Lianqing Zhou

2.0k total citations · 1 hit paper
60 papers, 1.6k citations indexed

About

Lianqing Zhou is a scholar working on Geophysics, Artificial Intelligence and Environmental Engineering. According to data from OpenAlex, Lianqing Zhou has authored 60 papers receiving a total of 1.6k indexed citations (citations by other indexed papers that have themselves been cited), including 29 papers in Geophysics, 19 papers in Artificial Intelligence and 10 papers in Environmental Engineering. Recurrent topics in Lianqing Zhou's work include earthquake and tectonic studies (25 papers), High-pressure geophysics and materials (16 papers) and Seismic Imaging and Inversion Techniques (13 papers). Lianqing Zhou is often cited by papers focused on earthquake and tectonic studies (25 papers), High-pressure geophysics and materials (16 papers) and Seismic Imaging and Inversion Techniques (13 papers). Lianqing Zhou collaborates with scholars based in China, France and Australia. Lianqing Zhou's co-authors include Zhou Shi, Bifeng Hu, Xiaolin Jia, Songchao Chen, Youwei Zhu, Cuiping Zhao, Yin Zhou, Mingxiang Huang, Shuai Shao and Tingting Fu and has published in prestigious journals such as SHILAP Revista de lepidopterología, Environmental Science & Technology and Journal of Hazardous Materials.

In The Last Decade

Lianqing Zhou

52 papers receiving 1.5k citations

Hit Papers

Current status, spatial features, health risks, and poten... 2020 2026 2022 2024 2020 100 200 300
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. Current status, spatial features, health risks, and potential driving factors of soil heavy metal pollution in China at province level
    2020 366 citations Bifeng Hu, Shuai Shao et al. Environmental Pollution profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Lianqing Zhou China 18 569 493 371 292 202 60 1.6k
Győző Jordán Hungary 21 220 0.4× 255 0.5× 293 0.8× 182 0.6× 117 0.6× 58 1.4k
Min Zeng China 24 866 1.5× 324 0.7× 111 0.3× 335 1.1× 260 1.3× 92 1.9k
Timo Tarvainen Finland 25 1.1k 1.9× 800 1.6× 318 0.9× 109 0.4× 307 1.5× 62 2.2k
Habes Ghrefat Saudi Arabia 20 874 1.5× 618 1.3× 304 0.8× 129 0.4× 283 1.4× 69 1.7k
Hangxin Cheng China 26 1.1k 2.0× 562 1.1× 127 0.3× 102 0.3× 1.0k 5.1× 70 2.1k
I.M.H.R. Antunes Portugal 19 264 0.5× 280 0.6× 217 0.6× 248 0.8× 82 0.4× 99 1.2k
Juan Carlos Fernández Caliani Spain 24 990 1.7× 378 0.8× 75 0.2× 288 1.0× 295 1.5× 80 1.9k
Massimo Angelone Italy 19 1.2k 2.1× 582 1.2× 114 0.3× 99 0.3× 482 2.4× 37 1.8k

Countries citing papers authored by Lianqing Zhou

Since Specialization
Citations

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

Fields of papers citing papers by Lianqing Zhou

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Lianqing Zhou

This figure shows the co-authorship network connecting the top 25 collaborators of Lianqing Zhou. A scholar is included among the top collaborators of Lianqing Zhou 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 Lianqing Zhou. Lianqing Zhou 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.
Zhou, Lianqing, et al.. (2025). A novel algal bloom risk assessment framework by integrating environmental factors based on explainable machine learning. Ecological Informatics. 87. 103098–103098. 3 indexed citations
2.
Liu, Yu, et al.. (2025). Research on Microstructure and Properties of Ni45 Composite Coatings with Varying WC Content for Copper Alloy Propeller. Transactions of the Indian Institute of Metals. 78(9).
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Zhou, Lianqing, et al.. (2025). The 3D Q P model of the China Seismic Experimental Site (CSES- Q 1.0) and its tectonic implications. Solid Earth. 16(4/5). 391–408.
6.
Zhao, Jinsong, Budiman Minasny, Raj Setia, et al.. (2025). Global distribution and predictors of the mineral-associated to total soil organic carbon ratio: an indicator of soil carbon stability. SHILAP Revista de lepidopterología. 2. 100035–100035. 1 indexed citations
7.
Zhang, Na, et al.. (2024). The temporal and spatial evolution characteristics of induced seismicity in the Changning shale gas field based on dense array. Scientific Reports. 14(1). 25287–25287. 3 indexed citations
8.
Zhou, Lianqing, et al.. (2024). Fluid‐Driven Seismicity in the Baihetan Reservoir Area Revealed by 3D Seismic Tomography Based on Dense Seismic Arrays. Earth and Space Science. 11(9). 2 indexed citations
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Zhou, Lianqing, Cuiping Zhao, Cuiping Zhao, et al.. (2021). Machine-learning-based earthquake locations reveal the seismogenesis of the 2020 Mw 5.0 Qiaojia, Yunnan earthquake. Geophysical Journal International. 228(3). 1637–1647. 18 indexed citations
12.
Yang, Yuanyuan, Yin Zhou, Zhou Shi, et al.. (2020). Interactive effects of elevation and land use on soil bacterial communities in the Tibetan Plateau. Pedosphere. 30(6). 817–831. 28 indexed citations
13.
Hu, Bifeng, Shuai Shao, Hao Ni, et al.. (2020). Current status, spatial features, health risks, and potential driving factors of soil heavy metal pollution in China at province level. Environmental Pollution. 266(Pt 3). 114961–114961. 366 indexed citations breakdown →
14.
Zhou, Lianqing, Cuiping Zhao, Jun Luo, & Zhangli Chen. (2018). A Detailed Insight into Fluid Infiltration in the Three Gorges Reservoir Area, China, from 3D VP, VP/VS, QP, and QS Tomography. Bulletin of the Seismological Society of America. 108(5B). 3029–3045. 13 indexed citations
15.
Peng, Jie, Wenjun Ji, Ziqiang Ma, et al.. (2016). Predicting total dissolved salts and soluble ion concentrations in agricultural soils using portable visible near-infrared and mid-infrared spectrometers. Biosystems Engineering. 152. 94–103. 50 indexed citations
16.
Luo, Jun, et al.. (2016). Characteristics of Focal Mechanisms and the Stress Field in the Southeastern Margin of the Tibetan Plateau. Pure and Applied Geophysics. 173(8). 2687–2710. 15 indexed citations
17.
Shan, Bin, Juan Carlos Afonso, Yingjie Yang, et al.. (2014). The thermochemical structure of the lithosphere and upper mantle beneath south China: Results from multiobservable probabilistic inversion. Journal of Geophysical Research Solid Earth. 119(11). 8417–8441. 52 indexed citations
18.
Ji, Wenjun, et al.. (2012). VIS-NIR reflectance spectroscopy of the organic matter in several types of soils. JOURNAL OF INFRARED AND MILLIMETER WAVES. 31(3). 277–282. 22 indexed citations
19.
Zhou, Lianqing, Cuiping Zhao, Xian Zheng, Zhangli Chen, & Si-Hua Zheng. (2011). Inferring water infiltration in the Longtan reservoir area by three-dimensional attenuation tomography. Geophysical Journal International. 186(3). 1045–1063. 11 indexed citations
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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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