Ruyu Liu

647 total citations
51 papers, 409 citations indexed

About

Ruyu Liu is a scholar working on Computer Vision and Pattern Recognition, Aerospace Engineering and Electrical and Electronic Engineering. According to data from OpenAlex, Ruyu Liu has authored 51 papers receiving a total of 409 indexed citations (citations by other indexed papers that have themselves been cited), including 31 papers in Computer Vision and Pattern Recognition, 19 papers in Aerospace Engineering and 11 papers in Electrical and Electronic Engineering. Recurrent topics in Ruyu Liu's work include Robotics and Sensor-Based Localization (19 papers), 3D Surveying and Cultural Heritage (11 papers) and Advanced Vision and Imaging (10 papers). Ruyu Liu is often cited by papers focused on Robotics and Sensor-Based Localization (19 papers), 3D Surveying and Cultural Heritage (11 papers) and Advanced Vision and Imaging (10 papers). Ruyu Liu collaborates with scholars based in China, Denmark and Germany. Ruyu Liu's co-authors include Jianhua Zhang, Shengyong Chen, Yongjun Shen, Shaopu Yang, Guodao Zhang, Zhenhua Wang, Qichao Wang, Honghai Liu, Clemens Arth and Jiangming Wang and has published in prestigious journals such as IEEE Transactions on Industrial Electronics, Sensors and Pattern Recognition.

In The Last Decade

Ruyu Liu

43 papers receiving 399 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Ruyu Liu China 11 199 199 75 62 51 51 409
Mohammad Bozorg Iran 14 101 0.5× 179 0.9× 82 1.1× 26 0.4× 185 3.6× 39 457
Xiangyang Zhang China 8 129 0.6× 70 0.4× 27 0.4× 18 0.3× 201 3.9× 12 440
Xuesong Shi China 11 298 1.5× 301 1.5× 95 1.3× 70 1.1× 49 1.0× 21 495
Xiaodong Yi China 12 238 1.2× 240 1.2× 72 1.0× 43 0.7× 45 0.9× 52 429
Jonas Callmer Sweden 12 132 0.7× 270 1.4× 307 4.1× 29 0.5× 41 0.8× 17 516
Peter W. Gibbens Australia 12 189 0.9× 400 2.0× 72 1.0× 14 0.2× 175 3.4× 41 545

Countries citing papers authored by Ruyu Liu

Since Specialization
Citations

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

Fields of papers citing papers by Ruyu Liu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ruyu Liu

This figure shows the co-authorship network connecting the top 25 collaborators of Ruyu Liu. A scholar is included among the top collaborators of Ruyu Liu 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 Ruyu Liu. Ruyu Liu 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.
Wang, Peng, Hongmei Qu, Xia Li, et al.. (2025). A novel strategy to construct MOFs-based probes using new reactive coumarin ligands for rapid and sensitive detection of hydrogen sulfide (H2S). Journal of Solid State Chemistry. 345. 125212–125212. 1 indexed citations
2.
Xiao, Junhao, et al.. (2025). Semantic Visual Simultaneous Localization and Mapping: A Survey. IEEE Transactions on Intelligent Transportation Systems. 26(6). 7426–7449. 2 indexed citations
3.
Zhang, Jianhua, et al.. (2025). SVD-KD: SVD-based hidden layer feature extraction for Knowledge distillation. Pattern Recognition. 167. 111721–111721. 2 indexed citations
4.
Liu, Ruyu, et al.. (2025). Dual-Branch Semantic Enhancement Network Joint With Iterative Self-Matching Training Strategy for Semi-Supervised Semantic Segmentation. IEEE Transactions on Emerging Topics in Computational Intelligence. 9(3). 2308–2320.
5.
Liu, Ruyu, Jianhua Zhang, Xiufeng Liu, et al.. (2025). Multi-branch perturbation learning with constraint simulation for semi-supervised semantic segmentation. Pattern Recognition. 171. 112200–112200.
6.
Zhang, Haoyu, et al.. (2025). Mde-EvoNAS: Automatic network architecture design for monocular depth estimation via evolutionary neural architecture search. Swarm and Evolutionary Computation. 93. 101837–101837. 2 indexed citations
7.
Liu, Ruyu, Lin Wang, Haoyu Zhang, et al.. (2025). SCTNet-NAS: efficient semantic segmentation via neural architecture search for cloud-edge collaborative perception. Complex & Intelligent Systems. 11(8). 1 indexed citations
8.
Gao, Zixuan, Wen Deng, Xinxin Li, et al.. (2025). Application of Nanotechnology in TACE Treatment of Liver Cancer. International Journal of Nanomedicine. Volume 20. 9621–9639.
9.
10.
Liu, Ruyu, et al.. (2024). LET-UP: A Lightweight, Efficient Binarized Transformer for Point Cloud Upsampling. IEEE Transactions on Instrumentation and Measurement. 73. 1–14.
11.
Chen, Yichen, et al.. (2024). 360ORB-SLAM: A Visual SLAM System for Panoramic Images with Depth Completion Network. 717–722. 3 indexed citations
12.
Chen, Hua, et al.. (2024). Detecting energy theft with partially observed anomalies. International Journal of Electrical Power & Energy Systems. 162. 110323–110323. 3 indexed citations
13.
Liu, Ruyu, et al.. (2024). A Transformer-Based Network for Multi-Stage Progressive Image Restoration. 393–401. 1 indexed citations
14.
Liu, Ruyu, Zhengzhe Liu, Guodao Zhang, et al.. (2023). Sparse-to-dense coarse-to-fine depth estimation for colonoscopy. Computers in Biology and Medicine. 160. 106983–106983. 8 indexed citations
15.
Zhang, Guodao, et al.. (2023). BICANet: LiDAR Point Cloud Classification Network Based on Coordinate Attention and Blueprint Separation Involution Neural Network. IEEE Sensors Journal. 23(22). 27720–27732. 2 indexed citations
16.
Liu, Ruyu, et al.. (2023). Causal calibration: iteratively calibrating LiDAR and camera by considering causality and geometry. Complex & Intelligent Systems. 9(6). 7349–7363. 2 indexed citations
17.
Liu, Ruyu, et al.. (2023). KSRB-Net: a continuous sign language recognition deep learning strategy based on motion perception mechanism. The Visual Computer. 40(11). 7845–7858. 1 indexed citations
18.
Zhang, Xin, et al.. (2023). DARMF-UNet: A dual-branch attention-guided refinement network with multi-scale features fusion U-Net for gland segmentation. Computers in Biology and Medicine. 163. 107218–107218. 6 indexed citations
19.
Zhang, Zhiyong, Ruyu Liu, En Xie, & Guodao Zhang. (2022). Large Scale Point Cloud Classification Base on Graph-MLP++. 1–6. 1 indexed citations
20.
Zhang, Jianhua, et al.. (2020). CalibRCNN: Calibrating Camera and LiDAR by Recurrent Convolutional Neural Network and Geometric Constraints. Portsmouth Research Portal (University of Portsmouth). 10197–10202. 48 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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