Jinyu Yang

792 total citations
14 papers, 151 citations indexed

About

Jinyu Yang is a scholar working on Computer Vision and Pattern Recognition, Cognitive Neuroscience and Molecular Biology. According to data from OpenAlex, Jinyu Yang has authored 14 papers receiving a total of 151 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Computer Vision and Pattern Recognition, 3 papers in Cognitive Neuroscience and 1 paper in Molecular Biology. Recurrent topics in Jinyu Yang's work include Visual Attention and Saliency Detection (6 papers), Video Surveillance and Tracking Methods (4 papers) and Advanced Image and Video Retrieval Techniques (4 papers). Jinyu Yang is often cited by papers focused on Visual Attention and Saliency Detection (6 papers), Video Surveillance and Tracking Methods (4 papers) and Advanced Image and Video Retrieval Techniques (4 papers). Jinyu Yang collaborates with scholars based in China, United Kingdom and Australia. Jinyu Yang's co-authors include Feng Zheng, Aleš Leonardis, Zhe Li, Jingkuan Song, Yanjiao Shi, Jin Zhang, Qing Zhang, Zhe Li, Yanfu Zhang and Feng Zheng and has published in prestigious journals such as Neurocomputing, IEEE Transactions on Circuits and Systems for Video Technology and Journal of Industrial and Engineering Chemistry.

In The Last Decade

Jinyu Yang

9 papers receiving 151 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Jinyu Yang China 6 109 33 25 18 12 14 151
Scott Krig 3 71 0.7× 29 0.9× 27 1.1× 12 0.7× 8 0.7× 4 141
Simiao Lai China 4 132 1.2× 49 1.5× 32 1.3× 22 1.2× 15 1.3× 6 180
Radim Tyleček United Kingdom 6 95 0.9× 42 1.3× 13 0.5× 6 0.3× 6 0.5× 13 137
Zhangyong Tang China 7 117 1.1× 42 1.3× 24 1.0× 30 1.7× 11 0.9× 15 175
Sibo Song China 6 137 1.3× 10 0.3× 52 2.1× 22 1.2× 17 1.4× 8 184
Jinrong Yang China 7 140 1.3× 57 1.7× 14 0.6× 17 0.9× 8 0.7× 10 197
Ilchae Jung South Korea 2 70 0.6× 16 0.5× 28 1.1× 6 0.3× 10 0.8× 3 120
Chengli Zhu China 3 217 2.0× 86 2.6× 11 0.4× 37 2.1× 9 0.8× 6 242
Yujie Zhong China 7 145 1.3× 17 0.5× 67 2.7× 5 0.3× 5 0.4× 12 179
Geoffrey Cross United Kingdom 6 403 3.7× 47 1.4× 22 0.9× 34 1.9× 7 0.6× 9 431

Countries citing papers authored by Jinyu Yang

Since Specialization
Citations

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

Fields of papers citing papers by Jinyu Yang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jinyu Yang

This figure shows the co-authorship network connecting the top 25 collaborators of Jinyu Yang. A scholar is included among the top collaborators of Jinyu Yang 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 Jinyu Yang. Jinyu Yang 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.
Gong, Liping, Chunyu Zhao, Hongda Lu, et al.. (2025). Direct ink writing of gradient shear-stiffening elastomer for enhanced toughness and impact resistance. Journal of Industrial and Engineering Chemistry. 149. 593–603.
2.
Wang, Liqiong, et al.. (2024). Depth-Aware Concealed Crop Detection in Dense Agricultural Scenes. 17201–17211. 12 indexed citations
4.
Shi, Yanjiao, et al.. (2024). D2Net: discriminative feature extraction and details preservation network for salient object detection. Journal of Electronic Imaging. 33(4).
5.
Yang, Jinyu, et al.. (2024). Multi-branch feature fusion and refinement network for salient object detection. Multimedia Systems. 30(4). 2 indexed citations
6.
Zhang, Jin, et al.. (2023). KD-SCFNet: Towards more accurate and lightweight salient object detection via knowledge distillation. Neurocomputing. 572. 127206–127206. 10 indexed citations
7.
Gao, Mingqi, Jinyu Yang, Jungong Han, et al.. (2023). Decoupling Multimodal Transformers for Referring Video Object Segmentation. IEEE Transactions on Circuits and Systems for Video Technology. 33(9). 4518–4528. 12 indexed citations
9.
Yang, Jinyu, et al.. (2023). Resource-Efficient RGBD Aerial Tracking. 13374–13383. 14 indexed citations
10.
Yang, Jinyu, Zhe Li, Feng Zheng, Aleš Leonardis, & Jingkuan Song. (2022). Prompting for Multi-Modal Tracking. Proceedings of the 30th ACM International Conference on Multimedia. 3492–3500. 85 indexed citations
11.
Zhang, Jin, et al.. (2022). R2Net: Residual refinement network for salient object detection. Image and Vision Computing. 120. 104423–104423. 13 indexed citations
12.
Yan, Song, Jinyu Yang, Aleš Leonardis, & Joni‐Kristian Kämäräinen. (2021). Depth-only Object Tracking.
13.
Yang, Xiaoyan & Jinyu Yang. (2021). An improved moving object tracking algorithm based on CAMSHIFT. Journal of Physics Conference Series. 1941(1). 12024–12024. 1 indexed citations
14.
Zhang, Fan, et al.. (2017). Localize car door handles with image segmentation and saliency detection. 3. 1–6. 2 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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