Pingjie Fu

657 total citations
29 papers, 482 citations indexed

About

Pingjie Fu is a scholar working on Media Technology, Global and Planetary Change and Ecology. According to data from OpenAlex, Pingjie Fu has authored 29 papers receiving a total of 482 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Media Technology, 11 papers in Global and Planetary Change and 9 papers in Ecology. Recurrent topics in Pingjie Fu's work include Remote-Sensing Image Classification (10 papers), Land Use and Ecosystem Services (8 papers) and Remote Sensing in Agriculture (6 papers). Pingjie Fu is often cited by papers focused on Remote-Sensing Image Classification (10 papers), Land Use and Ecosystem Services (8 papers) and Remote Sensing in Agriculture (6 papers). Pingjie Fu collaborates with scholars based in China, Australia and Japan. Pingjie Fu's co-authors include Fei Meng, Xinyue Yang, Yaohui Liu, Yuxuan Zhang, Peijun Du, Yuqiang Wang, Hongrui Zheng, Yu Yan Cui, Wei Zhang and Keming Yang and has published in prestigious journals such as The Science of The Total Environment, Scientific Reports and IEEE Transactions on Geoscience and Remote Sensing.

In The Last Decade

Pingjie Fu

22 papers receiving 469 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Pingjie Fu China 13 264 189 117 110 81 29 482
Stefan Adriaensen Belgium 11 279 1.1× 291 1.5× 175 1.5× 164 1.5× 110 1.4× 23 702
Cankut Örmeci Türkiye 11 239 0.9× 149 0.8× 167 1.4× 154 1.4× 55 0.7× 21 431
Yuchun Wei China 13 173 0.7× 181 1.0× 92 0.8× 64 0.6× 95 1.2× 44 464
Zhengwei He China 13 234 0.9× 123 0.7× 74 0.6× 88 0.8× 37 0.5× 84 502
Yonghua Sun China 10 168 0.6× 140 0.7× 101 0.9× 94 0.9× 40 0.5× 38 366
Jinming Sha China 10 170 0.6× 87 0.5× 68 0.6× 39 0.4× 18 0.2× 27 453
Xinyang Yu China 12 198 0.8× 120 0.6× 126 1.1× 63 0.6× 16 0.2× 39 420
Brock Murch United States 11 254 1.0× 121 0.6× 62 0.5× 62 0.6× 47 0.6× 12 526
Huỳnh Vương Thu Minh Vietnam 15 265 1.0× 124 0.7× 175 1.5× 52 0.5× 27 0.3× 42 643

Countries citing papers authored by Pingjie Fu

Since Specialization
Citations

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

Fields of papers citing papers by Pingjie Fu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Pingjie Fu

This figure shows the co-authorship network connecting the top 25 collaborators of Pingjie Fu. A scholar is included among the top collaborators of Pingjie 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 Pingjie Fu. Pingjie 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.
2.
Fu, Pingjie, et al.. (2025). A novel lead index for diagnosing the sensitive range of maize leaves. Remote Sensing Letters. 16(6). 584–595.
3.
Fu, Pingjie, et al.. (2024). Estimating the Heavy Metal Contents in Entisols from a Mining Area Based on Improved Spectral Indices and Catboost. Sensors. 24(5). 1492–1492. 12 indexed citations
4.
5.
Ma, Mingliang, Mengjiao Liu, Fei Meng, et al.. (2024). Quantitative Estimation of the Impacts of Precursor Emissions on Surface O3 and PM2.5 Collaborative Pollution in Three Typical Regions of China via Multi-Task Learning. Sustainability. 16(6). 2475–2475. 1 indexed citations
6.
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Li, Yi, et al.. (2024). Quantitative Analysis of Spatiotemporal Patterns and Factor Contributions of Surface Ozone in the North China Plain. Applied Sciences. 14(12). 5026–5026. 1 indexed citations
8.
Wang, Jiayun, Fei Meng, Pingjie Fu, & Fengxiang Jin. (2023). Investigating the Coupling of Supply and Demand for Urban Blue and Green Spaces’ Cooling Effects in Shandong, China. Atmosphere. 14(2). 404–404. 4 indexed citations
9.
Zhang, Wei, et al.. (2023). Enhanced remote sensing ecological index and ecological environment evaluation in arid area. National Remote Sensing Bulletin. 27(2). 299–317. 31 indexed citations
10.
Jiang, Junyi, et al.. (2023). Spatial and Temporal Changes of Typical Vegetation in the Yellow River Delta Based on Zhuhai-1 Hyperspectral Data. Applied Sciences. 13(23). 12614–12614. 4 indexed citations
11.
12.
Fu, Pingjie, Yuxuan Zhang, Fei Meng, Wei Zhang, & Banghua Zhang. (2022). HGF Spatial–Spectral Fusion Method for Hyperspectral Images. Applied Sciences. 13(1). 34–34. 1 indexed citations
13.
Fu, Pingjie, et al.. (2022). Estimation algorithm for chlorophyll-a concentrations in water from hyperspectral images based on feature derivation and ensemble learning. Ecological Informatics. 71. 101783–101783. 31 indexed citations
14.
Zhang, Wei, Peijun Du, Pingjie Fu, et al.. (2021). Attention-Aware Dynamic Self-Aggregation Network for Satellite Image Time Series Classification. IEEE Transactions on Geoscience and Remote Sensing. 60. 1–17. 21 indexed citations
15.
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Yang, Xinyue, Fei Meng, Pingjie Fu, Yuxuan Zhang, & Yaohui Liu. (2021). Spatiotemporal change and driving factors of the Eco-Environment quality in the Yangtze River Basin from 2001 to 2019. Ecological Indicators. 131. 108214–108214. 147 indexed citations
17.
Cui, Yu Yan, et al.. (2021). Application of hyperspectral analysis of chlorophyll a concentration inversion in Nansi Lake. Ecological Informatics. 64. 101360–101360. 25 indexed citations
18.
Fu, Pingjie, et al.. (2021). Using the Hilbert–Huang spectrum transformation to estimate soil lead concentration. Remote Sensing Letters. 12(8). 768–777. 2 indexed citations
19.
Zhang, Wei, Peijun Du, Cong Lin, et al.. (2020). An Improved Feature Set for Hyperspectral Image Classification: Harmonic Analysis Optimized by Multiscale Guided Filter. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing. 13. 3903–3916. 16 indexed citations
20.
Fu, Pingjie, Wei Zhang, Keming Yang, & Fei Meng. (2020). A novel spectral analysis method for distinguishing heavy metal stress of maize due to copper and lead: RDA and EMD-PSD. Ecotoxicology and Environmental Safety. 206. 111211–111211. 25 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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