Brian Y. Lim
Impact in
- Health Informatics top 0.5%
- Artificial Intelligence in Healthcare and Education
- Human-Computer Interaction top 1%
- Innovative Human-Technology Interaction
Papers in
-
- Context-Aware Activity Recognition Systems 15
-
- Explainable Artificial Intelligence (XAI) 11
- Machine Learning in Healthcare 5
- Co-authors
- Anind K. Dey (7 shared papers)Ashraf Abdul (4 shared papers)Danding Wang (4 shared papers)Qian Yang (2 shared papers)Daniel Avrahami (1 shared paper)Mohan Kankanhalli (2 shared papers)Jo Vermeulen (1 shared paper)Leye Wang (3 shared papers)
- Journals
- IEEE Transactions on Visualization and Computer Graphics (3 papers)Big Data and Cognitive Computing (1 paper)Proceedings of the ACM on Interactive Mobile Wearable and Ubiquitous Technologies (1 paper)IEEE Transactions on Vehicular Technology (1 paper)Energy Efficiency (1 paper)
- Partner nations
- SingaporeUnited StatesChina
In The Last Decade
Brian Y. Lim
47 papers receiving 2.4k citations
Brian Y. Lim's Hit Papers
Peers
Comparison fields: 5 of 121
- Health Informatics 238
- Human-Computer Interaction 348
- Safety Research 463
- Computer Science Applications 291
- Artificial Intelligence 1.3k
Countries citing papers authored by Brian Y. Lim
This map shows the geographic impact of Brian Y. Lim'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 Y. Lim with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Brian Y. Lim more than expected).
Fields of papers citing papers by Brian Y. Lim
This network shows the impact of papers produced by Brian Y. Lim. 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 Y. Lim. The network helps show where Brian Y. Lim may publish in the future.
Co-authors
The 25 scholars most cited alongside Brian Y. Lim, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 54 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2019 | 489 | |
| 2 | Trends and Trajectories for Explainable, Accountable and Intelligible Systems Hit paper breakdown → | 2018 | 440 |
| 3 | 2009 | 354 | |
| 4 | 2009 | 138 | |
| 5 | 2020 | 95 | |
| 6 | 2010 | 88 | |
| 7 | 2020 | 86 | |
| 8 | 2016 | 80 | |
| 9 | 2018 | 71 | |
| 10 | 2011 | 68 | |
| 11 | 2009 | 67 | |
| 12 | 2020 | 49 | |
| 13 | 2018 | 46 | |
| 14 | 2022 | 41 | |
| 15 | 2018 | 38 | |
| 16 | 2010 | 37 | |
| 17 | 2011 | 36 | |
| 18 | 2019 | 20 | |
| 19 | 2019 | 19 | |
| 20 | 2023 | 19 |
About Brian Y. Lim
Brian Y. Lim is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence, Information Systems and Management, Human-Computer Interaction and Computer Networks and Communications, having authored 54 papers that have together received 2.5k indexed citations. Recurring topics across this work include Context-Aware Activity Recognition Systems (15 papers), Explainable Artificial Intelligence (XAI) (11 papers), Innovative Human-Technology Interaction (9 papers), Personal Information Management and User Behavior (8 papers), Mobile Crowdsensing and Crowdsourcing (6 papers), Scientific Computing and Data Management (5 papers), Machine Learning in Healthcare (5 papers) and IoT and Edge/Fog Computing (4 papers). The work is most often cited by research in Health Informatics (238 citations), Human-Computer Interaction (348 citations), Safety Research (463 citations), Computer Science Applications (291 citations) and Artificial Intelligence (1.3k citations). Brian Y. Lim has collaborated with scholars based in Singapore, United States and China. Frequent co-authors include Anind K. Dey, Ashraf Abdul, Danding Wang, Qian Yang, Daniel Avrahami, Mohan Kankanhalli, Jo Vermeulen, Leye Wang, Dingqi Yang and Daqing Zhang. Their work appears in journals such as IEEE Transactions on Visualization and Computer Graphics, Big Data and Cognitive Computing, Proceedings of the ACM on Interactive Mobile Wearable and Ubiquitous Technologies, IEEE Transactions on Vehicular Technology and Energy Efficiency.
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.