Lei Ai

3.6k total citations
45 papers, 1.5k citations indexed

About

Lei Ai is a scholar working on Cognitive Neuroscience, Water Science and Technology and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, Lei Ai has authored 45 papers receiving a total of 1.5k indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Cognitive Neuroscience, 11 papers in Water Science and Technology and 7 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Lei Ai's work include Hydrology and Watershed Management Studies (9 papers), Functional Brain Connectivity Studies (9 papers) and Neural dynamics and brain function (6 papers). Lei Ai is often cited by papers focused on Hydrology and Watershed Management Studies (9 papers), Functional Brain Connectivity Studies (9 papers) and Neural dynamics and brain function (6 papers). Lei Ai collaborates with scholars based in China, United States and Switzerland. Lei Ai's co-authors include Zhihua Shi, Nufang Fang, Xudong Huang, Huade Zhu, Gao‐Lin Wu, Wen Yin, Tony Ro, Xiaobo Huang, Weihong Liao and Xiangmin Li and has published in prestigious journals such as Circulation, Journal of Clinical Oncology and SHILAP Revista de lepidopterología.

In The Last Decade

Lei Ai

41 papers receiving 1.5k citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Lei Ai China 18 568 480 402 309 265 45 1.5k
Xiao Yang United States 28 642 1.1× 94 0.2× 247 0.6× 549 1.8× 200 0.8× 98 2.3k
Kris Johnson United States 23 525 0.9× 158 0.3× 335 0.8× 359 1.2× 169 0.6× 36 3.9k
Ning Ma China 39 1.5k 2.6× 204 0.4× 481 1.2× 297 1.0× 406 1.5× 133 4.3k
Junjing Wang China 34 135 0.2× 273 0.6× 1.1k 2.8× 656 2.1× 80 0.3× 71 2.9k
Yanxia Pan China 25 264 0.5× 482 1.0× 105 0.3× 295 1.0× 183 0.7× 70 1.6k
Lijun Zuo China 30 228 0.4× 278 0.6× 57 0.1× 583 1.9× 319 1.2× 105 2.8k
W. W. Nelson United States 29 227 0.4× 1.1k 2.3× 209 0.5× 215 0.7× 121 0.5× 70 2.5k
Efstathios Diamantopoulos Germany 22 172 0.3× 294 0.6× 75 0.2× 60 0.2× 457 1.7× 82 1.5k

Countries citing papers authored by Lei Ai

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authorship network of co-authors of Lei Ai

This figure shows the co-authorship network connecting the top 25 collaborators of Lei Ai. A scholar is included among the top collaborators of Lei Ai based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Lei Ai. Lei Ai is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Ai, Lei, He Chen, Yu Qiu, et al.. (2025). Joint Fine-Grained Representation Learning and Masked Relational Modeling for EEG-Based Automatic Sleep Staging in Fabric Space. IEEE Journal of Biomedical and Health Informatics. 30(1). 230–242. 1 indexed citations
2.
Li, Tian, Lei Ai, Qingshan Yang, et al.. (2025). Short-term wind power prediction based on multiscale numerical simulation coupled with deep learning. Renewable Energy. 246. 122951–122951. 10 indexed citations
3.
Ji, Xiang, Bairen Pang, Lei Ai, et al.. (2025). Dimethoate-induced inflammation results in neurodevelopmental toxicity in zebrafish larvae. Chemico-Biological Interactions. 420. 111679–111679.
4.
5.
Liu, Zongzhi, Tomi Jun, Meng Ma, et al.. (2024). Optimizing Clinical Trial Eligibility Design Using Natural Language Processing Models and Real-World Data: Algorithm Development and Validation. PubMed Central. 3. e50800–e50800. 2 indexed citations
6.
Li, Xinhui, Nathália Bianchini Esper, Lei Ai, et al.. (2024). Moving beyond processing- and analysis-related variation in resting-state functional brain imaging. Nature Human Behaviour. 8(10). 2003–2017. 11 indexed citations
7.
Zheng, Deyou, Christopher M. Black, Behzad Bidadi, et al.. (2024). Sequential Treatment Use in Clinical Practice for U.S. Patients with Recurrent/Metastatic Head and Neck Squamous Cell Carcinoma (R/M HNSCC). International Journal of Radiation Oncology*Biology*Physics. 118(5). e34–e34.
8.
Black, Christopher M., Gleicy M. Hair, Lei Ai, et al.. (2024). Real-world use of first-line pembrolizumab + platinum + taxane combination regimens in recurrent / metastatic head and neck squamous cell carcinoma. Frontiers in Oncology. 14. 1348045–1348045. 4 indexed citations
9.
Liu, Zongzhi, Urmila Chandran, Iftekhar Kalsekar, et al.. (2023). Detecting Ground Glass Opacity Features in Patients With Lung Cancer: Automated Extraction and Longitudinal Analysis via Deep Learning–Based Natural Language Processing. SHILAP Revista de lepidopterología. 2. e44537–e44537. 6 indexed citations
10.
11.
Liu, Zongzhi, David E. Cohn, Mingwei Zhang, et al.. (2023). Analysis of real-world data to investigate evolving treatment sequencing patterns in advanced non-small cell lung cancers and their impact on survival. Journal of Thoracic Disease. 15(5). 2438–2449. 1 indexed citations
12.
Jin, Lei, Lei Ai, Mitchell K. Higashi, et al.. (2022). HSD34 Treatment Patterns and Healthcare-Resource Utilization Among Chronic Rhinosinusitis with Nasal Polyps Patients: In the New Era of Biologics. Value in Health. 25(7). S486–S486. 1 indexed citations
13.
Wang, Xindi, Xinhui Li, Jae Wook Cho, et al.. (2021). U-net model for brain extraction: Trained on humans for transfer to non-human primates. NeuroImage. 235. 118001–118001. 38 indexed citations
14.
Ai, Lei, R. Cameron Craddock, Nim Tottenham, et al.. (2020). Is it time to switch your T1W sequence? Assessing the impact of prospective motion correction on the reliability and quality of structural imaging. NeuroImage. 226. 117585–117585. 19 indexed citations
15.
Yang, Zhen, Qawi K. Telesford, Alexandre R. Franco, et al.. (2020). Measurement reliability for individual differences in multilayer network dynamics: Cautions and considerations. NeuroImage. 225. 117489–117489. 25 indexed citations
16.
Ai, Lei, Ting Xu, Stanley J. Colcombe, et al.. (2019). Evaluating fMRI-Based Estimation of Eye Gaze During Naturalistic Viewing. Cerebral Cortex. 30(3). 1171–1184. 21 indexed citations
17.
Petroni, Agustín, Samantha Cohen, Lei Ai, et al.. (2018). The Variability of Neural Responses to Naturalistic Videos Change with Age and Sex. eNeuro. 5(1). ENEURO.0244–17.2017. 31 indexed citations
18.
Wei, Dongtao, Kaixiang Zhuang, Lei Ai, et al.. (2018). Data Descriptor: Structural and functional brain scans from the cross-sectional Southwest University adult lifespan dataset. Scientific Data. 5. 3 indexed citations
19.
O’Connor, David, Natan Vega Potler, Ting Xu, et al.. (2017). The Healthy Brain Network Serial Scanning Initiative: a resource for evaluating inter-individual differences and their reliabilities across scan conditions and sessions. GigaScience. 6(2). 1–14. 68 indexed citations
20.
Shi, Zhihua, Huade Zhu, Jia Chen, Nufang Fang, & Lei Ai. (2012). [Spatial heterogeneity of soil moisture and its relationships with environmental factors at small catchment level].. PubMed. 23(4). 889–95. 4 indexed citations

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.

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