Anlei Wei

669 total citations · 1 hit paper
21 papers, 499 citations indexed

About

Anlei Wei is a scholar working on Water Science and Technology, Environmental Engineering and Industrial and Manufacturing Engineering. According to data from OpenAlex, Anlei Wei has authored 21 papers receiving a total of 499 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Water Science and Technology, 5 papers in Environmental Engineering and 4 papers in Industrial and Manufacturing Engineering. Recurrent topics in Anlei Wei's work include Groundwater and Isotope Geochemistry (4 papers), Air Quality Monitoring and Forecasting (3 papers) and Water Quality Monitoring Technologies (3 papers). Anlei Wei is often cited by papers focused on Groundwater and Isotope Geochemistry (4 papers), Air Quality Monitoring and Forecasting (3 papers) and Water Quality Monitoring Technologies (3 papers). Anlei Wei collaborates with scholars based in China, Canada and United States. Anlei Wei's co-authors include Jinxi Song, Jingjing Chen, Xiangyang Yu, Jing Ma, Yan Zhang, Yan Zhang, Peng Shi, Fadong Li, Hanxiao Shi and Xiaozhen Xu and has published in prestigious journals such as Bioresource Technology, Chemical Engineering Journal and Chemosphere.

In The Last Decade

Anlei Wei

19 papers receiving 490 citations

Hit Papers

A CNN-LSTM based deep learning model with high accuracy a... 2024 2026 2025 2024 25 50 75
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. A CNN-LSTM based deep learning model with high accuracy and robustness for carbon price forecasting: A case of Shenzhen's carbon market in China
    2024 80 citations Hanxiao Shi, Anlei Wei et al. Journal of Environmental Management profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Anlei Wei China 10 189 129 105 86 69 21 499
Zhihua Tang China 14 122 0.6× 93 0.7× 35 0.3× 58 0.7× 52 0.8× 33 638
Wenxia Wei China 17 229 1.2× 220 1.7× 61 0.6× 102 1.2× 105 1.5× 42 917
Linfeng Xu China 6 176 0.9× 84 0.7× 34 0.3× 79 0.9× 24 0.3× 9 629
S. A. Ganiyu Nigeria 14 172 0.9× 98 0.8× 138 1.3× 161 1.9× 10 0.1× 60 619
Yinghao Li China 11 298 1.6× 89 0.7× 104 1.0× 120 1.4× 61 0.9× 40 669
Jiann‐Long Chen United States 11 129 0.7× 233 1.8× 30 0.3× 82 1.0× 41 0.6× 17 568
Xinghua Luo China 17 116 0.6× 83 0.6× 114 1.1× 68 0.8× 203 2.9× 30 974
Xingwei Wang China 11 59 0.3× 44 0.3× 26 0.2× 102 1.2× 60 0.9× 17 527
Xinyi Zou China 8 326 1.7× 35 0.3× 17 0.2× 268 3.1× 25 0.4× 25 629
Sajal Kumar Adhikary India 19 559 3.0× 471 3.7× 86 0.8× 193 2.2× 11 0.2× 53 1.1k

Countries citing papers authored by Anlei Wei

Since Specialization
Citations

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

Fields of papers citing papers by Anlei Wei

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Anlei Wei

This figure shows the co-authorship network connecting the top 25 collaborators of Anlei Wei. A scholar is included among the top collaborators of Anlei Wei 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 Anlei Wei. Anlei Wei 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.
Wei, Anlei, Zixuan Wang, Yangyang Guo, et al.. (2025). Temporal feature reconstruction of ammonia nitrogen time series for machine learning prediction in wastewater treatment plants: Enhanced predictability and physically-informed interpretability. Process Safety and Environmental Protection. 202. 107700–107700. 1 indexed citations
2.
Zhang, Xinying, Fei Wang, Nan Li, et al.. (2025). Fabrication of sodium alginate-biochar-graphene oxide composite for sulfadiazine adsorption from aquatic environment: Performance and mechanisms. Journal of Contaminant Hydrology. 274. 104647–104647.
3.
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Tang, K.S., Anlei Wei, Zixuan Wang, et al.. (2025). Machine learning framework for energy consumption prediction in wastewater treatment plants combining resampling and cohort Shapley value analysis. Bioresource Technology. 434. 132793–132793. 1 indexed citations
5.
6.
Wei, Anlei, et al.. (2024). Sustainable nitrogen-doped carbons from coking wastewater and spent coffee grounds for electrocatalytic nitrate to ammonia conversion. Journal of environmental chemical engineering. 12(4). 113132–113132. 4 indexed citations
7.
Shi, Hanxiao, et al.. (2024). Accurate and robust ammonia level forecasting of aeration tanks using long short-term memory ensembles: A comparative study of Adaboost and Bagging approaches. Journal of Environmental Management. 371. 123173–123173. 6 indexed citations
8.
Shi, Hanxiao, et al.. (2024). A CNN-LSTM based deep learning model with high accuracy and robustness for carbon price forecasting: A case of Shenzhen's carbon market in China. Journal of Environmental Management. 352. 120131–120131. 80 indexed citations breakdown →
9.
10.
Xu, Xiaozhen, et al.. (2023). Prediction of nitrous oxide emission of a municipal wastewater treatment plant using LSTM-based deep learning models. Environmental Science and Pollution Research. 31(2). 2167–2186. 15 indexed citations
11.
Wang, Li, et al.. (2022). Efficient Nitrate Adsorption from Groundwater by Biochar-Supported Al-Substituted Goethite. Sustainability. 14(13). 7824–7824. 15 indexed citations
12.
13.
Song, Jinxi, et al.. (2020). Analysis for spatial-temporal matching pattern between water and land resources in Central Asia. Hydrology research. 51(5). 994–1008. 18 indexed citations
14.
15.
Zheng, Xiao-Qing, et al.. (2018). [Characteristic of Nitrate Adsorption in Aqueous Solution by Iron and Manganese Oxide/Biochar Composites].. PubMed. 39(3). 1220–1232. 3 indexed citations
16.
Wei, Anlei, Jing Ma, Jingjing Chen, et al.. (2018). Enhanced nitrate removal and high selectivity towards dinitrogen for groundwater remediation using biochar-supported nano zero-valent iron. Chemical Engineering Journal. 353. 595–605. 161 indexed citations
17.
Li, Qi, Jinxi Song, Anlei Wei, & Bo Zhang. (2013). Changes in major factors affecting the ecosystem health of the Weihe River in Shaanxi Province, China. Frontiers of Environmental Science & Engineering. 7(6). 875–885. 31 indexed citations
18.
Liang, Jie, Guangming Zeng, Shenglian Guo, et al.. (2010). Optimal solute transport in heterogeneous aquifer: coupled inverse modelling. International Journal of Environment and Pollution. 42(1/2/3). 258–258. 3 indexed citations
19.
Wei, Anlei, et al.. (2009). Modeling of a permeate flux of cross-flow membrane filtration of colloidal suspensions: A wavelet network approach. International Journal of Environmental Science and Technology. 6(3). 395–406. 15 indexed citations
20.
Liang, Jie, et al.. (2008). Uncertainty Analysis of Stochastic Solute Transport in a Heterogeneous Aquifer. Environmental Engineering Science. 26(2). 359–368. 9 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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