Junyi Li
Impact in
-
- Groundwater and Isotope Geochemistry
-
- Online Learning and Analytics
Papers in
-
- Topic Modeling 5
- Natural Language Processing Techniques 4
- Text Readability and Simplification 2
-
- Groundwater and Isotope Geochemistry 2
- Co-authors
- Xiangen Hu (2 shared papers)Yun Tang (2 shared papers)Meng Cao (1 shared paper)Yunhui Zhang (2 shared papers)Si Chen (3 shared papers)Weiting Liu (2 shared papers)Xiaobing Zhou (2 shared papers)Yang Chang (2 shared papers)
- Journals
- Journal of Hydrology Regional Studies (2 papers)Ecotoxicology and Environmental Safety (1 paper)Water (1 paper)Journal of Computers in Education (1 paper)International Journal of Low-Carbon Technologies (1 paper)
- Partner nations
- ChinaUnited States
In The Last Decade
Junyi Li
15 papers receiving 85 citations
Peers
Comparison fields: 5 of 47
- Geochemistry and Petrology 26
- Computer Science Applications 10
- Water Science and Technology 18
- Environmental Engineering 17
- Pollution 8
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 | 2025 | 24 | |
| 2 | 2023 | 17 | |
| 3 | 2018 | 15 | |
| 4 | 2020 | 6 | |
| 5 | 2023 | 6 | |
| 6 | 2023 | 4 | |
| 7 | 2024 | 3 | |
| 8 | 2023 | 3 | |
| 9 | 2025 | 2 | |
| 10 | 2025 | 2 | |
| 11 | 2019 | 2 | |
| 12 | 2024 | 1 | |
| 13 | Text analysis with LIWC and Coh-Metrix: Portraying MOOCs Instructors. | 2017 | 1 |
| 14 | 2023 | 1 | |
| 15 | 2024 | 1 | |
| 16 | 2025 | 0 | |
| 17 | 2024 | 0 |
About Junyi Li
Junyi Li is a scholar working on Artificial Intelligence, Geochemistry and Petrology, Environmental Engineering, Computer Science Applications and Water Science and Technology, having authored 17 papers that have together received 88 indexed citations. Recurring topics across this work include Topic Modeling (5 papers), Natural Language Processing Techniques (4 papers), Text Readability and Simplification (2 papers), Groundwater and Isotope Geochemistry (2 papers), Online Learning and Analytics (2 papers), Online and Blended Learning (1 paper), Innovation Policy and R&D (1 paper) and Groundwater and Watershed Analysis (1 paper). The work is most often cited by research in Geochemistry and Petrology (26 citations), Computer Science Applications (10 citations), Water Science and Technology (18 citations), Environmental Engineering (17 citations) and Pollution (8 citations). Junyi Li has collaborated with scholars based in China and United States. Frequent co-authors include Xiangen Hu, Yun Tang, Meng Cao, Yunhui Zhang, Si Chen, Weiting Liu, Xiaobing Zhou, Yang Chang, Xingjun Zhang and Ziyi Li. Their work appears in journals such as Journal of Hydrology Regional Studies, Ecotoxicology and Environmental Safety, Water, Journal of Computers in Education 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.