Zhongbo Su

24.9k total citations · 4 hit papers
428 papers, 13.7k citations indexed

About

Zhongbo Su is a scholar working on Atmospheric Science, Global and Planetary Change and Environmental Engineering. According to data from OpenAlex, Zhongbo Su has authored 428 papers receiving a total of 13.7k indexed citations (citations by other indexed papers that have themselves been cited), including 212 papers in Atmospheric Science, 202 papers in Global and Planetary Change and 192 papers in Environmental Engineering. Recurrent topics in Zhongbo Su's work include Plant Water Relations and Carbon Dynamics (134 papers), Soil Moisture and Remote Sensing (107 papers) and Climate change and permafrost (85 papers). Zhongbo Su is often cited by papers focused on Plant Water Relations and Carbon Dynamics (134 papers), Soil Moisture and Remote Sensing (107 papers) and Climate change and permafrost (85 papers). Zhongbo Su collaborates with scholars based in Netherlands, China and United States. Zhongbo Su's co-authors include Jun Wen, Yaoming Ma, Massimo Menenti, Yijian Zeng, R. van der Velde, G.J. Roerink, W. Verhoef, Mhd. Suhyb Salama, Christiaan van der Tol and Xuelong Chen and has published in prestigious journals such as Advanced Materials, SHILAP Revista de lepidopterología and Journal of Geophysical Research Atmospheres.

In The Last Decade

Zhongbo Su

399 papers receiving 13.3k citations

Hit Papers

The Surface Energy Balanc... 2000 2026 2008 2017 2002 2000 2009 2025 500 1000 1.5k

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Zhongbo Su 8.1k 5.9k 5.6k 3.1k 2.5k 428 13.7k
Matthew F. McCabe 7.4k 0.9× 4.8k 0.8× 3.9k 0.7× 3.0k 1.0× 3.3k 1.3× 225 13.0k
Pierre Gentine 11.7k 1.4× 3.2k 0.5× 5.9k 1.1× 2.7k 0.9× 2.4k 1.0× 270 15.2k
John S. Kimball 8.6k 1.1× 4.1k 0.7× 7.0k 1.3× 2.8k 0.9× 4.2k 1.7× 309 16.0k
Diego G. Miralles 14.7k 1.8× 4.3k 0.7× 7.8k 1.4× 6.3k 2.0× 2.1k 0.8× 165 19.5k
David R. Legates 6.2k 0.8× 2.8k 0.5× 4.0k 0.7× 3.2k 1.0× 1.5k 0.6× 77 11.1k
Massimo Menenti 6.8k 0.8× 4.4k 0.8× 2.7k 0.5× 2.1k 0.7× 3.4k 1.3× 318 10.7k
Wouter Dorigo 6.8k 0.8× 8.7k 1.5× 8.4k 1.5× 2.8k 0.9× 2.1k 0.8× 202 15.1k
Kun Yang 12.4k 1.5× 4.7k 0.8× 13.8k 2.5× 4.4k 1.4× 1.8k 0.7× 494 21.7k
Yongjiu Dai 6.1k 0.8× 2.7k 0.5× 4.3k 0.8× 1.9k 0.6× 1.7k 0.7× 177 9.9k
Richard de Jeu 8.6k 1.1× 9.2k 1.6× 9.4k 1.7× 3.9k 1.3× 2.1k 0.8× 162 17.3k

Countries citing papers authored by Zhongbo Su

Since Specialization
Citations

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

Fields of papers citing papers by Zhongbo Su

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Zhongbo Su

This figure shows the co-authorship network connecting the top 25 collaborators of Zhongbo Su. A scholar is included among the top collaborators of Zhongbo Su 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 Zhongbo Su. Zhongbo Su 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.
Raza, Faisal, Yunchao Jia, Zhiwei Zhao, et al.. (2025). An Evaporative Surface Modulation for Efficient Inverted Perovskite Photovoltaics. Advanced Functional Materials. 36(1).
2.
Su, Zhongbo, Hao Hu, S. P. Kubrin, et al.. (2025). The structure, electrical properties and phase diagram of Sm-modified BiFeO3-PbTiO3 solid solution ceramics. Ceramics International. 51(14). 18477–18484. 2 indexed citations
4.
Zheng, Donghai, et al.. (2025). Impact of model physics, meteorological forcing, and soil property data on simulating soil moisture and temperature profiles on the Tibetan Plateau. Journal of Hydrology. 654. 132809–132809. 2 indexed citations
5.
Liu, Sucheng, Yizhuo Gu, Yixi Wang, et al.. (2025). Properties of moisture-cured polyurethane resins synthesized from diverse isocyanate monomers and their comparisons with two-component polyurethane. Materials Today Communications. 45. 112236–112236. 1 indexed citations
6.
Zeng, Yijian, Bart Schilperoort, Danyang Yu, et al.. (2025). A physically consistent dataset of water-energy-carbon fluxes across the Soil-Plant-Atmosphere Continuum. Scientific Data. 12(1). 1146–1146.
7.
Zhang, Pei, Donghai Zheng, R. van der Velde, et al.. (2024). Assessment of long-term multisource surface and subsurface soil moisture products and estimate methods on the Tibetan Plateau. Journal of Hydrology. 640. 131713–131713. 3 indexed citations
9.
Zeng, Yijian & Zhongbo Su. (2024). Digital twin approach for the soil-plant-atmosphere continuum: think big, model small. SHILAP Revista de lepidopterología. 2. 3 indexed citations
10.
Wang, Binbin, Yaoming Ma, Yan Wang, et al.. (2023). Analysis of Lake Stratification and Mixing and Its Influencing Factors over High Elevation Large and Small Lakes on the Tibetan Plateau. Water. 15(11). 2094–2094. 6 indexed citations
11.
Li, Mengna, Hui Qian, M. Lubczynski, et al.. (2023). Hydrogeochemical characterization and CO2 consumption in the Maqu catchment of the Qinghai-Tibetan Plateau by multiple hydrogeochemical methods. Journal of Hydrology. 624. 129899–129899. 9 indexed citations
12.
Han, Qianqian, Yijian Zeng, Egor Prikaziuk, et al.. (2023). Ensemble of optimised machine learning algorithms for predicting surface soil moisture content at a global scale. Geoscientific model development. 16(20). 5825–5845. 9 indexed citations
13.
Han, Qianqian, Yijian Zeng, Lijie Zhang, et al.. (2023). Global long term daily 1 km surface soil moisture dataset with physics informed machine learning. Scientific Data. 10(1). 101–101. 50 indexed citations
14.
Chen, Xuelong, Zhongbo Su, Yaoming Ma, Isabel F. Trigo, & Pierre Gentine. (2021). Remote Sensing of Global Daily Evapotranspiration based on a Surface Energy Balance Method and Reanalysis Data. Journal of Geophysical Research Atmospheres. 126(16). 53 indexed citations
15.
Francos, Nicolas, Nunzio Romano, Paolo Nasta, et al.. (2021). Mapping Water Infiltration Rate Using Ground and UAV Hyperspectral Data: A Case Study of Alento, Italy. Remote Sensing. 13(13). 2606–2606. 18 indexed citations
16.
Trebs, Ivonne, Kaniska Mallick, Nishan Bhattarai, et al.. (2021). The role of aerodynamic resistance in thermal remote sensing-based evapotranspiration models. University of Twente Research Information. 2 indexed citations
17.
Zheng, Donghai, Xin Li, Tianjie Zhao, et al.. (2020). Impact of Soil Permittivity and Temperature Profile on L-Band Microwave Emission of Frozen Soil. IEEE Transactions on Geoscience and Remote Sensing. 59(5). 4080–4093. 19 indexed citations
18.
Stein, Alfred, et al.. (2019). The use of bivariate copulas for bias correction of reanalysis air temperature data. PLoS ONE. 14(5). e0216059–e0216059. 7 indexed citations
19.
Yuan, Xing, Peng Ji, Linying Wang, et al.. (2018). High‐Resolution Land Surface Modeling of Hydrological Changes Over the Sanjiangyuan Region in the Eastern Tibetan Plateau: 1. Model Development and Evaluation. Journal of Advances in Modeling Earth Systems. 10(11). 2806–2828. 65 indexed citations
20.
Su, Zhongbo, et al.. (2015). EFFECT OF LAND USE CHANGE ON LAKE WATER QUALITY IN DIFFERENT BUFFER ZONES. Applied Ecology and Environmental Research. 13(3). 19 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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