T Kwok

536 citations
18 papers · 251 · h-index 8

Impact in

Papers in

    • Neural Networks and Applications 4
    • Metaheuristic Optimization Algorithms Research 2
    • Neural Networks and Reservoir Computing 2
    • Nutrition and Health in Aging 3
    • Body Composition Measurement Techniques 2

T Kwok

15 papers receiving 243 citations

Peers

T Kwok
Comparison fields: 5 of 81
  • Orthopedics and Sports Medicine 24
  • Statistical and Nonlinear Physics 27
  • Complementary and alternative medicine 16
  • Physiology 45
  • Artificial Intelligence 59
Replace Vahid Farrahi with:
Vahid Farrahi Finland
Oliver Vogel Germany
John Hugg United States
Zhixiong Zhou China
Andreas Roth Germany
Dimitrios Liarokapis United Kingdom
Luc P. Beaudoin Canada
Enrico Reggiani Italy
Bum Ju Lee South Korea
Yujian Pan China
T Kwok relative to Vahid Farrahi Finland Vahid Farrahi's profile →
Citations per field
00.5×4.8×
Vahid Farrahi · 1×
Citations per year

Countries citing papers authored by T Kwok

Since Specialization
Citations

This map shows the geographic impact of T 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 T Kwok with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites T Kwok more than expected).

Fields of papers citing papers by T Kwok

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside T Kwok, 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 T Kwok Line = papers co-authored together T Kwok links everyone, so they are left out of the graph.

All Works

18 of 18 papers shown
#Work
1 200065
2 200456
3 200843
4 202225
5 200415
6 202210
7 199510
8 20099
9 19905
10 20244
11 20253
12 20173
13 20061
14 20041
15
Nonlinear system dynamics in the normalisation process of a self-organising neural network for combinatorial optimisation
20011
16 20250
17 20260
18 20250

About T Kwok

T Kwok is a scholar working on Artificial Intelligence, Physiology, Cognitive Neuroscience, Public Health, Environmental and Occupational Health and Surgery, having authored 18 papers that have together received 251 indexed citations. Recurring topics across this work include Neural Networks and Applications (4 papers), Nutrition and Health in Aging (3 papers), Body Composition Measurement Techniques (2 papers), Metaheuristic Optimization Algorithms Research (2 papers), Neural Networks and Reservoir Computing (2 papers), Autism Spectrum Disorder Research (1 paper), Sodium Intake and Health (1 paper) and Online and Blended Learning (1 paper). The work is most often cited by research in Orthopedics and Sports Medicine (24 citations), Statistical and Nonlinear Physics (27 citations), Complementary and alternative medicine (16 citations), Physiology (45 citations) and Artificial Intelligence (59 citations). T Kwok has collaborated with scholars based in Hong Kong, China and Australia. Frequent co-authors include Jean Woo, Nelson L.S. Tang, Jason Leung, M. N. Whitelaw, Gordon Tin Chun Wong, Abraham Ka Chung Wai, P. C. Leung, Maggie Mee Kie Chan, Tung Wai Auyeung and Yuying Sun. Their work appears in journals such as Journal of Medical Internet Research, International Journal of Nursing Studies, International Journal of Food Sciences and Nutrition, The journal of nutrition health & aging and Games for Health Journal.

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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