Chuli Hu

1.5k total citations · 1 hit paper
53 papers, 1.1k citations indexed

About

Chuli Hu is a scholar working on Artificial Intelligence, Geography, Planning and Development and Signal Processing. According to data from OpenAlex, Chuli Hu has authored 53 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Artificial Intelligence, 15 papers in Geography, Planning and Development and 12 papers in Signal Processing. Recurrent topics in Chuli Hu's work include Geographic Information Systems Studies (15 papers), Data Management and Algorithms (12 papers) and Advanced Computational Techniques and Applications (10 papers). Chuli Hu is often cited by papers focused on Geographic Information Systems Studies (15 papers), Data Management and Algorithms (12 papers) and Advanced Computational Techniques and Applications (10 papers). Chuli Hu collaborates with scholars based in China, United States and Belgium. Chuli Hu's co-authors include Nengcheng Chen, Zeqiang Chen, Lei Xu, Jianya Gong, Changjiang Xiao, Xiang Zhang, Ke Wang, Hamid Moradkhani, Ke Wang and Chong Zhang and has published in prestigious journals such as Remote Sensing of Environment, Water Resources Research and Journal of Hydrology.

In The Last Decade

Chuli Hu

52 papers receiving 1.1k citations

Hit Papers

Short and mid-term sea surface temperature prediction usi... 2019 2026 2021 2023 2019 50 100 150 200

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Chuli Hu China 15 398 377 353 231 140 53 1.1k
Changjiang Xiao China 14 278 0.7× 321 0.9× 168 0.5× 228 1.0× 78 0.6× 45 836
Jia Song China 20 320 0.8× 123 0.3× 186 0.5× 49 0.2× 147 1.1× 87 1.1k
Lingkui Meng China 17 293 0.7× 465 1.2× 321 0.9× 39 0.2× 60 0.4× 88 1.0k
Mohammad Javad Valadan Zoej Iran 23 255 0.6× 833 2.2× 377 1.1× 55 0.2× 133 0.9× 152 2.2k
Chengming Li China 18 243 0.6× 186 0.5× 104 0.3× 64 0.3× 123 0.9× 96 1.0k
Guonian Lv China 16 177 0.4× 183 0.5× 90 0.3× 82 0.4× 66 0.5× 78 773
Linwang Yuan China 20 266 0.7× 206 0.5× 176 0.5× 47 0.2× 175 1.3× 94 1.5k
Jining Yan China 21 321 0.8× 219 0.6× 255 0.7× 52 0.2× 284 2.0× 75 1.5k
Dan Cornford United Kingdom 15 160 0.4× 231 0.6× 154 0.4× 51 0.2× 193 1.4× 61 808
Xiuwan Chen China 18 326 0.8× 380 1.0× 310 0.9× 124 0.5× 118 0.8× 94 1.2k

Countries citing papers authored by Chuli Hu

Since Specialization
Citations

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

Fields of papers citing papers by Chuli Hu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Chuli Hu

This figure shows the co-authorship network connecting the top 25 collaborators of Chuli Hu. A scholar is included among the top collaborators of Chuli Hu 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 Chuli Hu. Chuli Hu 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.
Zhang, Yunbo, Wenjie Chen, Bo‐Huei Huang, et al.. (2024). An event logic graph for geographic environment observation planning in disaster chain monitoring. International Journal of Applied Earth Observation and Geoinformation. 134. 104220–104220. 2 indexed citations
2.
3.
Liang, Ying, et al.. (2024). Collaborative sensing optimization layout model of heterogeneous sensors under urban flooding environment. Journal of Hydrology. 650. 132528–132528.
4.
Li, Jie, et al.. (2024). The biophysical effects of phenological shifts impact land surface temperature for corn expansion in Northeastern China. Agricultural and Forest Meteorology. 362. 110373–110373. 1 indexed citations
5.
Pan, Keyu, et al.. (2024). AAGNet: Attribute-Aware Graph-Based Network for Occluded Pedestrian Re-Identification. IEEE Transactions on Consumer Electronics. 70(4). 6580–6588. 2 indexed citations
6.
Shen, Yonglin, Guoling Shen, Jie Wang, et al.. (2023). STEPSBI: Quick spatiotemporal fusion with coarse- and fine-resolution scale transformation errors and pixel-based synthesis base image pair. ISPRS Journal of Photogrammetry and Remote Sensing. 206. 1–15. 8 indexed citations
7.
Hu, Chuli, et al.. (2023). An Earth Observation Task Representation Model Supporting Dynamic Demand for Flood Disaster Monitoring and Management. Remote Sensing. 15(8). 2193–2193. 2 indexed citations
9.
Shen, Yonglin, Changmin Jiang, Ka Lok Chan, Chuli Hu, & Ling Yao. (2021). Estimation of Field-Level NOx Emissions from Crop Residue Burning Using Remote Sensing Data: A Case Study in Hubei, China. Remote Sensing. 13(3). 404–404. 16 indexed citations
10.
Qi, Kunlun, Chao Yang, Chuli Hu, Yonglin Shen, & Huayi Wu. (2021). Deep Object-Centric Pooling in Convolutional Neural Network for Remote Sensing Scene Classification. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing. 14. 7857–7868. 6 indexed citations
11.
Xu, Lei, Nengcheng Chen, Hamid Moradkhani, Xiang Zhang, & Chuli Hu. (2020). Improving Global Monthly and Daily Precipitation Estimation by Fusing Gauge Observations, Remote Sensing, and Reanalysis Data Sets. Water Resources Research. 56(3). 98 indexed citations
12.
Wang, Siqi, Xiang Zhang, Nengcheng Chen, et al.. (2020). A Risk Assessment Framework of Cyanobacteria Bloom Using Landsat Data: A Case Study of Lake Longgan (China). 6642–6645. 1 indexed citations
13.
14.
Hu, Chuli, et al.. (2014). An Observation Capability Metadata Model for EO Sensor Discovery in Sensor Web Enablement Environments. Remote Sensing. 6(11). 10546–10570. 18 indexed citations
15.
Hu, Chuli, Jia Li, Nengcheng Chen, & Qingfeng Guan. (2014). An Object Model for Integrating Diverse Remote Sensing Satellite Sensors: A Case Study of Union Operation. Remote Sensing. 6(1). 677–699. 6 indexed citations
16.
Chen, Nengcheng & Chuli Hu. (2012). A Sharable and Interoperable Meta-Model for Atmospheric Satellite Sensors and Observations. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing. 5(5). 1519–1530. 25 indexed citations
17.
Hu, Chuli, Nengcheng Chen, & Chao Wang. (2011). Remote sensing satellite sensor information retrieval and visualization based on SensorML. 440. 3425–3428. 6 indexed citations
18.
Wang, Chao, et al.. (2011). A general Sensor Web Resource Ontology for atmospheric observation. 3. 3436–3439. 6 indexed citations
19.
Hu, Chuli. (2010). A Remotey Sensing Satellite Sensor Modeling Approach Based on SensorML. Wuhan Daxue xuebao. Xinxi kexue ban. 1 indexed citations
20.
Chen, Jiaying, Nengcheng Chen, Wei Wang, Chuli Hu, & Zhong Zheng. (2009). Remote satellite sensor modeling design and implementation based on the sensor modeling language. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 7492. 74922V–74922V. 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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