Jingan Wu

566 total citations
25 papers, 413 citations indexed

About

Jingan Wu is a scholar working on Atmospheric Science, Environmental Engineering and Ecology. According to data from OpenAlex, Jingan Wu has authored 25 papers receiving a total of 413 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Atmospheric Science, 12 papers in Environmental Engineering and 8 papers in Ecology. Recurrent topics in Jingan Wu's work include Advanced Image Fusion Techniques (8 papers), Remote Sensing in Agriculture (8 papers) and Air Quality Monitoring and Forecasting (6 papers). Jingan Wu is often cited by papers focused on Advanced Image Fusion Techniques (8 papers), Remote Sensing in Agriculture (8 papers) and Air Quality Monitoring and Forecasting (6 papers). Jingan Wu collaborates with scholars based in China and Rwanda. Jingan Wu's co-authors include Tongwen Li, Huanfeng Shen, Qing Cheng, Penghai Wu, Liupeng Lin, C.‐I. Meng, Meiling Gao, Yaolin Liu, Zihao Wu and Jiamin Liu and has published in prestigious journals such as SHILAP Revista de lepidopterología, The Science of The Total Environment and Remote Sensing of Environment.

In The Last Decade

Jingan Wu

24 papers receiving 407 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Jingan Wu China 11 203 158 142 103 98 25 413
Yugang Tian China 12 97 0.5× 121 0.8× 168 1.2× 93 0.9× 106 1.1× 37 406
D. Amarsaikhan Mongolia 9 117 0.6× 143 0.9× 108 0.8× 198 1.9× 213 2.2× 29 471
Stavros Stagakis Greece 10 294 1.4× 94 0.6× 255 1.8× 323 3.1× 64 0.7× 30 589
Michael Karteris Greece 9 201 1.0× 78 0.5× 243 1.7× 284 2.8× 151 1.5× 9 519
Shufang Tian China 11 96 0.5× 100 0.6× 151 1.1× 117 1.1× 181 1.8× 33 458
Bingyu Zhao China 10 83 0.4× 82 0.5× 162 1.1× 92 0.9× 93 0.9× 19 347
Wenfu Wu China 9 86 0.4× 67 0.4× 115 0.8× 90 0.9× 95 1.0× 20 322
Jinnian Wang China 9 89 0.4× 102 0.6× 177 1.2× 110 1.1× 101 1.0× 48 416
Yanli Chu China 11 56 0.3× 131 0.8× 218 1.5× 116 1.1× 54 0.6× 40 423
Hayder Dibs Iraq 11 108 0.5× 70 0.4× 124 0.9× 111 1.1× 113 1.2× 25 374

Countries citing papers authored by Jingan Wu

Since Specialization
Citations

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

Fields of papers citing papers by Jingan Wu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jingan Wu

This figure shows the co-authorship network connecting the top 25 collaborators of Jingan Wu. A scholar is included among the top collaborators of Jingan 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 Jingan Wu. Jingan 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, Tongwen, Jingan Wu, Yuan Wang, & Yanfei Su. (2025). Improved seamless mapping of surface O3 concentrations using an integrated deep learning framework. npj Climate and Atmospheric Science. 8(1). 1 indexed citations
2.
Wu, Jingan, Tongwen Li, Liupeng Lin, & Chao Zeng. (2024). Progressive gap-filling in optical remote sensing imagery through a cascade of temporal and spatial reconstruction models. Remote Sensing of Environment. 311. 114245–114245. 3 indexed citations
3.
Cheng, Qing, et al.. (2024). Deep Learning-Based Spatiotemporal Fusion Architecture of Landsat 8 and Sentinel-2 Data for 10 m Series Imagery. Remote Sensing. 16(6). 1033–1033. 7 indexed citations
4.
Wu, Jingan, et al.. (2024). A Two-Step Framework for Generating 0.01°, Hourly, and Gapless Land Surface Temperature. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing. 18. 1607–1625. 1 indexed citations
5.
Shen, Yao, Jingan Wu, & Liupeng Lin. (2024). The Diurnal Variation and Development Status of Ecoenvironmental Quality in Hainan, China. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing. 17. 9110–9121.
6.
Li, Tongwen, Yuan Wang, & Jingan Wu. (2024). Deriving PM2.5 from satellite observations with spatiotemporally weighted tree-based algorithms: enhancing modeling accuracy and interpretability. npj Climate and Atmospheric Science. 7(1). 4 indexed citations
7.
Yi, Peng, et al.. (2023). Thin cloud correction method for visible remote sensing images using a spectral transformation scheme. GIScience & Remote Sensing. 60(1). 4 indexed citations
8.
Li, Tongwen, et al.. (2023). Inter-comparison and evaluation of global satellite XCO 2 products. Geo-spatial Information Science. 28(1). 131–144. 9 indexed citations
9.
Lin, Liupeng, et al.. (2023). CAFE: A Cross-Attention Based Adaptive Weighting Fusion Network for MODIS and Landsat Spatiotemporal Fusion. IEEE Geoscience and Remote Sensing Letters. 20. 1–5. 13 indexed citations
10.
Li, Tongwen, Jingan Wu, & Tianxing Wang. (2023). Generating daily high-resolution and full-coverage XCO2 across China from 2015 to 2020 based on OCO-2 and CAMS data. The Science of The Total Environment. 893. 164921–164921. 20 indexed citations
11.
Li, Tongwen, et al.. (2023). Global estimates of gap-free and fine-scale CO2 concentrations during 2014–2020 from satellite and reanalysis data. Environment International. 178. 108057–108057. 11 indexed citations
12.
Wu, Jingan, et al.. (2023). Generating Sentinel-2 all-band 10-m data by sharpening 20/60-m bands: A hierarchical fusion network. ISPRS Journal of Photogrammetry and Remote Sensing. 196. 16–31. 7 indexed citations
13.
Li, Tongwen, Jingan Wu, Jiajia Chen, & Huanfeng Shen. (2022). An Enhanced Geographically and Temporally Weighted Neural Network for Remote Sensing Estimation of Surface Ozone. IEEE Transactions on Geoscience and Remote Sensing. 60. 1–13. 10 indexed citations
14.
Li, Xinghua, et al.. (2022). A Novel Method for Long Time Series Passive Microwave Soil Moisture Downscaling over Central Tibet Plateau. Remote Sensing. 14(12). 2902–2902. 4 indexed citations
15.
Li, Tongwen, Qianqian Yang, Yuan Wang, & Jingan Wu. (2022). Joint estimation of PM2.5 and O3 over China using a knowledge-informed neural network. Geoscience Frontiers. 14(2). 101499–101499. 25 indexed citations
16.
Wu, Jingan, et al.. (2021). Hourly PM2.5 Concentration Monitoring With Spatiotemporal Continuity by the Fusion of Satellite and Station Observations. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing. 14. 8019–8032. 9 indexed citations
17.
Wu, Jingan, Qing Cheng, Huifang Li, et al.. (2020). Spatiotemporal Fusion With Only Two Remote Sensing Images as Input. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing. 13. 6206–6219. 16 indexed citations
18.
Wu, Zihao, et al.. (2020). Mapping farmland soil organic carbon density in plains with combined cropping system extracted from NDVI time-series data. The Science of The Total Environment. 754. 142120–142120. 58 indexed citations
19.
Shen, Huanfeng, et al.. (2019). A Spatiotemporal Fusion Based Cloud Removal Method for Remote Sensing Images With Land Cover Changes. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing. 12(3). 862–874. 58 indexed citations
20.
Sanii, Babak, et al.. (2000). Preliminary Results of an Upgraded Atmospheric Visibility Monitoring Station. 142. 1–12. 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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