Peng Fu

4.8k total citations · 2 hit papers
73 papers, 3.7k citations indexed

About

Peng Fu is a scholar working on Environmental Engineering, Global and Planetary Change and Ecology. According to data from OpenAlex, Peng Fu has authored 73 papers receiving a total of 3.7k indexed citations (citations by other indexed papers that have themselves been cited), including 41 papers in Environmental Engineering, 26 papers in Global and Planetary Change and 22 papers in Ecology. Recurrent topics in Peng Fu's work include Urban Heat Island Mitigation (28 papers), Remote Sensing in Agriculture (19 papers) and Land Use and Ecosystem Services (14 papers). Peng Fu is often cited by papers focused on Urban Heat Island Mitigation (28 papers), Remote Sensing in Agriculture (19 papers) and Land Use and Ecosystem Services (14 papers). Peng Fu collaborates with scholars based in United States, China and Canada. Peng Fu's co-authors include Qihao Weng, Feng Gao, Carl J. Bernacchi, Zhenfeng Shao, Katherine Meacham‐Hensold, Leiqiu Hu, Kaiyu Guan, Qimin Cheng, Huyan Fu and Yanhua Xie and has published in prestigious journals such as Remote Sensing of Environment, Journal of Cleaner Production and Water Resources Research.

In The Last Decade

Peng Fu

70 papers receiving 3.6k citations

Hit Papers

A time series analysis of urbanization induced land use a... 2014 2026 2018 2022 2016 2014 100 200 300 400

Peers

Peng Fu
Peng Fu
Citations per year, relative to Peng Fu Peng Fu (= 1×) peers Huazhong Ren

Countries citing papers authored by Peng Fu

Since Specialization
Citations

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

Fields of papers citing papers by Peng Fu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Peng Fu

This figure shows the co-authorship network connecting the top 25 collaborators of Peng Fu. A scholar is included among the top collaborators of Peng Fu 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 Fu. Peng Fu 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.
Shao, Zhenfeng, et al.. (2025). Unraveling the impact of urban expansion on vegetation carbon sequestration capacity: A case study of the Yangtze River Economic Belt. Sustainable Cities and Society. 120. 106157–106157. 12 indexed citations
2.
Bai, Kaixu, et al.. (2025). SSRMF: A sparse spectral reconstruction enhanced matched filter for improving point-source methane emission detection in complex terrain. ISPRS Journal of Photogrammetry and Remote Sensing. 225. 238–256. 1 indexed citations
3.
Zhang, Ya, Peng Fu, Chaoya Dang, et al.. (2025). Synergistic mapping of urban tree canopy height using ICESat-2 data and GF-2 imagery. International Journal of Applied Earth Observation and Geoinformation. 136. 104348–104348.
4.
Dang, Chaoya, Zhenfeng Shao, Peng Fu, et al.. (2024). Causal inference reveals the dominant role of interannual variability of carbon sinks in complicated environmental-terrestrial ecosystems. Remote Sensing of Environment. 311. 114300–114300. 7 indexed citations
5.
Du, Huilin, Wenfeng Zhan, James Voogt, et al.. (2023). Contrasting Trends and Drivers of Global Surface and Canopy Urban Heat Islands. Geophysical Research Letters. 50(15). 40 indexed citations
6.
Evers, Jochem B., et al.. (2022). Leaf, plant, to canopy: A mechanistic study on aboveground plasticity and plant density within a maize–soybean intercrop system for the Midwest, USA. Plant Cell & Environment. 46(2). 405–421. 19 indexed citations
7.
Liu, Zihan, Jiameng Lai, Wenfeng Zhan, et al.. (2022). Urban Heat Islands Significantly Reduced by COVID‐19 Lockdown. Geophysical Research Letters. 49(2). 55 indexed citations
8.
Fu, Peng, Christopher M. Montes, Matthew H. Siebers, et al.. (2022). Advances in field-based high-throughput photosynthetic phenotyping. Journal of Experimental Botany. 73(10). 3157–3172. 38 indexed citations
9.
Huang, Shuzhe, Xiang Zhang, Nengcheng Chen, et al.. (2022). A Novel Fusion Method for Generating Surface Soil Moisture Data With High Accuracy, High Spatial Resolution, and High Spatio‐Temporal Continuity. Water Resources Research. 58(5). 27 indexed citations
10.
Fu, Peng, Leiqiu Hu, Elizabeth A. Ainsworth, et al.. (2021). Enhanced drought resistance of vegetation growth in cities due to urban heat, CO2 domes and O3 troughs. Environmental Research Letters. 16(12). 124052–124052. 7 indexed citations
11.
Fu, Peng, Deepak Jaiswal, Justin M. McGrath, et al.. (2021). Drought imprints on crops can reduce yield loss: Nature's insights for food security. Food and Energy Security. 11(1). e332–e332. 13 indexed citations
12.
Siebers, Matthew H., N. Gomez‐Casanovas, Peng Fu, et al.. (2021). Emerging approaches to measure photosynthesis from the leaf to the ecosystem. Emerging Topics in Life Sciences. 5(2). 261–274. 14 indexed citations
13.
Fu, Peng, Katherine Meacham‐Hensold, Matthew H. Siebers, & Carl J. Bernacchi. (2020). The inverse relationship between solar-induced fluorescence yield and photosynthetic capacity: benefits for field phenotyping. Journal of Experimental Botany. 72(4). 1295–1306. 25 indexed citations
14.
Meacham‐Hensold, Katherine, Peng Fu, Jin Wu, et al.. (2020). Plot-level rapid screening for photosynthetic parameters using proximal hyperspectral imaging. Journal of Experimental Botany. 71(7). 2312–2328. 74 indexed citations
15.
Fu, Peng, Katherine Meacham‐Hensold, Kaiyu Guan, Jin Wu, & Carl J. Bernacchi. (2020). Estimating photosynthetic traits from reflectance spectra: A synthesis of spectral indices, numerical inversion, and partial least square regression. Plant Cell & Environment. 43(5). 1241–1258. 81 indexed citations
16.
Meacham‐Hensold, Katherine, Christopher M. Montes, Jin Wu, et al.. (2019). High-throughput field phenotyping using hyperspectral reflectance and partial least squares regression (PLSR) reveals genetic modifications to photosynthetic capacity. Remote Sensing of Environment. 231. 111176–111176. 154 indexed citations
17.
Fu, Peng, Yanhua Xie, Caitlin E. Moore, Soe W. Myint, & Carl J. Bernacchi. (2019). A Comparative Analysis of Anthropogenic CO2 Emissions at City Level Using OCO‐2 Observations: A Global Perspective. Earth s Future. 7(9). 1058–1070. 22 indexed citations
18.
Fu, Peng. (2009). Method for environment impact assessment of hydropower development considering social factors. 2 indexed citations
19.
Liu, Muhua, et al.. (2007). Non‐destructive estimation peach SSC and firmness by mutispectral reflectance imaging. New Zealand Journal of Agricultural Research. 50(5). 601–608. 14 indexed citations
20.
Fu, Peng, Berj L. Bardakjian, & Peter L. Carlen. (1992). Ethanol uncouples dentate granule neurons by increasing junctional resistance: A multineuronal system model approach. Neuroscience. 51(1). 47–54. 4 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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