Menghui Jiang

458 total citations
21 papers, 343 citations indexed

About

Menghui Jiang is a scholar working on Media Technology, Computer Vision and Pattern Recognition and Environmental Engineering. According to data from OpenAlex, Menghui Jiang has authored 21 papers receiving a total of 343 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Media Technology, 10 papers in Computer Vision and Pattern Recognition and 5 papers in Environmental Engineering. Recurrent topics in Menghui Jiang's work include Advanced Image Fusion Techniques (15 papers), Remote-Sensing Image Classification (12 papers) and Image and Signal Denoising Methods (6 papers). Menghui Jiang is often cited by papers focused on Advanced Image Fusion Techniques (15 papers), Remote-Sensing Image Classification (12 papers) and Image and Signal Denoising Methods (6 papers). Menghui Jiang collaborates with scholars based in China, Rwanda and Italy. Menghui Jiang's co-authors include Jie Li, Huanfeng Shen, Qiangqiang Yuan, Liangpei Zhang, Yancong Wei, Jianhao Gao, Xinghua Li, Huifang Li, Wei Li and Mengmeng Zhang and has published in prestigious journals such as Remote Sensing of Environment, IEEE Transactions on Geoscience and Remote Sensing and Remote Sensing.

In The Last Decade

Menghui Jiang

20 papers receiving 327 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Menghui Jiang China 10 256 169 50 47 36 21 343
Peijuan Wang Türkiye 5 152 0.6× 165 1.0× 26 0.5× 29 0.6× 32 0.9× 7 269
Krista Amolins Canada 4 351 1.4× 214 1.3× 25 0.5× 25 0.5× 29 0.8× 6 417
Francesco Butera Italy 6 257 1.0× 161 1.0× 16 0.3× 25 0.5× 34 0.9× 9 301
Ahmad Toosi Iran 7 141 0.6× 75 0.4× 55 1.1× 31 0.7× 59 1.6× 15 252
William S. Hungate United States 3 235 0.9× 130 0.8× 22 0.4× 95 2.0× 47 1.3× 3 366
Tianyi Jia China 5 239 0.9× 81 0.5× 38 0.8× 135 2.9× 76 2.1× 7 345
Wolfgang Middelmann Germany 8 176 0.7× 125 0.7× 54 1.1× 45 1.0× 48 1.3× 70 309
Jie Xie China 6 241 0.9× 161 1.0× 17 0.3× 129 2.7× 26 0.7× 19 341
Ayesha Shafique China 5 210 0.8× 80 0.5× 25 0.5× 112 2.4× 77 2.1× 11 320
Mustafa Teke Türkiye 8 160 0.6× 103 0.6× 18 0.4× 70 1.5× 57 1.6× 30 306

Countries citing papers authored by Menghui Jiang

Since Specialization
Citations

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

Fields of papers citing papers by Menghui Jiang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Menghui Jiang

This figure shows the co-authorship network connecting the top 25 collaborators of Menghui Jiang. A scholar is included among the top collaborators of Menghui Jiang 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 Menghui Jiang. Menghui Jiang 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.
Jiang, Menghui, et al.. (2025). Seamless global daily soil moisture mapping using deep learning based spatiotemporal fusion. International Journal of Applied Earth Observation and Geoinformation. 139. 104517–104517.
2.
Jing, Yinghong, Yao Li, Xinghua Li, et al.. (2024). An Integrated Learning Framework for Seamless High-Resolution Soil Moisture Estimation. IEEE Transactions on Geoscience and Remote Sensing. 62. 1–17. 3 indexed citations
3.
Jiang, Menghui, et al.. (2024). Efficient and Effective NDVI Time-Series Reconstruction by Combining Deep Learning and Tensor Completion. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing. 18. 191–205. 2 indexed citations
4.
Vivone, Gemine, Liang-Jian Deng, Danfeng Hong, et al.. (2024). Deep Learning in Remote Sensing Image Fusion: Methods, protocols, data, and future perspectives. IEEE Geoscience and Remote Sensing Magazine. 13(1). 269–310. 23 indexed citations
5.
Jiang, Menghui, et al.. (2024). Generalized spatio-temporal-spectral integrated fusion for soil moisture downscaling. ISPRS Journal of Photogrammetry and Remote Sensing. 218. 70–86. 6 indexed citations
6.
Shen, Huanfeng, et al.. (2024). Unsupervised Pan-Sharpening Network Incorporating Imaging Spectral Prior and Spatial-Spectral Compensation. IEEE Transactions on Geoscience and Remote Sensing. 62. 1–16. 4 indexed citations
7.
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
8.
Li, Jie, et al.. (2023). Supervised and self-supervised learning-based cascade spatiotemporal fusion framework and its application. ISPRS Journal of Photogrammetry and Remote Sensing. 203. 19–36. 8 indexed citations
9.
Gao, Jianhao, Jie Li, Xin Su, Menghui Jiang, & Qiangqiang Yuan. (2022). Deep Image Interpolation: A Unified Unsupervised Framework for Pansharpening. 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW). 608–617. 7 indexed citations
10.
Jiang, Menghui, Huanfeng Shen, & Jie Li. (2022). Deep-Learning-Based Spatio-Temporal-Spectral Integrated Fusion of Heterogeneous Remote Sensing Images. IEEE Transactions on Geoscience and Remote Sensing. 60. 1–15. 19 indexed citations
11.
Jiang, Menghui, Huanfeng Shen, & Jie Li. (2022). Cycle GAN Based Heterogeneous Spatial-Spectral Fusion for Soil Moisture Downscaling. IGARSS 2022 - 2022 IEEE International Geoscience and Remote Sensing Symposium. 4819–4822. 3 indexed citations
12.
Gao, Jianhao, Jie Li, & Menghui Jiang. (2021). Hyperspectral and Multispectral Image Fusion by Deep Neural Network in a Self-Supervised Manner. Remote Sensing. 13(16). 3226–3226. 11 indexed citations
13.
Li, Jie, et al.. (2021). Self-Supervised Pansharpening Based on a Cycle-Consistent Generative Adversarial Network. IEEE Geoscience and Remote Sensing Letters. 19. 1–5. 18 indexed citations
14.
Li, Jie, Huanfeng Shen, Huifang Li, Menghui Jiang, & Qiangqiang Yuan. (2021). Radiometric quality improvement of hyperspectral remote sensing images: a technical tutorial on variational framework. Journal of Applied Remote Sensing. 15(3). 7 indexed citations
15.
Jiang, Menghui, Jie Li, & Huanfeng Shen. (2021). A Deep Learning-Based Heterogeneous Spatio-Temporal-Spectral Fusion: SAR and Optical Images. 1252–1255. 5 indexed citations
16.
Li, Jie, et al.. (2021). Physics-Based GAN With Iterative Refinement Unit for Hyperspectral and Multispectral Image Fusion. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing. 14. 6827–6841. 27 indexed citations
17.
Jiang, Menghui, Huanfeng Shen, Jie Li, Qiangqiang Yuan, & Liangpei Zhang. (2020). A differential information residual convolutional neural network for pansharpening. ISPRS Journal of Photogrammetry and Remote Sensing. 163. 257–271. 52 indexed citations
18.
Jiang, Menghui, Jie Li, Qiangqiang Yuan, et al.. (2019). Differential Information Residual Convolutional Neural Network for Pansharpening. 8. 4865–4868. 3 indexed citations
19.
Shen, Huanfeng, Menghui Jiang, Jie Li, et al.. (2019). Spatial–Spectral Fusion by Combining Deep Learning and Variational Model. IEEE Transactions on Geoscience and Remote Sensing. 57(8). 6169–6181. 71 indexed citations
20.
Li, Xinghua, Zhiwei Li, Ruitao Feng, et al.. (2019). Generating High-Quality and High-Resolution Seamless Satellite Imagery for Large-Scale Urban Regions. Remote Sensing. 12(1). 81–81. 17 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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