Brian Tse
Impact in
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- Dental Research and COVID-19
Papers in
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- Manufacturing Process and Optimization 2
- Industrial Vision Systems and Defect Detection 2
- Digital Transformation in Industry 1
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- Dental Research and COVID-19 1
- Co-authors
- Barry Quinn (2 shared papers)Zhijing Jin (1 shared paper)Mrinmaya Sachan (1 shared paper)Rada Mihalcea (1 shared paper)William Harwin (3 shared papers)Jonathan San Diego (1 shared paper)Mary Lynne Derrington (1 shared paper)Tim Newton (2 shared papers)
- Journals
- Journal of Dental Research (1 paper)CentAUR (University of Reading) (1 paper)Research Portal (King's College London) (1 paper)
- Partner nations
- United StatesUnited KingdomGermany
In The Last Decade
Brian Tse
6 papers receiving 28 citations
Peers
Comparison fields: 5 of 22
- General Dentistry 2
- Family Practice 2
- Health Informatics 1
- Computer Graphics and Computer-Aided Design 2
- Industrial and Manufacturing Engineering 5
Countries citing papers authored by Brian Tse
This map shows the geographic impact of Brian Tse'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 Brian Tse with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Brian Tse more than expected).
Fields of papers citing papers by Brian Tse
This network shows the impact of papers produced by Brian Tse. 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 Brian Tse. The network helps show where Brian Tse may publish in the future.
Co-authors
The 15 scholars most cited alongside Brian Tse, 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 | 2021 | 12 | |
| 2 | 2015 | 6 | |
| 3 | 2024 | 4 | |
| 4 | 2024 | 3 | |
| 5 | Methods to teach and evaluate dental clinical skills using Haptics | 2008 | 2 |
| 6 | Learning dental-clinical skills with technology-enhanced models | 2009 | 1 |
About Brian Tse
Brian Tse is a scholar working on Industrial and Manufacturing Engineering, General Dentistry, Sociology and Political Science, Computational Mechanics and Artificial Intelligence, having authored 6 papers that have together received 28 indexed citations. Recurring topics across this work include Manufacturing Process and Optimization (2 papers), Industrial Vision Systems and Defect Detection (2 papers), Dental Research and COVID-19 (1 paper), Soft Robotics and Applications (1 paper), Advanced Statistical Process Monitoring (1 paper), Misinformation and Its Impacts (1 paper), Digital Transformation in Industry (1 paper) and Fluid Dynamics Simulations and Interactions (1 paper). The work is most often cited by research in General Dentistry (2 citations), Family Practice (2 citations), Health Informatics (1 citation), Computer Graphics and Computer-Aided Design (2 citations) and Industrial and Manufacturing Engineering (5 citations). Brian Tse has collaborated with scholars based in United States, United Kingdom and Germany. Frequent co-authors include Barry Quinn, Zhijing Jin, Mrinmaya Sachan, Rada Mihalcea, William Harwin, Jonathan San Diego, Mary Lynne Derrington, Tim Newton, Stephen Dunne and Mark Woolford. Their work appears in journals such as Journal of Dental Research, CentAUR (University of Reading) and Research Portal (King's College London).
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.