Junyi Li
Impact in
- Artificial Intelligence top 10%
- Topic Modeling
- Natural Language Processing Techniques
- Advanced Graph Neural Networks
- Domain Adaptation and Few-Shot Learning
- Text Readability and Simplification
Papers in
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- Topic Modeling 13
- Natural Language Processing Techniques 10
- Domain Adaptation and Few-Shot Learning 3
- Text Readability and Simplification 3
- Speech and dialogue systems 2
- Machine Learning in Healthcare 2
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- Multimodal Machine Learning Applications 5
- Co-authors
- Wayne Xin Zhao (11 shared papers)Ji-Rong Wen (13 shared papers)Tianyi Tang (9 shared papers)Jian‐Yun Nie (6 shared papers)Yifan Du (3 shared papers)Zikang Liu (1 shared paper)Nicholas Jing Yuan (1 shared paper)Zhicheng Wei (1 shared paper)
- Journals
- ACM Computing Surveys (1 paper)Lecture notes in computer science (1 paper)Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence (1 paper)Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (1 paper)
- Partner nations
- ChinaCanadaUnited States
In The Last Decade
Junyi Li
17 papers receiving 329 citations
Junyi Li's Hit Papers
Peers
Comparison fields: 5 of 70
- Artificial Intelligence 213
- Health Informatics 8
- Computer Vision and Pattern Recognition 103
- Information Systems 38
- Signal Processing 16
Countries citing papers authored by Junyi Li
This map shows the geographic impact of Junyi 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 Junyi Li with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Junyi Li more than expected).
Fields of papers citing papers by Junyi Li
This network shows the impact of papers produced by Junyi 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 Junyi Li. The network helps show where Junyi Li may publish in the future.
Co-authors
The 25 scholars most cited alongside Junyi 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 | 2022 | 101 | |
| 2 | Pre-Trained Language Models for Text Generation: A Survey Hit paper breakdown → | 2024 | 90 |
| 3 | 2021 | 30 | |
| 4 | 2024 | 26 | |
| 5 | 2020 | 19 | |
| 6 | 2022 | 18 | |
| 7 | 2023 | 11 | |
| 8 | 2023 | 9 | |
| 9 | 2022 | 7 | |
| 10 | 2023 | 6 | |
| 11 | 2023 | 6 | |
| 12 | 2022 | 5 | |
| 13 | 2023 | 4 | |
| 14 | 2024 | 3 | |
| 15 | Leveraging Class Hierarchy for Code Comprehension | 2020 | 1 |
| 16 | 2025 | 1 | |
| 17 | 2020 | 1 |
About Junyi Li
Junyi Li is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition, Information Systems, General Social Sciences and Infectious Diseases, having authored 17 papers that have together received 338 indexed citations. Recurring topics across this work include Topic Modeling (13 papers), Natural Language Processing Techniques (10 papers), Multimodal Machine Learning Applications (5 papers), Domain Adaptation and Few-Shot Learning (3 papers), Text Readability and Simplification (3 papers), Speech and dialogue systems (2 papers), Machine Learning in Healthcare (2 papers) and Recommender Systems and Techniques (2 papers). The work is most often cited by research in Artificial Intelligence (213 citations), Health Informatics (8 citations), Computer Vision and Pattern Recognition (103 citations), Information Systems (38 citations) and Signal Processing (16 citations). Junyi Li has collaborated with scholars based in China, Canada and United States. Frequent co-authors include Wayne Xin Zhao, Ji-Rong Wen, Tianyi Tang, Jian‐Yun Nie, Yifan Du, Zikang Liu, Nicholas Jing Yuan, Zhicheng Wei, Jie Chen and Ruiyang Ren. Their work appears in journals such as ACM Computing Surveys, Lecture notes in computer science, Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence and Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies.
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.