Xuguang Lan

4.8k total citations · 2 hit papers
102 papers, 3.0k citations indexed

About

Xuguang Lan is a scholar working on Computer Vision and Pattern Recognition, Control and Systems Engineering and Artificial Intelligence. According to data from OpenAlex, Xuguang Lan has authored 102 papers receiving a total of 3.0k indexed citations (citations by other indexed papers that have themselves been cited), including 73 papers in Computer Vision and Pattern Recognition, 27 papers in Control and Systems Engineering and 27 papers in Artificial Intelligence. Recurrent topics in Xuguang Lan's work include Robot Manipulation and Learning (24 papers), Advanced Data Compression Techniques (16 papers) and Human Pose and Action Recognition (16 papers). Xuguang Lan is often cited by papers focused on Robot Manipulation and Learning (24 papers), Advanced Data Compression Techniques (16 papers) and Human Pose and Action Recognition (16 papers). Xuguang Lan collaborates with scholars based in China, United States and Poland. Xuguang Lan's co-authors include Nanning Zheng, Xiaoyi Jiang, George Loizou, Xuelong Li, Zhiqiang Tian, Hanbo Zhang, Jiachen Yu, Shuai Liu, Shaoyi Du and Xinwen Zhou and has published in prestigious journals such as IEEE Transactions on Image Processing, The Journal of Physical Chemistry Letters and Sensors.

In The Last Decade

Xuguang Lan

93 papers receiving 2.9k citations

Hit Papers

Computer vision and pattern recognition 2007 2026 2013 2019 2007 2020 500 1000 1.5k
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. Computer vision and pattern recognition
    2007 1.6k citations Nanning Zheng, Xuguang Lan et al. profile →
  2. A review of object detection based on deep learning
    2020 353 citations Zhiqiang Tian, Xuguang Lan et al. Multimedia Tools and Applications profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Xuguang Lan China 16 1.8k 600 471 350 282 102 3.0k
Tatsuya Harada Japan 34 2.1k 1.2× 1.1k 1.8× 228 0.5× 294 0.8× 360 1.3× 236 3.9k
Xiaolong Wang China 29 2.3k 1.3× 894 1.5× 722 1.5× 244 0.7× 124 0.4× 161 4.0k
Song–Hai Zhang China 23 2.4k 1.4× 528 0.9× 212 0.5× 189 0.5× 626 2.2× 103 3.7k
Bodo Rosenhahn Germany 34 3.3k 1.8× 896 1.5× 604 1.3× 413 1.2× 163 0.6× 205 4.5k
Ying Shan China 37 4.0k 2.3× 907 1.5× 480 1.0× 305 0.9× 542 1.9× 232 5.7k
Liang Zhang China 28 1.8k 1.0× 501 0.8× 137 0.3× 442 1.3× 287 1.0× 115 2.7k
Hongbin Zha China 33 2.9k 1.6× 685 1.1× 297 0.6× 194 0.6× 349 1.2× 289 3.9k
Hironobu Fujiyoshi Japan 17 2.7k 1.5× 741 1.2× 146 0.3× 265 0.8× 218 0.8× 163 3.6k
Xin Yu China 36 2.9k 1.6× 769 1.3× 202 0.4× 533 1.5× 406 1.4× 260 4.3k
Takio Kurita Japan 24 1.3k 0.7× 642 1.1× 198 0.4× 279 0.8× 196 0.7× 204 2.6k

Countries citing papers authored by Xuguang Lan

Since Specialization
Citations

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

Fields of papers citing papers by Xuguang Lan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Xuguang Lan

This figure shows the co-authorship network connecting the top 25 collaborators of Xuguang Lan. A scholar is included among the top collaborators of Xuguang Lan 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 Xuguang Lan. Xuguang Lan 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, Yaxin, et al.. (2025). Dual Graph Attention Networks for Multi-View Visual Manipulation Relationship Detection and Robotic Grasping. IEEE Transactions on Automation Science and Engineering. 22. 13694–13705.
2.
Wang, Ziru, et al.. (2025). Improving Sample Efficiency Through Stability Enhancement in Deep-Reinforcement Learning. IEEE Transactions on Systems Man and Cybernetics Systems. 55(9). 6164–6176.
3.
Shi, Qinru, Meiqin Liu, Senlin Zhang, & Xuguang Lan. (2025). Reinforcement Learning for Multi-Agent Path Finding in Large-Scale Warehouses via Distributed Policy Evolution. IEEE Robotics and Automation Letters. 10(8). 7843–7850.
4.
Zhang, Senlin, et al.. (2024). Multi-agent evaluation for energy management by practically scaling α-rank. Frontiers of Information Technology & Electronic Engineering. 25(7). 1003–1016. 3 indexed citations
5.
Liu, Yaxin, et al.. (2024). Grasp Manipulation Relationship Detection based on Graph Sample and Aggregation. 4098–4104. 2 indexed citations
6.
7.
Xu, Jie, et al.. (2024). Towards Unified Interactive Visual Grounding in The Wild. 3288–3295. 2 indexed citations
8.
Wang, Ziru, et al.. (2024). A causality guided loss for imbalanced learning in scene graph generation. Neurocomputing. 599. 128042–128042. 3 indexed citations
9.
Qin, Weiwei, et al.. (2024). Robust control for affine nonlinear systems under the reinforcement learning framework. Neurocomputing. 587. 127631–127631. 2 indexed citations
10.
Zhang, Hanbo, et al.. (2022). REGRAD: A Large-Scale Relational Grasp Dataset for Safe and Object-Specific Robotic Grasping in Clutter. IEEE Robotics and Automation Letters. 7(2). 2929–2936. 27 indexed citations
11.
Zhang, Hanbo, et al.. (2021). REGNet: REgion-based Grasp Network for End-to-end Grasp Detection in Point Clouds. 13474–13480. 53 indexed citations
12.
Li, Jin, et al.. (2020). Generalized Zero-Shot Learning Via Multi-Modal Aggregated Posterior Aligning Neural Network. IEEE Transactions on Multimedia. 24. 177–187. 15 indexed citations
13.
Lan, Xuguang, et al.. (2020). REGNet: REgion-based Grasp Network for Single-shot Grasp Detection in Point Clouds.. arXiv (Cornell University). 4 indexed citations
14.
Li, Jin, Xuguang Lan, Yang Long, et al.. (2020). A Joint Label Space for Generalized Zero-Shot Classification. IEEE Transactions on Image Processing. 29. 5817–5831. 23 indexed citations
15.
Liang, Guoqiang, Xuguang Lan, Xingyu Chen, et al.. (2019). Cross-View Person Identification Based on Confidence-Weighted Human Pose Matching. IEEE Transactions on Image Processing. 28(8). 3821–3835. 10 indexed citations
16.
Wang, Yongchao, et al.. (2019). An experience-based policy gradient method for smooth manipulation. 93–97. 2 indexed citations
17.
Lan, Xuguang, et al.. (2018). RoI-based Robotic Grasp Detection in Object Overlapping Scenes Using Convolutional Neural Network.. arXiv (Cornell University). 5 indexed citations
18.
19.
Yang, Meng, Ce Zhu, Xuguang Lan, & Nanning Zheng. (2018). Efficient Estimation of View Synthesis Distortion for Depth Coding Optimization. IEEE Transactions on Multimedia. 21(4). 863–874. 4 indexed citations
20.
Chen, Xingyu, Xuguang Lan, Guoqiang Liang, Jianyi Liu, & Nanning Zheng. (2017). Pose-and-illumination-invariant face representation via a triplet-loss trained deep reconstruction model. Multimedia Tools and Applications. 76(21). 22043–22058. 11 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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