Ge Chen

5.4k total citations · 1 hit paper
287 papers, 3.9k citations indexed

About

Ge Chen is a scholar working on Oceanography, Global and Planetary Change and Atmospheric Science. According to data from OpenAlex, Ge Chen has authored 287 papers receiving a total of 3.9k indexed citations (citations by other indexed papers that have themselves been cited), including 166 papers in Oceanography, 80 papers in Global and Planetary Change and 70 papers in Atmospheric Science. Recurrent topics in Ge Chen's work include Oceanographic and Atmospheric Processes (136 papers), Ocean Waves and Remote Sensing (89 papers) and Climate variability and models (54 papers). Ge Chen is often cited by papers focused on Oceanographic and Atmospheric Processes (136 papers), Ocean Waves and Remote Sensing (89 papers) and Climate variability and models (54 papers). Ge Chen collaborates with scholars based in China, United Kingdom and United States. Ge Chen's co-authors include Baoxiang Huang, Fenglin Tian, Chunyong Ma, Fangjie Yu, Yong Han, Chengcheng Qian, Haoyu Jiang, Zhenyao Wang, Dingguo Xia and Benjamin C. K. Tee and has published in prestigious journals such as Nature Communications, Nature Materials and SHILAP Revista de lepidopterología.

In The Last Decade

Ge Chen

261 papers receiving 3.8k citations

Hit Papers

A transparent, self-healing and high-κ dielectric for low... 2019 2026 2021 2023 2019 50 100 150 200 250

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Ge Chen China 31 1.7k 842 817 459 311 287 3.9k
Gang Zheng China 46 963 0.6× 378 0.4× 703 0.9× 256 0.6× 235 0.8× 395 7.2k
Xiang Zhang China 43 281 0.2× 2.3k 2.7× 1.2k 1.5× 543 1.2× 366 1.2× 241 5.8k
Feng Xu China 38 922 0.6× 294 0.3× 596 0.7× 904 2.0× 1.5k 4.9× 372 7.8k
Song Li China 30 202 0.1× 408 0.5× 244 0.3× 309 0.7× 445 1.4× 310 3.2k
Hong Zhang China 40 552 0.3× 1.3k 1.5× 1.9k 2.3× 200 0.4× 1.2k 3.8× 474 8.0k
Feng Zhang China 35 163 0.1× 593 0.7× 389 0.5× 273 0.6× 529 1.7× 284 3.9k
Yun Zhang China 31 255 0.2× 166 0.2× 419 0.5× 167 0.4× 719 2.3× 263 3.4k
Hui Lin China 33 71 0.0× 499 0.6× 578 0.7× 257 0.6× 345 1.1× 247 4.1k
Mingzhu Wang China 29 234 0.1× 277 0.3× 69 0.1× 87 0.2× 249 0.8× 92 2.9k
Xueliang Zhang China 33 105 0.1× 1.1k 1.3× 1.0k 1.2× 280 0.6× 721 2.3× 176 5.1k

Countries citing papers authored by Ge Chen

Since Specialization
Citations

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

Fields of papers citing papers by Ge Chen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ge Chen

This figure shows the co-authorship network connecting the top 25 collaborators of Ge Chen. A scholar is included among the top collaborators of Ge Chen 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 Ge Chen. Ge Chen 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.
Liu, Guangzhe, Fenglin Tian, Yanpeng Qi, & Ge Chen. (2025). Motion simulation algorithm for underwater vehicles targeting internal wave pycnoclines. Ocean Engineering. 323. 120575–120575.
2.
Pei, Zeguang, et al.. (2024). Research on spatial localization method of composite damage under strong noise. Ultrasonics. 140. 107301–107301. 2 indexed citations
3.
Chen, Xiaohong, Graham D. Quartly, & Ge Chen. (2024). Eddy Detection Inverted from Argo Profiles to Surface Altimetry. Journal of Atmospheric and Oceanic Technology. 41(6). 551–572. 4 indexed citations
4.
Chen, Ge, et al.. (2024). Hierarchical Game‐Theoretic Framework for Live Video Transmission with Dynamic Network Computing Integration. International Journal of Intelligent Systems. 2024(1).
5.
Zhang, Yinsheng, et al.. (2024). Synthetic aperture optical image restoration based on multi-scale feature enhancement. Acta Physica Sinica. 73(6). 64203–64203. 1 indexed citations
6.
Huang, Baoxiang, et al.. (2024). Intelligent Sparse2Dense Profile Reconstruction for Predicting Global Subsurface Chlorophyll Maxima. IEEE Transactions on Geoscience and Remote Sensing. 62. 1–13. 1 indexed citations
7.
Huang, Shuying, et al.. (2024). MFTN: Multi-Level Feature Transfer Network Based on MRI-Transformer for MR Image Super-resolution. Proceedings of the AAAI Conference on Artificial Intelligence. 38(3). 2366–2373. 3 indexed citations
8.
Huang, Baoxiang, et al.. (2024). Deep learning solver unites SDGSAT-1 observations and Navier–Stokes theory for oceanic vortex streets. Remote Sensing of Environment. 315. 114425–114425. 7 indexed citations
9.
Chen, Ge, et al.. (2023). Current investigation status of oxy-fuel circulating fluidized bed combustion. Fuel. 342. 127699–127699. 24 indexed citations
10.
Huang, Baoxiang, Ge Chen, Hongfeng Zhang, Guojia Hou, & Milena Radenkovic. (2023). Instant deep sea debris detection for maneuverable underwater machines to build sustainable ocean using deep neural network. The Science of The Total Environment. 878. 162826–162826. 22 indexed citations
11.
Chen, Ge, et al.. (2023). Deep blue artificial intelligence for knowledge discovery of the intermediate ocean. Frontiers in Marine Science. 9. 3 indexed citations
12.
Liu, Wen, et al.. (2023). EFGAN: An automatic GAN-based methodology for mining eddy-front coupling with fused remote sensing data. Information Fusion. 101. 101982–101982. 2 indexed citations
13.
Zhao, Nan, et al.. (2023). Oceanic Eddy Identification Using Pyramid Split Attention U-Net With Remote Sensing Imagery. IEEE Geoscience and Remote Sensing Letters. 20. 1–5. 21 indexed citations
14.
Chen, Ge, et al.. (2023). Fluorescence microscopy images denoising via deep convolutional sparse coding. Signal Processing Image Communication. 117. 117003–117003. 2 indexed citations
15.
Zhang, Xiao-Ya, Baoxiang Huang, Ge Chen, Milena Radenkovic, & Guojia Hou. (2023). WildFishNet: Open Set Wild Fish Recognition Deep Neural Network With Fusion Activation Pattern. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing. 16. 7303–7314. 8 indexed citations
16.
Zhang, Hongfeng, et al.. (2022). An Efficient Oceanic Eddy Identification Method With XBT Data Using Transformer. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing. 15. 9860–9872. 5 indexed citations
17.
Chen, Ge, et al.. (2022). Deep blue AI: A new bridge from data to knowledge for the ocean science. Deep Sea Research Part I Oceanographic Research Papers. 190. 103886–103886. 18 indexed citations
18.
Huang, Baoxiang, et al.. (2021). Deep-Sea Debris Identification Using Deep Convolutional Neural Networks. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing. 14. 8909–8921. 22 indexed citations
19.
Tian, Fenglin, et al.. (2017). An Improved Automatic Algorithm for Global Eddy Tracking Using Satellite Altimeter Data. Remote Sensing. 9(3). 206–206. 48 indexed citations
20.
Chen, Hai, et al.. (2013). Relationship Between Basal Paleogeomorphology and Bauxite Ore Quality in the Wuchuan-Zheng'an-Daozhen Area: An Example From the Dazhuyuan Bauxite Ore Deposit. Geology and Exploration. 49(2). 195–204. 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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