Kwok‐Yan Lam
Impact in
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- IoT and Edge/Fog Computing
- Artificial Intelligence top 0.5%
- Privacy-Preserving Technologies in Data
- Cryptography and Data Security
- Coding theory and cryptography
Papers in
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- Privacy-Preserving Technologies in Data 39
- Cryptography and Data Security 26
- Coding theory and cryptography 14
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- Network Security and Intrusion Detection 19
- IoT and Edge/Fog Computing 16
- Co-authors
- Jun Zhao (31 shared papers)Dusit Niyato (12 shared papers)Anupam Chattopadhyay (9 shared papers)Li Wang (23 shared papers)Zehui Xiong (9 shared papers)Helin Yang (8 shared papers)Liang Xiao (5 shared papers)Andreas Burg (1 shared paper)
In The Last Decade
Kwok‐Yan Lam
181 papers receiving 3.6k citations
Kwok‐Yan Lam's Hit Papers
Peers
Comparison fields: 5 of 123
- Computer Networks and Communications 1.2k
- Artificial Intelligence 1.5k
- Information Systems 1.0k
- Electrical and Electronic Engineering 1.3k
- Computer Science Applications 115
Countries citing papers authored by Kwok‐Yan Lam
This map shows the geographic impact of Kwok‐Yan Lam'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 Kwok‐Yan Lam with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kwok‐Yan Lam more than expected).
Fields of papers citing papers by Kwok‐Yan Lam
This network shows the impact of papers produced by Kwok‐Yan Lam. 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 Kwok‐Yan Lam. The network helps show where Kwok‐Yan Lam may publish in the future.
Co-authors
The 25 scholars most cited alongside Kwok‐Yan Lam, 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 205 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Blockchain for Future Smart Grid: A Comprehensive Survey Hit paper breakdown → | 2020 | 354 |
| 2 | Local Differential Privacy-Based Federated Learning for Internet of Things Hit paper breakdown → | 2020 | 280 |
| 3 | Privacy-Preserving Federated Learning for UAV-Enabled Networks: Learning-Based Joint Scheduling and Resource Management Hit paper breakdown → | 2021 | 227 |
| 4 | 2017 | 173 | |
| 5 | 2018 | 118 | |
| 6 | 1999 | 85 | |
| 7 | 2017 | 83 | |
| 8 | 2022 | 77 | |
| 9 | 2023 | 76 | |
| 10 | 2022 | 75 | |
| 11 | 2019 | 74 | |
| 12 | 2022 | 73 | |
| 13 | 2021 | 65 | |
| 14 | 2021 | 62 | |
| 15 | 2008 | 58 | |
| 16 | 2010 | 57 | |
| 17 | 2022 | 56 | |
| 18 | 2021 | 54 | |
| 19 | 2024 | 47 | |
| 20 | 2019 | 41 |
About Kwok‐Yan Lam
Kwok‐Yan Lam is a scholar working on Artificial Intelligence, Computer Networks and Communications, Electrical and Electronic Engineering, Information Systems and Computer Vision and Pattern Recognition, having authored 205 papers that have together received 3.7k indexed citations. Recurring topics across this work include Privacy-Preserving Technologies in Data (39 papers), Cryptography and Data Security (26 papers), Network Security and Intrusion Detection (19 papers), Biometric Identification and Security (16 papers), IoT and Edge/Fog Computing (16 papers), Coding theory and cryptography (14 papers), Blockchain Technology Applications and Security (14 papers) and Satellite Communication Systems (13 papers). The work is most often cited by research in Computer Networks and Communications (1.2k citations), Artificial Intelligence (1.5k citations), Information Systems (1.0k citations), Electrical and Electronic Engineering (1.3k citations) and Computer Science Applications (115 citations). Kwok‐Yan Lam has collaborated with scholars based in Singapore, China and Australia. Frequent co-authors include Jun Zhao, Dusit Niyato, Anupam Chattopadhyay, Li Wang, Zehui Xiong, Helin Yang, Liang Xiao, Andreas Burg, Mengmeng Yang and Xin Liu. Their work appears in journals such as IEEE Internet of Things Journal, IEEE Transactions on Information Forensics and Security, IEEE Network, IEEE Access and Wireless Networks.
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.