Toby Jia-Jun Li
- Human-Computer Interaction top 2%
- Innovative Human-Technology Interaction 7
- Persona Design and Applications 5
- Health Informatics top 10%
- Software top 10%
- Artificial Intelligence top 5%
- Topic Modeling 17
- Speech and dialogue systems 9
- Natural Language Processing Techniques 9
- AI in Service Interactions 8
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- Software Engineering Research 10
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- Privacy, Security, and Data Protection 4
- Co-authors
- Brad A. MyersAmos AzariaZheng ZhangOriana RivaHaijun XiaDaniel RitchieYing XuTongshuang Wu
- Journals
- Proceedings of the ACM on Human-Computer Interaction (3 papers)ACM Transactions on Interactive Intelligent Systems (1 paper)ACM Transactions on Software Engineering and Methodology (1 paper)
- Partner nations
- United StatesChinaUnited Kingdom
In The Last Decade
Toby Jia-Jun Li
53 papers receiving 710 citations
Hit Papers
Peers
Comparison fields: 5 of 83
- Human-Computer Interaction 141
- Health Informatics 22
- Software 40
- Computer Science Applications 54
- Artificial Intelligence 319
Countries citing papers authored by Toby Jia-Jun Li
This map shows the geographic impact of Toby Jia-Jun Li'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 Toby Jia-Jun Li with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Toby Jia-Jun Li more than expected).
Fields of papers citing papers by Toby Jia-Jun Li
This network shows the impact of papers produced by Toby Jia-Jun Li. 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 Toby Jia-Jun Li. The network helps show where Toby Jia-Jun Li may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Toby Jia-Jun Li, 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 | 2026 | 0 | |
| 2 | 2026 | 0 | |
| 3 | 2025 | 0 | |
| 4 | 2025 | 0 | |
| 5 | 2025 | 0 | |
| 6 | Limitations of the LLM-as-a-Judge Approach for Evaluating LLM Outputs in Expert Knowledge Tasksbreakdown → | 2025 | 17 |
| 7 | 2025 | 2 | |
| 8 | 2025 | 1 | |
| 9 | 2025 | 1 | |
| 10 | 2025 | 1 | |
| 11 | 2024 | 1 | |
| 12 | 2024 | 1 | |
| 13 | 2024 | 6 | |
| 14 | 2024 | 4 | |
| 15 | 2024 | 11 | |
| 16 | 2024 | 6 | |
| 17 | 2024 | 5 | |
| 18 | 2024 | 11 | |
| 19 | 2020 | 10 | |
| 20 | Interactive Task and Concept Learning from Natural Language Instructions and GUI Demonstrations | 2019 | 1 |
About Toby Jia-Jun Li
Toby Jia-Jun Li is a scholar working on Human-Computer Interaction, Artificial Intelligence and Information Systems, having authored 64 papers that have together received 722 indexed citations. Recurring topics across this work include Topic Modeling (17 papers), Software Engineering Research (10 papers), Speech and dialogue systems (9 papers), Natural Language Processing Techniques (9 papers), AI in Service Interactions (8 papers), Innovative Human-Technology Interaction (7 papers), Persona Design and Applications (5 papers) and Privacy, Security, and Data Protection (4 papers). The work is most often cited by research in Human-Computer Interaction (141 citations), Health Informatics (22 citations) and Software (40 citations). Toby Jia-Jun Li has collaborated with scholars based in United States, China and United Kingdom. Frequent co-authors include Brad A. Myers, Amos Azaria, Zheng Zhang, Oriana Riva, Haijun Xia, Daniel Ritchie, Ying Xu, Tongshuang Wu, Dakuo Wang and Bingsheng Yao. Their work appears in journals such as Proceedings of the ACM on Human-Computer Interaction, ACM Transactions on Interactive Intelligent Systems, ACM Transactions on Software Engineering and Methodology, Journal of Systems and Software and IEEE Transactions on Software Engineering.
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.