Xiaoying Lai

1.4k total citations · 1 hit paper
61 papers, 1.0k citations indexed

About

Xiaoying Lai is a scholar working on Water Science and Technology, Global and Planetary Change and Artificial Intelligence. According to data from OpenAlex, Xiaoying Lai has authored 61 papers receiving a total of 1.0k indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Water Science and Technology, 11 papers in Global and Planetary Change and 7 papers in Artificial Intelligence. Recurrent topics in Xiaoying Lai's work include Land Use and Ecosystem Services (5 papers), Hydrology and Watershed Management Studies (5 papers) and Environmental remediation with nanomaterials (4 papers). Xiaoying Lai is often cited by papers focused on Land Use and Ecosystem Services (5 papers), Hydrology and Watershed Management Studies (5 papers) and Environmental remediation with nanomaterials (4 papers). Xiaoying Lai collaborates with scholars based in China, United States and Malaysia. Xiaoying Lai's co-authors include Chaomeng Dai, Rongbing Fu, Yanping Duan, Lang Zhou, Yao-Jen Tu, Shuguang Liu, Kah Hon Leong, Lixin Hong, Jianwei Hao and Bin Liang and has published in prestigious journals such as Nature Communications, The Science of The Total Environment and Water Research.

In The Last Decade

Xiaoying Lai

55 papers receiving 1.0k citations

Hit Papers

CD36 facilitates fatty acid uptake by dynamic palmitoylat... 2020 2026 2022 2024 2020 50 100 150 200 250

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Xiaoying Lai China 13 197 189 186 139 104 61 1.0k
Jianyu Chen China 16 144 0.7× 95 0.5× 137 0.7× 116 0.8× 40 0.4× 82 861
Zhenming Zhang China 24 221 1.1× 142 0.8× 569 3.1× 119 0.9× 154 1.5× 144 1.8k
Călin Tatu Romania 23 246 1.2× 84 0.4× 217 1.2× 253 1.8× 302 2.9× 68 2.1k
Wenwen Yu China 23 310 1.6× 518 2.7× 480 2.6× 314 2.3× 130 1.3× 58 1.7k
Han Gao China 18 186 0.9× 109 0.6× 335 1.8× 315 2.3× 32 0.3× 50 1.0k
Haoming Chen China 21 291 1.5× 413 2.2× 351 1.9× 227 1.6× 49 0.5× 126 1.9k
Zhen China 15 217 1.1× 128 0.7× 68 0.4× 49 0.4× 118 1.1× 252 1.2k
Weiwei Xu China 18 133 0.7× 150 0.8× 250 1.3× 143 1.0× 60 0.6× 56 1.1k
Cuiying Liu China 20 337 1.7× 45 0.2× 122 0.7× 73 0.5× 39 0.4× 67 1.1k
Ji Chen China 18 157 0.8× 85 0.4× 276 1.5× 271 1.9× 115 1.1× 53 1.1k

Countries citing papers authored by Xiaoying Lai

Since Specialization
Citations

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

Fields of papers citing papers by Xiaoying Lai

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Xiaoying Lai

This figure shows the co-authorship network connecting the top 25 collaborators of Xiaoying Lai. A scholar is included among the top collaborators of Xiaoying Lai 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 Xiaoying Lai. Xiaoying Lai 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.
Dai, Qiang, et al.. (2025). Reshaping global rainfall erosivity rates: A study on precipitation phase correction from 2015 to 2022. Journal of Hydrology. 659. 133271–133271.
2.
Zhong, Jiuchang, Weiwei Deng, Dongbing Lai, et al.. (2025). Construction and verification of a predictive model for depression risk of patients with somatization symptoms. Frontiers in Psychiatry. 16. 1555513–1555513. 1 indexed citations
4.
Cheng, Hui, et al.. (2024). Promoting Sustainability: Collaborative Governance Pathways for Virtual Water Interactions and Environmental Emissions. Sustainability. 16(21). 9309–9309. 2 indexed citations
5.
6.
Cai, Ren, Pei Zhang, Xiaoya Deng, et al.. (2024). Unveiling the Dynamics and Influence of Water Footprints in Arid Areas: A Case Study of Xinjiang, China. Water. 16(8). 1164–1164. 4 indexed citations
7.
Dai, Chaomeng, Jixiang Li, Xueji You, et al.. (2024). In-situ targeted removal of naphthalene from groundwater by peroxymonosulfate activation using molecularly imprinted activated carbon: Efficacy, mechanism and applicability. Separation and Purification Technology. 348. 127730–127730. 15 indexed citations
8.
Li, Min, et al.. (2024). Prediction model for treatment response of primary membranous nephropathy with nephrotic syndrome. Clinical and Experimental Nephrology. 28(8). 740–750.
9.
Wang, D., Xiaoying Lai, Carlos Llopis‐Albert, Xiaowei Wen, & Yejun Xu. (2024). Integrating cumulative prospect theory into the graph model with application to the conflicts on discharging Fukushima nuclear wastewater. Applied Soft Computing. 170. 112665–112665. 3 indexed citations
10.
Gu, Xinchen, Aihua Long, Xinlin He, et al.. (2024). Response of runoff to climate change in the Manas River Basin flow-producing area, Northwest China. Applied Water Science. 14(3). 5 indexed citations
11.
Gu, Xinchen, Pei Zhang, Wenjia Zhang, et al.. (2023). A Study of Drought and Flood Cycles in Xinyang, China, Using the Wavelet Transform and M-K Test. Atmosphere. 14(8). 1196–1196. 12 indexed citations
12.
Dai, Chaomeng, Yanping Duan, Zhibo Zhang, et al.. (2023). Non-radical pathways in peracetic acid-based micropollutant degradation: A comprehensive review of mechanisms, detection methods, and promising applications. Separation and Purification Technology. 330. 125240–125240. 30 indexed citations
14.
Wang, Shijie, Xiaoying Lai, & Xinchen Gu. (2023). Analysis of Spatial and Temporal Evolution Characteristics and Influencing Factors of the Water Footprint in Xinjiang from 2000 to 2020. Systems. 11(7). 349–349. 2 indexed citations
15.
Yang, Haizhen, Ping Ouyang, Xiaoxi Li, et al.. (2022). Machine learning-aided risk prediction for metabolic syndrome based on 3 years study. Scientific Reports. 12(1). 2248–2248. 11 indexed citations
16.
Yinglan, A, Guoqiang Wang, Peng Hu, et al.. (2022). Root-zone soil moisture estimation based on remote sensing data and deep learning. Environmental Research. 212(Pt B). 113278–113278. 49 indexed citations
17.
Zhu, Xiaodong, et al.. (2020). Sleep in nasopharyngeal carcinoma patients before chemotherapy, after induction chemotherapy, and after concurrent chemoradiotherapy. Medical Hypotheses. 144. 109840–109840. 4 indexed citations
19.
Zhuang, Wen, Samantha C. Ying, Alexander L. Frie, et al.. (2019). Distribution, pollution status, and source apportionment of trace metals in lake sediments under the influence of the South-to-North Water Transfer Project, China. The Science of The Total Environment. 671. 108–118. 70 indexed citations
20.
Liao, Qibin, Xueyan Zheng, Zhifeng Zhou, et al.. (2014). Test Performance of Sputum microRNAs for Lung Cancer: A Meta-Analysis. Genetic Testing and Molecular Biomarkers. 18(8). 562–567. 3 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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