Yonggen Ling

800 total citations
30 papers, 372 citations indexed

About

Yonggen Ling is a scholar working on Computer Vision and Pattern Recognition, Aerospace Engineering and Biomedical Engineering. According to data from OpenAlex, Yonggen Ling has authored 30 papers receiving a total of 372 indexed citations (citations by other indexed papers that have themselves been cited), including 24 papers in Computer Vision and Pattern Recognition, 9 papers in Aerospace Engineering and 7 papers in Biomedical Engineering. Recurrent topics in Yonggen Ling's work include Advanced Vision and Imaging (13 papers), Robotics and Sensor-Based Localization (9 papers) and Optical measurement and interference techniques (5 papers). Yonggen Ling is often cited by papers focused on Advanced Vision and Imaging (13 papers), Robotics and Sensor-Based Localization (9 papers) and Optical measurement and interference techniques (5 papers). Yonggen Ling collaborates with scholars based in China, Hong Kong and United Kingdom. Yonggen Ling's co-authors include Shaojie Shen, Shenghao Zhang, Zejian Yuan, Wanchao Chi, Chong Zhang, King Ngi Ngan, Chenguang Yang, Wei Liu, Linchao Bao and Yibing Song and has published in prestigious journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, IEEE Transactions on Intelligent Transportation Systems and Neural Networks.

In The Last Decade

Yonggen Ling

28 papers receiving 363 citations

Peers

Yonggen Ling
Zachary Teed United States
Kai Berger Germany
B.J. Tordoff United Kingdom
Fred Rothganger United States
Kyungdon Joo South Korea
Ezio Malis France
Zachary Teed United States
Yonggen Ling
Citations per year, relative to Yonggen Ling Yonggen Ling (= 1×) peers Zachary Teed

Countries citing papers authored by Yonggen Ling

Since Specialization
Citations

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

Fields of papers citing papers by Yonggen Ling

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yonggen Ling

This figure shows the co-authorship network connecting the top 25 collaborators of Yonggen Ling. A scholar is included among the top collaborators of Yonggen Ling 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 Yonggen Ling. Yonggen Ling 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.
An, Dong, Yan Huang, Rongtao Xu, et al.. (2025). Constraint-Aware Zero-Shot Vision-Language Navigation in Continuous Environments. IEEE Transactions on Pattern Analysis and Machine Intelligence. 47(11). 10441–10456. 1 indexed citations
2.
An, Dong, et al.. (2025). Learning Fine-Grained Alignment for Aerial Vision-Dialog Navigation. Proceedings of the AAAI Conference on Artificial Intelligence. 39(7). 7060–7068.
3.
Zhou, Xiao-Hu, Xiao‐Liang Xie, Shi-Qi Liu, et al.. (2024). Highly Interpretable Representation for Multi-Dimensional Tactile Perception. IEEE Transactions on Medical Robotics and Bionics. 6(1). 340–350.
4.
Zhang, Boxiang, Yonggen Ling, Yuanyuan Guan, et al.. (2023). ShuffleTrans: Patch-wise weight shuffle for transparent object segmentation. Neural Networks. 167. 199–212. 7 indexed citations
5.
Zhang, Boxiang, et al.. (2023). Mx2M: Masked Cross-Modality Modeling in Domain Adaptation for 3D Semantic Segmentation. Proceedings of the AAAI Conference on Artificial Intelligence. 37(3). 3401–3409. 4 indexed citations
6.
Li, Qiang, et al.. (2023). Tactile-Based Object Pose Estimation Employing Extended Kalman Filter. 118–123. 1 indexed citations
7.
Ling, Yonggen, et al.. (2023). Deep Fusion for Multi-Modal 6D Pose Estimation. IEEE Transactions on Automation Science and Engineering. 21(4). 6540–6549. 12 indexed citations
8.
Zhang, Kejun, Rui Zhang, Yonglin Wu, et al.. (2022). Few-shot font style transfer with multiple style encoders. Science China Information Sciences. 65(6). 2 indexed citations
9.
Huang, Bidan, Qiang Li, Y. Zheng, et al.. (2022). Multi-fingered Tactile Servoing for Grasping Adjustment under Partial Observation. 2022 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS). 6 indexed citations
10.
Yuan, Zejian, et al.. (2021). Attention-Oriented Action Recognition for Real- Time Human-Robot Interaction. 7087–7094. 10 indexed citations
12.
Yuan, Zejian, et al.. (2021). Unsupervised Occlusion-Aware Stereo Matching With Directed Disparity Smoothing. IEEE Transactions on Intelligent Transportation Systems. 23(7). 7457–7468. 8 indexed citations
13.
Yuan, Zejian, et al.. (2020). Crowded Human Detection via an Anchor-pair Network. 1380–1388. 7 indexed citations
14.
Bao, Linchao, Yajing Chen, Yonggen Ling, et al.. (2019). MVF-Net: Multi-View 3D Face Morphable Model Regression. University of Birmingham Research Portal (University of Birmingham). 959–968. 72 indexed citations
15.
Ling, Yonggen & Shaojie Shen. (2019). Real‐time dense mapping for online processing and navigation. Journal of Field Robotics. 36(5). 1004–1036. 9 indexed citations
16.
Ling, Yonggen, Kaixuan Wang, & Shaojie Shen. (2018). Probabilistic Dense Reconstruction from a Moving Camera. 6364–6371. 6 indexed citations
17.
Ling, Yonggen & Shaojie Shen. (2017). Building maps for autonomous navigation using sparse visual SLAM features. Rare & Special e-Zone (The Hong Kong University of Science and Technology). 1374–1381. 20 indexed citations
18.
Ling, Yonggen, Tianbo Liu, & Shaojie Shen. (2016). Aggressive quadrotor flight using dense visual-inertial fusion. Rare & Special e-Zone (The Hong Kong University of Science and Technology). 1499–1506. 25 indexed citations
19.
Ling, Yonggen, Oscar C. Au, Jiahao Pang, et al.. (2015). Image colorization via color propagation and rank minimization. Rare & Special e-Zone (The Hong Kong University of Science and Technology). 4228–4232. 4 indexed citations
20.
Zheng, Amin, Oscar C. Au, Yuan Yuan, et al.. (2014). Intra prediction with adaptive CU processing order in HEVC. Rare & Special e-Zone (The Hong Kong University of Science and Technology). 3724–3728. 6 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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