Vrizlynn L. L. Thing

3.4k total citations
96 papers, 2.0k citations indexed

About

Vrizlynn L. L. Thing is a scholar working on Computer Networks and Communications, Artificial Intelligence and Signal Processing. According to data from OpenAlex, Vrizlynn L. L. Thing has authored 96 papers receiving a total of 2.0k indexed citations (citations by other indexed papers that have themselves been cited), including 44 papers in Computer Networks and Communications, 38 papers in Artificial Intelligence and 35 papers in Signal Processing. Recurrent topics in Vrizlynn L. L. Thing's work include Network Security and Intrusion Detection (38 papers), Advanced Malware Detection Techniques (26 papers) and Digital Media Forensic Detection (23 papers). Vrizlynn L. L. Thing is often cited by papers focused on Network Security and Intrusion Detection (38 papers), Advanced Malware Detection Techniques (26 papers) and Digital Media Forensic Detection (23 papers). Vrizlynn L. L. Thing collaborates with scholars based in Singapore, United Kingdom and China. Vrizlynn L. L. Thing's co-authors include Jonathan Goh, Guang Hua, Lilei Zheng, Ying Zhang, Li Zhang, Dinil Mon Divakaran, Heejo Lee, Ee‐Chien Chang, Jiwu Huang and Yun Q. Shi and has published in prestigious journals such as Optics Express, IEEE Access and IEEE Transactions on Communications.

In The Last Decade

Vrizlynn L. L. Thing

90 papers receiving 1.8k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Vrizlynn L. L. Thing Singapore 25 871 728 719 650 502 96 2.0k
Rosli Salleh Malaysia 24 1.0k 1.2× 1.4k 1.9× 349 0.5× 411 0.6× 551 1.1× 83 2.1k
Luca Caviglione Italy 21 540 0.6× 854 1.2× 368 0.5× 598 0.9× 417 0.8× 114 1.5k
Qi Alfred Chen United States 20 580 0.7× 546 0.8× 163 0.2× 552 0.8× 367 0.7× 87 1.3k
Malcolm I. Heywood Canada 22 568 0.7× 1.1k 1.5× 167 0.2× 1.5k 2.3× 303 0.6× 155 2.1k
Ming Xu China 18 316 0.4× 329 0.5× 447 0.6× 345 0.5× 253 0.5× 124 1.1k
Kehuan Zhang Hong Kong 23 1.3k 1.5× 812 1.1× 166 0.2× 1.1k 1.7× 1.0k 2.1× 56 2.1k
John Viega United States 18 511 0.6× 374 0.5× 225 0.3× 706 1.1× 817 1.6× 37 1.5k
Yogachandran Rahulamathavan United Kingdom 18 251 0.3× 434 0.6× 306 0.4× 511 0.8× 530 1.1× 56 1.3k
Fengyuan Xu China 23 289 0.3× 762 1.0× 227 0.3× 562 0.9× 543 1.1× 66 1.5k
Martin S. Beck Singapore 3 279 0.3× 1.8k 2.5× 379 0.5× 898 1.4× 1.1k 2.3× 8 2.7k

Countries citing papers authored by Vrizlynn L. L. Thing

Since Specialization
Citations

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

Fields of papers citing papers by Vrizlynn L. L. Thing

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Vrizlynn L. L. Thing. 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 Vrizlynn L. L. Thing. The network helps show where Vrizlynn L. L. Thing may publish in the future.

Co-authorship network of co-authors of Vrizlynn L. L. Thing

This figure shows the co-authorship network connecting the top 25 collaborators of Vrizlynn L. L. Thing. A scholar is included among the top collaborators of Vrizlynn L. L. Thing 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 Vrizlynn L. L. Thing. Vrizlynn L. L. Thing 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.
Thing, Vrizlynn L. L., et al.. (2024). Enhancing network intrusion detection performance using generative adversarial networks. Computers & Security. 145. 104005–104005. 14 indexed citations
2.
Thing, Vrizlynn L. L., et al.. (2023). An adversarial attack approach for eXplainable AI evaluation on deepfake detection models. Computers & Security. 139. 103684–103684. 13 indexed citations
3.
Thing, Vrizlynn L. L., et al.. (2023). Enhancing Cyber-Resilience in Self-Healing Cyber-Physical Systems with Implicit Guarantees. 359–366. 1 indexed citations
4.
Thing, Vrizlynn L. L., et al.. (2023). Few-shot weakly-supervised cybersecurity anomaly detection. Computers & Security. 130. 103194–103194. 9 indexed citations
5.
Zhang, Ying, Lilei Zheng, Vrizlynn L. L. Thing, et al.. (2023). FaceLivePlus: A Unified System for Face Liveness Detection and Face Verification. 144–152. 2 indexed citations
6.
Thing, Vrizlynn L. L., et al.. (2023). Payload-based 5G Attack Detection. 1262–1266.
7.
Thing, Vrizlynn L. L., et al.. (2019). A Novel Video Forgery Detection Model Based on Triangular Polarity Feature Classification. International Journal of Digital Crime and Forensics. 12(1). 14–34. 10 indexed citations
8.
Zhang, Li & Vrizlynn L. L. Thing. (2018). Assisting Vulnerability Detection by Prioritizing Crashes with Incremental Learning. 7. 2080–2085. 3 indexed citations
9.
Nevat, Ido, et al.. (2017). Anomaly Detection and Attribution in Networks With Temporally Correlated Traffic. IEEE/ACM Transactions on Networking. 26(1). 131–144. 51 indexed citations
10.
Hua, Guang, Guoan Bi, & Vrizlynn L. L. Thing. (2017). On Practical Issues of Electric Network Frequency Based Audio Forensics. IEEE Access. 5. 20640–20651. 22 indexed citations
11.
Divakaran, Dinil Mon, et al.. (2017). Insider threat detection and its future directions. International Journal of Security and Networks. 12(3). 168–168. 14 indexed citations
12.
Zhang, Ying, Lilei Zheng, & Vrizlynn L. L. Thing. (2017). Automated face swapping and its detection. 15–19. 93 indexed citations
13.
Divakaran, Dinil Mon, et al.. (2017). REX: Resilient and efficient data structure for tracking network flows. Computer Networks. 118. 37–53. 2 indexed citations
14.
Cheng, Long, et al.. (2016). FACT: A Framework for Authentication in Cloud-Based IP Traceback. IEEE Transactions on Information Forensics and Security. 12(3). 604–616. 20 indexed citations
15.
Hua, Guang, Ying Zhang, Jonathan Goh, & Vrizlynn L. L. Thing. (2016). Audio Authentication by Exploring the Absolute-Error-Map of ENF Signals. IEEE Transactions on Information Forensics and Security. 11(5). 1003–1016. 32 indexed citations
16.
Divakaran, Dinil Mon, et al.. (2016). REGENT: A Framework for Realistic Generation of Network Traffic. International Journal of Computer and Communication Engineering. 5(6). 430–440. 2 indexed citations
17.
Goh, Jonathan Wee Pin, et al.. (2013). Content-centric age and gender profiling Notebook for PAN at CLEF 2013. CLEF (Working Notes). 2 indexed citations
18.
Thing, Vrizlynn L. L., et al.. (2010). Live memory forensics of mobile phones. Digital Investigation. 7. S74–S82. 72 indexed citations
19.
Thing, Vrizlynn L. L., Morris Sloman, & Naranker Dulay. (2009). Adaptive response system for distributed denial-of-service attacks. Spiral (Imperial College London). 809–814. 8 indexed citations
20.
Thing, Vrizlynn L. L., Perry Ping Shum, & M. M. Rao. (2003). Channel allocation algorithm for WDM systems. Optics Express. 11(11). 1322–1322. 11 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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