Wang Zhou

2.1k citations
52 papers · 1.2k · 2 hit papers · h-index 19

Impact in

Papers in

Wang Zhou

51 papers receiving 1.1k citations

Hit Papers

Knowledge-guided machine learning can improve carbon cycle quantification in agroecosystems 2024 · 60 citations
600+1+2Years since publication50100150

Peers

Wang Zhou
Comparison fields: 5 of 94
  • Soil Science 248
  • Environmental Engineering 308
  • Global and Planetary Change 416
  • Ecology 313
  • Atmospheric Science 215
Replace Amy L. Kaleita with:
Amy L. Kaleita United States
Samuel Buis France
Tiphaine Tallec France
Nándor Fodor Hungary
Muhammad Mubeen Pakistan
Antonello Bonfante Italy
Suk Young Hong South Korea
Calogero Schillaci Italy
Afshin Ghahramani Australia
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Citations per field
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Citations per year

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-authors

The 25 scholars most cited alongside Wang Zhou, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Wang Zhou Line = papers co-authored together Wang Zhou links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 52 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Using soil library hyperspectral reflectance and machine learning to predict soil organic carbon: Assessing potential of airborne and spaceborne optical soil sensing
Hit paper breakdown →
2022157
2 2020116
3 2021101
4 202164
5
Knowledge-guided machine learning can improve carbon cycle quantification in agroecosystems
Hit paper breakdown →
202460
6 202155
7 201750
8 202146
9 202245
10 201744
11 201839
12 202334
13 202233
14 202026
15 201725
16 202322
17 202121
18 202221
19 201918
20 202216

About Wang Zhou

Wang Zhou is a scholar working on Global and Planetary Change, Soil Science, Atmospheric Science, Environmental Engineering and Plant Science, having authored 52 papers that have together received 1.2k indexed citations. Recurring topics across this work include Plant Water Relations and Carbon Dynamics (13 papers), Soil Carbon and Nitrogen Dynamics (12 papers), Climate change impacts on agriculture (9 papers), Remote Sensing in Agriculture (7 papers), Urban Heat Island Mitigation (7 papers), Soil and Water Nutrient Dynamics (7 papers), Atmospheric aerosols and clouds (5 papers) and Climate change and permafrost (5 papers). The work is most often cited by research in Soil Science (248 citations), Environmental Engineering (308 citations), Global and Planetary Change (416 citations), Ecology (313 citations) and Atmospheric Science (215 citations). Wang Zhou has collaborated with scholars based in United States, China and Canada. Frequent co-authors include Bin Peng, Kaiyu Guan, Chongya Jiang, Jiancheng Shi, R. F. Grant, Zhenong Jin, Andrew J. Margenot, Jinyun Tang, Sheng Wang and Tianxing Wang. Their work appears in journals such as Remote Sensing of Environment, Environmental Research Letters, Agricultural and Forest Meteorology, Field Crops Research and Water Resources Research.

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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