Kuo-Ping Wu

971 total citations · 1 hit paper
16 papers, 674 citations indexed

About

Kuo-Ping Wu is a scholar working on Signal Processing, Information Systems and Computer Networks and Communications. According to data from OpenAlex, Kuo-Ping Wu has authored 16 papers receiving a total of 674 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Signal Processing, 7 papers in Information Systems and 5 papers in Computer Networks and Communications. Recurrent topics in Kuo-Ping Wu's work include Advanced Malware Detection Techniques (6 papers), Spam and Phishing Detection (5 papers) and Face and Expression Recognition (4 papers). Kuo-Ping Wu is often cited by papers focused on Advanced Malware Detection Techniques (6 papers), Spam and Phishing Detection (5 papers) and Face and Expression Recognition (4 papers). Kuo-Ping Wu collaborates with scholars based in Taiwan and Jordan. Kuo-Ping Wu's co-authors include Sheng‐De Wang, Te-En Wei, Ching-Hao Mao, Hahn-Ming Lee, Albert B. Jeng, Shyi‐Ming Chen, Ismail Al-Taharwa, Christos Faloutsos and Shin‐Ming Cheng and has published in prestigious journals such as Pattern Recognition, Journal of information science and engineering and NTUR (臺灣機構典藏).

In The Last Decade

Kuo-Ping Wu

16 papers receiving 639 citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

DroidMat: Android Malware Detection through Manifest and API Calls Tracing

2012 407 citations Ching-Hao Mao, Te-En Wei et al. profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Kuo-Ping Wu Taiwan	8	464	363	243	220	130	16	674
R.K. Iyer United States	17	150 0.3×	790 2.2×	134 0.6×	191 0.9×	240 1.8×	51	1.1k
Yong Qi China	10	178 0.4×	207 0.6×	29 0.1×	172 0.8×	121 0.9×	30	482
Kristian Torp Denmark	11	241 0.5×	210 0.6×	29 0.1×	67 0.3×	121 0.9×	56	517
Guangquan Xu China	10	133 0.3×	271 0.7×	38 0.2×	138 0.6×	113 0.9×	22	461
Saihua Cai China	13	88 0.2×	181 0.5×	50 0.2×	93 0.4×	270 2.1×	70	432
Mahmoud O. Elish Saudi Arabia	15	63 0.1×	326 0.9×	706 2.9×	847 3.9×	238 1.8×	35	1.0k
R. Frank United Kingdom	9	111 0.2×	55 0.2×	50 0.2×	102 0.5×	162 1.2×	23	460
Zhiqiang Wang China	13	117 0.3×	142 0.4×	21 0.1×	136 0.6×	246 1.9×	77	610
Sandeep Kumar India	11	29 0.1×	152 0.4×	180 0.7×	323 1.5×	162 1.2×	65	538

Countries citing papers authored by Kuo-Ping Wu

Since Specialization

Citations

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

Fields of papers citing papers by Kuo-Ping Wu

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Kuo-Ping Wu

This figure shows the co-authorship network connecting the top 25 collaborators of Kuo-Ping Wu. A scholar is included among the top collaborators of Kuo-Ping 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 Kuo-Ping Wu. Kuo-Ping 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:

16 of 16 papers shown

1.

Cheng, Shin‐Ming, et al.. (2016). A responsive probing approach to detect dynamic intrusion in a MANET. 1–6. 2 indexed citations

2.

Al-Taharwa, Ismail, et al.. (2015). Drive-by Disclosure: A Large-Scale Detector of Drive-by Downloads Based on Latent Behavior Prediction. 1. 334–343. 3 indexed citations

3.

Al-Taharwa, Ismail, et al.. (2015). Drive-by Disclosure: A Large-Scale Detector of Drive-by Downloads Based on Latent Behavior Prediction. 2015 IEEE Trustcom/BigDataSE/ISPA. 26. 334–343. 3 indexed citations

4.

Wu, Kuo-Ping, et al.. (2014). Stock Trend Prediction by Using K-Means and AprioriAll Algorithm for Sequential Chart Pattern Mining. Journal of information science and engineering. 30(3). 653–667. 13 indexed citations

5.

Wei, Te-En, et al.. (2013). DDIM-CAPTCHA: A Novel Drag-n-Drop Interactive Masking CAPTCHA against the Third Party Human Attacks. 158–163. 7 indexed citations

6.

Wu, Kuo-Ping, et al.. (2013). Suspicious URL Filtering Based on Logistic Regression with Multi-view Analysis. 77–84. 13 indexed citations

7.

Mao, Ching-Hao, et al.. (2012). DroidMat: Android Malware Detection through Manifest and API Calls Tracing. 62–69. 407 indexed citations breakdown →

8.

Wu, Kuo-Ping, et al.. (2012). Stock Trend Prediction by Sequential Chart Pattern via K-Means and AprioriAll Algorithm. 176–181. 9 indexed citations

9.

Mao, Ching-Hao, et al.. (2012). Real-Time Fast-Flux Identification via Localized Spatial Geolocation Detection. 244–252. 12 indexed citations

10.

Al-Taharwa, Ismail, Hahn-Ming Lee, Albert B. Jeng, et al.. (2012). RedJsod: A Readable JavaScript Obfuscation Detector Using Semantic-based Analysis. 1370–1375. 4 indexed citations

11.

Al-Taharwa, Ismail, Ching-Hao Mao, Kuo-Ping Wu, et al.. (2011). Obfuscated malicious JavaScript detection by Causal Relations Finding. 787–792. 6 indexed citations

12.

Wu, Kuo-Ping & Sheng‐De Wang. (2008). Choosing the kernel parameters for support vector machines by the inter-cluster distance in the feature space. Pattern Recognition. 42(5). 710–717. 172 indexed citations

13.

Wu, Kuo-Ping & Sheng‐De Wang. (2006). Choosing the Kernel parameters of Support Vector Machines According to the Inter-cluster Distance. The 2006 IEEE International Joint Conference on Neural Network Proceedings. 1205–1211. 11 indexed citations

14.

Wu, Kuo-Ping & Sheng‐De Wang. (2006). Choosing the Parameters of 2-norm Soft Margin Support Vector Machines According to the Cluster Validity. 4. 4825–4831. 1 indexed citations

15.

Wu, Kuo-Ping & Sheng‐De Wang. (2006). Choosing the Kernel parameters of Support Vector Machines According to the Inter-cluster Distance. The 2006 IEEE International Joint Conference on Neural Network Proceedings. 1205–1211. 2 indexed citations

16.

Wang, Sheng‐De, et al.. (2002). Fingerprint recognition using principal Gabor basis function. NTUR (臺灣機構典藏). 393–396. 9 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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