433 citations indexed

About

Hsing-Kuo Pao is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Signal Processing. According to data from OpenAlex, Hsing-Kuo Pao has authored 49 papers receiving a total of 433 indexed citations (citations by other indexed papers that have themselves been cited), including 28 papers in Artificial Intelligence, 21 papers in Computer Vision and Pattern Recognition and 17 papers in Signal Processing. Recurrent topics in Hsing-Kuo Pao's work include Network Security and Intrusion Detection (10 papers), Anomaly Detection Techniques and Applications (9 papers) and Advanced Malware Detection Techniques (8 papers). Hsing-Kuo Pao is often cited by papers focused on Network Security and Intrusion Detection (10 papers), Anomaly Detection Techniques and Applications (9 papers) and Advanced Malware Detection Techniques (8 papers). Hsing-Kuo Pao collaborates with scholars based in Taiwan, United States and Indonesia. Hsing-Kuo Pao's co-authors include Yuh‐Jye Lee, Davi Geiger, Nava Rubin, Kuan‐Ta Chen, Jianwei Liao, Furen Xiao, Mohammad Iqbal, Chin‐Wei Tien, John Case and Imam Mukhlash and has published in prestigious journals such as Pattern Recognition, Neurocomputing and Neural Networks.

In The Last Decade

Hsing-Kuo Pao

43 papers receiving 409 citations

Peers

Hsing-Kuo Pao
Laxmi Gewali United States
Anto Satriyo Nugroho Indonesia
Yi-Leh Wu Taiwan
Vlad P. Shmerko Canada
Abhishek Mallik India
Mohamed Bouguessa Canada
Md Jobair Hossain Faruk United States
Damien Magoni France
Yang Xiang China
Laxmi Gewali United States
Hsing-Kuo Pao
Citations per year, relative to Hsing-Kuo Pao Hsing-Kuo Pao (= 1×) peers Laxmi Gewali

Countries citing papers authored by Hsing-Kuo Pao

Since Specialization
Citations

This map shows the geographic impact of Hsing-Kuo Pao'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 Hsing-Kuo Pao with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Hsing-Kuo Pao more than expected).

Fields of papers citing papers by Hsing-Kuo Pao

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Hsing-Kuo Pao. 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 Hsing-Kuo Pao. The network helps show where Hsing-Kuo Pao may publish in the future.

Co-authorship network of co-authors of Hsing-Kuo Pao

This figure shows the co-authorship network connecting the top 25 collaborators of Hsing-Kuo Pao. A scholar is included among the top collaborators of Hsing-Kuo Pao 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 Hsing-Kuo Pao. Hsing-Kuo Pao 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.
Pao, Hsing-Kuo, et al.. (2025). Interpretable deep model pruning. Neurocomputing. 647. 130485–130485. 2 indexed citations
2.
Iqbal, Mohammad, et al.. (2024). Mining fuzzy local periodic activity pattern for Smart home applications. Knowledge-Based Systems. 293. 111629–111629. 6 indexed citations
3.
Pao, Hsing-Kuo, et al.. (2024). A unified noise and watermark removal from information bottleneck-based modeling. Neural Networks. 181. 106853–106853. 1 indexed citations
4.
Pao, Hsing-Kuo, et al.. (2024). Polyp-DDPM: Diffusion-Based Semantic Polyp Synthesis for Enhanced Segmentation. PubMed. 2024. 1–7. 2 indexed citations
5.
Iqbal, Mohammad, et al.. (2022). Pseudo slicer on three dimensional brain tumor segmentation. 2022 IEEE International Conference on Big Data (Big Data). 27. 5278–5287.
6.
Pao, Hsing-Kuo, et al.. (2020). Multi-modal, Multi-labeled Sports Highlight Extraction. 181–186. 4 indexed citations
7.
Pao, Hsing-Kuo, et al.. (2019). Deep Neural Network-based Data Forgery Detection in Transportation System. 495–500. 1 indexed citations
8.
Pao, Hsing-Kuo, et al.. (2018). Group Behavior Recognition Based on Dictionary and Hierarchical Learning. Procedia Computer Science. 144. 52–59. 1 indexed citations
9.
Pao, Hsing-Kuo, et al.. (2017). Efficient dynamic malware analysis using virtual time control mechanics. Computers & Security. 73. 359–373. 33 indexed citations
10.
Tien, Chin‐Wei, et al.. (2015). Efficient spear-phishing threat detection using hypervisor monitor. 299–303. 8 indexed citations
11.
Fishkind, Donniell E., Vince Lyzinski, Hsing-Kuo Pao, Lidian Chen, & Carey E. Priebe. (2015). Vertex nomination schemes for membership prediction. The Annals of Applied Statistics. 9(3). 7 indexed citations
12.
Yeh, Yi-Ren, Su‐Yun Huang, Hsing-Kuo Pao, & Yuh‐Jye Lee. (2014). A Review of Reduced Kernel Trick in Machine Learning. 52(1). 85–114. 2 indexed citations
13.
Chen, Kuan‐Wen, Hsin‐Mu Tsai, Shou-De Lin, et al.. (2014). Connected vehicle safety science, system, and framework. 14. 235–240. 7 indexed citations
14.
Lee, Yuh‐Jye, et al.. (2013). Malicious URL filtering — A big data application. 589–596. 33 indexed citations
15.
Hua, Kai‐Lung, et al.. (2013). An efficient scheduling algorithm for scalable video streaming over P2P networks. Computer Networks. 57(14). 2856–2868. 8 indexed citations
16.
Pao, Hsing-Kuo, et al.. (2012). Trajectory analysis for user verification and recognition. Knowledge-Based Systems. 34. 81–90. 14 indexed citations
17.
Pao, Hsing-Kuo, et al.. (2012). Malicious URL Detection Based on Kolmogorov Complexity Estimation. 2012 IEEE/WIC/ACM International Conferences on Web Intelligence and Intelligent Agent Technology. 380–387. 13 indexed citations
18.
Pao, Hsing-Kuo, et al.. (2012). Malicious URL Detection Based on Kolmogorov Complexity Estimation. 1. 380–387. 6 indexed citations
19.
Pao, Hsing-Kuo, et al.. (2011). An RSVM based two-teachers–one-student semi-supervised learning algorithm. Neural Networks. 25(1). 57–69. 5 indexed citations
20.
Pao, Hsing-Kuo, et al.. (2002). Stochastic features for noise robust speech recognition. 2. 633–636. 2 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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