Bryan Wilie
Impact in
- Health Informatics top 2%
- Artificial Intelligence in Healthcare and Education
- Artificial Intelligence top 5%
- Topic Modeling
- Natural Language Processing Techniques
- Sentiment Analysis and Opinion Mining
- Advanced Text Analysis Techniques
- AI in Service Interactions
- Speech and dialogue systems
- Advanced Graph Neural Networks
Papers in
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- Topic Modeling 10
- Natural Language Processing Techniques 8
- Speech and dialogue systems 4
- Edcuational Technology Systems 2
- Anomaly Detection Techniques and Applications 2
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- Video Surveillance and Tracking Methods 2
- Co-authors
- Pascale Fung (12 shared papers)Samuel Cahyawijaya (13 shared papers)Ziwei Ji (5 shared papers)Nayeon Lee (2 shared papers)Tiezheng Yu (2 shared papers)Holy Lovenia (6 shared papers)Yan Xu (3 shared papers)Willy Chung (3 shared papers)
- Journals
- Rare & Special e-Zone (The Hong Kong University of Science and Technology) (10 papers)Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing (1 paper)
In The Last Decade
Bryan Wilie
14 papers receiving 520 citations
Bryan Wilie's Hit Papers
Peers
Comparison fields: 5 of 87
- Health Informatics 81
- Artificial Intelligence 368
- Computer Science Applications 27
- Information Systems 85
- Software 14
Countries citing papers authored by Bryan Wilie
This map shows the geographic impact of Bryan Wilie'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 Bryan Wilie with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Bryan Wilie more than expected).
Fields of papers citing papers by Bryan Wilie
This network shows the impact of papers produced by Bryan Wilie. 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 Bryan Wilie. The network helps show where Bryan Wilie may publish in the future.
Co-authors
The 25 scholars most cited alongside Bryan Wilie, 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 | A Multitask, Multilingual, Multimodal Evaluation of ChatGPT on Reasoning, Hallucination, and Interactivity Hit paper breakdown → | 2023 | 404 |
| 2 | 2021 | 51 | |
| 3 | 2020 | 34 | |
| 4 | 2023 | 17 | |
| 5 | 2024 | 6 | |
| 6 | 2023 | 5 | |
| 7 | 2023 | 5 | |
| 8 | 2022 | 5 | |
| 9 | 2024 | 4 | |
| 10 | 2022 | 2 | |
| 11 | 2018 | 2 | |
| 12 | 2022 | 1 | |
| 13 | 2023 | 1 | |
| 14 | 2018 | 1 | |
| 15 | 2025 | 0 |
About Bryan Wilie
Bryan Wilie is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition, Social Psychology, Cognitive Neuroscience and Health Informatics, having authored 15 papers that have together received 538 indexed citations. Recurring topics across this work include Topic Modeling (10 papers), Natural Language Processing Techniques (8 papers), Speech and dialogue systems (4 papers), Edcuational Technology Systems (2 papers), Anomaly Detection Techniques and Applications (2 papers), Video Surveillance and Tracking Methods (2 papers), Hallucinations in medical conditions (1 paper) and Mental Health via Writing (1 paper). The work is most often cited by research in Health Informatics (81 citations), Artificial Intelligence (368 citations), Computer Science Applications (27 citations), Information Systems (85 citations) and Software (14 citations). Bryan Wilie has collaborated with scholars based in Hong Kong, Indonesia and Japan. Frequent co-authors include Pascale Fung, Samuel Cahyawijaya, Ziwei Ji, Nayeon Lee, Tiezheng Yu, Holy Lovenia, Yan Xu, Willy Chung, Yejin Bang and Wenliang Dai. Their work appears in journals such as Rare & Special e-Zone (The Hong Kong University of Science and Technology) and Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing.
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.