Tingmin Wu

497 citations
18 papers · 277 · h-index 5

Impact in

    • Spam and Phishing Detection
    • Sentiment Analysis and Opinion Mining
    • Text and Document Classification Technologies
    • Internet Traffic Analysis and Secure E-voting
    • Topic Modeling

Papers in

    • Spam and Phishing Detection 9
    • Information and Cyber Security 3
    • Software Engineering Research 2
    • Sentiment Analysis and Opinion Mining 4
    • Topic Modeling 3
    • Natural Language Processing Techniques 2

Tingmin Wu

17 papers receiving 261 citations

Peers

Tingmin Wu
Comparison fields: 5 of 43
  • Information Systems 204
  • Artificial Intelligence 177
  • Computer Networks and Communications 122
  • Signal Processing 55
  • Software 7
Replace Pierre‐Antoine Vervier with:
Pierre‐Antoine Vervier United States
Platon Kotzias Spain
Walter Rudametkin France
Tom Van Goethem Belgium
Sid Stamm United States
Flavio Toffalini Singapore
Hongyu Gao China
Daiping Liu United States
William R. Claycomb United States
Andrew Bortz United States
Tingmin Wu relative to Pierre‐Antoine Vervier United States Pierre‐Antoine Vervier's profile →
Citations per field
00.5×5.9×
Pierre‐Antoine Vervier · 1×
Citations per year

Countries citing papers authored by Tingmin Wu

Since Specialization
Citations

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

Fields of papers citing papers by Tingmin Wu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Tingmin Wu, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Tingmin Wu Line = papers co-authored together Tingmin Wu links everyone, so they are left out of the graph.

All Works

18 of 18 papers shown
#Work
1 2017119
2 201695
3 201729
4 20177
5 20205
6 20234
7 20243
8 20223
9 20242
10 20222
11 20182
12 20221
13 20241
14 20251
15 20191
16 20171
17 20211
18 20220

About Tingmin Wu

Tingmin Wu is a scholar working on Information Systems, Artificial Intelligence, Computer Networks and Communications, Signal Processing and Sociology and Political Science, having authored 18 papers that have together received 277 indexed citations. Recurring topics across this work include Spam and Phishing Detection (9 papers), Network Security and Intrusion Detection (5 papers), Sentiment Analysis and Opinion Mining (4 papers), Advanced Malware Detection Techniques (4 papers), Information and Cyber Security (3 papers), Topic Modeling (3 papers), Natural Language Processing Techniques (2 papers) and Software Engineering Research (2 papers). The work is most often cited by research in Information Systems (204 citations), Artificial Intelligence (177 citations), Computer Networks and Communications (122 citations), Signal Processing (55 citations) and Software (7 citations). Tingmin Wu has collaborated with scholars based in Australia, China and Saudi Arabia. Frequent co-authors include Yang Xiang, Sheng Wen, Wanlei Zhou, Jun Zhang, Shigang Liu, Mohammad Mehedi Hassan, Majed Alrubaian, Carsten Rudolph, Xin Xia and Guangdong Bai. Their work appears in journals such as ACM Transactions on Internet Technology, IEEE Transactions on Sustainable Computing, Knowledge-Based Systems, ACM Transactions on Cyber-Physical Systems and Journal of Computational Science.

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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