Chung Tin

2.0k citations
57 papers · 1.4k · h-index 22

Impact in

Papers in

    • EEG and Brain-Computer Interfaces 8
    • Neural dynamics and brain function 8
    • RNA Interference and Gene Delivery 10
    • Advanced biosensing and bioanalysis techniques 10
    • CRISPR and Genetic Engineering 7

Chung Tin

57 papers receiving 1.4k citations

Peers

Chung Tin
Comparison fields: 5 of 125
  • Cognitive Neuroscience 579
  • Endocrine and Autonomic Systems 111
  • Cardiology and Cardiovascular Medicine 343
  • Human-Computer Interaction 92
  • Biomedical Engineering 521
Replace Makoto Miyazaki with:
Makoto Miyazaki Japan
William Craelius United States
Philippe Pouliot Canada
Dong‐Joo Kim South Korea
Stavros Zanos United States
Xiaoming Deng China
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Chung Tin relative to Makoto Miyazaki Japan Makoto Miyazaki's profile →
Citations per field
00.5×5.1×
Makoto Miyazaki · 1×
Citations per year

Countries citing papers authored by Chung Tin

Since Specialization
Citations

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

Fields of papers citing papers by Chung Tin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 57 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2017280
2 2018206
3 200582
4 202057
5 200755
6 201848
7 201546
8 201841
9 201536
10 201934
11 202234
12 201534
13 201930
14 201529
15 202128
16 201626
17 202225
18 201624
19 202122
20 202222

About Chung Tin

Chung Tin is a scholar working on Cognitive Neuroscience, Molecular Biology, Cellular and Molecular Neuroscience, Cardiology and Cardiovascular Medicine and Endocrine and Autonomic Systems, having authored 57 papers that have together received 1.4k indexed citations. Recurring topics across this work include RNA Interference and Gene Delivery (10 papers), Advanced biosensing and bioanalysis techniques (10 papers), EEG and Brain-Computer Interfaces (8 papers), Neuroscience of respiration and sleep (8 papers), Neural dynamics and brain function (8 papers), Neuroscience and Neural Engineering (7 papers), CRISPR and Genetic Engineering (7 papers) and Heart Rate Variability and Autonomic Control (5 papers). The work is most often cited by research in Cognitive Neuroscience (579 citations), Endocrine and Autonomic Systems (111 citations), Cardiology and Cardiovascular Medicine (343 citations), Human-Computer Interaction (92 citations) and Biomedical Engineering (521 citations). Chung Tin has collaborated with scholars based in Hong Kong, China and United States. Frequent co-authors include Xiaolong Zhai, Chi‐Sang Poon, Beth Jelfs, Rosa H. M. Chan, Cia‐Hin Lau, Pik Kwan Lo, Gang Song, Ling Sum Liu, Miu Shan Chan and Dick Yan Tam. Their work appears in journals such as Respiratory Physiology & Neurobiology, Expert Systems with Applications, Journal of Neural Engineering, Advances in experimental medicine and biology and ACS Applied Materials & Interfaces.

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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