Lei Gao

7.2k total citations · 3 hit papers
203 papers, 4.9k citations indexed

About

Lei Gao is a scholar working on Environmental Engineering, Global and Planetary Change and Artificial Intelligence. According to data from OpenAlex, Lei Gao has authored 203 papers receiving a total of 4.9k indexed citations (citations by other indexed papers that have themselves been cited), including 41 papers in Environmental Engineering, 39 papers in Global and Planetary Change and 25 papers in Artificial Intelligence. Recurrent topics in Lei Gao's work include Environmental Impact and Sustainability (15 papers), Water resources management and optimization (12 papers) and Hydrology and Watershed Management Studies (11 papers). Lei Gao is often cited by papers focused on Environmental Impact and Sustainability (15 papers), Water resources management and optimization (12 papers) and Hydrology and Watershed Management Studies (11 papers). Lei Gao collaborates with scholars based in China, Australia and United States. Lei Gao's co-authors include Brett A. Bryan, Atakelty Hailu, Jeffery D. Connor, Yanqiong Ye, Hai Ren, Xiufeng Sun, Mark Stafford‐Smith, Jianguo Wu, Yun Chen and Zhifeng Liu and has published in prestigious journals such as Nature, Nature Communications and PLoS ONE.

In The Last Decade

Lei Gao

186 papers receiving 4.8k citations

Hit Papers

China’s response to a nat... 2017 2026 2020 2023 2018 2017 2017 250 500 750 1000

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Lei Gao China 35 1.7k 886 631 611 501 203 4.9k
Tao Pei China 40 2.3k 1.4× 1.2k 1.4× 780 1.2× 631 1.0× 505 1.0× 236 6.5k
Gilberto Câmara Brazil 34 2.0k 1.1× 645 0.7× 414 0.7× 1.2k 2.0× 402 0.8× 146 4.9k
Nengcheng Chen China 44 3.0k 1.8× 2.0k 2.2× 1.1k 1.7× 670 1.1× 336 0.7× 306 6.8k
Qingfeng Guan China 34 2.6k 1.5× 864 1.0× 217 0.3× 859 1.4× 263 0.5× 185 5.3k
Min Chen China 37 1.2k 0.7× 856 1.0× 585 0.9× 264 0.4× 183 0.4× 270 4.7k
Shaowen Wang United States 36 1.0k 0.6× 611 0.7× 282 0.4× 944 1.5× 278 0.6× 223 5.6k
Alexis Comber United Kingdom 38 2.3k 1.3× 783 0.9× 247 0.4× 1.4k 2.3× 362 0.7× 148 5.4k
Weidong Li United States 37 1.7k 1.0× 1.7k 1.9× 168 0.3× 585 1.0× 451 0.9× 179 4.8k
Brian Alan Johnson Japan 35 1.6k 0.9× 1.3k 1.5× 250 0.4× 1.8k 2.9× 173 0.3× 132 5.6k
Xiao Huang United States 39 1.5k 0.8× 692 0.8× 161 0.3× 727 1.2× 301 0.6× 289 4.9k

Countries citing papers authored by Lei Gao

Since Specialization
Citations

This map shows the geographic impact of Lei Gao'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 Gao with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Lei Gao more than expected).

Fields of papers citing papers by Lei Gao

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Lei Gao. 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 Gao. The network helps show where Lei Gao may publish in the future.

Co-authorship network of co-authors of Lei Gao

This figure shows the co-authorship network connecting the top 25 collaborators of Lei Gao. A scholar is included among the top collaborators of Lei Gao 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 Gao. Lei Gao 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.
Jiang, Xiaohong, et al.. (2025). Enhanced bearing fault diagnosis under strong noise: A deep residual network with combined attention mechanisms. Knowledge-Based Systems. 330. 114678–114678.
2.
Zhang, Xianqi, Bing Wei, Kuangrong Hao, et al.. (2025). Micro-KTNet: Microstructure knowledge transfer learning for fiber masterbatch agglomeration recognition. Journal of Industrial Textiles. 55.
3.
Yang, Jinying, et al.. (2025). High-Precision Real-Time Flow Prediction in a Multi-tributary River System: A Bio-inspired Dynamic Neural Network Model. Earth Systems and Environment. 9(3). 2061–2077.
4.
Li, Zhi, Yaning Chen, Lei Gao, et al.. (2024). Future soil moisture will slowdown the advancement of ecosystem productivity in the Northern Hemisphere. Science Bulletin. 70(3). 347–350. 3 indexed citations
5.
Wei, Bing, et al.. (2024). Bio-inspired deep neural local acuity and focus learning for visual image recognition. Neural Networks. 181. 106712–106712. 2 indexed citations
6.
Ye, Quanliang, et al.. (2024). FeliX 2.0: An integrated model of climate, economy, environment, and society interactions. Environmental Modelling & Software. 179. 106121–106121. 5 indexed citations
7.
Shao, Xiaoyan, et al.. (2024). Remaining useful life prediction method for Degradation–Shock dependence: Case of a subsea hydraulic control system. Ocean Engineering. 299. 117339–117339. 6 indexed citations
9.
Li, Jianwei, et al.. (2023). Quantitative diagnosis of PEMFC membrane humidity with a vector-distance based characteristic mapping approach. Applied Energy. 335. 120610–120610. 26 indexed citations
10.
Yun, Xu, et al.. (2023). An Improved SVM Method for Movement Recognition of Lower Limbs by MIMU and sEMG. International Journal of Advanced Computer Science and Applications. 14(1). 1 indexed citations
11.
Gao, Lei & Chaoqian Li. (2023). On Cvetković-Kostić-Varga type matrices. ETNA - Electronic Transactions on Numerical Analysis. 58. 244–270. 2 indexed citations
12.
Cai, Baoping, et al.. (2023). Dynamic risk assessment methodology of operation process for deepwater oil and gas equipment. Reliability Engineering & System Safety. 239. 109538–109538. 21 indexed citations
13.
Gibbs, Matthew S., Lei Gao, Klaus Joehnk, et al.. (2023). Using hydraulics to evaluate ecological benefits, risks, and trade‐offs from engineered flooding. Hydrological Processes. 37(11). 8 indexed citations
14.
Yang, Jinying, et al.. (2021). Bio-inspired heuristic dynamic programming for high-precision real-time flow control in a multi-tributary river system. Knowledge-Based Systems. 230. 107381–107381. 4 indexed citations
15.
Moallemi, Enayat A., Edoardo Bertone, Sibel Eker, et al.. (2021). A review of systems modelling for local sustainability. 1 indexed citations
16.
Jiang, Zhenjiao, Dirk Mallants, Lei Gao, et al.. (2021). Sub3DNet1.0: a deep-learning model for regional-scale 3D subsurface structure mapping. Geoscientific model development. 14(6). 3421–3435. 11 indexed citations
18.
Jiang, Zhenjiao, Dirk Mallants, Lei Gao, Grégoire Mariethoz, & Luk Peeters. (2020). Surf3DNet1.0: A deep learning model for regional-scale 3D subsurface structure mapping. 1 indexed citations
19.
Gao, Lei, et al.. (2011). Identifying preferred management option of recreational fishing by combining an integrated agent-based simulation model and the AHP-TOPSIS evaluation method. Chan, F., Marinova, D. and Anderssen, R.S. (eds) MODSIM2011, 19th International Congress on Modelling and Simulation.. 1 indexed citations
20.
Gao, Lei. (2011). An Adaptive Particle Swarm Optimization Algorithm with Dynamic Nonlinear Inertia Weight Variation. Science Technology and Engineering. 1 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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