Tingmin Wu

497 total citations
18 papers, 277 citations indexed

About

Tingmin Wu is a scholar working on Information Systems, Artificial Intelligence and Computer Networks and Communications. According to data from OpenAlex, Tingmin Wu has authored 18 papers receiving a total of 277 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Information Systems, 12 papers in Artificial Intelligence and 7 papers in Computer Networks and Communications. Recurrent topics in Tingmin Wu's work include Spam and Phishing Detection (9 papers), Network Security and Intrusion Detection (5 papers) and Sentiment Analysis and Opinion Mining (4 papers). Tingmin Wu is often cited by papers focused on Spam and Phishing Detection (9 papers), Network Security and Intrusion Detection (5 papers) and Sentiment Analysis and Opinion Mining (4 papers). Tingmin Wu collaborates with scholars based in Australia, China and Macao. Tingmin Wu's co-authors include Yang Xiang, Sheng Wen, Wanlei Zhou, Jun Zhang, Shigang Liu, Mohammad Mehedi Hassan, Majed Alrubaian, Houcine Hassan, Alsharif Abuadbba and Mohan Baruwal Chhetri and has published in prestigious journals such as Knowledge-Based Systems, Computers & Security and IEEE Transactions on Dependable and Secure Computing.

In The Last Decade

Tingmin Wu

17 papers receiving 261 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Tingmin Wu Australia	5	204	177	122	55	49	18	277
Platon Kotzias Spain	10	186 0.9×	160 0.9×	166 1.4×	156 2.8×	92 1.9×	16	347
Pierre‐Antoine Vervier United States	7	106 0.5×	136 0.8×	127 1.0×	82 1.5×	94 1.9×	11	281
William R. Marczak United States	8	153 0.8×	93 0.5×	220 1.8×	36 0.7×	25 0.5×	13	301
Tom Van Goethem Belgium	9	163 0.8×	172 1.0×	108 0.9×	119 2.2×	43 0.9×	24	277
Flavio Toffalini Singapore	7	172 0.8×	95 0.5×	155 1.3×	109 2.0×	23 0.5×	20	259
Miltiadis Kandias Greece	8	108 0.5×	61 0.3×	95 0.8×	66 1.2×	41 0.8×	11	199
Sid Stamm United States	9	246 1.2×	203 1.1×	89 0.7×	133 2.4×	46 0.9×	15	328
Hongyu Gao China	7	176 0.9×	163 0.9×	187 1.5×	57 1.0×	45 0.9×	21	300
Bernhard Tellenbach Switzerland	8	119 0.6×	182 1.0×	234 1.9×	79 1.4×	28 0.6×	17	326
Aliaksandr Barushka Czechia	5	190 0.9×	191 1.1×	66 0.5×	35 0.6×	73 1.5×	7	259

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-authorship network of co-authors of Tingmin Wu

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

18 of 18 papers shown

Zhang, Hao, Tingmin Wu, Tianqing Zhu, Sheng Wen, & Yang Xiang. (2025). CyberLLaMA: A fine-tuned large language model for cybersecurity named entity recognition. Knowledge-Based Systems. 328. 114183–114183. 1 indexed citations

Wu, Tingmin, et al.. (2024). Utilizing Large Language Models with Human Feedback Integration for Generating Dedicated Warning for Phishing Emails. 35–46. 2 indexed citations

Wu, Tingmin. (2024). Automatic Generation of Security-Centric Description for Cyber Threats. Swinburne Research Bank (Swinburne University of Technology). 1 indexed citations

Wu, Tingmin, Xiao Chen, Sheng Wen, et al.. (2024). How COVID-19 impacts telehealth: an empirical study of telehealth services, users and the use of metaverse. Connection Science. 36(1). 3 indexed citations

Wu, Tingmin, et al.. (2023). Investigating Users’ Understanding of Privacy Policies of Virtual Personal Assistant Applications. Griffith Research Online (Griffith University, Queensland, Australia). 65–79. 4 indexed citations

Wu, Tingmin, Xiao Chen, Sheng Wen, et al.. (2022). How Does Visualisation Help App Practitioners Analyse Android Apps?. IEEE Transactions on Dependable and Secure Computing. 20(3). 2238–2255. 1 indexed citations

Wu, Tingmin, et al.. (2022). SAM: Multi-turn Response Selection Based on Semantic Awareness Matching. ACM Transactions on Internet Technology. 23(1). 1–18.

Wu, Tingmin, et al.. (2022). Email Summarization to Assist Users in Phishing Identification. 1234–1236. 3 indexed citations

Abuadbba, Alsharif, et al.. (2022). Profiler: Distributed Model to Detect Phishing. 2 indexed citations

10.

Wu, Tingmin, Wanlun Ma, Sheng Wen, et al.. (2021). Analysis of Trending Topics and Text-based Channels of Information Delivery in Cybersecurity. ACM Transactions on Internet Technology. 22(2). 1–27. 1 indexed citations

11.

Wu, Tingmin, Wanlun Ma, Sheng Wen, et al.. (2020). What risk? I don't understand. An Empirical Study on Users' Understanding of the Terms Used in Security Texts. Swinburne Research Bank (Swinburne University of Technology). 248–262. 5 indexed citations

12.

Wu, Tingmin, Sheng Wen, Cécile Paris, et al.. (2019). Catering to Your Concerns. ACM Transactions on Cyber-Physical Systems. 3(4). 1–21. 1 indexed citations

13.

Li, Lemin, et al.. (2018). Every word is valuable: Studied influence of negative words that spread during election period in social media. Concurrency and Computation Practice and Experience. 31(21). 2 indexed citations

14.

Wang, Derui, Tingmin Wu, Sheng Wen, et al.. (2017). STC: Exposing Hidden Compromised Devices in Networked Sustainable Green Smart Computing Platforms by Partial Observation. IEEE Transactions on Sustainable Computing. 4(2). 178–190. 1 indexed citations

15.

Wang, Derui, Tingmin Wu, Sheng Wen, et al.. (2017). Pokémon GO in Melbourne CBD: A case study of the cyber-physical symbiotic social networks. Journal of Computational Science. 26. 456–467. 7 indexed citations

16.

Wu, Tingmin, Sheng Wen, Jun Zhang, et al.. (2017). Detecting spamming activities in twitter based on deep‐learning technique. Concurrency and Computation Practice and Experience. 29(19). 29 indexed citations

17.

Wu, Tingmin, Sheng Wen, Yang Xiang, & Wanlei Zhou. (2017). Twitter spam detection: Survey of new approaches and comparative study. Computers & Security. 76. 265–284. 119 indexed citations

18.

Wu, Tingmin, Shigang Liu, Jun Zhang, & Yang Xiang. (2016). Twitter spam detection based on deep learning. Proceedings of the Australasian Computer Science Week Multiconference. 1–8. 95 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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