Kenneth Lai

559 citations
36 papers · 320 · h-index 10

Impact in

Papers in

Kenneth Lai

34 papers receiving 305 citations

Peers

Kenneth Lai
Comparison fields: 5 of 95
  • Microbiology 19
  • Human-Computer Interaction 73
  • Computer Vision and Pattern Recognition 105
  • Neuropsychology and Physiological Psychology 7
  • Experimental and Cognitive Psychology 30
Replace Lyndsay Williams with:
Lyndsay Williams United Kingdom
Michael Volkhardt Germany
Ali Karime Canada
Maher Ben Moussa Switzerland
Barnabás Takács Hungary
Kyungwon Lee South Korea
Albert Haque United States
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Citations per field
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Citations per year

Countries citing papers authored by Kenneth Lai

Since Specialization
Citations

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

Fields of papers citing papers by Kenneth Lai

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Kenneth Lai. 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 Kenneth Lai. The network helps show where Kenneth Lai may publish in the future.

Co-authors

The 25 scholars most cited alongside Kenneth Lai, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Kenneth Lai Line = papers co-authored together Kenneth Lai links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 36 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201874
2 202145
3 201536
4 201622
5 201813
6 201910
7 201910
8 20209
9 20209
10 20179
11 20207
12 20217
13 20246
14 20026
15 20176
16 20146
17 20206
18 20025
19 20175
20 20204

About Kenneth Lai

Kenneth Lai is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence, Signal Processing, Information Systems and Media Technology, having authored 36 papers that have together received 320 indexed citations. Recurring topics across this work include Biometric Identification and Security (6 papers), Face recognition and analysis (5 papers), Human Pose and Action Recognition (4 papers), Advanced Image Processing Techniques (4 papers), User Authentication and Security Systems (4 papers), Hand Gesture Recognition Systems (3 papers), Image Enhancement Techniques (3 papers) and Advanced Memory and Neural Computing (3 papers). The work is most often cited by research in Microbiology (19 citations), Human-Computer Interaction (73 citations), Computer Vision and Pattern Recognition (105 citations), Neuropsychology and Physiological Psychology (7 citations) and Experimental and Cognitive Psychology (30 citations). Kenneth Lai has collaborated with scholars based in Canada, Australia and China. Frequent co-authors include Svetlana Yanushkevich, Vlad P. Shmerko, Philip H. W. Leong, Ming Hou, Ken Liu, Meng Ngu, Michael R. Smith, James G. Kench, David Joseph and Paulus Anam Ong. Their work appears in journals such as IEEE Access, IEEE Transactions on Intelligent Transportation Systems, Pattern Recognition Letters, Sensors and Journal of Neuroscience Nursing.

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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