Kaige Lei

656 total citations · 1 hit paper
13 papers, 478 citations indexed

About

Kaige Lei is a scholar working on Pollution, Ecology and Artificial Intelligence. According to data from OpenAlex, Kaige Lei has authored 13 papers receiving a total of 478 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Pollution, 4 papers in Ecology and 4 papers in Artificial Intelligence. Recurrent topics in Kaige Lei's work include Heavy metals in environment (5 papers), Geochemistry and Geologic Mapping (4 papers) and Environmental Impact and Sustainability (2 papers). Kaige Lei is often cited by papers focused on Heavy metals in environment (5 papers), Geochemistry and Geologic Mapping (4 papers) and Environmental Impact and Sustainability (2 papers). Kaige Lei collaborates with scholars based in China. Kaige Lei's co-authors include Mingtao Xiang, Feng Li, Jiayu Yang, Xiaoqian Fang, Yu Cao, Yan Li, Wu Xiao, Tingting He, Xinyu Deng and Zhou Shi and has published in prestigious journals such as The Science of The Total Environment, Journal of Cleaner Production and Environmental Pollution.

In The Last Decade

Kaige Lei

12 papers receiving 473 citations

Hit Papers

Heavy metal contamination risk assessment and correlation... 2021 2026 2022 2024 2021 100 200 300

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Kaige Lei China 8 280 97 80 60 55 13 478
Mingtao Xiang China 8 280 1.0× 124 1.3× 79 1.0× 69 1.1× 58 1.1× 14 594
Hao Ni China 5 307 1.1× 134 1.4× 112 1.4× 52 0.9× 71 1.3× 7 492
Xiaoxiao Min China 8 263 0.9× 99 1.0× 91 1.1× 56 0.9× 60 1.1× 16 538
Leo C. Osuji Nigeria 17 385 1.4× 177 1.8× 89 1.1× 62 1.0× 45 0.8× 54 769
Hicham El Khalil Morocco 8 228 0.8× 69 0.7× 53 0.7× 29 0.5× 65 1.2× 12 357

Countries citing papers authored by Kaige Lei

Since Specialization
Citations

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

Fields of papers citing papers by Kaige Lei

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Kaige Lei

This figure shows the co-authorship network connecting the top 25 collaborators of Kaige Lei. A scholar is included among the top collaborators of Kaige Lei 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 Kaige Lei. Kaige Lei is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

13 of 13 papers shown
1.
Wu, Xiang-yuan, et al.. (2025). Spatiotemporal patterns and driving mechanism of carbon inequality in Chinese cities. Cities. 167. 106384–106384. 1 indexed citations
3.
Lei, Kaige, et al.. (2024). Spatiotemporal non-stationarity analysis of urban environment using multi-source remote sensing in Chinese metropolitan areas. Journal of Cleaner Production. 471. 143331–143331. 2 indexed citations
5.
He, Tingting, et al.. (2024). Time series procession for monitoring land disturbance caused by surface coal mining in China. Journal of Cleaner Production. 448. 141585–141585. 9 indexed citations
6.
Lei, Kaige, Yan Li, Shi‐Yi Wang, et al.. (2023). Development of a new method framework to estimate the nonlinear and interaction relationship between environmental factors and soil heavy metals. The Science of The Total Environment. 905. 167133–167133. 25 indexed citations
7.
Ma, Jiayi, et al.. (2023). Spatiotemporal simulation, early warning, and driving factors of soil heavy metal pollution in a typical industrial city in southeast China. Stochastic Environmental Research and Risk Assessment. 38(1). 315–337. 10 indexed citations
8.
Lei, Kaige, Shi‐Yi Wang, Feng Li, et al.. (2023). Machine learning combined with Geodetector quantifies the synergistic effect of environmental factors on soil heavy metal pollution. Environmental Science and Pollution Research. 30(60). 126148–126164. 3 indexed citations
9.
Xiao, Wu, et al.. (2023). Assessing the ecological impacts of opencast coal mining in Qinghai-Tibet Plateau-a case study in Muli coal field, China. Ecological Indicators. 153. 110454–110454. 28 indexed citations
10.
Xiang, Mingtao, Jiayi Ma, Kaige Lei, et al.. (2022). Collaborative evaluation of heavy metal pollution of soil-crop system in the southeast of Yangtze River Delta, China. Ecological Indicators. 143. 109412–109412. 25 indexed citations
11.
Lei, Kaige, Yifan Wu, Feng Li, et al.. (2021). Relating Land Use/Cover and Landscape Pattern to the Water Quality under the Simulation of SWAT in a Reservoir Basin, Southeast China. Sustainability. 13(19). 11067–11067. 7 indexed citations
12.
Xiang, Mingtao, Yan Li, Jiayu Yang, et al.. (2021). Heavy metal contamination risk assessment and correlation analysis of heavy metal contents in soil and crops. Environmental Pollution. 278. 116911–116911. 328 indexed citations breakdown →
13.
Li, Feng, Mingtao Xiang, Siyuan Liu, et al.. (2021). Life cycle assessment and fertilization scheme optimization of paddy field crops in South China. Journal of Cleaner Production. 325. 129339–129339. 13 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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