See Kit Foong

36 papers receiving 413 citations

Peers

See Kit Foong
Comparison fields: 5 of 81
  • Atomic and Molecular Physics, and Optics 157
  • Statistical and Nonlinear Physics 114
  • Artificial Intelligence 88
  • Biomedical Engineering 70
  • Molecular Biology 62
Replace Sihong Shao with:
Sihong Shao China
Javier Rodríguez-Laguna Spain
V. I. Gerasimenko Ukraine
Silvia N. Santalla Spain
B. H. Lavenda Italy
Jean‐Pierre Boon Belgium
F. Schlögl Germany
Karel Netočný Czechia
P. Ehrenfest United States
Félix Klein Germany
See Kit Foong relative to Sihong Shao China Sihong Shao's profile →
Citations per field
00.5×8.9×
Sihong Shao · 1×
Citations per year

Countries citing papers authored by See Kit Foong

Since Specialization
Citations

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

Fields of papers citing papers by See Kit Foong

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of See Kit Foong

This figure shows the co-authorship network connecting the top 25 collaborators of See Kit Foong. A scholar is included among the top collaborators of See Kit Foong 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 See Kit Foong. See Kit Foong 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 3
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PBI1@SCHOOL: On secondary one students’ understanding of speed
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3
PBI1@SCHOOL: DEVELOPING AND IMPLEMENTING AN INQUIRY-BASED CURRICULUM FOR SPEED AND DENSITY
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4
PBI1@SCHOOL: On secondary one students’ understanding of volume and density
1
5
Domain-specificity of self-concept and parent expectation influences on short-term and long-term learning of physics
11
6
Boys' and Girls' self-beliefs, engagement, and aspirations in physics
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7
Developing an iMVT pedagogy for science learning
2
8 2
9 1
10 4
11 1
12 5
13 1
14 7
15
An Introduction to a Proof of Page's Conjecture on the Average Entropy of a Subsystem
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16 48
17 8
18 2
19 57
20 33

About See Kit Foong

See Kit Foong is a scholar working on Statistical and Nonlinear Physics, Mathematical Physics and Modeling and Simulation, having authored 39 papers that have together received 438 indexed citations. Recurring topics across this work include Science Education and Pedagogy (8 papers), Experimental and Theoretical Physics Studies (6 papers) and Sports Dynamics and Biomechanics (5 papers). The work is most often cited by research in Statistical and Nonlinear Physics (114 citations), Mathematical Physics (62 citations) and Atomic and Molecular Physics, and Optics (157 citations). See Kit Foong has collaborated with scholars based in Singapore, Japan and United States. Frequent co-authors include Sugumi Kanno, Cécile DeWitt-Morette, A. P. Watkinson, C. Jim Lim, Paul Lee, Alexander Seeshing Yeung, U. van Kolck, D. Wong, Eric Myers and Bryce S. DeWitt. Their work appears in journals such as Physical Review Letters, Physical Review A and American Journal of Physics.

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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