Xiangde Luo

7.3k total citations · 3 hit papers
31 papers, 1.4k citations indexed

About

Xiangde Luo is a scholar working on Radiology, Nuclear Medicine and Imaging, Artificial Intelligence and Computer Vision and Pattern Recognition. According to data from OpenAlex, Xiangde Luo has authored 31 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Radiology, Nuclear Medicine and Imaging, 19 papers in Artificial Intelligence and 17 papers in Computer Vision and Pattern Recognition. Recurrent topics in Xiangde Luo's work include Radiomics and Machine Learning in Medical Imaging (15 papers), Advanced Neural Network Applications (15 papers) and AI in cancer detection (14 papers). Xiangde Luo is often cited by papers focused on Radiomics and Machine Learning in Medical Imaging (15 papers), Advanced Neural Network Applications (15 papers) and AI in cancer detection (14 papers). Xiangde Luo collaborates with scholars based in China, United States and United Kingdom. Xiangde Luo's co-authors include Jieneng Chen, Tao Song, Guotai Wang, Shaoting Zhang, Guotai Wang, Tao Song, Wenjun Liao, Dimitris Metaxas, Xinxing Xu and Shaohua Li and has published in prestigious journals such as Scientific Reports, International Journal of Radiation Oncology*Biology*Physics and IEEE Transactions on Medical Imaging.

In The Last Decade

Xiangde Luo

28 papers receiving 1.4k citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Semi-supervised Medical Image Segmentation through Dual-task Consistency

2021 365 citations Xiangde Luo, Jieneng Chen et al. profile →
TransUNet: Rethinking the U-Net architecture design for medical image segmentation through the lens of transformers

2024 287 citations Jieneng Chen, Jieru Mei et al. Medical Image Analysis profile →
Semi-supervised medical image segmentation via uncertainty rectified pyramid consistency

2022 194 citations Xiangde Luo, Guotai Wang et al. Medical Image Analysis profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Xiangde Luo China	13	858	616	593	286	233	31	1.4k
Ali Hatamizadeh United States	9	1.1k 1.3×	810 1.3×	715 1.2×	444 1.6×	344 1.5×	14	2.0k
Yuting He China	12	512 0.6×	449 0.7×	348 0.6×	125 0.4×	262 1.1×	36	1.3k
Kelei He China	16	441 0.5×	580 0.9×	369 0.6×	134 0.5×	210 0.9×	25	1.1k
Mohammad Hesam Hesamian Australia	5	445 0.5×	517 0.8×	378 0.6×	150 0.5×	224 1.0×	11	1.3k
Rosalind Pratt United Kingdom	8	527 0.6×	405 0.7×	350 0.6×	179 0.6×	198 0.8×	15	1.1k
Jai Prashanth Rao Singapore	8	356 0.4×	555 0.9×	515 0.9×	219 0.8×	190 0.8×	19	1.3k
Reza Azad Germany	11	635 0.7×	480 0.8×	441 0.7×	253 0.9×	195 0.8×	28	1.4k
Lin Han China	12	426 0.5×	380 0.6×	372 0.6×	109 0.4×	147 0.6×	50	1.2k
Justin Ker Singapore	5	356 0.4×	537 0.9×	513 0.9×	214 0.7×	176 0.8×	6	1.3k
Shadi Albarqouni Germany	17	577 0.7×	706 1.1×	1.0k 1.7×	112 0.4×	161 0.7×	49	1.6k

Countries citing papers authored by Xiangde Luo

Since Specialization

Citations

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

Fields of papers citing papers by Xiangde Luo

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Xiangde Luo

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

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

Chen, Jian, Yuan He, Jinfeng Xu, et al.. (2025). Versatile Source-Free Active Domain Adaptation for multi-center and multi-rater medical image segmentation. Information Fusion. 126. 103586–103586.

Chen, Yong, et al.. (2025). Source-Free Active Domain Adaptation via Influential-Points-Guided Progressive Teacher for Medical Image Segmentation. IEEE Transactions on Medical Imaging. 45(3). 1223–1236. 1 indexed citations

Chen, Jian, et al.. (2024). Dual-Reference Source-Free Active Domain Adaptation for Nasopharyngeal Carcinoma Tumor Segmentation Across Multiple Hospitals. IEEE Transactions on Medical Imaging. 43(12). 4078–4090. 14 indexed citations

Li, Zhongyu, Xiangde Luo, Peng Huang, et al.. (2024). Ultrasound Nodule Segmentation Using Asymmetric Learning With Simple Clinical Annotation. IEEE Transactions on Circuits and Systems for Video Technology. 34(10). 9010–9023. 4 indexed citations

Luo, Xiangde, et al.. (2024). Weakly Supervised Lymph Nodes Segmentation Based on Partial Instance Annotations with Pre-trained Dual-branch Network and Pseudo Label Learning. arXiv (Cornell University). 2(MICCAI 2023 LNQ challenge). 1030–1047. 1 indexed citations

Wu, Yicheng, Yutong Xie, Xiangde Luo, Qi Wu, & Jianfei Cai. (2024). Dataset, Challenge, and Evaluation for Tumor Segmentation Variability. 11302–11303.

Luo, Xiangde, Yue Zhao, Jinfeng Xu, et al.. (2024). A multicenter dataset for lymph node clinical target volume delineation of nasopharyngeal carcinoma. Scientific Data. 11(1). 1085–1085. 3 indexed citations

Luo, Xiangde, et al.. (2024). DMSPS: Dynamically mixed soft pseudo-label supervision for scribble-supervised medical image segmentation. Medical Image Analysis. 97. 103274–103274. 8 indexed citations

Luo, Xiangde, et al.. (2024). Semi-supervised pathological image segmentation via cross distillation of multiple attentions and Seg-CAM consistency. Pattern Recognition. 152. 110492–110492. 7 indexed citations

10.

Chen, Jieneng, Jieru Mei, Xianhang Li, et al.. (2024). TransUNet: Rethinking the U-Net architecture design for medical image segmentation through the lens of transformers. Medical Image Analysis. 97. 103280–103280. 287 indexed citations breakdown →

11.

Wu, Yicheng, Xiangde Luo, Zhe Xu, et al.. (2024). Diversified and Personalized Multi-Rater Medical Image Segmentation. 11470–11479. 9 indexed citations

12.

Xu, Zhe, Yixin Wang, Donghuan Lu, et al.. (2023). Ambiguity-selective consistency regularization for mean-teacher semi-supervised medical image segmentation. Medical Image Analysis. 88. 102880–102880. 83 indexed citations

13.

Wang, Guotai, et al.. (2023). PA-Seg: Learning From Point Annotations for 3D Medical Image Segmentation Using Contextual Regularization and Cross Knowledge Distillation. IEEE Transactions on Medical Imaging. 42(8). 2235–2246. 22 indexed citations

14.

Wang, Guotai, et al.. (2023). PyMIC: A deep learning toolkit for annotation-efficient medical image segmentation. Computer Methods and Programs in Biomedicine. 231. 107398–107398. 28 indexed citations

15.

Li, Zihan, et al.. (2023). ScribbleVC: Scribble-supervised Medical Image Segmentation with Vision-Class Embedding. 3384–3393. 15 indexed citations

16.

Wang, Guotai, Hui Sun, Xiangde Luo, et al.. (2022). Learning COVID-19 Pneumonia Lesion Segmentation From Imperfect Annotations via Divergence-Aware Selective Training. IEEE Journal of Biomedical and Health Informatics. 26(8). 3673–3684. 10 indexed citations

17.

Luo, Xiangde, Guotai Wang, Wenjun Liao, et al.. (2022). Semi-supervised medical image segmentation via uncertainty rectified pyramid consistency. Medical Image Analysis. 80. 102517–102517. 194 indexed citations breakdown →

18.

Luo, Xiangde, Wenjun Liao, Jianghong Xiao, et al.. (2022). WORD: A large scale dataset, benchmark and clinical applicable study for abdominal organ segmentation from CT image. Medical Image Analysis. 82. 102642–102642. 75 indexed citations

19.

Luo, Xiangde, Guotai Wang, Tao Song, et al.. (2021). MIDeepSeg: Minimally interactive segmentation of unseen objects from medical images using deep learning. Medical Image Analysis. 72. 102102–102102. 75 indexed citations

20.

Luo, Xiangde, Wenjun Liao, Jieneng Chen, et al.. (2020). Semi-supervised Segmentation via Uncertainty Rectified Pyramid Consistency and Its Application to Gross Target Volume of Nasopharyngeal Carcinoma.. arXiv (Cornell University). 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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