Changyang Li

1.0k total citations
35 papers, 734 citations indexed

About

Changyang Li is a scholar working on Computer Vision and Pattern Recognition, Radiology, Nuclear Medicine and Imaging and Artificial Intelligence. According to data from OpenAlex, Changyang Li has authored 35 papers receiving a total of 734 indexed citations (citations by other indexed papers that have themselves been cited), including 28 papers in Computer Vision and Pattern Recognition, 11 papers in Radiology, Nuclear Medicine and Imaging and 6 papers in Artificial Intelligence. Recurrent topics in Changyang Li's work include Medical Image Segmentation Techniques (17 papers), Advanced Neural Network Applications (9 papers) and Advanced Image and Video Retrieval Techniques (9 papers). Changyang Li is often cited by papers focused on Medical Image Segmentation Techniques (17 papers), Advanced Neural Network Applications (9 papers) and Advanced Image and Video Retrieval Techniques (9 papers). Changyang Li collaborates with scholars based in Australia, China and Hong Kong. Changyang Li's co-authors include Dagan Feng, Jinman Kim, Michael Fulham, Weidong Cai, Yuchen Yuan, Xiuying Wang, Euijoon Ahn, Ashnil Kumar, Lei Bi and Jinman Kim and has published in prestigious journals such as IEEE Transactions on Image Processing, IEEE Transactions on Biomedical Engineering and BMC Bioinformatics.

In The Last Decade

Changyang Li

35 papers receiving 717 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Changyang Li Australia 14 389 208 153 141 97 35 734
Yunbo Guo China 9 394 1.0× 461 2.2× 322 2.1× 140 1.0× 54 0.6× 28 872
Cesare Valenti Italy 14 242 0.6× 54 0.3× 130 0.8× 60 0.4× 52 0.5× 56 610
Chaoyi Zhang Australia 16 249 0.6× 161 0.8× 208 1.4× 22 0.2× 57 0.6× 57 787
Nianyi Li United States 14 615 1.6× 78 0.4× 68 0.4× 24 0.2× 42 0.4× 35 939
Lichao Wang Germany 6 245 0.6× 395 1.9× 236 1.5× 83 0.6× 70 0.7× 9 696
Fengying Xie China 14 269 0.7× 355 1.7× 53 0.3× 509 3.6× 112 1.2× 23 839
Aledir Silveira Pereira Brazil 10 194 0.5× 314 1.5× 103 0.7× 386 2.7× 100 1.0× 24 662
K. Gopalakrishna Prabhu India 16 181 0.5× 147 0.7× 179 1.2× 180 1.3× 180 1.9× 40 728
Vivek Kumar Singh United States 16 225 0.6× 356 1.7× 274 1.8× 96 0.7× 76 0.8× 45 688
Fujun Liu United States 10 301 0.8× 439 2.1× 246 1.6× 68 0.5× 78 0.8× 21 870

Countries citing papers authored by Changyang Li

Since Specialization
Citations

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

Fields of papers citing papers by Changyang Li

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Changyang Li

This figure shows the co-authorship network connecting the top 25 collaborators of Changyang Li. A scholar is included among the top collaborators of Changyang Li 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 Changyang Li. Changyang Li 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.
Ma, Benteng, et al.. (2023). Federated adaptive reweighting for medical image classification. Pattern Recognition. 144. 109880–109880. 9 indexed citations
2.
He, Jiang, Qin Liu, Geng Chen, et al.. (2023). Hierarchical cumulative network for unsupervised medical image registration. Computers in Biology and Medicine. 167. 107598–107598. 4 indexed citations
3.
Xuan, Ping, Hui Cui, Qiangguo Jin, et al.. (2022). Graph based multi-scale neighboring topology deep learning for kidney and tumor segmentation. Physics in Medicine and Biology. 67(22). 225018–225018. 6 indexed citations
4.
Ahn, Euijoon, Jinman Kim, Lei Bi, et al.. (2017). Saliency-Based Lesion Segmentation Via Background Detection in Dermoscopic Images. IEEE Journal of Biomedical and Health Informatics. 21(6). 1685–1693. 110 indexed citations
5.
Xu, Yupeng, Ke Yan, Jinman Kim, et al.. (2017). Dual-stage deep learning framework for pigment epithelium detachment segmentation in polypoidal choroidal vasculopathy. Biomedical Optics Express. 8(9). 4061–4061. 49 indexed citations
6.
Fu, Peng, Changyang Li, Weidong Cai, & Quansen Sun. (2017). A spatially cohesive superpixel model for image noise level estimation. Neurocomputing. 266. 420–432. 11 indexed citations
7.
Yuan, Yuchen, Changyang Li, Jinman Kim, Weidong Cai, & Dagan Feng. (2017). Reversion Correction and Regularized Random Walk Ranking for Saliency Detection. IEEE Transactions on Image Processing. 27(3). 1311–1322. 128 indexed citations
8.
Yuan, Yuchen, Changyang Li, Jinman Kim, Weidong Cai, & Dagan Feng. (2016). Dense and Sparse Labeling With Multidimensional Features for Saliency Detection. IEEE Transactions on Circuits and Systems for Video Technology. 28(5). 1130–1143. 25 indexed citations
9.
Li, Changyang, et al.. (2016). A combinatorial Bayesian and Dirichlet model for prostate MR image segmentation using probabilistic image features. Physics in Medicine and Biology. 61(16). 6085–6104. 3 indexed citations
10.
Kumar, Ashnil, Jinman Kim, Changyang Li, et al.. (2016). Adapting content-based image retrieval techniques for the semantic annotation of medical images. Computerized Medical Imaging and Graphics. 49. 37–45. 37 indexed citations
11.
Yan, Ke, Changyang Li, Xiuying Wang, et al.. (2016). Automatic prostate segmentation on MR images with deep network and graph model. PubMed. 2012. 635–638. 15 indexed citations
12.
Huang, Robin, Lei Bi, Changyang Li, et al.. (2015). A Locally Constrained Random Walk Approach for Airway Segmentation of Low-Contrast Computed Tomography (CT) Image. 28. 1–7. 1 indexed citations
13.
Kumar, Ashnil, et al.. (2014). Automatic Annotation of Liver CT Images: the Submission of the BMET Group to ImageCLEFmed 2014. CLEF (Working Notes). 428–437. 5 indexed citations
14.
Fu, Peng, Changyang Li, Quansen Sun, Weidong Cai, & Dagan Feng. (2014). Image noise level estimation based on a new adaptive superpixel classification. 31. 2649–2653. 6 indexed citations
15.
Li, Changyang, Xiuying Wang, Stefan Eberl, Michael Fulham, & Dagan Feng. (2013). A New Energy Framework With Distribution Descriptors for Image Segmentation. IEEE Transactions on Image Processing. 22(9). 3578–3590. 11 indexed citations
16.
Li, Ang, Changyang Li, Xiuying Wang, et al.. (2013). Automated Segmentation of Prostate MR Images Using Prior Knowledge Enhanced Random Walker. 1–7. 12 indexed citations
17.
Li, Changyang, Xiuying Wang, Stefan Eberl, Michael Fulham, & Dagan Feng. (2013). Corrections to “Robust Model for Segmenting Images With/Without Intensity Inhomogeneities” [Aug. 13 3296-3309]. IEEE Transactions on Image Processing. 22(9). 3729–3729. 3 indexed citations
18.
Li, Changyang, et al.. (2011). Automated PET-guided liver segmentation from low-contrast CT volumes using probabilistic atlas. Computer Methods and Programs in Biomedicine. 107(2). 164–174. 16 indexed citations
19.
Li, Changyang, Xiuying Wang, Stefan Eberl, et al.. (2010). Fully automated liver segmentation for low- and high- contrast CT volumes based on probabilistic atlases. PolyU Institutional Research Archive (Hong Kong Polytechnic University). 1733–1736. 13 indexed citations
20.
Wang, Xiuying, Changyang Li, Michael Fulham, Stefan Eberl, & Dagan Feng. (2009). PET-enhanced liver segmentation for CT images from combined PET-CT scanners. PolyU Institutional Research Archive (Hong Kong Polytechnic University). 4578. 2756–2759. 3 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.

Explore authors with similar magnitude of impact

Breakdown of academic impact, for papers by Yunbo Guo Breakdown of academic impact, for papers by Cesare Valenti Breakdown of academic impact, for papers by Chaoyi Zhang Breakdown of academic impact, for papers by Nianyi Li Breakdown of academic impact, for papers by Lichao Wang Breakdown of academic impact, for papers by Fengying Xie Breakdown of academic impact, for papers by Aledir Silveira Pereira Breakdown of academic impact, for papers by K. Gopalakrishna Prabhu Breakdown of academic impact, for papers by Vivek Kumar Singh Breakdown of academic impact, for papers by Fujun Liu
Rankless by CCL
2026