Xiaodan Sui

692 total citations
20 papers, 240 citations indexed

About

Xiaodan Sui is a scholar working on Radiology, Nuclear Medicine and Imaging, Computer Vision and Pattern Recognition and Artificial Intelligence. According to data from OpenAlex, Xiaodan Sui has authored 20 papers receiving a total of 240 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Radiology, Nuclear Medicine and Imaging, 6 papers in Computer Vision and Pattern Recognition and 6 papers in Artificial Intelligence. Recurrent topics in Xiaodan Sui's work include Retinal Imaging and Analysis (7 papers), Radiomics and Machine Learning in Medical Imaging (6 papers) and AI in cancer detection (6 papers). Xiaodan Sui is often cited by papers focused on Retinal Imaging and Analysis (7 papers), Radiomics and Machine Learning in Medical Imaging (6 papers) and AI in cancer detection (6 papers). Xiaodan Sui collaborates with scholars based in China, United States and Hong Kong. Xiaodan Sui's co-authors include Yuanjie Zheng, Shaoting Zhang, Benzheng Wei, Xuemei Pan, Hongsheng Bi, Jianfeng Wu, Yanyun Jiang, Hongsheng Li, Jie Yang and Yanhui Ding and has published in prestigious journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, NeuroImage and Frontiers in Microbiology.

In The Last Decade

Xiaodan Sui

18 papers receiving 238 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Xiaodan Sui China 8 128 81 66 64 49 20 240
Preetham Kumar India 11 218 1.7× 201 2.5× 118 1.8× 29 0.5× 96 2.0× 40 405
Tati Rajab Mengko Indonesia 7 133 1.0× 130 1.6× 64 1.0× 43 0.7× 41 0.8× 36 289
Filipe Soares Portugal 9 156 1.2× 83 1.0× 96 1.5× 10 0.2× 55 1.1× 26 269
Pradeep Chowriappa United States 8 263 2.1× 156 1.9× 183 2.8× 19 0.3× 84 1.7× 14 383
Gabriel Efrain Humpire Mamani Netherlands 5 86 0.7× 141 1.7× 7 0.1× 47 0.7× 78 1.6× 6 282
Mostafa El Habib Daho Algeria 9 107 0.8× 69 0.9× 11 0.2× 27 0.4× 124 2.5× 34 285
Sourodip Ghosh India 7 138 1.1× 110 1.4× 11 0.2× 28 0.4× 111 2.3× 11 265

Countries citing papers authored by Xiaodan Sui

Since Specialization
Citations

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

Fields of papers citing papers by Xiaodan Sui

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Xiaodan Sui

This figure shows the co-authorship network connecting the top 25 collaborators of Xiaodan Sui. A scholar is included among the top collaborators of Xiaodan Sui 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 Xiaodan Sui. Xiaodan Sui 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, Song, et al.. (2025). Hua Zheng San Ji Fang promotes ferroptosis through Keap1/Nrf2 pathway in hepatocellular carcinoma cells. Journal of Ethnopharmacology. 352. 120165–120165.
2.
Xiong, Zhuang, Xiaodan Sui, Yu Bai, et al.. (2025). Hua Zheng San Ji Fang suppresses liver cancer progression by inhibiting TYRO3 expression via the ERK signaling pathway. Phytomedicine. 139. 156497–156497. 1 indexed citations
3.
Ding, Yanhui, et al.. (2024). RS2-Net: An end-to-end deep learning framework for rodent skull stripping in multi-center brain MRI. NeuroImage. 298. 120769–120769. 1 indexed citations
4.
Ge, Xinting, et al.. (2024). WSSS-CRAM: precise segmentation of histopathological images via class region activation mapping. Frontiers in Microbiology. 15. 1483052–1483052. 1 indexed citations
5.
Liu, Mengting, Jianfeng Zhang, Shujuan Liu, et al.. (2024). The effect of preterm birth on thalamic development based on shape and structural covariance analysis. NeuroImage. 297. 120708–120708. 3 indexed citations
6.
Zhou, Huiyu, et al.. (2024). Transformaer‐based model for lung adenocarcinoma subtypes. Medical Physics. 51(8). 5337–5350. 1 indexed citations
7.
Jiang, Yanyun, Xiaodan Sui, Yanhui Ding, et al.. (2023). A semi-supervised learning approach with consistency regularization for tumor histopathological images analysis. Frontiers in Oncology. 12. 1044026–1044026. 8 indexed citations
8.
Jiang, Yanyun, Shuai Ma, Wei Xiao, et al.. (2023). Predicting EGFR gene mutation status in lung adenocarcinoma based on multifeature fusion. Biomedical Signal Processing and Control. 84. 104786–104786. 6 indexed citations
9.
Xiao, Wei, Yanyun Jiang, Zhigang Yao, et al.. (2022). LAD-GCN: Automatic diagnostic framework for quantitative estimation of growth patterns during clinical evaluation of lung adenocarcinoma. Frontiers in Physiology. 13. 946099–946099. 8 indexed citations
10.
Gao, Yuan, Yanhui Ding, Wei Xiao, et al.. (2022). A semi-supervised learning framework for micropapillary adenocarcinoma detection. International Journal of Computer Assisted Radiology and Surgery. 17(4). 639–648. 8 indexed citations
11.
Zheng, Yuanjie, et al.. (2022). Immune subtype identification and multi-layer perceptron classifier construction for breast cancer. Frontiers in Oncology. 12. 943874–943874. 7 indexed citations
12.
Zheng, Yuanjie, Xiaodan Sui, Yanyun Jiang, et al.. (2021). SymReg-GAN: Symmetric Image Registration with Generative Adversarial Networks. IEEE Transactions on Pattern Analysis and Machine Intelligence. 44(9). 1–1. 47 indexed citations
13.
Sui, Xiaodan, Yuanjie Zheng, Yunlong He, & Weikuan Jia. (2021). Symmetric Deformable Registration via Learning a Pseudomean for MR Brain Images. Journal of Healthcare Engineering. 2021. 1–8.
14.
Jiang, Yanyun, Yuanjie Zheng, Xiaodan Sui, et al.. (2021). ASRNet: Adversarial Segmentation and Registration Networks for Multispectral Fundus Images. Computer Systems Science and Engineering. 36(3). 537–549. 3 indexed citations
15.
Li, Shuo, et al.. (2020). Screening for Glaucoma from Fundus Images via Multitask Deep Learning. Investigative Ophthalmology & Visual Science. 61(7). 4530–4530. 1 indexed citations
16.
Sui, Xiaodan, Yuanjie Zheng, Yanyun Jiang, Wanzhen Jiao, & Yanhui Ding. (2020). Deep multispectral image registration network. Computerized Medical Imaging and Graphics. 87. 101815–101815. 7 indexed citations
17.
Li, Shuo, Chiru Ge, Xiaodan Sui, Yuanjie Zheng, & Weikuan Jia. (2020). Channel and Spatial Attention Regression Network for Cup-to-Disc Ratio Estimation. Electronics. 9(6). 909–909. 4 indexed citations
18.
Sui, Xiaodan, Hiroshi Ishikawa, Ivan Selesnick, Gadi Wollstein, & Joel S. Schuman. (2018). Speckle noise reduction in OCT and projection images using hybrid wavelet thresholding. 1–6. 4 indexed citations
19.
Lian, Jian, Sujuan Hou, Xiaodan Sui, Fangzhou Xu, & Yuanjie Zheng. (2018). Deblurring retinal optical coherence tomography via a convolutional neural network with anisotropic and double convolution layer. IET Computer Vision. 12(6). 900–907. 19 indexed citations
20.
Sui, Xiaodan, Yuanjie Zheng, Benzheng Wei, et al.. (2017). Choroid segmentation from Optical Coherence Tomography with graph-edge weights learned from deep convolutional neural networks. Neurocomputing. 237. 332–341. 111 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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