Xuesong Zhang

9.4k total citations · 5 hit papers
216 papers, 6.9k citations indexed

About

Xuesong Zhang is a scholar working on Water Science and Technology, Global and Planetary Change and Environmental Engineering. According to data from OpenAlex, Xuesong Zhang has authored 216 papers receiving a total of 6.9k indexed citations (citations by other indexed papers that have themselves been cited), including 96 papers in Water Science and Technology, 85 papers in Global and Planetary Change and 57 papers in Environmental Engineering. Recurrent topics in Xuesong Zhang's work include Hydrology and Watershed Management Studies (90 papers), Soil and Water Nutrient Dynamics (34 papers) and Flood Risk Assessment and Management (24 papers). Xuesong Zhang is often cited by papers focused on Hydrology and Watershed Management Studies (90 papers), Soil and Water Nutrient Dynamics (34 papers) and Flood Risk Assessment and Management (24 papers). Xuesong Zhang collaborates with scholars based in United States, China and South Korea. Xuesong Zhang's co-authors include Raghavan Srinivasan, R. C. Izaurralde, Kaiguang Zhao, Ritvik Sahajpal, Junyu Qi, G. Philip Robertson, Ilya Gelfand, Katherine L. Gross, Yuyu Zhou and Qichun Yang and has published in prestigious journals such as Nature, Environmental Science & Technology and The Science of The Total Environment.

In The Last Decade

Xuesong Zhang

206 papers receiving 6.7k citations

Hit Papers

5 papers align trajectories

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.

Sustainable bioenergy production from marginal lands in the US Midwest

2013 585 citations Ilya Gelfand, Ritvik Sahajpal et al. profile →
Detecting change-point, trend, and seasonality in satellite time series data to track abrupt changes and nonlinear dynamics: A Bayesian ensemble algorithm

2019 309 citations Kaiguang Zhao, Xuesong Zhang et al. profile →
A multi-scale daily SPEI dataset for drought characterization at observation stations over mainland China from 1961 to 2018

2021 161 citations Qianfeng Wang, Jingyu Zeng et al. Earth system science data profile →
Understanding climate change impacts on drought in China over the 21st century: a multi-model assessment from CMIP6

2024 65 citations Junyu Qi, Rongrong Zhang et al. profile →
Climate change impacts on crop yields: A review of empirical findings, statistical crop models, and machine learning methods

2024 47 citations Xuesong Zhang, Guoyong Leng et al. profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Xuesong Zhang United States	47	2.8k	2.6k	1.8k	1.0k	813	216	6.9k
Ximing Cai United States	64	4.5k 1.6×	6.6k 2.6×	1.9k 1.0×	1.2k 1.1×	1.1k 1.4×	316	12.4k
Rafael Muñoz‐Carpena United States	42	1.7k 0.6×	2.5k 1.0×	1.9k 1.1×	1.2k 1.1×	2.0k 2.5×	229	7.5k
Joseph Alcamo Germany	37	3.0k 1.1×	3.3k 1.3×	1.4k 0.8×	1.2k 1.2×	416 0.5×	86	8.4k
Katherine Calvin United States	53	5.6k 2.0×	1.7k 0.7×	2.4k 1.4×	1.3k 1.3×	459 0.6×	158	12.3k
Lutz Breuer Germany	49	3.2k 1.1×	3.6k 1.4×	1.8k 1.0×	1.4k 1.3×	1.6k 2.0×	255	7.7k
Bernard A. Engel United States	49	3.9k 1.4×	5.2k 2.0×	4.1k 2.3×	1.2k 1.2×	1.7k 2.1×	322	9.7k
Uwe A. Schneider Germany	34	2.3k 0.8×	536 0.2×	1.1k 0.6×	1.7k 1.6×	1.7k 2.1×	124	7.5k
Fulco Ludwig Netherlands	53	4.5k 1.6×	4.6k 1.8×	1.2k 0.7×	1.6k 1.5×	772 0.9×	182	10.5k
Erwin Schmid Austria	47	2.2k 0.8×	775 0.3×	1.3k 0.7×	1.5k 1.4×	1.2k 1.4×	168	8.9k
Fanghua Hao China	55	4.7k 1.7×	2.9k 1.1×	968 0.5×	1.4k 1.4×	1.1k 1.4×	190	8.8k

Countries citing papers authored by Xuesong Zhang

Since Specialization

Citations

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

Fields of papers citing papers by Xuesong Zhang

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Xuesong Zhang

This figure shows the co-authorship network connecting the top 25 collaborators of Xuesong Zhang. A scholar is included among the top collaborators of Xuesong Zhang 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 Xuesong Zhang. Xuesong Zhang is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

1.

Zhou, Xiaowen, et al.. (2025). Bridging the ecosystem service supply-demand imbalance: Spatial flow patterns and driving forces in the Yangtze River midstream urban agglomeration, China. Ecological Indicators. 175. 113531–113531. 3 indexed citations

2.

Liang, Kang, Xuesong Zhang, Virginia L. Jin, et al.. (2023). Simulating agroecosystem soil inorganic nitrogen dynamics under long-term management with an improved SWAT-C model. The Science of The Total Environment. 879. 162906–162906. 14 indexed citations

3.

Zhang, Xuesong, Xin‐Zhong Liang, Martha C. Anderson, et al.. (2023). Multivariate Calibration of the SWAT Model Using Remotely Sensed Datasets. Remote Sensing. 15(9). 2417–2417. 16 indexed citations

4.

Chen, Shouzhi, Yongshuo H. Fu, Zhaofei Wu, et al.. (2022). Informing the SWAT model with remote sensing detected vegetation phenology for improved modeling of ecohydrological processes. Journal of Hydrology. 616. 128817–128817. 44 indexed citations

5.

Zhang, Maomao, et al.. (2022). The spatial spillover effect and nonlinear relationship analysis between land resource misallocation and environmental pollution: Evidence from China. Journal of Environmental Management. 321. 115873–115873. 101 indexed citations

6.

Wang, Qianfeng, Jingyu Zeng, Junyu Qi, et al.. (2021). A multi-scale daily SPEI dataset for drought characterization at observation stations over mainland China from 1961 to 2018. Earth system science data. 13(2). 331–341. 161 indexed citations breakdown →

7.

Zhang, Xuesong, Jian-Jun Guo, Tian‐Ci Yi, & Dao‐Chao Jin. (2020). Two new species of the genus Onchodellus (Acari: Pachylaelapidae) from China. Zootaxa. 4801(3). zootaxa.4801.3.2–zootaxa.4801.3.2. 3 indexed citations

8.

Fang, Yilin, Xingyuan Chen, Xuesong Zhang, et al.. (2020). A multirate mass transfer model to represent the interaction of multicomponent biogeochemical processes between surface water and hyporheic zones (SWAT-MRMT-R 1.0). 5 indexed citations

9.

Fang, Yilin, Xingyuan Chen, Xuesong Zhang, et al.. (2020). A multirate mass transfer model to represent the interaction of multicomponent biogeochemical processes between surface water and hyporheic zones (SWAT-MRMT-R 1.0). Geoscientific model development. 13(8). 3553–3569. 19 indexed citations

10.

Qiu, Jiali, Qichun Yang, Xuesong Zhang, et al.. (2019). Implications of water management representations for watershed hydrologic modeling in the Yakima River basin. Hydrology and earth system sciences. 23(1). 35–49. 38 indexed citations

11.

Scheibe, Tim, Xingyuan Chen, James Stegen, et al.. (2018). Data-Model Integration for Improved Prediction of River Corridor and Watershed Function. 1 indexed citations

12.

Liu, Yaling, Mohamad Hejazi, Hong‐Yi Li, Xuesong Zhang, & Guoyong Leng. (2018). A hydrological emulator for global applications – HE v1.0.0. Geoscientific model development. 11(3). 1077–1092. 23 indexed citations

13.

Tan, Zeli, L. Ruby Leung, Hong‐Yi Li, et al.. (2017). A Global Data Analysis for Representing Sediment and Particulate Organic Carbon Yield in Earth System Models. Water Resources Research. 53(12). 10674–10700. 21 indexed citations

14.

Liu, Yaling, Mohamad Hejazi, Hong‐Yi Li, Xuesong Zhang, & Guoyong Leng. (2017). A Hydrological Emulator for Global Applications. 5 indexed citations

15.

Cai, Xitian, et al.. (2016). Integration of nitrogen dynamics into the Noah-MP land surface model v1.1 for climate and environmental predictions. Geoscientific model development. 9(1). 1–15. 40 indexed citations

16.

Sahajpal, Ritvik, Xuesong Zhang, R. C. Izaurralde, Ilya Gelfand, & G. C. Hurtt. (2014). Identifying representative crop rotation patterns and grassland loss in the US Western Corn Belt. Computers and Electronics in Agriculture. 108. 173–182. 49 indexed citations

17.

Zhang, Xuesong, Ritvik Sahajpal, David H. Manowitz, et al.. (2014). Multi-scale geospatial agroecosystem modeling: A case study on the influence of soil data resolution on carbon budget estimates. The Science of The Total Environment. 479-480. 138–150. 20 indexed citations

18.

Zhang, Xuesong. (2012). Design and Evaluation of a Socially Enhanced Classroom Blog to Promote Student Learning in Higher Education. Americas Conference on Information Systems. 5 indexed citations

19.

Zhang, Xuesong, Shuanghe Shen, Jun Li, & Qiang Yu. (2006). Soil CH_4 Uptake in Winter Wheat Field in the North China Plain. Nanjing Qixiang Xueyuan xuebao. 4 indexed citations

20.

Zhang, Xuesong. (2005). Management of wheat soil-borne diseases under the conservative farming system. Xibei Nong-Lin Keji Daxue xuebao. Ziran kexue ban. 6 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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