Terence Hui
Impact in
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- IoT and Edge/Fog Computing
- Toxicology top 10%
Papers in
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- Context-Aware Activity Recognition Systems 4
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- Innovative Microfluidic and Catalytic Techniques Innovation 2
- Wireless Body Area Networks 1
- Co-authors
- R. Simon Sherratt (11 shared papers)Daniel Díaz-Sánchez (3 shared papers)Rachel McCrindle (5 shared papers)Parastou Donyai (5 shared papers)Audie Rice (3 shared papers)Simon C. Andrews (1 shared paper)Fuqian Shi (2 shared papers)Nilanjan Dey (2 shared papers)
- Journals
- Biosensors (2 papers)Biochemical and Biophysical Research Communications (1 paper)Journal of Immunotherapy (1 paper)Future Generation Computer Systems (1 paper)Archives of Biochemistry and Biophysics (1 paper)
- Partner nations
- United KingdomUnited StatesSpain
In The Last Decade
Terence Hui
15 papers receiving 652 citations
Peers
Comparison fields: 5 of 134
- Computer Networks and Communications 125
- Toxicology 17
- Experimental and Cognitive Psychology 64
- Business and International Management 10
- Media Technology 43
Countries citing papers authored by Terence Hui
This map shows the geographic impact of Terence Hui'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 Terence Hui with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Terence Hui more than expected).
Fields of papers citing papers by Terence Hui
This network shows the impact of papers produced by Terence Hui. 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 Terence Hui. The network helps show where Terence Hui may publish in the future.
Co-authors
The 25 scholars most cited alongside Terence Hui, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2016 | 239 | |
| 2 | 2020 | 69 | |
| 3 | 2018 | 60 | |
| 4 | 1995 | 49 | |
| 5 | 2004 | 48 | |
| 6 | 2003 | 44 | |
| 7 | 2020 | 38 | |
| 8 | 2020 | 31 | |
| 9 | 2014 | 31 | |
| 10 | 2016 | 17 | |
| 11 | 2021 | 13 | |
| 12 | 2021 | 13 | |
| 13 | 2021 | 10 | |
| 14 | 2017 | 4 | |
| 15 | 2019 | 3 |
About Terence Hui
Terence Hui is a scholar working on Computer Vision and Pattern Recognition, Biomedical Engineering, Molecular Biology, Computer Networks and Communications and Cognitive Neuroscience, having authored 15 papers that have together received 669 indexed citations. Recurring topics across this work include Context-Aware Activity Recognition Systems (4 papers), Galectins and Cancer Biology (2 papers), Innovative Microfluidic and Catalytic Techniques Innovation (2 papers), Green IT and Sustainability (1 paper), Olfactory and Sensory Function Studies (1 paper), Chemistry and Chemical Engineering (1 paper), Cancer-related Molecular Pathways (1 paper) and Wireless Body Area Networks (1 paper). The work is most often cited by research in Computer Networks and Communications (125 citations), Toxicology (17 citations), Experimental and Cognitive Psychology (64 citations), Business and International Management (10 citations) and Media Technology (43 citations). Terence Hui has collaborated with scholars based in United Kingdom, United States and Spain. Frequent co-authors include R. Simon Sherratt, Daniel Díaz-Sánchez, Rachel McCrindle, Parastou Donyai, Audie Rice, Simon C. Andrews, Fuqian Shi, Nilanjan Dey, Cornelia Bellamacina and Jaru Jancarik. Their work appears in journals such as Biosensors, Biochemical and Biophysical Research Communications, Journal of Immunotherapy, Future Generation Computer Systems and Archives of Biochemistry and Biophysics.
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.