Jun Kit Chaw

743 citations
26 papers · 504 indexed · h-index 5
Topics
Emotion and Mood Recognition (3 papers)Face and Expression Recognition (2 papers)Smart Agriculture and AI (2 papers)
Journals
SHILAP Revista de lepidopterologíaClinical Infectious DiseasesExpert Systems with Applications

In The Last Decade

Jun Kit Chaw

20 papers receiving 491 citations

Peers

Jun Kit Chaw
Comparison fields: 5 of 88
  • Microbiology 320
  • Physiology 212
  • Infectious Diseases 152
  • Epidemiology 150
  • General Health Professions 123
Replace Silver K. Vargas with:
Silver K. Vargas Peru
Maurine Murtagh United Kingdom
Jonathan Powell United States
Sylvia Cho United States
Adolfo de Salazar Spain
Christine Navarro Canada
A Vaisman Canada
Stephen Dawson United Kingdom
Faris Yahya I. Asiri Saudi Arabia
Julie T. Jacobson United States
Jun Kit Chaw relative to Silver K. Vargas Peru Silver K. Vargas's profile →
Citations per field
00.5×2.9×
Silver K. Vargas · 1×
Citations per year

Countries citing papers authored by Jun Kit Chaw

Since Specialization
Citations

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

Fields of papers citing papers by Jun Kit Chaw

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jun Kit Chaw. 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 Jun Kit Chaw. The network helps show where Jun Kit Chaw may publish in the future.

Co-authorship network of co-authors of Jun Kit Chaw

This figure shows the co-authorship network connecting the top 25 collaborators of Jun Kit Chaw. A scholar is included among the top collaborators of Jun Kit Chaw 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 Jun Kit Chaw. Jun Kit Chaw 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 0
3 3
4 2
5 0
6 4
7 2
8 17
9 1
10 0
11 17
12 0
13 0
14 1
15 2
16 0
17 2
18 3
19 3
20 415

About Jun Kit Chaw

Jun Kit Chaw is a scholar working on Health Informatics, Applied Psychology and Human-Computer Interaction, having authored 26 papers that have together received 504 indexed citations. Recurring topics across this work include Emotion and Mood Recognition (3 papers), Face and Expression Recognition (2 papers) and Smart Agriculture and AI (2 papers). The work is most often cited by research in Microbiology (320 citations), Infectious Diseases (152 citations) and Physiology (212 citations). Jun Kit Chaw has collaborated with scholars based in Malaysia, China and United Kingdom. Frequent co-authors include William Chi Wai Wong, Sally Liska, G. Baker Hubbard, Charlotte Kent, Simone Gibson, Jeffrey D. Klausner, Mei Choo Ang, Ting Tin Tin, Musa Mohd Mokji and Ah-Lian Kor. Their work appears in journals such as SHILAP Revista de lepidopterología, Clinical Infectious Diseases and Expert Systems with Applications.

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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