Junyi Li
Impact in
- Artificial Intelligence top 10%
- Topic Modeling
- Natural Language Processing Techniques
- Domain Adaptation and Few-Shot Learning
-
- Online Learning and Analytics
Papers in
-
- Topic Modeling 7
- Natural Language Processing Techniques 3
- Domain Adaptation and Few-Shot Learning 1
-
- Online Learning and Analytics 2
- Co-authors
- Yun Tang (3 shared papers)Xiangen Hu (3 shared papers)Yangshuang Wang (3 shared papers)Si Chen (3 shared papers)Yang Chang (2 shared papers)Rongwen Yao (1 shared paper)Yunhui Zhang (2 shared papers)Weiting Liu (2 shared papers)
- Journals
- Journal of Hydrology Regional Studies (2 papers)Ecotoxicology and Environmental Safety (1 paper)Journal of Computers in Education (1 paper)Water (1 paper)International Journal of Low-Carbon Technologies (1 paper)
- Partner nations
- ChinaUnited StatesSingapore
In The Last Decade
Junyi Li
21 papers receiving 271 citations
Peers
Comparison fields: 5 of 44
- Artificial Intelligence 175
- Computer Science Applications 14
- Water Science and Technology 27
- Geochemistry and Petrology 8
- Health, Toxicology and Mutagenesis 14
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
Showing the 20 most-cited of 21 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2020 | 164 | |
| 2 | 2025 | 27 | |
| 3 | 2023 | 21 | |
| 4 | 2018 | 16 | |
| 5 | 2018 | 7 | |
| 6 | 2023 | 7 | |
| 7 | 2024 | 7 | |
| 8 | 2020 | 6 | |
| 9 | 2023 | 4 | |
| 10 | 2023 | 3 | |
| 11 | 2024 | 3 | |
| 12 | 2025 | 3 | |
| 13 | 2019 | 2 | |
| 14 | 2020 | 2 | |
| 15 | 2024 | 2 | |
| 16 | 2025 | 2 | |
| 17 | Text analysis with LIWC and Coh-Metrix: Portraying MOOCs Instructors. | 2017 | 1 |
| 18 | 2021 | 1 | |
| 19 | 2023 | 1 | |
| 20 | 2024 | 1 |
About Junyi Li
Junyi Li is a scholar working on Artificial Intelligence, Computer Science Applications, Water Science and Technology, Oceanography and Computer Vision and Pattern Recognition, having authored 21 papers that have together received 281 indexed citations. Recurring topics across this work include Topic Modeling (7 papers), Natural Language Processing Techniques (3 papers), Water Quality and Pollution Assessment (3 papers), Oceanographic and Atmospheric Processes (2 papers), Advanced Neural Network Applications (2 papers), Online Learning and Analytics (2 papers), Heavy Metal Exposure and Toxicity (1 paper) and Domain Adaptation and Few-Shot Learning (1 paper). The work is most often cited by research in Artificial Intelligence (175 citations), Computer Science Applications (14 citations), Water Science and Technology (27 citations), Geochemistry and Petrology (8 citations) and Health, Toxicology and Mutagenesis (14 citations). Junyi Li has collaborated with scholars based in China, United States and Singapore. Frequent co-authors include Yun Tang, Xiangen Hu, Yangshuang Wang, Si Chen, Yang Chang, Rongwen Yao, Yunhui Zhang, Weiting Liu, Xiaobing Zhou and Xingjun Zhang. Their work appears in journals such as Journal of Hydrology Regional Studies, Ecotoxicology and Environmental Safety, Journal of Computers in Education, Water and International Journal of Low-Carbon 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.