Ge Li

750 total citations
27 papers, 270 citations indexed

About

Ge Li is a scholar working on Computer Vision and Pattern Recognition, Computational Mechanics and Computer Graphics and Computer-Aided Design. According to data from OpenAlex, Ge Li has authored 27 papers receiving a total of 270 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Computer Vision and Pattern Recognition, 10 papers in Computational Mechanics and 6 papers in Computer Graphics and Computer-Aided Design. Recurrent topics in Ge Li's work include 3D Shape Modeling and Analysis (9 papers), Advanced Vision and Imaging (7 papers) and Computer Graphics and Visualization Techniques (6 papers). Ge Li is often cited by papers focused on 3D Shape Modeling and Analysis (9 papers), Advanced Vision and Imaging (7 papers) and Computer Graphics and Visualization Techniques (6 papers). Ge Li collaborates with scholars based in China and United States. Ge Li's co-authors include Chunbiao Zhu, Thomas H. Li, Shan Liu, Yurui Ren, Xingyu Chen, Ruonan Zhang, Wei Gao, Yuanqi Chen, Ji Jiang and Zhi Jin and has published in prestigious journals such as Sensors, International Journal of Computer Vision and International Journal of Remote Sensing.

In The Last Decade

Ge Li

23 papers receiving 263 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Ge Li China 8 230 51 37 26 24 27 270
Wei-Chih Tu Taiwan 6 380 1.7× 92 1.8× 40 1.1× 8 0.3× 16 0.7× 16 421
Tengpeng Li China 6 227 1.0× 38 0.7× 41 1.1× 3 0.1× 11 0.5× 13 259
Dmitriy Vatolin Russia 9 314 1.4× 93 1.8× 21 0.6× 3 0.1× 27 1.1× 49 343
Hamid Izadinia United States 7 212 0.9× 13 0.3× 13 0.4× 34 1.3× 5 0.2× 16 284
Yo-Sung Ho South Korea 11 430 1.9× 34 0.7× 12 0.3× 11 0.4× 15 0.6× 31 467
Guo-Ye Yang China 6 243 1.1× 52 1.0× 8 0.2× 29 1.1× 8 0.3× 7 279
Chen Guo China 8 148 0.6× 26 0.5× 8 0.2× 33 1.3× 15 0.6× 24 218
In Kyu Park South Korea 8 247 1.1× 56 1.1× 9 0.2× 9 0.3× 12 0.5× 27 306
Eran Borenstein United States 5 354 1.5× 51 1.0× 16 0.4× 50 1.9× 4 0.2× 6 423

Countries citing papers authored by Ge Li

Since Specialization
Citations

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

Fields of papers citing papers by Ge Li

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ge Li

This figure shows the co-authorship network connecting the top 25 collaborators of Ge Li. A scholar is included among the top collaborators of Ge Li 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 Li. Ge Li 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.
Jia, Peng, et al.. (2025). Adaptive Detection of Fast-moving Celestial Objects Using a Mixture-of-experts and Physical-inspired Neural Network. The Astronomical Journal. 169(5). 282–282. 1 indexed citations
2.
3.
Li, Jiaming, Jichang Li, Ge Li, et al.. (2024). Learning Background Prompts to Discover Implicit Knowledge for Open Vocabulary Object Detection. 16678–16687. 9 indexed citations
5.
Guo, Yang, Wei Gao, & Ge Li. (2024). Interpretable Task-inspired Adaptive Filter Pruning for Neural Networks Under Multiple Constraints. International Journal of Computer Vision. 132(6). 2060–2076. 3 indexed citations
6.
Gao, Wei, et al.. (2024). Advanced Patch-Based Affine Motion Estimation for Dynamic Point Cloud Geometry Compression. Sensors. 24(10). 3142–3142. 1 indexed citations
7.
Li, Ge, et al.. (2024). Multi-Grained Point Cloud Geometry Compression via Dual-Model Prediction with Extended Octree. ACM Transactions on Multimedia Computing Communications and Applications. 20(9). 1–30. 2 indexed citations
8.
9.
Yuan, Xiang, Gong Cheng, Ge Li, et al.. (2023). Progress in small object detection for remote sensing images. Journal of Image and Graphics. 28(6). 1662–1684. 7 indexed citations
10.
Song, Rui, Chunyang Fu, Shan Liu, & Ge Li. (2023). Large-Scale Spatio-Temporal Attention Based Entropy Model for Point Cloud Compression. 2003–2008. 5 indexed citations
11.
Huang, Kan, Chunwei Tian, & Ge Li. (2023). Bidirectional mutual guidance transformer for salient object detection in optical remote sensing images. International Journal of Remote Sensing. 44(13). 4016–4033. 8 indexed citations
12.
Li, Ge & Ruonan Zhang. (2023). A Point is A Wave: Point-Wave Network for Place Recognition. 1–5. 1 indexed citations
14.
Li, Ge, et al.. (2023). Accurate Timing Path Delay Learning Using Feature Enhancer with Effective Capacitance. 280–285. 1 indexed citations
15.
Li, Ge, et al.. (2022). Rethinking Positional Encoding in Tree Transformer for Code Representation. 3204–3214. 5 indexed citations
16.
Ren, Yurui, et al.. (2022). Neural Texture Extraction and Distribution for Controllable Person Image Synthesis. 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR). 13525–13534. 42 indexed citations
17.
Shao, Yiting, et al.. (2019). Enhanced Intra Prediction Scheme in Point Cloud Attribute Compression. 1–4. 4 indexed citations
18.
Yu, Xiaoming, Yuanqi Chen, Thomas H. Li, Shan Liu, & Ge Li. (2019). Multi-mapping Image-to-Image Translation via Learning Disentanglement. arXiv (Cornell University). 32. 2990–2999. 16 indexed citations
19.
Li, Ge, et al.. (2017). Adaptive difference modelling for background subtraction. 1–4. 3 indexed citations
20.
Li, Ge & Chunbiao Zhu. (2017). A Three-Pathway Psychobiological Framework of Salient Object Detection Using Stereoscopic Technology. 3008–3014. 108 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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