Dehui Xiang

2.9k total citations · 1 hit paper
100 papers, 2.0k citations indexed

About

Dehui Xiang is a scholar working on Radiology, Nuclear Medicine and Imaging, Computer Vision and Pattern Recognition and Ophthalmology. According to data from OpenAlex, Dehui Xiang has authored 100 papers receiving a total of 2.0k indexed citations (citations by other indexed papers that have themselves been cited), including 74 papers in Radiology, Nuclear Medicine and Imaging, 49 papers in Computer Vision and Pattern Recognition and 36 papers in Ophthalmology. Recurrent topics in Dehui Xiang's work include Retinal Imaging and Analysis (52 papers), Medical Image Segmentation Techniques (29 papers) and Glaucoma and retinal disorders (21 papers). Dehui Xiang is often cited by papers focused on Retinal Imaging and Analysis (52 papers), Medical Image Segmentation Techniques (29 papers) and Glaucoma and retinal disorders (21 papers). Dehui Xiang collaborates with scholars based in China, Hong Kong and United States. Dehui Xiang's co-authors include Xinjian Chen, Fei Shi, Weifang Zhu, Yuhui Ma, Xuena Cheng, Heming Zhao, Meng Wang, Shuanglang Feng, Haoyu Chen and Bin Zhang and has published in prestigious journals such as PLoS ONE, IEEE Transactions on Pattern Analysis and Machine Intelligence and Scientific Reports.

In The Last Decade

Dehui Xiang

95 papers receiving 2.0k citations

Hit Papers

CPFNet: Context Pyramid Fusion Network for Medical Image ... 2020 2026 2022 2024 2020 100 200 300 400

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Dehui Xiang China 21 1.3k 885 602 526 441 100 2.0k
Weifang Zhu China 23 1.5k 1.2× 903 1.0× 688 1.1× 805 1.5× 420 1.0× 124 2.3k
Yuhui Ma China 14 692 0.6× 573 0.6× 406 0.7× 262 0.5× 279 0.6× 36 1.4k
Dwarikanath Mahapatra Switzerland 23 905 0.7× 1.1k 1.2× 207 0.3× 352 0.7× 464 1.1× 87 1.8k
Debdoot Sheet India 16 751 0.6× 650 0.7× 371 0.6× 343 0.7× 329 0.7× 80 1.4k
Gwenolé Quellec France 30 2.7k 2.2× 1.6k 1.8× 283 0.5× 2.0k 3.8× 646 1.5× 88 3.8k
Jeny Rajan India 26 921 0.7× 884 1.0× 260 0.4× 273 0.5× 257 0.6× 84 1.9k
Sérgio Pereira Portugal 19 1.2k 0.9× 1.6k 1.8× 356 0.6× 190 0.4× 892 2.0× 34 3.0k
Qiangguo Jin China 10 703 0.6× 663 0.7× 113 0.2× 262 0.5× 355 0.8× 32 1.3k
Jorge Novo Spain 22 1.1k 0.8× 341 0.4× 293 0.5× 605 1.2× 293 0.7× 142 1.7k

Countries citing papers authored by Dehui Xiang

Since Specialization
Citations

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

Fields of papers citing papers by Dehui Xiang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Dehui Xiang

This figure shows the co-authorship network connecting the top 25 collaborators of Dehui Xiang. A scholar is included among the top collaborators of Dehui Xiang 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 Dehui Xiang. Dehui Xiang 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, Jingtao, Muhammad Mateen, Dehui Xiang, et al.. (2025). Task Augmentation-Based Meta-Learning Segmentation Method for Retinopathy. IEEE Transactions on Pattern Analysis and Machine Intelligence. 47(10). 8583–8597.
2.
Bian, Yun, Weifang Zhu, Fei Shi, et al.. (2024). Style Consistency Unsupervised Domain Adaptation Medical Image Segmentation. IEEE Transactions on Image Processing. 33. 4882–4895. 1 indexed citations
3.
Peng, Tao, Haoyu Chen, Weifang Zhu, et al.. (2024). Dual-Spatial Domain Generalization for Fundus Lesion Segmentation in Unseen Manufacturer's OCT Images. IEEE Transactions on Biomedical Engineering. 71(9). 2789–2799. 1 indexed citations
4.
Xiang, Dehui, Tao Peng, Yun Bian, et al.. (2024). Unpaired Dual-Modal Image Complementation Learning for Single-Modal Medical Image Segmentation. IEEE Transactions on Biomedical Engineering. 72(2). 664–674.
5.
Xiang, Dehui, et al.. (2023). Pancreatic CT image segmentation based on transfer learning. 14. 51–51.
6.
村上, 靖彦, et al.. (2023). Relationship between abnormal intrinsic functional connectivity of subcortices and autism symptoms in high-functioning adults with autism spectrum disorder. Psychiatry Research Neuroimaging. 337. 111762–111762. 2 indexed citations
7.
Wang, Meng, Weifang Zhu, Yi Zhou, et al.. (2023). Self-Guided Optimization Semi-Supervised Method for Joint Segmentation of Macular Hole and Cystoid Macular Edema in Retinal OCT Images. IEEE Transactions on Biomedical Engineering. 70(7). 2013–2024. 9 indexed citations
8.
Liu, Ao, Hui Jiang, Weiwei Cao, et al.. (2023). MLAGG-Net: Multi-level aggregation and global guidance network for pancreatic lesion segmentation in histopathological images. Biomedical Signal Processing and Control. 86. 105303–105303. 2 indexed citations
9.
Chen, Xinjian, et al.. (2023). Interactive Skin Wound Segmentation Based on Feature Augment Networks. IEEE Journal of Biomedical and Health Informatics. 27(7). 3467–3477. 4 indexed citations
10.
Zhou, Jun, Jiule Ding, Jie Chen, et al.. (2022). Association between Quantitative Classification of Renal Surface Nodularity and Early Renal Injury in Patients with Arterial Hypertension. International Journal of Hypertension. 2022. 1–7. 3 indexed citations
11.
Chen, Xinjian, et al.. (2022). Multi-class retinal fluid joint segmentation based on cascaded convolutional neural networks. Physics in Medicine and Biology. 67(12). 125018–125018. 2 indexed citations
12.
Chen, Xinjian, Fei Shi, Dehui Xiang, et al.. (2022). Global and Local Feature Reconstruction for Medical Image Segmentation. IEEE Transactions on Medical Imaging. 41(9). 2273–2284. 53 indexed citations
13.
Xiang, Dehui, et al.. (2022). Semi-Supervised Dual Stream Segmentation Network for Fundus Lesion Segmentation. IEEE Transactions on Medical Imaging. 42(3). 713–725. 13 indexed citations
14.
Zhang, Lu, Yunhe Ding, Xinjian Chen, et al.. (2021). In vivo fluorescence molecular imaging of the vascular endothelial growth factor in rats with early diabetic retinopathy. Biomedical Optics Express. 12(11). 7185–7185. 4 indexed citations
15.
Yang, Changqing, Xinxin Zhou, Weifang Zhu, et al.. (2021). Multi-Discriminator Adversarial Convolutional Network for Nerve Fiber Segmentation in Confocal Corneal Microscopy Images. IEEE Journal of Biomedical and Health Informatics. 26(2). 648–659. 13 indexed citations
16.
Pan, Lingjiao, Fei Shi, Dehui Xiang, et al.. (2020). OCTRexpert: A Feature-Based 3D Registration Method for Retinal OCT Images. IEEE Transactions on Image Processing. 29(1). 3885–3897. 20 indexed citations
17.
Feng, Shuanglang, Heming Zhao, Fei Shi, et al.. (2020). CPFNet: Context Pyramid Fusion Network for Medical Image Segmentation. IEEE Transactions on Medical Imaging. 39(10). 3008–3018. 455 indexed citations breakdown →
18.
Chen, Geng, Dehui Xiang, Bin Zhang, et al.. (2019). Automatic Pathological Lung Segmentation in Low-Dose CT Image Using Eigenspace Sparse Shape Composition. IEEE Transactions on Medical Imaging. 38(7). 1736–1749. 31 indexed citations
19.
Chen, Xinjian, Weifang Zhu, Liyun Wang, et al.. (2014). Automated Detection of IS/OS Defect Regions in 3D OCT Images. Investigative Ophthalmology & Visual Science. 55(13). 4801–4801. 1 indexed citations
20.
Zheng, Jian, et al.. (2013). Retinal Image Graph-Cut Segmentation Algorithm Using Multiscale Hessian-Enhancement-Based Nonlocal Mean Filter. Computational and Mathematical Methods in Medicine. 2013. 1–7. 7 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

Rankless by CCL
2026