Peng Zhu

4.6k total citations · 1 hit paper
96 papers, 1.8k citations indexed

About

Peng Zhu is a scholar working on Global and Planetary Change, Plant Science and Electrical and Electronic Engineering. According to data from OpenAlex, Peng Zhu has authored 96 papers receiving a total of 1.8k indexed citations (citations by other indexed papers that have themselves been cited), including 23 papers in Global and Planetary Change, 20 papers in Plant Science and 18 papers in Electrical and Electronic Engineering. Recurrent topics in Peng Zhu's work include Climate change impacts on agriculture (13 papers), Plant Water Relations and Carbon Dynamics (11 papers) and Land Use and Ecosystem Services (9 papers). Peng Zhu is often cited by papers focused on Climate change impacts on agriculture (13 papers), Plant Water Relations and Carbon Dynamics (11 papers) and Land Use and Ecosystem Services (9 papers). Peng Zhu collaborates with scholars based in China, United States and Hong Kong. Peng Zhu's co-authors include J. Douglas Macdougall, Philippe Ciais, Jennifer Burney, Qinchuan Xin, David Makowski, S. M. Huang, Qianlai Zhuang, J. Wang, Xinhua He and Minggang Xu and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Geochimica et Cosmochimica Acta and The Science of The Total Environment.

In The Last Decade

Peng Zhu

84 papers receiving 1.7k citations

Hit Papers

Warming reduces global agricultural production by decreas... 2022 2026 2023 2024 2022 40 80 120

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Peng Zhu China 25 447 425 394 389 278 96 1.8k
Guangxin Zhang China 29 415 0.9× 364 0.9× 414 1.1× 823 2.1× 105 0.4× 195 2.7k
Dongwei GUI China 32 620 1.4× 472 1.1× 853 2.2× 951 2.4× 245 0.9× 165 3.0k
You Wu China 22 593 1.3× 297 0.7× 544 1.4× 593 1.5× 65 0.2× 54 2.0k
Satoshi Matsumoto Japan 32 382 0.9× 495 1.2× 252 0.6× 170 0.4× 277 1.0× 237 3.3k
Kensuke Kawamura Japan 26 536 1.2× 1.0k 2.4× 253 0.6× 518 1.3× 117 0.4× 104 2.4k
Jon M. Wraith United States 25 694 1.6× 420 1.0× 591 1.5× 382 1.0× 141 0.5× 58 3.6k
Сун United States 22 501 1.1× 240 0.6× 276 0.7× 287 0.7× 179 0.6× 399 2.3k
Daniel Zimmer Germany 13 529 1.2× 158 0.4× 369 0.9× 356 0.9× 317 1.1× 68 1.4k
Michael J. Savage South Africa 23 541 1.2× 180 0.4× 358 0.9× 892 2.3× 219 0.8× 122 2.0k

Countries citing papers authored by Peng Zhu

Since Specialization
Citations

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

Fields of papers citing papers by Peng Zhu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Peng Zhu

This figure shows the co-authorship network connecting the top 25 collaborators of Peng Zhu. A scholar is included among the top collaborators of Peng 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 Peng Zhu. Peng 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.
Liang, Junwei, et al.. (2025). Spectral Structure-Aware Initialization and Probability-Consistent Self-Training for Cross-Scene Hyperspectral Image Classification. IEEE Geoscience and Remote Sensing Letters. 22. 1–5. 2 indexed citations
2.
Liu, Rong, et al.. (2025). DHSNet: Dual Classification Head Self-Training Network for Cross-Scene Hyperspectral Image Classification. IEEE Transactions on Geoscience and Remote Sensing. 63. 1–15. 1 indexed citations
3.
You, Nanshan, J. L. Till, David B. Lobell, et al.. (2025). Climate-driven global cropland changes and consequent feedbacks. Nature Geoscience. 18(7). 639–645. 4 indexed citations
4.
Zhu, Peng, Jianxi Huang, Zhenong Jin, et al.. (2025). Extreme surface solar ultraviolet radiation events reduce maize yields in China. Communications Earth & Environment. 6(1).
5.
Cai, Yaotong, Peng Zhu, Xing Li, et al.. (2025). Dynamics of China's forest carbon storage: the first 30 m annual aboveground biomass mapping from 1985 to 2023. Earth system science data. 17(12). 6993–7018.
6.
Huang, Jianxi, Zhuo Wen, Hai Huang, et al.. (2025). Progress and Perspectives of Crop Yield Forecasting With Remote Sensing: A review. IEEE Geoscience and Remote Sensing Magazine. 13(3). 338–368. 3 indexed citations
7.
Su, Yang, Ronny Lauerwald, David Makowski, et al.. (2025). Future warming increases the chance of success of maize-wheat double cropping in Europe. European Journal of Agronomy. 170. 127723–127723.
8.
Yun, Hanbo, Philippe Ciais, Qing Zhu, et al.. (2024). Changes in above- versus belowground biomass distribution in permafrost regions in response to climate warming. Proceedings of the National Academy of Sciences. 121(25). e2314036121–e2314036121. 13 indexed citations
9.
Cai, Yaotong, et al.. (2024). Forest fragmentation trends and modes in China: Implications for conservation and restoration. International Journal of Applied Earth Observation and Geoinformation. 133. 104094–104094. 7 indexed citations
10.
Yan, Kai, Kai Yang, Shuang Zhao, et al.. (2023). Response of grassland growing season length to extreme climatic events on the Qinghai-Tibetan Plateau. The Science of The Total Environment. 909. 168488–168488. 16 indexed citations
11.
Abramoff, Rose, Philippe Ciais, Peng Zhu, et al.. (2023). Adaptation Strategies Strongly Reduce the Future Impacts of Climate Change on Simulated Crop Yields. Earth s Future. 11(4). 37 indexed citations
13.
Hou, Gang, Qiuhong Sun, Shijin Gong, Peng Zhu, & Yue Hao. (2023). [A case report of death from toxic encephalopathy caused by emamectin·chlorfenapyr].. PubMed. 41(8). 629–631. 2 indexed citations
14.
Zhu, Peng & Jennifer Burney. (2022). Untangling irrigation effects on maize water and heat stress alleviation using satellite data. Hydrology and earth system sciences. 26(3). 827–840. 37 indexed citations
15.
Zhu, Peng, Tae‐Gon Kim, Zhenong Jin, et al.. (2022). The critical benefits of snowpack insulation and snowmelt for winter wheat productivity. Nature Climate Change. 12(5). 485–490. 37 indexed citations
16.
Yang, Hanbo, Shan Han, Dan He, et al.. (2021). Resistance evaluation of walnut ( Juglans spp.) against Xanthomonas arboricola and the correlation between leaf structure and resistance. Forest Pathology. 51(1). 5 indexed citations
17.
18.
Zhu, Peng & Jennifer Burney. (2020). Temperature‐driven harvest decisions amplify US winter wheat loss under climate warming. Global Change Biology. 27(3). 550–562. 19 indexed citations
19.
Shi, Jian, Lianghua Chen, Jian Zhang, et al.. (2020). Physiological and biomass partitioning shifts to water stress under distinct soil types in Populus deltoides saplings. Journal of Plant Ecology. 13(5). 545–553. 4 indexed citations
20.
Ma, Wenqi, et al.. (2015). Characteristics of Nutrient Accumulation and Efficiency in Maize under Different Agronomic Managements. Journal of Agricultural Science and Technology. 17(7). 1755–1767. 1 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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