Changsheng Lu

431 total citations
16 papers, 243 citations indexed

About

Changsheng Lu is a scholar working on Computer Vision and Pattern Recognition, Media Technology and Artificial Intelligence. According to data from OpenAlex, Changsheng Lu has authored 16 papers receiving a total of 243 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Computer Vision and Pattern Recognition, 5 papers in Media Technology and 4 papers in Artificial Intelligence. Recurrent topics in Changsheng Lu's work include Image and Object Detection Techniques (5 papers), Image Processing and 3D Reconstruction (4 papers) and Image Processing Techniques and Applications (4 papers). Changsheng Lu is often cited by papers focused on Image and Object Detection Techniques (5 papers), Image Processing and 3D Reconstruction (4 papers) and Image Processing Techniques and Applications (4 papers). Changsheng Lu collaborates with scholars based in China, Australia and United States. Changsheng Lu's co-authors include Siyu Xia, Ming Shao, Yun Fu, Chaochen Gu, Kaijie Wu, Piotr Koniusz, Xinping Guan, Haotian Wang, Enmei Tu and Hao Zheng and has published in prestigious journals such as IEEE Transactions on Image Processing, Remote Sensing and Neurocomputing.

In The Last Decade

Changsheng Lu

15 papers receiving 233 citations

Peers

Changsheng Lu
Tak-Wai Hui Hong Kong
Dae-Hwan Kim South Korea
Sergi Caelles Switzerland
Tak-Wai Hui Hong Kong
Changsheng Lu
Citations per year, relative to Changsheng Lu Changsheng Lu (= 1×) peers Tak-Wai Hui

Countries citing papers authored by Changsheng Lu

Since Specialization
Citations

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

Fields of papers citing papers by Changsheng Lu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Changsheng Lu

This figure shows the co-authorship network connecting the top 25 collaborators of Changsheng Lu. A scholar is included among the top collaborators of Changsheng Lu 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 Changsheng Lu. Changsheng Lu is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

16 of 16 papers shown
1.
Wang, Xin, Wentao Du, Jizu Chen, et al.. (2024). Spatiotemporal Variation in Aerosol Optical Depth and Its Potential Effects on Snowmelt in High Mountain Asia from 2004 to 2023. Remote Sensing. 16(23). 4410–4410.
2.
Lu, Changsheng, et al.. (2024). Few-shot Shape Recognition by Learning Deep Shape-aware Features. 1837–1848. 1 indexed citations
3.
Wu, Kaijie, et al.. (2023). An Oriented Object Detector towards Diatoms. 1–8. 3 indexed citations
4.
Gu, Chaochen, et al.. (2022). Industrial Scene Text Detection With Refined Feature-Attentive Network. IEEE Transactions on Circuits and Systems for Video Technology. 32(9). 6073–6085. 29 indexed citations
5.
Lu, Changsheng, et al.. (2022). Mask removal : Face inpainting via attributes. Multimedia Tools and Applications. 81(21). 29785–29797. 11 indexed citations
6.
Gu, Chaochen, et al.. (2022). Segmentation based 6D pose estimation using integrated shape pattern and RGB information. Pattern Analysis and Applications. 25(4). 1055–1073. 1 indexed citations
7.
Lu, Changsheng & Piotr Koniusz. (2022). Few-shot Keypoint Detection with Uncertainty Learning for Unseen Species. 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR). 19394–19404. 15 indexed citations
8.
Lu, Changsheng, et al.. (2021). Domain Adaptation for Viewpoint Estimation with Image Generation. 341–346. 5 indexed citations
9.
Lu, Changsheng, Chaochen Gu, Kaijie Wu, et al.. (2020). Deep transfer neural network using hybrid representations of domain discrepancy. Neurocomputing. 409. 60–73. 16 indexed citations
10.
Lu, Changsheng, Siyu Xia, Ming Shao, & Yun Fu. (2019). Arc-Support Line Segments Revisited: An Efficient High-Quality Ellipse Detection. IEEE Transactions on Image Processing. 29. 768–781. 107 indexed citations
11.
Zhao, Shuxin, et al.. (2019). PointDoN: A Shape Pattern Aggregation Module for Deep Learning on Point Cloud. 1–8. 2 indexed citations
12.
Lu, Changsheng, et al.. (2019). Viewpoint Estimation using Triplet Loss with A Novel Viewpoint-based Input Selection Strategy. Journal of Physics Conference Series. 1207. 12009–12009. 1 indexed citations
13.
Chen, Mingjian, Hao Zheng, Changsheng Lu, et al.. (2019). Accurate breast lesion segmentation by exploiting spatio-temporal information with deep recurrent and convolutional network. Journal of Ambient Intelligence and Humanized Computing. 14(12). 15609–15617. 4 indexed citations
14.
Lu, Changsheng, Siyu Xia, Ming Shao, & Yun Fu. (2018). High-quality Ellipse Detection Based on Arc-support Line Segments.. arXiv (Cornell University). 3 indexed citations
15.
Lu, Changsheng, et al.. (2017). Circle detection by arc-support line segments. 76–80. 36 indexed citations
16.
Lu, Changsheng, et al.. (2001). Approximate BER performance of generalized selection combining in Nakagami-m fading. IEEE Communications Letters. 5(6). 254–256. 9 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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