Shaoxi Li
Impact in
- Environmental Engineering top 10%
- Hydrological Forecasting Using AI
- Water Science and Technology top 10%
- Hydrology and Watershed Management Studies
- Water Quality Monitoring Technologies
Papers in
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- Maritime Navigation and Safety 6
- Underwater Vehicles and Communication Systems 2
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- Advanced Neural Network Applications 3
- Context-Aware Activity Recognition Systems 2
- Co-authors
- Mingyang Pan (13 shared papers)Chi‐Hua Chen (2 shared papers)Jiayi Cao (1 shared paper)Zongying Liu (7 shared papers)Guanfeng Ji (1 shared paper)Jing Li (1 shared paper)Chu Kiong Loo (3 shared papers)Bill Moran (1 shared paper)
In The Last Decade
Shaoxi Li
21 papers receiving 251 citations
Peers
Comparison fields: 5 of 73
- Environmental Engineering 94
- Water Science and Technology 76
- Ocean Engineering 40
- Global and Planetary Change 50
- Computer Vision and Pattern Recognition 36
Countries citing papers authored by Shaoxi Li
This map shows the geographic impact of Shaoxi 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 Shaoxi Li with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Shaoxi Li more than expected).
Fields of papers citing papers by Shaoxi Li
This network shows the impact of papers produced by Shaoxi 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 Shaoxi Li. The network helps show where Shaoxi Li may publish in the future.
Co-authors
The 25 scholars most cited alongside Shaoxi 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 30 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2020 | 154 | |
| 2 | 2021 | 33 | |
| 3 | 2021 | 12 | |
| 4 | 2022 | 7 | |
| 5 | 2021 | 7 | |
| 6 | 2021 | 7 | |
| 7 | 2023 | 7 | |
| 8 | 2021 | 6 | |
| 9 | 2025 | 5 | |
| 10 | 2021 | 4 | |
| 11 | 2020 | 3 | |
| 12 | 2024 | 3 | |
| 13 | 2012 | 2 | |
| 14 | 2021 | 1 | |
| 15 | 2021 | 1 | |
| 16 | 2025 | 1 | |
| 17 | 2025 | 1 | |
| 18 | 2010 | 1 | |
| 19 | 2022 | 1 | |
| 20 | 2022 | 1 |
About Shaoxi Li
Shaoxi Li is a scholar working on Ocean Engineering, Computer Vision and Pattern Recognition, Artificial Intelligence, Electrical and Electronic Engineering and Computer Networks and Communications, having authored 30 papers that have together received 258 indexed citations. Recurring topics across this work include Maritime Navigation and Safety (6 papers), Advanced Neural Network Applications (3 papers), Advanced Database Systems and Queries (2 papers), Context-Aware Activity Recognition Systems (2 papers), Underwater Vehicles and Communication Systems (2 papers), Service-Oriented Architecture and Web Services (2 papers), Water Quality Monitoring Technologies (2 papers) and Advanced Memory and Neural Computing (2 papers). The work is most often cited by research in Environmental Engineering (94 citations), Water Science and Technology (76 citations), Ocean Engineering (40 citations), Global and Planetary Change (50 citations) and Computer Vision and Pattern Recognition (36 citations). Shaoxi Li has collaborated with scholars based in China, Malaysia and Mongolia. Frequent co-authors include Mingyang Pan, Chi‐Hua Chen, Jiayi Cao, Zongying Liu, Guanfeng Ji, Jing Li, Chu Kiong Loo, Bill Moran, Tao Liu and Shuai Sun. Their work appears in journals such as Journal of Advanced Transportation, Wireless Communications and Mobile Computing, Neural Processing Letters, IEEE Transactions on Vehicular Technology and Applied Sciences.
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.