Shile Li

882 total citations
14 papers, 380 citations indexed

About

Shile Li is a scholar working on Computer Vision and Pattern Recognition, Aerospace Engineering and Control and Systems Engineering. According to data from OpenAlex, Shile Li has authored 14 papers receiving a total of 380 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Computer Vision and Pattern Recognition, 7 papers in Aerospace Engineering and 6 papers in Control and Systems Engineering. Recurrent topics in Shile Li's work include Robotics and Sensor-Based Localization (7 papers), Advanced Vision and Imaging (6 papers) and Robot Manipulation and Learning (6 papers). Shile Li is often cited by papers focused on Robotics and Sensor-Based Localization (7 papers), Advanced Vision and Imaging (6 papers) and Robot Manipulation and Learning (6 papers). Shile Li collaborates with scholars based in Germany, China and Singapore. Shile Li's co-authors include Dongheui Lee, Angela Yao, Linlin Yang, Haojie Wang, Kolja Kühnlenz, Lili Chen, Ralf Ludwig, Lingxiao Wang, Monique Bernier and Wei Wang and has published in prestigious journals such as International Journal of Applied Earth Observation and Geoinformation, IEEE Robotics and Automation Letters and Neural Processing Letters.

In The Last Decade

Shile Li

14 papers receiving 370 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Shile Li Germany 7 328 234 88 84 72 14 380
L. Vacchetti Switzerland 6 462 1.4× 339 1.4× 48 0.5× 38 0.5× 104 1.4× 6 506
Vincent Gay‐Bellile France 10 288 0.9× 218 0.9× 13 0.1× 30 0.4× 63 0.9× 24 357
Binbin Xu United Kingdom 8 179 0.5× 162 0.7× 34 0.4× 16 0.2× 65 0.9× 22 268
Daniel Herrera C. Finland 2 254 0.8× 152 0.6× 21 0.2× 34 0.4× 49 0.7× 3 319
Gaku Narita Japan 5 224 0.7× 108 0.5× 16 0.2× 63 0.8× 70 1.0× 5 293
Mariano Jaimez Spain 8 342 1.0× 317 1.4× 36 0.4× 7 0.1× 93 1.3× 11 416
Carl Yuheng Ren United Kingdom 7 381 1.2× 282 1.2× 24 0.3× 12 0.1× 149 2.1× 10 436
Tristan Laidlow United Kingdom 6 280 0.9× 146 0.6× 40 0.5× 11 0.1× 77 1.1× 8 370
Lachlan Nicholson Australia 4 191 0.6× 197 0.8× 70 0.8× 9 0.1× 55 0.8× 5 266
Pilar Merchán Spain 10 114 0.3× 46 0.2× 52 0.6× 27 0.3× 97 1.3× 41 280

Countries citing papers authored by Shile Li

Since Specialization
Citations

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

Fields of papers citing papers by Shile Li

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Shile Li

This figure shows the co-authorship network connecting the top 25 collaborators of Shile Li. A scholar is included among the top collaborators of Shile 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 Shile Li. Shile Li is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

14 of 14 papers shown
1.
Mannan, Fahim, et al.. (2024). Flow-Guided Online Stereo Rectification for Wide Baseline Stereo. 15375–15385. 1 indexed citations
2.
Li, Shile, et al.. (2023). Retrieving freeze-thaw states using deep learning with remote sensing data in permafrost landscapes. International Journal of Applied Earth Observation and Geoinformation. 126. 103616–103616. 3 indexed citations
3.
4.
Li, Shile, et al.. (2023). Implicit Learning of Scene Geometry From Poses for Global Localization. IEEE Robotics and Automation Letters. 9(2). 955–962. 2 indexed citations
5.
Huang, Dan, et al.. (2023). Estimation of 6D Pose of Objects Based on a Variant Adversarial Autoencoder. Neural Processing Letters. 55(7). 9581–9596. 1 indexed citations
6.
Li, Shile, et al.. (2021). Human hand motion retargeting for dexterous robotic hand. elib (German Aerospace Center). 264–270. 3 indexed citations
7.
Li, Shile, et al.. (2020). Hand Pose-based Task Learning from Visual Observations with Semantic Skill Extraction. elib (German Aerospace Center). 596–603. 4 indexed citations
8.
Li, Shile, Haojie Wang, & Dongheui Lee. (2020). Hand Pose Estimation for Hand-Object Interaction Cases using Augmented Autoencoder. elib (German Aerospace Center). 993–999. 7 indexed citations
9.
Yang, Linlin, Shile Li, Dongheui Lee, & Angela Yao. (2019). Aligning Latent Spaces for 3D Hand Pose Estimation. elib (German Aerospace Center). 2335–2343. 56 indexed citations
10.
Li, Shile & Dongheui Lee. (2019). Point-To-Pose Voting Based Hand Pose Estimation Using Residual Permutation Equivariant Layer. elib (German Aerospace Center). 11919–11928. 58 indexed citations
11.
Li, Shile & Dongheui Lee. (2017). RGB-D SLAM in Dynamic Environments Using Static Point Weighting. IEEE Robotics and Automation Letters. 2(4). 2263–2270. 203 indexed citations
12.
Li, Shile & Dongheui Lee. (2016). Fast Visual Odometry Using Intensity-Assisted Iterative Closest Point. IEEE Robotics and Automation Letters. 1(2). 992–999. 22 indexed citations
13.
Li, Shile, et al.. (2015). Real-time and model-free object tracking using particle filter with Joint Color-Spatial Descriptor. 140. 6079–6085. 12 indexed citations
14.

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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2026