Hahn-Ming Lee

2.2k total citations · 1 hit paper
65 papers, 1.4k citations indexed

About

Hahn-Ming Lee is a scholar working on Artificial Intelligence, Information Systems and Computer Networks and Communications. According to data from OpenAlex, Hahn-Ming Lee has authored 65 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 42 papers in Artificial Intelligence, 36 papers in Information Systems and 28 papers in Computer Networks and Communications. Recurrent topics in Hahn-Ming Lee's work include Network Security and Intrusion Detection (21 papers), Advanced Malware Detection Techniques (20 papers) and Spam and Phishing Detection (11 papers). Hahn-Ming Lee is often cited by papers focused on Network Security and Intrusion Detection (21 papers), Advanced Malware Detection Techniques (20 papers) and Spam and Phishing Detection (11 papers). Hahn-Ming Lee collaborates with scholars based in Taiwan, United States and Jordan. Hahn-Ming Lee's co-authors include Chih‐Ming Chen, Ching-Hao Mao, Yahui Chen, Te-En Wei, Kuo-Ping Wu, Albert B. Jeng, Siyu Huang, Jan-Ming Ho, Tyng–Ruey Chuang and Tsuhan Chen and has published in prestigious journals such as Expert Systems with Applications, Computers & Education and Fuzzy Sets and Systems.

In The Last Decade

Hahn-Ming Lee

64 papers receiving 1.3k citations

Hit Papers

DroidMat: Android Malware Detection through Manifest and ... 2012 2026 2016 2021 2012 100 200 300 400
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.

  1. 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 Career Trend Papers Cites
Hahn-Ming Lee Taiwan 13 627 620 570 542 286 65 1.4k
Bruce W. Weide United States 19 747 1.2× 232 0.4× 743 1.3× 305 0.6× 243 0.8× 90 1.6k
Rishabh Singh United States 24 967 1.5× 341 0.6× 1.2k 2.1× 319 0.6× 1.1k 3.8× 71 2.3k
Matthias Hauswirth Switzerland 22 429 0.7× 137 0.2× 715 1.3× 946 1.7× 412 1.4× 88 1.6k
William Yurcik United States 23 513 0.8× 234 0.4× 531 0.9× 933 1.7× 48 0.2× 117 1.7k
Bernhard Thalheim Germany 15 524 0.8× 292 0.5× 459 0.8× 520 1.0× 68 0.2× 162 1.1k
Michel Wermelinger United Kingdom 22 853 1.4× 145 0.2× 1.2k 2.1× 446 0.8× 630 2.2× 100 1.6k
Antony L. Hosking United States 20 1.2k 2.0× 231 0.4× 893 1.6× 1.8k 3.3× 526 1.8× 91 3.0k
Nieves R. Brisaboa Spain 16 584 0.9× 289 0.5× 276 0.5× 360 0.7× 34 0.1× 102 1.1k
Dennis Kafura United States 22 661 1.1× 92 0.1× 1.2k 2.1× 610 1.1× 738 2.6× 96 2.0k
François Bry Germany 17 622 1.0× 212 0.3× 265 0.5× 451 0.8× 30 0.1× 146 936

Countries citing papers authored by Hahn-Ming Lee

Since Specialization
Citations

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

Fields of papers citing papers by Hahn-Ming Lee

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Hahn-Ming Lee. 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 Hahn-Ming Lee. The network helps show where Hahn-Ming Lee may publish in the future.

Co-authorship network of co-authors of Hahn-Ming Lee

This figure shows the co-authorship network connecting the top 25 collaborators of Hahn-Ming Lee. A scholar is included among the top collaborators of Hahn-Ming Lee 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 Hahn-Ming Lee. Hahn-Ming Lee 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.
Cheng, Shin‐Ming, et al.. (2024). An Adversarial Attack on Artificial Intelligence Malware Detection in Consumer Internet of Things. IEEE Consumer Electronics Magazine. 14(3). 53–66. 3 indexed citations
2.
Lee, Hahn-Ming, et al.. (2019). Identifying HID-based attacks through process event graph using guilt-by-association analysis. 273–278. 1 indexed citations
3.
Chen, Yen‐Lin, Hahn-Ming Lee, Albert B. Jeng, & Te-En Wei. (2015). DroidCIA: A Novel Detection Method of Code Injection Attacks on HTML5-Based Mobile Apps. 1. 1014–1021. 10 indexed citations
4.
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
5.
6.
Chen, Yen‐Lin, Hahn-Ming Lee, Albert B. Jeng, & Te-En Wei. (2015). DroidCIA: A Novel Detection Method of Code Injection Attacks on HTML5-Based Mobile Apps. 2015 IEEE Trustcom/BigDataSE/ISPA. 15 indexed citations
7.
Wei, Te-En, et al.. (2012). Android privacy. 13 indexed citations
8.
Mao, Ching-Hao, et al.. (2012). EigenBot. 1–8. 2 indexed citations
9.
Wei, Te-En, et al.. (2011). RePEF — A system for Restoring Packed Executable File for malware analysis. 519–527. 2 indexed citations
10.
Chen, Chun-Han, et al.. (2011). Novelty Paper Recommendation Using Citation Authority Diffusion. 126–131. 10 indexed citations
11.
Lee, Hahn-Ming, et al.. (2011). Mining Fuzzy Domain Ontology Based on Concept Vector from Wikipedia Category Network. 249–252. 3 indexed citations
12.
Al-Taharwa, Ismail, Albert B. Jeng, & Hahn-Ming Lee. (2011). Cloud-Based Anti-Malware Solution. 1 indexed citations
13.
Yang, Kai-Hsiang, Chun‐Yu Chen, Hahn-Ming Lee, & Jan-Ming Ho. (2008). EFS: Expert Finding System based on Wikipedia link pattern analysis. Conference proceedings/Conference proceedings - IEEE International Conference on Systems, Man, and Cybernetics. 631–635. 17 indexed citations
14.
Lee, Hahn-Ming, et al.. (2007). Association thesaurus construction for interactive query expansion based on association rule mining. Journal of information science and engineering. 23(2). 617–627. 2 indexed citations
15.
Lee, Hahn-Ming, et al.. (2007). Mining Navigation Behaviors for Term Suggestion of Search Engines. Journal of information science and engineering. 23(2). 387–401. 2 indexed citations
16.
Chuang, Tyng–Ruey, et al.. (2006). XML Evolution: a two-phase XML processing model using XML prefiltering techniques. Very Large Data Bases. 1215–1218. 5 indexed citations
17.
Chuang, Tyng–Ruey, et al.. (2006). Enhancing Entropy-based Informative Block Identification Using Block Preclustering Technology. 12. 2640–2645. 3 indexed citations
18.
Lee, Hahn-Ming, et al.. (2002). Inconsistency Resolution and Rule Insertion for Fuzzy Rule-Based Systems. Journal of information science and engineering. 18. 187–210. 2 indexed citations
19.
Lee, Hahn-Ming, et al.. (2002). FUZZY BP: a neural network model with fuzzy inference. 3. 1583–1588. 10 indexed citations
20.
Lee, Hahn-Ming, et al.. (1994). Fuzzy feature extraction on handwritten Chinese characters. 1809–1814 vol.3. 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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