Hao Cui

753 total citations · 1 hit paper
26 papers, 451 citations indexed

About

Hao Cui is a scholar working on Media Technology, Computer Vision and Pattern Recognition and Electrical and Electronic Engineering. According to data from OpenAlex, Hao Cui has authored 26 papers receiving a total of 451 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Media Technology, 9 papers in Computer Vision and Pattern Recognition and 6 papers in Electrical and Electronic Engineering. Recurrent topics in Hao Cui's work include Remote-Sensing Image Classification (10 papers), Advanced Image Fusion Techniques (5 papers) and Remote Sensing in Agriculture (5 papers). Hao Cui is often cited by papers focused on Remote-Sensing Image Classification (10 papers), Advanced Image Fusion Techniques (5 papers) and Remote Sensing in Agriculture (5 papers). Hao Cui collaborates with scholars based in China, United States and United Kingdom. Hao Cui's co-authors include Guo Zhang, Yujia Chen, Shasha Hou, Xue Li, Xin Li, Zhijiang Li, Li Zhang, Shunyao Wang, Huabin Wang and Zhenwei Chen and has published in prestigious journals such as SHILAP Revista de lepidopterología, IEEE Transactions on Power Electronics and IEEE Transactions on Geoscience and Remote Sensing.

In The Last Decade

Hao Cui

22 papers receiving 445 citations

Hit Papers

MCANet: A joint semantic segmentation framework of optica... 2021 2026 2022 2024 2021 50 100 150

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Hao Cui China 11 229 177 99 92 80 26 451
Hong Tang China 13 149 0.7× 119 0.7× 49 0.5× 87 0.9× 118 1.5× 44 402
Nan Ge China 10 173 0.8× 103 0.6× 176 1.8× 163 1.8× 100 1.3× 27 520
Xianping Ma China 10 315 1.4× 264 1.5× 38 0.4× 98 1.1× 61 0.8× 28 551
Haiqing He China 12 77 0.3× 124 0.7× 127 1.3× 51 0.6× 91 1.1× 40 359
Paul Kuiper Netherlands 2 98 0.4× 77 0.4× 106 1.1× 111 1.2× 108 1.4× 5 437
Quanhua Zhao China 10 138 0.6× 115 0.6× 45 0.5× 66 0.7× 41 0.5× 43 343
Lingjia Gu China 14 165 0.7× 92 0.5× 42 0.4× 212 2.3× 130 1.6× 83 575
Fengkai Lang China 9 234 1.0× 114 0.6× 283 2.9× 89 1.0× 76 0.9× 24 459
Ting Bai China 9 214 0.9× 74 0.4× 80 0.8× 122 1.3× 70 0.9× 21 454
Aliaksei Makarau Germany 9 257 1.1× 175 1.0× 63 0.6× 59 0.6× 52 0.7× 30 434

Countries citing papers authored by Hao Cui

Since Specialization
Citations

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

Fields of papers citing papers by Hao Cui

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Hao Cui

This figure shows the co-authorship network connecting the top 25 collaborators of Hao Cui. A scholar is included among the top collaborators of Hao Cui 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 Hao Cui. Hao Cui 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.
Chen, Yujia, et al.. (2025). Superpixel-aware credible dual-expert learning for land cover mapping using historical land cover product. ISPRS Journal of Photogrammetry and Remote Sensing. 223. 296–316.
2.
Xiong, Xiaoping, et al.. (2025). Sustainable Energy Systems Through Fair Carbon Pricing: A Shapley Value-Based Optimization Framework. Sustainability. 17(22). 10095–10095.
3.
Xu, Zhibang, Gang Xu, Xi Li, et al.. (2025). Global consistency of urban scaling evidenced by remote sensing. PNAS Nexus. 4(2). pgaf037–pgaf037. 6 indexed citations
4.
Liu, Le, et al.. (2024). Load-carrying capacity of hole threads in TOBs bolted curved T-stubs to circular steel tube connections. Engineering Structures. 315. 118486–118486. 3 indexed citations
5.
Shen, Hong, et al.. (2024). Nonintrusive Evaluation of Current Distribution Bias in Press Pack Devices With High-Accuracy Segmented Rogowski Coils. IEEE Transactions on Power Electronics. 40(4). 6044–6054.
6.
Chen, Yujia, Guo Zhang, Hao Cui, et al.. (2023). A novel weakly supervised semantic segmentation framework to improve the resolution of land cover product. ISPRS Journal of Photogrammetry and Remote Sensing. 196. 73–92. 38 indexed citations
7.
Cui, Hao, Guo Zhang, Yujia Chen, et al.. (2023). Knowledge evolution learning: A cost-free weakly supervised semantic segmentation framework for high-resolution land cover classification. ISPRS Journal of Photogrammetry and Remote Sensing. 207. 74–91. 10 indexed citations
8.
Xu, Miaozhong, et al.. (2022). Translution-SNet: A Semisupervised Hyperspectral Image Stripe Noise Removal Based on Transformer and CNN. IEEE Transactions on Geoscience and Remote Sensing. 60. 1–14. 33 indexed citations
9.
Zhang, Guo, et al.. (2022). Extraction of high-accuracy control points using ICESat-2 ATL03 in urban areas. International Journal of Applied Earth Observation and Geoinformation. 115. 103116–103116. 20 indexed citations
11.
Li, Xue, Guo Zhang, Hao Cui, et al.. (2022). Progressive fusion learning: A multimodal joint segmentation framework for building extraction from optical and SAR images. ISPRS Journal of Photogrammetry and Remote Sensing. 195. 178–191. 40 indexed citations
12.
Wang, Taoyang, Xin Li, Guo Zhang, et al.. (2022). Large-Scale Orthorectification of GF-3 SAR Images Without Ground Control Points for China’s Land Area. IEEE Transactions on Geoscience and Remote Sensing. 60. 1–17. 24 indexed citations
14.
Zhang, Guo, et al.. (2021). A Self-Adaptive Denoising Algorithm Based on Genetic Algorithm for Photon-Counting Lidar Data. IEEE Geoscience and Remote Sensing Letters. 19. 1–5. 18 indexed citations
15.
Li, Xue, Guo Zhang, Hao Cui, et al.. (2021). MCANet: A joint semantic segmentation framework of optical and SAR images for land use classification. International Journal of Applied Earth Observation and Geoinformation. 106. 102638–102638. 161 indexed citations breakdown →
16.
Cui, Hao, Guo Zhang, Taoyang Wang, Xin Li, & Ji Qi. (2020). Combined Model Color-Correction Method Utilizing External Low-Frequency Reference Signals for Large-Scale Optical Satellite Image Mosaics. IEEE Transactions on Geoscience and Remote Sensing. 59(6). 4993–5007. 12 indexed citations
17.
Zhang, Guo, Hao Cui, Taoyang Wang, et al.. (2019). Random cross-observation intensity consistency method for large-scale SAR images mosaics: An example of Gaofen-3 SAR images covering China. ISPRS Journal of Photogrammetry and Remote Sensing. 156. 215–234. 11 indexed citations
18.
Cui, Hao, et al.. (2017). Large Collection Satellite Images Color Normalization Algorithm Based on Tone Reference Map. SHILAP Revista de lepidopterología. 5 indexed citations
19.
Cui, Hao. (2007). Temperature Field Calculation of Turbo-shaft Engine's Inlet Guide Vane Under Anti-icing Condition. Energy Technology. 1 indexed citations
20.
Wu, Lifang, et al.. (2006). An Algorithm of Shot Classification in Basketball Video. 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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