Qingyan Meng

4.4k total citations · 1 hit paper
143 papers, 3.2k citations indexed

About

Qingyan Meng is a scholar working on Environmental Engineering, Global and Planetary Change and Atmospheric Science. According to data from OpenAlex, Qingyan Meng has authored 143 papers receiving a total of 3.2k indexed citations (citations by other indexed papers that have themselves been cited), including 60 papers in Environmental Engineering, 50 papers in Global and Planetary Change and 35 papers in Atmospheric Science. Recurrent topics in Qingyan Meng's work include Urban Heat Island Mitigation (44 papers), Land Use and Ecosystem Services (36 papers) and Urban Green Space and Health (30 papers). Qingyan Meng is often cited by papers focused on Urban Heat Island Mitigation (44 papers), Land Use and Ecosystem Services (36 papers) and Urban Green Space and Health (30 papers). Qingyan Meng collaborates with scholars based in China, Hungary and Egypt. Qingyan Meng's co-authors include Linlin Zhang, Xiaojiang Li, Chuanrong Zhang, Weidong Li, Robert Ricard, Weixing Zhang, Die Hu, Tamás Jancsó, Zhenhui Sun and Yunxiao Sun and has published in prestigious journals such as The Science of The Total Environment, Remote Sensing of Environment and Journal of Cleaner Production.

In The Last Decade

Qingyan Meng

130 papers receiving 3.2k citations

Hit Papers

Assessing street-level urban greenery using Google Street... 2015 2026 2018 2022 2015 200 400 600

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Qingyan Meng China 28 1.6k 1.5k 1.1k 656 498 143 3.2k
Frank Canters Belgium 31 1.6k 1.0× 974 0.6× 575 0.5× 446 0.7× 644 1.3× 144 3.1k
Susanne Grossman‐Clarke United States 22 1.7k 1.0× 2.1k 1.4× 768 0.7× 1.3k 2.0× 659 1.3× 31 3.7k
Seyed Kazem Alavipanah Iran 31 1.5k 0.9× 2.0k 1.3× 711 0.6× 877 1.3× 716 1.4× 160 3.2k
Iryna Dronova United States 32 1.7k 1.0× 1.1k 0.7× 634 0.6× 320 0.5× 1.3k 2.7× 83 3.1k
Xiaobing Li China 34 1.4k 0.9× 981 0.6× 893 0.8× 890 1.4× 756 1.5× 176 3.2k
Leiqiu Hu United States 29 1.0k 0.6× 1.5k 1.0× 919 0.8× 648 1.0× 231 0.5× 57 2.3k
Hongbo Su China 30 1.6k 1.0× 1.3k 0.8× 277 0.2× 713 1.1× 625 1.3× 178 3.2k
Stefania Bonafoni Italy 27 1.5k 0.9× 2.3k 1.5× 1.2k 1.0× 1.2k 1.8× 247 0.5× 99 3.2k
Bingbo Gao China 28 832 0.5× 1.5k 1.0× 1.4k 1.2× 1.3k 1.9× 457 0.9× 99 2.9k
Tim Van de Voorde Belgium 25 1.2k 0.8× 698 0.5× 368 0.3× 400 0.6× 360 0.7× 112 2.1k

Countries citing papers authored by Qingyan Meng

Since Specialization
Citations

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

Fields of papers citing papers by Qingyan Meng

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Qingyan Meng

This figure shows the co-authorship network connecting the top 25 collaborators of Qingyan Meng. A scholar is included among the top collaborators of Qingyan Meng 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 Qingyan Meng. Qingyan Meng 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.
Meng, Qingyan, et al.. (2025). Instance-Level Multitask Learning for 3-D Building Extraction From Monocular Off-Nadir Satellite Sensor Imagery. IEEE Transactions on Geoscience and Remote Sensing. 63. 1–24.
2.
Chen, Xingfeng, Yunli Zhang, Xue Wu, et al.. (2025). Quantitative Remote Sensing Supporting Deep Learning Target Identification: A Case Study of Wind Turbines. Remote Sensing. 17(5). 733–733.
3.
Wu, Jiahao, Liang Gao, Qingyan Meng, & Hong Wang. (2024). Effect of land cover pattern on rainfall during a landfalling typhoon: A simulation of Typhoon Hato. Atmospheric Research. 303. 107329–107329. 2 indexed citations
4.
Zhang, Linlin, et al.. (2024). How to optimize urban blue space to maximize its cooling benefits? A case study in megacity of Beijing. Building and Environment. 270. 112502–112502. 9 indexed citations
5.
Zhang, Song, Linlin Zhang, Qingyan Meng, et al.. (2024). Evaluating agricultural non-point source pollution with high-resolution remote sensing technology and SWAT model: A case study in Ningxia Yellow River Irrigation District, China. Ecological Indicators. 166. 112578–112578. 18 indexed citations
6.
Meng, Qingyan, Yejuan Wang, Peter E. Kloeden, & Xiaoying Han. (2024). Fokker–Planck equation and Feynman–Kac formula for multidimensional stochastic dynamical systems with Lévy noises and time-dependent coefficients. Mathematics and Computers in Simulation. 229. 574–593.
7.
Meng, Qingyan, et al.. (2024). The ultimate boundedness of solutions for stochastic differential equations driven by time-changed Lévy noises. Applied Mathematics Letters. 157. 109186–109186.
8.
Hu, Xinli, et al.. (2024). Beyond Pixel-Level Annotation: Exploring Self-Supervised Learning for Change Detection With Image-Level Supervision. IEEE Transactions on Geoscience and Remote Sensing. 62. 1–16. 21 indexed citations
9.
Hu, Die, Fengxiang Guo, Qingyan Meng, et al.. (2024). A novel dual-layer composite framework for downscaling urban land surface temperature coupled with spatial autocorrelation and spatial heterogeneity. International Journal of Applied Earth Observation and Geoinformation. 130. 103900–103900. 10 indexed citations
10.
Meng, Qingyan, et al.. (2024). A deep learning framework for 3D vegetation extraction in complex urban environments. International Journal of Applied Earth Observation and Geoinformation. 129. 103798–103798. 3 indexed citations
11.
Meng, Qingyan, Yejuan Wang, Peter E. Kloeden, & Xiaoying Han. (2024). Existence and uniqueness of solutions for forward and backward nonlocal Fokker-Planck equations with time-dependent coefficients. Journal of Differential Equations. 403. 1–28.
12.
Gao, Jianfeng, et al.. (2023). A uniform methodology of local cooling and warming effects for different urban site types: multi-perspective assessment based on four northern Chinese cities. Sustainable Cities and Society. 96. 104652–104652. 9 indexed citations
13.
Meng, Qingyan, et al.. (2023). Coarse-graining research of the thermal infrared anomalies before earthquakes in the Sichuan area on Google Earth engine. Frontiers in Earth Science. 11. 3 indexed citations
14.
Meng, Qingyan. (2023). Remote Sensing of Urban Green Space. 2 indexed citations
16.
Meng, Qingyan, et al.. (2023). Local and Long-Range Collaborative Learning for Remote Sensing Scene Classification. IEEE Transactions on Geoscience and Remote Sensing. 61. 1–15. 27 indexed citations
17.
Gao, Liang, et al.. (2023). Nonlinear causal relationships between urbanization and extreme climate events in China. Journal of Cleaner Production. 434. 139889–139889. 20 indexed citations
18.
Meng, Qingyan, et al.. (2020). Red Soundscape Index (RSI): An index with the potential to assess soundscape quality. UCL Discovery (University College London). 3 indexed citations
19.
Wei, Xiangqin, Xingfa Gu, Qingyan Meng, et al.. (2017). Leaf Area Index Estimation Using Chinese GF-1 Wide Field View Data in an Agriculture Region. Sensors. 17(7). 1593–1593. 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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