Lei Ai
Impact in
- Soil Science top 2%
- Soil erosion and sediment transport
- Water Science and Technology top 2%
- Hydrology and Watershed Management Studies
- Water Quality and Pollution Assessment
Papers in
-
- Functional Brain Connectivity Studies 9
- Neural dynamics and brain function 6
-
- Hydrology and Watershed Management Studies 9
- Co-authors
- Zhihua Shi (12 shared papers)Nufang Fang (7 shared papers)Xudong Huang (3 shared papers)Huade Zhu (4 shared papers)Gao‐Lin Wu (2 shared papers)Wen Yin (3 shared papers)Tony Ro (2 shared papers)Weihong Liao (1 shared paper)
- Journals
- Journal of Hydrology (4 papers)NeuroImage (4 papers)Scientific Data (2 papers)Geomorphology (2 papers)Journal of Clinical Oncology (2 papers)
- Partner nations
- United StatesChinaSwitzerland
In The Last Decade
Lei Ai
39 papers receiving 1.5k citations
Peers
Comparison fields: 5 of 119
- Soil Science 483
- Water Science and Technology 568
- Cognitive Neuroscience 394
- Environmental Engineering 270
- Environmental Chemistry 136
Countries citing papers authored by Lei Ai
This map shows the geographic impact of Lei Ai'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 Lei Ai with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Lei Ai more than expected).
Fields of papers citing papers by Lei Ai
This network shows the impact of papers produced by Lei Ai. 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 Lei Ai. The network helps show where Lei Ai may publish in the future.
Co-authors
The 25 scholars most cited alongside Lei Ai, 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 44 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2013 | 226 | |
| 2 | 2012 | 122 | |
| 3 | 2015 | 117 | |
| 4 | 2018 | 116 | |
| 5 | 2012 | 109 | |
| 6 | 2015 | 109 | |
| 7 | 2014 | 107 | |
| 8 | 2013 | 85 | |
| 9 | 2013 | 72 | |
| 10 | 2017 | 69 | |
| 11 | 2020 | 67 | |
| 12 | 2016 | 64 | |
| 13 | 2021 | 40 | |
| 14 | 2018 | 33 | |
| 15 | 2020 | 26 | |
| 16 | 2019 | 22 | |
| 17 | 2013 | 21 | |
| 18 | 2020 | 19 | |
| 19 | 2025 | 18 | |
| 20 | 2024 | 14 |
About Lei Ai
Lei Ai is a scholar working on Cognitive Neuroscience, Water Science and Technology, Radiology, Nuclear Medicine and Imaging, Soil Science and Artificial Intelligence, having authored 44 papers that have together received 1.5k indexed citations. Recurring topics across this work include Functional Brain Connectivity Studies (9 papers), Hydrology and Watershed Management Studies (9 papers), Soil erosion and sediment transport (6 papers), Neural dynamics and brain function (6 papers), Advanced Neuroimaging Techniques and Applications (4 papers), Advanced MRI Techniques and Applications (4 papers), Soil and Water Nutrient Dynamics (3 papers) and Hydrology and Sediment Transport Processes (3 papers). The work is most often cited by research in Soil Science (483 citations), Water Science and Technology (568 citations), Cognitive Neuroscience (394 citations), Environmental Engineering (270 citations) and Environmental Chemistry (136 citations). Lei Ai has collaborated with scholars based in United States, China and Switzerland. Frequent co-authors include Zhihua Shi, Nufang Fang, Xudong Huang, Huade Zhu, Gao‐Lin Wu, Wen Yin, Tony Ro, Weihong Liao, Xiaobo Huang and Xiangmin Li. Their work appears in journals such as Journal of Hydrology, NeuroImage, Scientific Data, Geomorphology and Journal of Clinical Oncology.
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.