Penghai Wu

2.8k total citations
52 papers, 2.2k citations indexed

About

Penghai Wu is a scholar working on Environmental Engineering, Atmospheric Science and Media Technology. According to data from OpenAlex, Penghai Wu has authored 52 papers receiving a total of 2.2k indexed citations (citations by other indexed papers that have themselves been cited), including 31 papers in Environmental Engineering, 25 papers in Atmospheric Science and 17 papers in Media Technology. Recurrent topics in Penghai Wu's work include Urban Heat Island Mitigation (24 papers), Remote Sensing and Land Use (19 papers) and Advanced Image Fusion Techniques (11 papers). Penghai Wu is often cited by papers focused on Urban Heat Island Mitigation (24 papers), Remote Sensing and Land Use (19 papers) and Advanced Image Fusion Techniques (11 papers). Penghai Wu collaborates with scholars based in China, South Korea and Australia. Penghai Wu's co-authors include Huanfeng Shen, Liangpei Zhang, Xiaoshuang Ma, Chao Zeng, Yanlan Wu, Hui Yang, Liwen Huang, Zhixiang Yin, Frank-Michael Göttsche and Biao Wang and has published in prestigious journals such as Remote Sensing of Environment, IEEE Transactions on Geoscience and Remote Sensing and Journal of Environmental Management.

In The Last Decade

Penghai Wu

52 papers receiving 2.1k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Penghai Wu China 25 1.3k 895 757 572 436 52 2.2k
Yanlan Wu China 20 645 0.5× 340 0.4× 357 0.5× 335 0.6× 283 0.6× 75 1.4k
Wenji Zhao China 26 583 0.5× 539 0.6× 750 1.0× 158 0.3× 569 1.3× 150 2.1k
Hongzhang Xu China 8 582 0.5× 424 0.5× 356 0.5× 354 0.6× 359 0.8× 17 1.5k
Shuhe Zhao China 22 763 0.6× 565 0.6× 836 1.1× 198 0.3× 814 1.9× 55 2.0k
Aliihsan Şekertekin Türkiye 27 1.2k 0.9× 576 0.6× 886 1.2× 148 0.3× 433 1.0× 67 1.9k
Anupma Prakash United States 26 455 0.4× 530 0.6× 642 0.8× 418 0.7× 394 0.9× 76 1.9k
Xiuguo Liu China 20 473 0.4× 429 0.5× 262 0.3× 169 0.3× 156 0.4× 122 1.3k
Tanvir Islam United States 30 1.3k 1.0× 1.7k 1.9× 1.6k 2.1× 221 0.4× 511 1.2× 85 3.1k
Kai Yan China 28 916 0.7× 497 0.6× 1.1k 1.5× 121 0.2× 1.5k 3.4× 105 2.4k
Jianhao Gao China 7 451 0.3× 324 0.4× 347 0.5× 471 0.8× 415 1.0× 9 1.4k

Countries citing papers authored by Penghai Wu

Since Specialization
Citations

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

Fields of papers citing papers by Penghai Wu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Penghai Wu

This figure shows the co-authorship network connecting the top 25 collaborators of Penghai Wu. A scholar is included among the top collaborators of Penghai 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 Penghai Wu. Penghai 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, Chan, Penghai Wu, Si‐Bo Duan, et al.. (2025). LFSR: Low-resolution Filling then Super-resolution Reconstruction framework for gapless all-weather MODIS-like land surface temperature generation. Remote Sensing of Environment. 319. 114637–114637. 1 indexed citations
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.
Luo, Feng, Heng Luo, Junli Li, et al.. (2024). Time-Series-Based Spatiotemporal Fusion Network for Improving Crop Type Mapping. Remote Sensing. 16(2). 235–235. 6 indexed citations
4.
Yin, Zhixiang, Penghai Wu, Xinyan Li, et al.. (2024). Super-resolution water body mapping with a feature collaborative CNN model by fusing Sentinel-1 and Sentinel-2 images. International Journal of Applied Earth Observation and Geoinformation. 134. 104176–104176. 8 indexed citations
5.
Shen, Huanfeng, Menghui Jiang, Liupeng Lin, et al.. (2024). A mechanism-guided machine learning method for mapping gapless land surface temperature. Remote Sensing of Environment. 303. 114001–114001. 13 indexed citations
6.
Wu, Penghai, et al.. (2023). Remote Sensing Crop Recognition by Coupling Phenological Features and Off-Center Bayesian Deep Learning. Remote Sensing. 15(3). 674–674. 12 indexed citations
7.
Gong, Yuting, Huifang Li, Huanfeng Shen, C.‐I. Meng, & Penghai Wu. (2023). Cloud-covered MODIS LST reconstruction by combining assimilation data and remote sensing data through a nonlocality-reinforced network. International Journal of Applied Earth Observation and Geoinformation. 117. 103195–103195. 26 indexed citations
8.
Huang, Xiaohan, Chan Li, Yang Tian, et al.. (2023). Seamless Reconstruction of AMSR-E Land Surface Temperature Swath Gaps for China’s Landmass. IEEE Transactions on Geoscience and Remote Sensing. 61. 1–15. 2 indexed citations
9.
Ma, Xiaoshuang, et al.. (2022). Detection of marine oil spills from radar satellite images for the coastal ecological risk assessment. Journal of Environmental Management. 325(Pt B). 116637–116637. 45 indexed citations
10.
Wang, Liyuan, Hui Yang, Penghai Wu, et al.. (2022). A Land Cover Classification Method for High-Resolution Remote Sensing Images Based on NDVI Deep Learning Fusion Network. Remote Sensing. 14(21). 5455–5455. 16 indexed citations
11.
Yang, Hui, et al.. (2021). Water Body Automated Extraction in Polarization SAR Images With Dense-Coordinate-Feature-Concatenate Network. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing. 14. 12073–12087. 17 indexed citations
12.
Duan, Si‐Bo, Ru Chen, Mengmeng Wang, et al.. (2021). Reviews of methods for land surface temperature retrieval from Landsat thermal infrared data. National Remote Sensing Bulletin. 25(8). 1591–1617. 39 indexed citations
13.
Wu, Penghai, et al.. (2021). Downscaling of Landsat 8 land surface temperature products based on deep learning. National Remote Sensing Bulletin. 25(8). 1767–1777. 2 indexed citations
14.
Li, Mengya, et al.. (2021). A Deep Learning Method of Water Body Extraction From High Resolution Remote Sensing Images With Multisensors. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing. 14. 3120–3132. 73 indexed citations
15.
Yang, Hui, et al.. (2021). Multi-Feature Enhanced Building Change Detection Based on Semantic Information Guidance. Remote Sensing. 13(20). 4171–4171. 16 indexed citations
16.
Ma, Xiaoshuang, et al.. (2021). Multiple Classifiers Based Semi-Supervised Polarimetric SAR Image Classification Method. Sensors. 21(9). 3006–3006. 4 indexed citations
17.
Wu, Penghai, et al.. (2019). Detection and prediction of land use/land cover change using spatiotemporal data fusion and the Cellular Automata–Markov model. Environmental Monitoring and Assessment. 191(2). 68–68. 100 indexed citations
18.
Yang, Hui, et al.. (2018). Building Extraction in Very High Resolution Imagery by Dense-Attention Networks. Remote Sensing. 10(11). 1768–1768. 93 indexed citations
19.
Wu, Penghai, et al.. (2016). Spatiotemporal analysis of water area annual variations using a Landsat time series: a case study of nine plateau lakes in Yunnan province, China. International Journal of Remote Sensing. 37(24). 5826–5842. 20 indexed citations
20.
Wu, Penghai, Huanfeng Shen, Tinghua Ai, & Yaolin Liu. (2013). Land-surface temperature retrieval at high spatial and temporal resolutions based on multi-sensor fusion. International Journal of Digital Earth. 6(sup1). 113–133. 56 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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