Lam For Kwok

2.7k citations
94 papers · 1.3k indexed · h-index 21
Topics
Network Security and Intrusion Detection (30 papers)Internet Traffic Analysis and Secure E-voting (21 papers)Innovative Teaching and Learning Methods (11 papers)
Partner nations
Hong KongChinaDenmark

In The Last Decade

Lam For Kwok

92 papers receiving 1.2k citations

Peers

Lam For Kwok
Comparison fields: 5 of 89
  • Computer Networks and Communications 736
  • Information Systems 453
  • Artificial Intelligence 380
  • Signal Processing 329
  • Education 167
Replace Neil C. Rowe with:
Neil C. Rowe United States
Nieves R. Brisaboa Spain
Kajal Claypool United States
Michael Seufert Germany
Marcelo Campo Argentina
Giuseppe Scanniello Italy
Hahn-Ming Lee Taiwan
Dick C. A. Bulterman Netherlands
Rudolf Fleischer Germany
Idílio Drago Italy
Lam For Kwok relative to Neil C. Rowe United States Neil C. Rowe's profile →
Citations per field
00.5×6.9×
Neil C. Rowe · 1×
Citations per year

Countries citing papers authored by Lam For Kwok

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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 of co-authors of Lam For Kwok

This figure shows the co-authorship network connecting the top 25 collaborators of Lam For Kwok. A scholar is included among the top collaborators of Lam For Kwok 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 Lam For Kwok. Lam For Kwok 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
#WorkIndexed citations
1 1
2
Home-based learning during COVID-19 outbreak: Feedback from Chinese parents
5
3 17
4 5
5 1
6 81
7 3
8 36
9 7
10 21
11 8
12 1
13 32
14
Automatic Extraction of Learning Object Metadata (LOM) from HTML Web Pages
2
15
The Content Engineering Agent: A TBL-based e-Course Development Tool
1
16 1
17 6
18 6
19 2
20 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) and Innovative Teaching and Learning Methods (11 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.

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