Lam For Kwok
-
- Network Security and Intrusion Detection 30
- Signal Processing top 2%
- Advanced Malware Detection Techniques 9
-
- Online Learning and Analytics 10
- Information Systems top 2%
- Information and Cyber Security 9
- Artificial Intelligence top 5%
- Internet Traffic Analysis and Secure E-voting 21
-
- Innovative Teaching and Learning Methods 11
-
- Network Packet Processing and Optimization 11
-
- Online and Blended Learning 9
Lam For Kwok
92 papers receiving 1.2k citations
Peers
Comparison fields: 5 of 89
- Computer Networks and Communications 736
- Signal Processing 329
- Computer Science Applications 126
- Information Systems 453
- Artificial Intelligence 380
Countries citing papers authored by Lam For Kwok
This map shows the geographic impact of Lam For Kwok'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 Lam For Kwok with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Lam For Kwok more than expected).
Fields of papers citing papers by Lam For Kwok
This network shows the impact of papers produced by Lam For Kwok. 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 Lam For Kwok. The network helps show where Lam For Kwok may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Lam For Kwok, 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 | 2023 | 1 | |
| 2 | Home-based learning during COVID-19 outbreak: Feedback from Chinese parents | 2020 | 5 |
| 3 | 2019 | 17 | |
| 4 | 2017 | 5 | |
| 5 | 2015 | 1 | |
| 6 | 2014 | 81 | |
| 7 | 2014 | 3 | |
| 8 | 2013 | 36 | |
| 9 | 2013 | 7 | |
| 10 | 2013 | 21 | |
| 11 | 2012 | 8 | |
| 12 | 2007 | 1 | |
| 13 | 2005 | 32 | |
| 14 | Automatic Extraction of Learning Object Metadata (LOM) from HTML Web Pages | 2005 | 2 |
| 15 | The Content Engineering Agent: A TBL-based e-Course Development Tool | 2002 | 1 |
| 16 | 2002 | 1 | |
| 17 | 1999 | 6 | |
| 18 | 1996 | 6 | |
| 19 | 1995 | 2 | |
| 20 | 1986 | 1 |
About Lam For Kwok
Lam For Kwok is a scholar working on Computer Science Applications, Hardware and Architecture and Computer Networks and Communications, having authored 94 papers that have together received 1.3k indexed citations. Recurring topics across this work include Network Security and Intrusion Detection (30 papers), Internet Traffic Analysis and Secure E-voting (21 papers), Innovative Teaching and Learning Methods (11 papers), Network Packet Processing and Optimization (11 papers), Online Learning and Analytics (10 papers), Online and Blended Learning (9 papers), Information and Cyber Security (9 papers) and Advanced Malware Detection Techniques (9 papers). The work is most often cited by research in Computer Networks and Communications (736 citations), Signal Processing (329 citations) and Computer Science Applications (126 citations). Lam For Kwok has collaborated with scholars based in Hong Kong, China and Denmark. Frequent co-authors include Weizhi Meng, Wenjuan Li, Horace H. S. Ip, Simon K. S. Cheung, Siu Cheung Kong, Dennis Longley, Lap–Kei Lee, Zhiqiang Yu, Duncan S. Wong and Sheng Qian. Their work appears in journals such as IEEE Communications Surveys & Tutorials, IEEE Access and Computers & Education.
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.