T Kwok

514 total citations
17 papers, 248 citations indexed

About

T Kwok is a scholar working on Physiology, Artificial Intelligence and Pharmacology. According to data from OpenAlex, T Kwok has authored 17 papers receiving a total of 248 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Physiology, 4 papers in Artificial Intelligence and 3 papers in Pharmacology. Recurrent topics in T Kwok's work include Neural Networks and Applications (4 papers), Musculoskeletal pain and rehabilitation (3 papers) and Nutrition and Health in Aging (3 papers). T Kwok is often cited by papers focused on Neural Networks and Applications (4 papers), Musculoskeletal pain and rehabilitation (3 papers) and Nutrition and Health in Aging (3 papers). T Kwok collaborates with scholars based in Hong Kong, China and Australia. T Kwok's co-authors include Jean Woo, Jason Leung, Nelson L.S. Tang, M. N. Whitelaw, Justin Leung, Maggie Mee Kie Chan, P. C. Leung, Tung Wai Auyeung, Janet Yuen Ha Wong and Gordon Tin Chun Wong and has published in prestigious journals such as Neural Networks, Age and Ageing and International Journal of Nursing Studies.

In The Last Decade

T Kwok

15 papers receiving 239 citations

Peers

T Kwok
Comparison fields: 5 of 85
  • Physiology 66
  • Artificial Intelligence 61
  • Public Health, Environmental and Occupational Health 35
  • Orthopedics and Sports Medicine 31
  • Computer Networks and Communications 29
Replace Vahid Farrahi with:
Vahid Farrahi Finland
John Hugg United States
Oliver Vogel Germany
Mustafa Özdal Türkiye
Dimitrios Liarokapis United Kingdom
Aleksandar Ignjatović Serbia
Václav Zeman Czechia
Abhirup Chatterjee India
Luc P. Beaudoin Canada
Weicheng Zhu United States
Vahid Farrahi Finland View profile →
Citations per field, relative to T Kwok
T Kwok · 1×
Citations per year, relative to T Kwok
T Kwok · 1×

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-authorship network of co-authors of T Kwok

This figure shows the co-authorship network connecting the top 25 collaborators of T Kwok. A scholar is included among the top collaborators of T 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 T Kwok. T Kwok is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

17 of 17 papers shown
# Work Indexed citations
1 0
2 3
3 0
4 4
5 24
6 8
7 3
8 10
9 43
10 1
11 15
12 56
13 1
14
Nonlinear system dynamics in the normalisation process of a self-organising neural network for combinatorial optimisation
1
15 64
16 10
17 5

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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