Wang Zhou

2.1k total citations · 2 hit papers
52 papers, 1.2k citations indexed

About

Wang Zhou is a scholar working on Global and Planetary Change, Soil Science and Atmospheric Science. According to data from OpenAlex, Wang Zhou has authored 52 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 22 papers in Global and Planetary Change, 15 papers in Soil Science and 13 papers in Atmospheric Science. Recurrent topics in Wang Zhou's work include Plant Water Relations and Carbon Dynamics (13 papers), Soil Carbon and Nitrogen Dynamics (12 papers) and Climate change impacts on agriculture (9 papers). Wang Zhou is often cited by papers focused on Plant Water Relations and Carbon Dynamics (13 papers), Soil Carbon and Nitrogen Dynamics (12 papers) and Climate change impacts on agriculture (9 papers). Wang Zhou collaborates with scholars based in United States, China and Canada. Wang Zhou's co-authors include Bin Peng, Kaiyu Guan, Chongya Jiang, Jiancheng Shi, R. F. Grant, Zhenong Jin, Jinyun Tang, Andrew J. Margenot, Sheng Wang and Tianxing Wang and has published in prestigious journals such as Nature Communications, Water Research and Remote Sensing of Environment.

In The Last Decade

Wang Zhou

51 papers receiving 1.1k citations

Hit Papers

Using soil library hyperspectral reflectance and machine ... 2022 2026 2023 2024 2022 2024 50 100 150

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Wang Zhou United States 19 416 313 308 259 248 52 1.2k
Alim Pulatov Uzbekistan 17 277 0.7× 260 0.8× 353 1.1× 387 1.5× 304 1.2× 44 1.3k
Amy L. Kaleita United States 19 227 0.5× 305 1.0× 352 1.1× 304 1.2× 303 1.2× 84 1.2k
Calogero Schillaci Italy 20 241 0.6× 293 0.9× 444 1.4× 301 1.2× 491 2.0× 61 1.3k
Muhammad Mubeen Pakistan 23 713 1.7× 418 1.3× 393 1.3× 361 1.4× 136 0.5× 48 1.4k
S. S. Ray India 23 412 1.0× 723 2.3× 297 1.0× 586 2.3× 221 0.9× 72 1.6k
Suk Young Hong South Korea 17 344 0.8× 599 1.9× 683 2.2× 339 1.3× 332 1.3× 109 1.5k
Afshin Ghahramani Australia 21 294 0.7× 323 1.0× 378 1.2× 109 0.4× 239 1.0× 56 1.2k
Shahrokh Zand‐Parsa Iran 20 612 1.5× 150 0.5× 263 0.9× 409 1.6× 316 1.3× 70 1.2k
Tibor Tóth Hungary 20 209 0.5× 295 0.9× 354 1.1× 450 1.7× 512 2.1× 122 1.5k
Shujing Qin China 23 725 1.7× 207 0.7× 296 1.0× 240 0.9× 329 1.3× 49 1.3k

Countries citing papers authored by Wang Zhou

Since Specialization
Citations

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

Fields of papers citing papers by Wang Zhou

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Wang Zhou

This figure shows the co-authorship network connecting the top 25 collaborators of Wang Zhou. A scholar is included among the top collaborators of Wang 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 Wang Zhou. Wang 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.
Xie, Yuhao, Jianhua Zhao, Wenlei Cao, et al.. (2025). OsERF7 Negatively Regulates Resistance to Sheath Blight Disease by Inhibiting Phytoalexin Biosynthesis. Rice Science. 32(3). 367–379.
2.
Qin, Rongzhu, Kaiyu Guan, Bin Peng, et al.. (2025). A model-data fusion approach for quantifying the carbon budget in cotton agroecosystems across the United States. Agricultural and Forest Meteorology. 363. 110407–110407. 1 indexed citations
3.
Guan, Kaiyu, Wang Zhou, Bin Peng, et al.. (2025). Comparing continuous-corn and soybean-corn rotation cropping systems in the U.S. central Midwest: Trade-offs among crop yield, nutrient losses, and change in soil organic carbon. Agriculture Ecosystems & Environment. 393. 109739–109739. 1 indexed citations
4.
5.
Wang, Tianzi, Jingwen Zhang, Zejun Li, et al.. (2025). Roles of Soil and Atmospheric Dryness on Terrestrial Vegetation Productivity in China ‐ Which Dominates at What Thresholds. Earth s Future. 13(3). 5 indexed citations
6.
Liu, Licheng, Wang Zhou, Kaiyu Guan, et al.. (2024). Knowledge-guided machine learning can improve carbon cycle quantification in agroecosystems. Nature Communications. 15(1). 357–357. 60 indexed citations breakdown →
7.
Qin, Ziqi, Kaiyu Guan, Wang Zhou, et al.. (2023). Assessing long‐term impacts of cover crops on soil organic carbon in the central US Midwestern agroecosystems. Global Change Biology. 29(9). 2572–2590. 34 indexed citations
8.
Guan, Kaiyu, Ziqi Qin, Sheng Wang, et al.. (2023). Improved quantification of cover crop biomass and ecosystem services through remote sensing-based model–data fusion. Environmental Research Letters. 18(9). 94018–94018. 4 indexed citations
9.
Yang, Qi, Licheng Liu, Junxiong Zhou, et al.. (2023). A flexible and efficient knowledge-guided machine learning data assimilation (KGML-DA) framework for agroecosystem prediction in the US Midwest. Remote Sensing of Environment. 299. 113880–113880. 22 indexed citations
10.
Wang, Sheng, Kaiyu Guan, Chenhui Zhang, et al.. (2022). Cross-scale sensing of field-level crop residue cover: Integrating field photos, airborne hyperspectral imaging, and satellite data. Remote Sensing of Environment. 285. 113366–113366. 45 indexed citations
11.
Liu, Licheng, Shaoming Xu, Jinyun Tang, et al.. (2022). KGML-ag: a modeling framework of knowledge-guided machine learning to simulate agroecosystems: a case study of estimating N 2 O emission using data from mesocosm experiments. Geoscientific model development. 15(7). 2839–2858. 33 indexed citations
12.
Guan, Kaiyu, Wang Zhou, Bin Peng, et al.. (2022). Assessing the impacts of pre-growing-season weather conditions on soil nitrogen dynamics and corn productivity in the U.S. Midwest. Field Crops Research. 284. 108563–108563. 15 indexed citations
14.
Zhang, Jingwen, Kaiyu Guan, Bin Peng, et al.. (2021). Sustainable irrigation based on co-regulation of soil water supply and atmospheric evaporative demand. Nature Communications. 12(1). 5549–5549. 101 indexed citations
15.
Kim, Tae‐Gon, Zhenong Jin, Timothy M. Smith, et al.. (2021). Quantifying nitrogen loss hotspots and mitigation potential for individual fields in the US Corn Belt with a metamodeling approach. Environmental Research Letters. 16(7). 75008–75008. 11 indexed citations
18.
Zhou, Wang, et al.. (2019). New Methods for Deriving Clear‐Sky Surface Longwave Downward Radiation Based on Remotely Sensed Data and Ground Measurements. Earth and Space Science. 6(11). 2071–2086. 12 indexed citations
19.
Zhou, Wang, Bin Peng, & Jiancheng Shi. (2017). Reconstructing spatial–temporal continuous MODIS land surface temperature using the DINEOF method. Journal of Applied Remote Sensing. 11(4). 1–1. 25 indexed citations
20.
Zhou, Wang. (2003). Effects of long-term located fertilization on soil nutrient in the farmland ecosystems of grey desert soil oases. Ganhan diqu nongye yanjiu. 3 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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