Songyan Zhu

778 total citations
47 papers, 510 citations indexed

About

Songyan Zhu is a scholar working on Atmospheric Science, Global and Planetary Change and Environmental Engineering. According to data from OpenAlex, Songyan Zhu has authored 47 papers receiving a total of 510 indexed citations (citations by other indexed papers that have themselves been cited), including 22 papers in Atmospheric Science, 17 papers in Global and Planetary Change and 12 papers in Environmental Engineering. Recurrent topics in Songyan Zhu's work include Atmospheric chemistry and aerosols (16 papers), Air Quality Monitoring and Forecasting (12 papers) and Air Quality and Health Impacts (11 papers). Songyan Zhu is often cited by papers focused on Atmospheric chemistry and aerosols (16 papers), Air Quality Monitoring and Forecasting (12 papers) and Air Quality and Health Impacts (11 papers). Songyan Zhu collaborates with scholars based in China, United Kingdom and United States. Songyan Zhu's co-authors include Timothy C. Hill, Jian Xu, Qiaolin Zeng, Yapeng Wang, Jon McCalmont, Liangfu Chen, Robert Clement, Fengfeng Zhou, Christian A. Davies and Shuai Liu and has published in prestigious journals such as SHILAP Revista de lepidopterología, Applied Physics Letters and Journal of Applied Physics.

In The Last Decade

Songyan Zhu

44 papers receiving 486 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Songyan Zhu China 12 189 174 145 117 56 47 510
Stefan Wolff Germany 17 407 2.2× 290 1.7× 127 0.9× 157 1.3× 129 2.3× 53 935
X. Li China 11 146 0.8× 108 0.6× 121 0.8× 177 1.5× 47 0.8× 48 472
Fernando Iglesias‐Suarez United States 12 296 1.6× 250 1.4× 32 0.2× 58 0.5× 27 0.5× 20 647
Helmuth Horvath Austria 14 322 1.7× 375 2.2× 129 0.9× 129 1.1× 86 1.5× 28 730
Vasanthi Sivaprakasam United States 10 180 1.0× 105 0.6× 141 1.0× 264 2.3× 27 0.5× 31 572
Zhiyuan Zheng China 14 230 1.2× 299 1.7× 80 0.6× 20 0.2× 16 0.3× 56 496
Wenmin Zhang China 11 44 0.2× 229 1.3× 93 0.6× 64 0.5× 81 1.4× 48 587
Gabriel Popkin Sweden 9 31 0.2× 133 0.8× 47 0.3× 12 0.1× 35 0.6× 50 425
Yuli Zhang China 8 291 1.5× 141 0.8× 131 0.9× 203 1.7× 5 0.1× 31 429

Countries citing papers authored by Songyan Zhu

Since Specialization
Citations

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

Fields of papers citing papers by Songyan Zhu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Songyan Zhu

This figure shows the co-authorship network connecting the top 25 collaborators of Songyan Zhu. A scholar is included among the top collaborators of Songyan Zhu 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 Songyan Zhu. Songyan Zhu 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.
He, Panxing, Ning Ye, Qingbin Zhang, et al.. (2025). Unanticipated cooling gains from afforestation in Southwestern China. Environmental Research Letters. 20(12). 124013–124013.
2.
Wang, Xiao, Qi Si, Songyan Zhu, et al.. (2025). AdaReTaKe: Adaptive Redundancy Reduction to Perceive Longer for Video-language Understanding. 5417–5432. 1 indexed citations
3.
Xu, Jian, Zhuo Zhang, Yapeng Wang, et al.. (2024). Remote Sensing of Tropospheric Ozone from Space: Progress and Challenges. SHILAP Revista de lepidopterología. 4. 9 indexed citations
4.
Zhu, Songyan, Jian Xu, Panxing He, et al.. (2024). UFLUX-GPP: A Cost-Effective Framework for Quantifying Daily Terrestrial Ecosystem Carbon Uptake Using Satellite Data. IEEE Transactions on Geoscience and Remote Sensing. 62. 1–17. 2 indexed citations
5.
Zhu, Songyan, Jian Xu, Chao Yu, et al.. (2023). LESO: A ten-year ensemble of satellite-derived intercontinental hourly surface ozone concentrations. Scientific Data. 10(1). 741–741. 12 indexed citations
6.
Zhu, Songyan, Tristan Quaife, L. M. Cardenas, et al.. (2023). Eddy covariance fluxes over managed ecosystems extrapolated to field scales at fine spatial resolutions. Agricultural and Forest Meteorology. 342. 109675–109675. 4 indexed citations
7.
Zeng, Qiaolin, et al.. (2023). Long-term PM2.5 concentrations forecasting using CEEMDAN and deep Transformer neural network. Atmospheric Pollution Research. 14(9). 101839–101839. 20 indexed citations
8.
Zeng, Qiaolin, Jinhua Tao, Meng Fan, et al.. (2023). Estimation of ground-level O3 concentration in the Yangtze River Delta region based on a high-performance spatiotemporal model MixNet. The Science of The Total Environment. 896. 165061–165061. 4 indexed citations
9.
Zhu, Songyan, et al.. (2023). Explainable Machine Learning Confirms the Global Terrestrial CO2 Fertilization Effect From Space. IEEE Geoscience and Remote Sensing Letters. 20. 1–5. 4 indexed citations
10.
Zhu, Songyan, Jian Xu, Meng Fan, et al.. (2023). Estimating Near-Surface Concentrations of Major Air Pollutants From Space: A Universal Estimation Framework LAPSO. IEEE Transactions on Geoscience and Remote Sensing. 61. 1–11. 16 indexed citations
11.
Cunliffe, Andrew M., Robert Clement, Stephen Sitch, et al.. (2022). Strong Correspondence in Evapotranspiration and Carbon Dioxide Fluxes Between Different Eddy Covariance Systems Enables Quantification of Landscape Heterogeneity in Dryland Fluxes. Journal of Geophysical Research Biogeosciences. 127(8). 16 indexed citations
12.
Zhu, Songyan, Jian Xu, Chao Yu, et al.. (2022). Learning Surface Ozone From Satellite Columns (LESO): A Regional Daily Estimation Framework for Surface Ozone Monitoring in China. IEEE Transactions on Geoscience and Remote Sensing. 60. 1–11. 13 indexed citations
13.
Zhu, Songyan, Jian Xu, Hao Zhu, et al.. (2022). Investigating Impacts of Ambient Air Pollution on the Terrestrial Gross Primary Productivity (GPP) From Remote Sensing. IEEE Geoscience and Remote Sensing Letters. 19. 1–5. 9 indexed citations
14.
Zhu, Songyan, et al.. (2021). Satellite Remote Sensing of Daily Surface Ozone in a Mountainous Area. IEEE Geoscience and Remote Sensing Letters. 19. 1–5. 9 indexed citations
15.
Zhu, Songyan, et al.. (2020). An Optimization Approach for Hourly Ozone Simulation: A Case Study in Chongqing, China. IEEE Geoscience and Remote Sensing Letters. 18(11). 1871–1875. 8 indexed citations
16.
17.
18.
Wang, Hongmei, Jian Xu, Xingying Zhang, et al.. (2018). Assessment of Retrieved N2O, NO2, and HF Profiles from the Atmospheric Infrared Ultraspectral Sounder Based on Simulated Spectra. Sensors. 18(7). 2209–2209. 6 indexed citations
19.
Li, Xiaoying, et al.. (2016). Overview of infrared limb sounding. National Remote Sensing Bulletin. 20(4). 513–527. 3 indexed citations
20.
Zhu, Songyan, et al.. (2005). GoPipe: Streamlined Gene Ontology annotation for batch anonymous sequences with statistics. PROGRESS IN BIOCHEMISTRY AND BIOPHYSICS. 32(2). 73 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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