Vik Tor Goh
Impact in
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- Network Security and Intrusion Detection
- Advanced Data Storage Technologies
- Artificial Intelligence top 10%
- Internet Traffic Analysis and Secure E-voting
- Cryptography and Data Security
- Coding theory and cryptography
Papers in
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- Internet Traffic Analysis and Secure E-voting 6
- Anomaly Detection Techniques and Applications 2
- Coding theory and cryptography 2
- Sentiment Analysis and Opinion Mining 2
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- Spam and Phishing Detection 3
- Blockchain Technology Applications and Security 2
- Co-authors
- M.U. Siddiqi (3 shared papers)Huo-Chong Ling (3 shared papers)Ji‐Jian Chin (4 shared papers)KokSheik Wong (2 shared papers)Mark Looi (3 shared papers)Siow Chun Lim (2 shared papers)Teong Chee Chuah (2 shared papers)Fang-Fang Chua (2 shared papers)
In The Last Decade
Vik Tor Goh
20 papers receiving 174 citations
Peers
Comparison fields: 5 of 47
- Computer Networks and Communications 73
- Artificial Intelligence 98
- Information Systems 63
- Hardware and Architecture 12
- Signal Processing 17
Countries citing papers authored by Vik Tor Goh
This map shows the geographic impact of Vik Tor Goh'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 Vik Tor Goh with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Vik Tor Goh more than expected).
Fields of papers citing papers by Vik Tor Goh
This network shows the impact of papers produced by Vik Tor Goh. 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 Vik Tor Goh. The network helps show where Vik Tor Goh may publish in the future.
Co-authors
The 17 scholars most cited alongside Vik Tor Goh, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 25 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2008 | 77 | |
| 2 | 2021 | 14 | |
| 3 | 2013 | 13 | |
| 4 | 2010 | 12 | |
| 5 | 2016 | 10 | |
| 6 | 2025 | 9 | |
| 7 | 2015 | 9 | |
| 8 | 2022 | 7 | |
| 9 | 2022 | 5 | |
| 10 | 2004 | 5 | |
| 11 | 2022 | 4 | |
| 12 | 2024 | 4 | |
| 13 | 2025 | 4 | |
| 14 | 2010 | 2 | |
| 15 | 2019 | 2 | |
| 16 | 2023 | 1 | |
| 17 | 2025 | 1 | |
| 18 | 2020 | 1 | |
| 19 | 2020 | 1 | |
| 20 | 2021 | 1 |
About Vik Tor Goh
Vik Tor Goh is a scholar working on Artificial Intelligence, Information Systems, Computer Networks and Communications, Computer Vision and Pattern Recognition and Control and Systems Engineering, having authored 25 papers that have together received 182 indexed citations. Recurring topics across this work include Internet Traffic Analysis and Secure E-voting (6 papers), Network Security and Intrusion Detection (5 papers), Advanced Steganography and Watermarking Techniques (3 papers), Spam and Phishing Detection (3 papers), Blockchain Technology Applications and Security (2 papers), Anomaly Detection Techniques and Applications (2 papers), Coding theory and cryptography (2 papers) and Sentiment Analysis and Opinion Mining (2 papers). The work is most often cited by research in Computer Networks and Communications (73 citations), Artificial Intelligence (98 citations), Information Systems (63 citations), Hardware and Architecture (12 citations) and Signal Processing (17 citations). Vik Tor Goh has collaborated with scholars based in Malaysia, Australia and Pakistan. Frequent co-authors include M.U. Siddiqi, Huo-Chong Ling, Ji‐Jian Chin, KokSheik Wong, Mark Looi, Siow Chun Lim, Teong Chee Chuah, Fang-Fang Chua, Raphaël C.‐W. Phan and Yew-Chiong Lo. Their work appears in journals such as IEEE Open Journal of Vehicular Technology, Journal of Network and Computer Applications, Journal of Information Security and Applications, IEEE Transactions on Communications and IEEE Access.
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.