Wenxi Lu

3.4k total citations
98 papers, 2.8k citations indexed

About

Wenxi Lu is a scholar working on Environmental Engineering, Civil and Structural Engineering and Ocean Engineering. According to data from OpenAlex, Wenxi Lu has authored 98 papers receiving a total of 2.8k indexed citations (citations by other indexed papers that have themselves been cited), including 73 papers in Environmental Engineering, 29 papers in Civil and Structural Engineering and 27 papers in Ocean Engineering. Recurrent topics in Wenxi Lu's work include Groundwater flow and contamination studies (56 papers), Water Systems and Optimization (24 papers) and Hydrological Forecasting Using AI (22 papers). Wenxi Lu is often cited by papers focused on Groundwater flow and contamination studies (56 papers), Water Systems and Optimization (24 papers) and Hydrological Forecasting Using AI (22 papers). Wenxi Lu collaborates with scholars based in China, United States and Taiwan. Wenxi Lu's co-authors include Zhongping Yang, Yuqiao Long, Xinhua Bao, Qingchun Yang, Juana P. Moiwo, Xue Jiang, Qingchun Yang, Deqiang Mao, Huarong Zhao and Zhenbo Chang and has published in prestigious journals such as The Science of The Total Environment, Water Resources Research and Geophysical Research Letters.

In The Last Decade

Wenxi Lu

97 papers receiving 2.7k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Wenxi Lu China 28 1.3k 612 611 464 426 98 2.8k
Enric Vázquez‐Suñé Spain 41 1.9k 1.5× 952 1.6× 769 1.3× 498 1.1× 374 0.9× 130 4.6k
Marc Voltz France 34 1.1k 0.9× 641 1.0× 768 1.3× 153 0.3× 191 0.4× 90 3.2k
Jianfeng Wu China 27 1.2k 1.0× 217 0.4× 736 1.2× 501 1.1× 100 0.2× 122 2.4k
Lingzao Zeng China 26 726 0.6× 265 0.4× 296 0.5× 387 0.8× 134 0.3× 77 1.9k
Anna Korre United Kingdom 33 1.4k 1.1× 334 0.5× 405 0.7× 967 2.1× 277 0.7× 144 3.5k
Bill X. Hu China 35 1.9k 1.5× 379 0.6× 1.0k 1.6× 382 0.8× 291 0.7× 231 4.4k
René Lefebvre Canada 31 1.7k 1.4× 125 0.2× 583 1.0× 622 1.3× 426 1.0× 132 3.5k
George P. Karatzas Greece 32 1.5k 1.2× 174 0.3× 1.3k 2.1× 661 1.4× 170 0.4× 126 3.5k
Vincent Tidwell United States 28 745 0.6× 253 0.4× 1.1k 1.7× 821 1.8× 130 0.3× 121 2.3k
Xu‐Sheng Wang China 36 1.5k 1.2× 190 0.3× 961 1.6× 200 0.4× 319 0.7× 193 3.6k

Countries citing papers authored by Wenxi Lu

Since Specialization
Citations

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

Fields of papers citing papers by Wenxi Lu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Wenxi Lu

This figure shows the co-authorship network connecting the top 25 collaborators of Wenxi Lu. A scholar is included among the top collaborators of Wenxi Lu 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 Wenxi Lu. Wenxi Lu 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.
Zha, Jinlin, Haoran Zhang, Wenxi Lu, et al.. (2025). Deep Learning With ERA5 Variables Accurately Simulates Near‐Surface Wind Speed Variations Across a Complex Terrain Region. Geophysical Research Letters. 52(12).
2.
Lu, Wenxi, et al.. (2024). Application of observed data denoising based on variational mode decomposition in groundwater pollution source recognition. The Science of The Total Environment. 946. 174374–174374. 6 indexed citations
3.
Hou, Zeyu, et al.. (2024). Bidirectional machine learning–assisted sensitivity-based stochastic searching approach for groundwater DNAPL source characterization. Environmental Science and Pollution Research. 31(23). 33591–33609. 1 indexed citations
4.
Lu, Wenxi, et al.. (2023). Joint inverse estimation of groundwater pollution source characteristics and model parameters based on an intelligent particle filter. Journal of Hydrology. 625. 129965–129965. 4 indexed citations
5.
Luo, Chengming, et al.. (2023). Simultaneous identification of groundwater pollution source and important hydrogeological parameters considering the noise uncertainty of observational data. Environmental Science and Pollution Research. 30(35). 84267–84282. 8 indexed citations
6.
Lu, Wenxi, et al.. (2023). Groundwater contamination source identification based on Sobol sequences–based sparrow search algorithm with a BiLSTM surrogate model. Environmental Science and Pollution Research. 30(18). 53191–53203. 7 indexed citations
7.
Li, Jiuhui, et al.. (2022). Comparative analysis of groundwater contaminant sources identification based on simulation optimization and ensemble Kalman filter. Environmental Science and Pollution Research. 29(60). 90081–90097. 5 indexed citations
8.
Lu, Wenxi, et al.. (2022). Recognition of a linear source contamination based on a mixed-integer stacked chaos gate recurrent unit neural network–hybrid sparrow search algorithm. Environmental Science and Pollution Research. 29(22). 33528–33543. 11 indexed citations
9.
Wu, Qinghua, et al.. (2022). Stochastic simulation of seawater intrusion in the Longkou area of China based on the Monte Carlo method. Environmental Science and Pollution Research. 30(8). 22063–22077. 4 indexed citations
10.
Li, Jiuhui, et al.. (2021). Groundwater Pollution Sources Identification Based on Hybrid Homotopy-Genetic Algorithm and Simulation Optimization. Environmental Engineering Science. 38(8). 777–788. 14 indexed citations
11.
Zheng, Han, Wenxi Lu, & Jin Lin. (2020). Uncertainty analysis for precipitation and sea-level rise of a variable-density groundwater simulation model based on surrogate models. Environmental Science and Pollution Research. 27(22). 28077–28090. 6 indexed citations
12.
Li, Fengping, et al.. (2019). A comprehensive analysis of spatial and temporal variability of extreme precipitation in the Nenjiang River Basin, Northeast China. Theoretical and Applied Climatology. 138(1-2). 605–616. 7 indexed citations
13.
Lu, Wenxi, et al.. (2017). Hydrogeochemical processes identification and groundwater pollution causes analysis in the northern Ordos Cretaceous Basin, China. Environmental Geochemistry and Health. 40(4). 1209–1219. 23 indexed citations
14.
Ouyang, Qi & Wenxi Lu. (2017). Monthly Rainfall Forecasting Using Echo State Networks Coupled with Data Preprocessing Methods. Water Resources Management. 32(2). 659–674. 41 indexed citations
15.
Zhao, Ying, et al.. (2016). A Kriging surrogate model coupled in simulation–optimization approach for identifying release history of groundwater sources. Journal of Contaminant Hydrology. 185-186. 51–60. 97 indexed citations
16.
Jiang, Xue, Wenxi Lu, Huarong Zhao, Qingchun Yang, & Zhongping Yang. (2014). Potential ecological risk assessment and prediction of soil heavy-metal pollution around coal gangue dump. Natural hazards and earth system sciences. 14(6). 1599–1610. 222 indexed citations
17.
Zha, Yuanyuan, et al.. (2014). Usefulness of flux measurements during hydraulic tomographic survey for mapping hydraulic conductivity distribution in a fractured medium. Advances in Water Resources. 71. 162–176. 56 indexed citations
18.
Lu, Wenxi, et al.. (2013). Application of Artificial Neural Network in Environmental Water Quality Assessment. Journal of Agricultural Science and Technology. 15(2). 343–356. 29 indexed citations
19.
Zhang, Lei, et al.. (2011). Response of non-point source pollutant loads to climate change in the Shitoukoumen reservoir catchment. Environmental Monitoring and Assessment. 184(1). 581–594. 27 indexed citations
20.
Li, Jun, et al.. (2009). Analysis of spatial–temporal distributions of nitrate-N concentration in Shitoukoumen catchment in northeast China. Environmental Monitoring and Assessment. 169(1-4). 335–345. 16 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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