Hua Wu

8.0k total citations · 5 hit papers
191 papers, 6.2k citations indexed

About

Hua Wu is a scholar working on Environmental Engineering, Atmospheric Science and Global and Planetary Change. According to data from OpenAlex, Hua Wu has authored 191 papers receiving a total of 6.2k indexed citations (citations by other indexed papers that have themselves been cited), including 121 papers in Environmental Engineering, 108 papers in Atmospheric Science and 58 papers in Global and Planetary Change. Recurrent topics in Hua Wu's work include Urban Heat Island Mitigation (109 papers), Remote Sensing and Land Use (54 papers) and Climate change and permafrost (38 papers). Hua Wu is often cited by papers focused on Urban Heat Island Mitigation (109 papers), Remote Sensing and Land Use (54 papers) and Climate change and permafrost (38 papers). Hua Wu collaborates with scholars based in China, France and United States. Hua Wu's co-authors include Zhao-Liang Li, Bo‐Hui Tang, Guangjian Yan, José A. Sobrino, Zhengming Wan, Huazhong Ren, Si‐Bo Duan, Isabel F. Trigo, Ronglin Tang and Pei Leng and has published in prestigious journals such as Nature Communications, PLoS ONE and Remote Sensing of Environment.

In The Last Decade

Hua Wu

179 papers receiving 5.9k citations

Hit Papers

Satellite-derived land surface temperature: Current statu... 2012 2026 2016 2021 2013 2012 2019 2022 2023 500 1000 1.5k

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Hua Wu China 32 4.5k 3.2k 2.4k 1.1k 668 191 6.2k
Bo‐Hui Tang China 30 4.5k 1.0× 3.2k 1.0× 2.9k 1.2× 1.0k 1.0× 649 1.0× 202 6.4k
Huazhong Ren China 35 3.4k 0.7× 2.3k 0.7× 2.2k 0.9× 1.3k 1.2× 508 0.8× 132 5.3k
V. Caselles Spain 44 3.6k 0.8× 2.5k 0.8× 3.1k 1.3× 1.4k 1.3× 629 0.9× 203 6.7k
Glynn Hulley United States 39 2.7k 0.6× 2.2k 0.7× 1.9k 0.8× 746 0.7× 480 0.7× 98 4.4k
Ji Zhou China 36 2.7k 0.6× 2.0k 0.6× 1.7k 0.7× 787 0.7× 463 0.7× 159 4.6k
Qinhuo Liu China 41 3.8k 0.9× 2.8k 0.9× 3.5k 1.5× 3.2k 3.0× 296 0.4× 488 7.4k
Guangjian Yan China 43 6.6k 1.5× 2.9k 0.9× 4.1k 1.7× 4.0k 3.7× 531 0.8× 238 9.8k
Zhao-Liang Li China 52 8.7k 1.9× 6.3k 2.0× 5.1k 2.1× 2.3k 2.2× 1.2k 1.8× 346 12.5k
Jiancheng Shi China 45 3.7k 0.8× 5.3k 1.7× 2.9k 1.2× 805 0.8× 128 0.2× 448 8.2k
Massimo Menenti Netherlands 49 4.4k 1.0× 2.7k 0.8× 6.8k 2.8× 3.4k 3.2× 240 0.4× 318 10.7k

Countries citing papers authored by Hua Wu

Since Specialization
Citations

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

Fields of papers citing papers by Hua Wu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Hua Wu

This figure shows the co-authorship network connecting the top 25 collaborators of Hua Wu. A scholar is included among the top collaborators of Hua Wu 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 Hua Wu. Hua Wu 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.
Li, Yitao, Jun Ge, Hua Wu, et al.. (2025). Amplified local cooling effect of forestation in warming Europe. Nature Communications. 16(1). 8412–8412.
2.
Zhao, Long, Lisheng Song, Hua Wu, et al.. (2024). A Two-Step Reconstruction Framework for Mapping Seamless All-Weather Daily Evapotranspiration Using Thermal Infrared Data. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing. 18. 424–434. 2 indexed citations
3.
Li, Xiujuan, et al.. (2024). A practical machine learning approach to retrieve land surface emissivity from space using visible and near-infrared to short-wave infrared data. International Journal of Applied Earth Observation and Geoinformation. 134. 104170–104170.
4.
Ma, Jin, Ji Zhou, Frank-Michael Göttsche, et al.. (2023). An atmospheric influence correction method for longwave radiation-based in-situ land surface temperature. Remote Sensing of Environment. 293. 113611–113611. 24 indexed citations
5.
Xu, Tong & Hua Wu. (2023). Spatiotemporal Analysis of Vegetation Cover in Relation to Its Driving Forces in Qinghai–Tibet Plateau. Forests. 14(9). 1835–1835. 14 indexed citations
6.
Liu, Xiangyang, Zhao-Liang Li, Yitao Li, et al.. (2023). Local temperature responses to actual land cover changes present significant latitudinal variability and asymmetry. Science Bulletin. 68(22). 2849–2861. 40 indexed citations
7.
Li, Zhao‐Liang, Hua Wu, Si‐Bo Duan, et al.. (2022). Satellite Remote Sensing of Global Land Surface Temperature: Definition, Methods, Products, and Applications. Reviews of Geophysics. 61(1). 327 indexed citations breakdown →
8.
Wu, Hua, et al.. (2021). Thermal Pollution Monitoring of Tianwan Nuclear Power Plant for the Past 20 Years Based on Landsat Remote Sensed Data. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing. 14. 6146–6155. 12 indexed citations
9.
Li, Ni, et al.. (2020). Spatiotemporal Analysis of Vegetation Changes Along the Belt and Road Initiative Region From 1982 to 2015. IEEE Access. 8. 122579–122588. 24 indexed citations
10.
Wu, Hua, et al.. (2019). A Temporal Disaggregation Approach for TRMM Monthly Precipitation Products Using AMSR2 Soil Moisture Data. Remote Sensing. 11(24). 2962–2962. 9 indexed citations
11.
Zhou, Fang-Cheng, Zhao-Liang Li, Hua Wu, et al.. (2018). A Practical Two-Stage Algorithm for Retrieving Land Surface Temperature from AMSR-E Data—A Case Study Over China. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing. 11(6). 1939–1948. 11 indexed citations
12.
Zhang, Yuze, Li Ni, Hua Wu, & Xiaoguang Jiang. (2018). Evaluations of the Wavelet-Transformed Temperature and Emissivity Separation Method: Lessons Learned From Simulated and Field-Measured TIR Data. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing. 11(6). 1839–1847. 2 indexed citations
13.
Zhou, Fang-Cheng, Zhao-Liang Li, Hua Wu, et al.. (2017). Retrieving K-Band Instantaneous Microwave Land Surface Emissivity Based on Passive Microwave Brightness Temperature and Atmospheric Precipitable Water Vapor Data. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing. 10(12). 5608–5617. 4 indexed citations
14.
15.
Fan, Xiwei, Bo‐Hui Tang, Hua Wu, Guangjian Yan, & Zhao-Liang Li. (2015). Daytime Land Surface Temperature Extraction from MODIS Thermal Infrared Data under Cirrus Clouds. Sensors. 15(5). 9942–9961. 9 indexed citations
16.
Zhang, Tingbin, Zhijun Li, Guihua Yi, et al.. (2014). Cross comparison of the vegetation indexes between Landsat TM and HJ CCD. Guotu ziyuan yaogan. 27(1). 87–91. 3 indexed citations
17.
Wu, Hua. (2012). Research on a passive localization method based on dual match in combined air attack. Transducer and Microsystem Technologies. 1 indexed citations
18.
Wu, Hua, et al.. (2009). Analysis and Application of Urban Dynamic Traffic Flow Map Based on Technology of GPS Virtual Loops. Information Systems. 2009(15). 71–74. 1 indexed citations
19.
Wu, Hua. (2004). Fair Medium Access in Wireless Ad Hoc Network. 1 indexed citations
20.
Jayalath, Dhammika, Chintha Tellambura, & Hua Wu. (2000). Reduced Complexity PTS and New Phase Sequences for SLM to Reduce PAP of an OFDM Signal. QUT ePrints (Queensland University of Technology). 24 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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