Tingmin Wu
Impact in
- Information Systems top 5%
- Spam and Phishing Detection
- Artificial Intelligence top 10%
- 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
- Software Engineering Research 3
- Information and Cyber Security 3
-
- Sentiment Analysis and Opinion Mining 4
- Topic Modeling 3
- Natural Language Processing Techniques 2
- Co-authors
- Yang Xiang (11 shared papers)Sheng Wen (12 shared papers)Wanlei Zhou (3 shared papers)Jun Zhang (2 shared papers)Shigang Liu (1 shared paper)Mohammad Mehedi Hassan (1 shared paper)Majed Alrubaian (1 shared paper)Carsten Rudolph (3 shared papers)
- Journals
- ACM Transactions on Internet Technology (2 papers)ACM Transactions on Cyber-Physical Systems (1 paper)IEEE Transactions on Dependable and Secure Computing (1 paper)Knowledge-Based Systems (1 paper)Journal of Computational Science (1 paper)
- Partner nations
- AustraliaChinaSaudi Arabia
In The Last Decade
Tingmin Wu
19 papers receiving 271 citations
Peers
Comparison fields: 5 of 41
- Information Systems 211
- Artificial Intelligence 178
- Computer Networks and Communications 126
- Signal Processing 58
- Software 7
Countries citing papers authored by Tingmin Wu
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
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.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2017 | 121 | |
| 2 | 2016 | 98 | |
| 3 | 2017 | 29 | |
| 4 | 2017 | 7 | |
| 5 | 2020 | 5 | |
| 6 | 2022 | 4 | |
| 7 | 2023 | 4 | |
| 8 | 2024 | 3 | |
| 9 | 2024 | 3 | |
| 10 | 2021 | 2 | |
| 11 | 2018 | 2 | |
| 12 | 2022 | 2 | |
| 13 | 2022 | 1 | |
| 14 | 2024 | 1 | |
| 15 | 2019 | 1 | |
| 16 | 2025 | 1 | |
| 17 | 2022 | 1 | |
| 18 | 2025 | 1 | |
| 19 | 2017 | 1 |
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 19 papers that have together received 287 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), Software Engineering Research (3 papers), Information and Cyber Security (3 papers), Topic Modeling (3 papers) and Natural Language Processing Techniques (2 papers). The work is most often cited by research in Information Systems (211 citations), Artificial Intelligence (178 citations), Computer Networks and Communications (126 citations), Signal Processing (58 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, Surya Nepal and Wanlun Ma. Their work appears in journals such as ACM Transactions on Internet Technology, ACM Transactions on Cyber-Physical Systems, IEEE Transactions on Dependable and Secure Computing, Knowledge-Based 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.