Changcai Yang

1.5k total citations
73 papers, 1.1k citations indexed

About

Changcai Yang is a scholar working on Computer Vision and Pattern Recognition, Aerospace Engineering and Media Technology. According to data from OpenAlex, Changcai Yang has authored 73 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 48 papers in Computer Vision and Pattern Recognition, 22 papers in Aerospace Engineering and 18 papers in Media Technology. Recurrent topics in Changcai Yang's work include Advanced Image and Video Retrieval Techniques (25 papers), Medical Image Segmentation Techniques (15 papers) and Robotics and Sensor-Based Localization (15 papers). Changcai Yang is often cited by papers focused on Advanced Image and Video Retrieval Techniques (25 papers), Medical Image Segmentation Techniques (15 papers) and Robotics and Sensor-Based Localization (15 papers). Changcai Yang collaborates with scholars based in China, Japan and United Kingdom. Changcai Yang's co-authors include Jiayi Ma, Riqing Chen, Xin Tian, Shengxiang Qi, Taotao Lai, Lifang Wei, Sheng Zheng, Jie Ma, Chao Tao and Jinwen Tian and has published in prestigious journals such as IEEE Transactions on Industrial Electronics, IEEE Transactions on Geoscience and Remote Sensing and Expert Systems with Applications.

In The Last Decade

Changcai Yang

68 papers receiving 1.1k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Changcai Yang China 18 517 427 286 210 137 73 1.1k
Yufeng Wang China 15 299 0.6× 184 0.4× 132 0.5× 137 0.7× 202 1.5× 101 874
Payman Moallem Iran 20 455 0.9× 285 0.7× 258 0.9× 548 2.6× 27 0.2× 112 1.6k
Hongshan Yu China 19 491 0.9× 250 0.6× 82 0.3× 257 1.2× 106 0.8× 52 1.1k
Fei Zhou China 12 395 0.8× 699 1.6× 244 0.9× 476 2.3× 18 0.1× 35 1.3k
Hanyu Hong China 14 641 1.2× 218 0.5× 331 1.2× 103 0.5× 16 0.1× 78 1.1k
Mingliang Gao China 17 685 1.3× 130 0.3× 289 1.0× 77 0.4× 48 0.4× 97 1.1k
Sunil Agrawal India 18 593 1.1× 109 0.3× 508 1.8× 374 1.8× 329 2.4× 96 1.4k
Hongbing Ma China 19 525 1.0× 124 0.3× 452 1.6× 97 0.5× 31 0.2× 93 1.0k
Wenrui Ding China 16 600 1.2× 360 0.8× 444 1.6× 97 0.5× 161 1.2× 87 1.2k

Countries citing papers authored by Changcai Yang

Since Specialization
Citations

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

Fields of papers citing papers by Changcai Yang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Changcai Yang

This figure shows the co-authorship network connecting the top 25 collaborators of Changcai Yang. A scholar is included among the top collaborators of Changcai 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 Changcai Yang. Changcai Yang 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.
2.
Zhuang, Fengyuan, et al.. (2024). PMA-Net: Progressive multi-stage adaptive feature learning for two-view correspondence. Knowledge-Based Systems. 298. 111927–111927. 4 indexed citations
3.
Yang, Changcai, Jiayi Ma, Fengyuan Zhuang, et al.. (2024). CGR-Net: Consistency Guided ResFormer for Two-View Correspondence Learning. IEEE Transactions on Circuits and Systems for Video Technology. 34(12). 12450–12465. 1 indexed citations
4.
Lan, Ziyang, Fengyuan Zhuang, Zhijie Lin, et al.. (2024). MFO-Net: A Multiscale Feature Optimization Network for UAV Image Object Detection. IEEE Geoscience and Remote Sensing Letters. 21. 1–5. 9 indexed citations
5.
Liu, Xiumei, et al.. (2024). Dual-View Connectivity Analysis via Dynamic Graph Transformer Network for ASD Diagnosis. 1–5. 1 indexed citations
6.
Zhuang, Fengyuan, Yizhang Liu, Ji Zhou, et al.. (2024). MGCNet: Multi-granularity consensus network for remote sensing image correspondence pruning. ISPRS Journal of Photogrammetry and Remote Sensing. 219. 38–51.
7.
Yang, Changcai, Zhijie Lin, Ziyang Lan, et al.. (2024). Evolutionary channel pruning for real-time object detection. Knowledge-Based Systems. 287. 111432–111432. 4 indexed citations
8.
Liu, Xiumei, Renping Yu, Taotao Lai, et al.. (2024). Dynamic graph transformer network via dual-view connectivity for autism spectrum disorder identification. Computers in Biology and Medicine. 174. 108415–108415. 4 indexed citations
9.
Zhong, Yu Lin, et al.. (2024). Pepper-YOLO: an lightweight model for green pepper detection and picking point localization in complex environments. Frontiers in Plant Science. 15. 1508258–1508258. 3 indexed citations
10.
11.
Lai, Taotao, et al.. (2023). MCRformer: Morphological constraint reticular transformer for 3D medical image segmentation. Expert Systems with Applications. 232. 120877–120877. 18 indexed citations
12.
Yang, Changcai, et al.. (2022). MC-UNet: Multimodule Concatenation Based on U-Shape Network for Retinal Blood Vessels Segmentation. Computational Intelligence and Neuroscience. 2022. 1–10. 11 indexed citations
13.
Lan, Ziyang, et al.. (2022). UCR-Net: U-shaped context residual network for medical image segmentation. Computers in Biology and Medicine. 151(Pt A). 106203–106203. 23 indexed citations
14.
Liu, Yizhang, Jiayi Ma, Lifang Wei, et al.. (2022). MS2DG-Net: Progressive Correspondence Learning via Multiple Sparse Semantics Dynamic Graph. 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR). 8963–8972. 51 indexed citations
15.
Liu, Yizhang, et al.. (2021). Motion Consistency-Based Correspondence Growing for Remote Sensing Image Matching. IEEE Geoscience and Remote Sensing Letters. 19. 1–5. 16 indexed citations
16.
Wang, Jian, Bizhi Wu, Markus V. Kohnen, et al.. (2021). Classification of Rice Yield Using UAV-Based Hyperspectral Imagery and Lodging Feature. Plant Phenomics. 2021. 9765952–9765952. 28 indexed citations
17.
Zhang, Zejun, Huabing Zhou, Riqing Chen, et al.. (2019). SAR Image Segmentation Using Hierarchical Region Merging With Orientated Edge Strength Weighted Kuiper’s Distance. IEEE Access. 7. 84479–84496. 6 indexed citations
18.
Lai, Taotao, Riqing Chen, Changcai Yang, et al.. (2019). Efficient Robust Model Fitting for Multistructure Data Using Global Greedy Search. IEEE Transactions on Cybernetics. 50(7). 3294–3306. 29 indexed citations
19.
Lai, Taotao, Hamido Fujita, Changcai Yang, Qiming Li, & Riqing Chen. (2018). Robust Model Fitting Based on Greedy Search and Specified Inlier Threshold. IEEE Transactions on Industrial Electronics. 66(10). 7956–7966. 19 indexed citations
20.
Chen, Riqing, et al.. (2017). Adaptive parallel Delaunay triangulation construction with dynamic pruned binary tree model in Cloud. Concurrency and Computation Practice and Experience. 29(24). 1 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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