Xiaoshuang Shi

2.9k total citations · 1 hit paper
66 papers, 1.8k citations indexed

About

Xiaoshuang Shi is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, Xiaoshuang Shi has authored 66 papers receiving a total of 1.8k indexed citations (citations by other indexed papers that have themselves been cited), including 40 papers in Computer Vision and Pattern Recognition, 38 papers in Artificial Intelligence and 14 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Xiaoshuang Shi's work include AI in cancer detection (15 papers), Advanced Image and Video Retrieval Techniques (13 papers) and Face and Expression Recognition (11 papers). Xiaoshuang Shi is often cited by papers focused on AI in cancer detection (15 papers), Advanced Image and Video Retrieval Techniques (13 papers) and Face and Expression Recognition (11 papers). Xiaoshuang Shi collaborates with scholars based in China, United States and Australia. Xiaoshuang Shi's co-authors include Lin Yang, Fuyong Xing, Xiaofeng Zhu, Pingjun Chen, Zhenhua Guo, Liang Peng, Yuanpu Xie, Zizhao Zhang, Zhihui Lai and Hai Su and has published in prestigious journals such as SHILAP Revista de lepidopterología, IEEE Transactions on Pattern Analysis and Machine Intelligence and IEEE Transactions on Image Processing.

In The Last Decade

Xiaoshuang Shi

62 papers receiving 1.7k 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.

Adaptive Feature Projection With Distribution Alignment for Deep Incomplete Multi-View Clustering

2023 103 citations Jie Xu, Chao Li et al. IEEE Transactions on Image Processing profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Xiaoshuang Shi China	25	955	884	360	122	120	66	1.8k
Zizhao Zhang United States	19	824 0.9×	789 0.9×	421 1.2×	11 0.1×	98 0.8×	42	1.6k
Gennaro Percannella Italy	22	523 0.5×	972 1.1×	117 0.3×	225 1.8×	77 0.6×	69	1.6k
Javaria Amin Pakistan	27	1.3k 1.4×	2.0k 2.3×	999 2.8×	54 0.4×	213 1.8×	64	3.4k
Ekta Walia India	19	726 0.8×	1.3k 1.4×	716 2.0×	8 0.1×	225 1.9×	55	2.3k
Ashnil Kumar Australia	21	875 0.9×	712 0.8×	499 1.4×	12 0.1×	168 1.4×	54	1.8k
Yuyin Zhou United States	23	1.4k 1.5×	1.1k 1.2×	712 2.0×	8 0.1×	226 1.9×	49	2.4k
Youyi Song China	17	598 0.6×	306 0.3×	234 0.7×	19 0.2×	69 0.6×	34	1.2k
Sihang Zhou China	34	1.9k 2.0×	1.8k 2.0×	213 0.6×	10 0.1×	161 1.3×	99	3.2k
Muhammad Sharif Pakistan	23	775 0.8×	1.3k 1.5×	574 1.6×	9 0.1×	152 1.3×	67	2.3k
Daniel Racoceanu France	21	1.8k 1.9×	1.3k 1.5×	1.0k 2.9×	12 0.1×	208 1.7×	97	2.8k

Countries citing papers authored by Xiaoshuang Shi

Since Specialization

Citations

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

Fields of papers citing papers by Xiaoshuang Shi

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Xiaoshuang Shi

This figure shows the co-authorship network connecting the top 25 collaborators of Xiaoshuang Shi. A scholar is included among the top collaborators of Xiaoshuang Shi 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 Xiaoshuang Shi. Xiaoshuang Shi 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

Shi, Xiaoshuang, Xiao Zhang, Yi Wang, et al.. (2025). Exploring Unbiased Activation Maps for Weakly Supervised Tissue Segmentation of Histopathological Images. IEEE Transactions on Medical Imaging. 44(6). 2631–2642. 1 indexed citations

Chen, Yidi, Xiaoshuang Shi, Rui Wang, et al.. (2025). Interpretable 2.5D network by hierarchical attention and consistency learning for 3D MRI classification. Pattern Recognition. 164. 111539–111539. 1 indexed citations

Wang, Rui, Xiaoshuang Shi, Yidi Chen, et al.. (2024). Cross-attention guided loss-based deep dual-branch fusion network for liver tumor classification. Information Fusion. 114. 102713–102713. 5 indexed citations

Wang, Zhiyuan, Jinhao Duan, Yue Zhang, et al.. (2024). ConU: Conformal Uncertainty in Large Language Models with Correctness Coverage Guarantees. 6886–6898. 3 indexed citations

Xu, Jinghao, et al.. (2024). Interpretable medical deep framework by logits-constraint attention guiding graph-based multi-scale fusion for Alzheimer’s disease analysis. Pattern Recognition. 152. 110450–110450. 14 indexed citations

Hu, Ping, et al.. (2024). Indirect Alignment and Relationship Preservation for Domain Generalization. 2054–2062. 2 indexed citations

Duan, Jinhao, Chenxi Yuan, Qingyu Chen, et al.. (2024). Word-Sequence Entropy: Towards uncertainty estimation in free-form medical question answering applications and beyond. Engineering Applications of Artificial Intelligence. 139. 109553–109553. 2 indexed citations

Xu, Jie, Chao Li, Liang Peng, et al.. (2023). Adaptive Feature Projection With Distribution Alignment for Deep Incomplete Multi-View Clustering. IEEE Transactions on Image Processing. 32. 1354–1366. 103 indexed citations breakdown →

Mo, Yujie, Yajie Lei, Liang Peng, et al.. (2023). Multiplex Graph Representation Learning Via Dual Correlation Reduction. IEEE Transactions on Knowledge and Data Engineering. 35(12). 12814–12827. 49 indexed citations

10.

Shen, Junyi, et al.. (2023). Multi-scale representation attention based deep multiple instance learning for gigapixel whole slide image analysis. Medical Image Analysis. 89. 102890–102890. 28 indexed citations

11.

Shi, Xiaoshuang, et al.. (2022). FSNet: Dual Interpretable Graph Convolutional Network for Alzheimer’s Disease Analysis. IEEE Transactions on Emerging Topics in Computational Intelligence. 7(1). 15–25. 18 indexed citations

12.

Shi, Xiaoshuang, Yifan Peng, Qingyu Chen, et al.. (2022). Robust convolutional neural networks against adversarial attacks on medical images. Pattern Recognition. 132. 108923–108923. 24 indexed citations

13.

Hu, Rongyao, Jiangzhang Gan, Xiaofeng Zhu, Tong Liu, & Xiaoshuang Shi. (2021). Multi-task multi-modality SVM for early COVID-19 Diagnosis using chest CT data. Information Processing & Management. 59(1). 102782–102782. 45 indexed citations

14.

Shi, Xiaoshuang, Tiarnán D L Keenan, Qingyu Chen, et al.. (2021). Improving Interpretability in Machine Diagnosis. SHILAP Revista de lepidopterología. 1(3). 100038–100038. 16 indexed citations

15.

Chen, Pingjun, Xiaoshuang Shi, Yun Liang, et al.. (2020). Interactive thyroid whole slide image diagnostic system using deep representation. Computer Methods and Programs in Biomedicine. 195. 105630–105630. 26 indexed citations

16.

Shi, Xiaoshuang, Hai Su, Fuyong Xing, et al.. (2019). Graph temporal ensembling based semi-supervised convolutional neural network with noisy labels for histopathology image analysis. Medical Image Analysis. 60. 101624–101624. 41 indexed citations

17.

Chen, Pingjun, Linlin Gao, Xiaoshuang Shi, Kyle D. Allen, & Lin Yang. (2019). Fully automatic knee osteoarthritis severity grading using deep neural networks with a novel ordinal loss. Computerized Medical Imaging and Graphics. 75. 84–92. 185 indexed citations

18.

Sapkota, Manish, Xiaoshuang Shi, Fuyong Xing, & Lin Yang. (2018). Deep Convolutional Hashing for Low-Dimensional Binary Embedding of Histopathological Images. IEEE Journal of Biomedical and Health Informatics. 23(2). 805–816. 27 indexed citations

19.

Shi, Xiaoshuang, Fuyong Xing, Zhenhua Guo, et al.. (2018). Structured orthogonal matching pursuit for feature selection. Neurocomputing. 349. 164–172. 7 indexed citations

20.

Xing, Fuyong, Xiaoshuang Shi, Zizhao Zhang, et al.. (2016). Transfer Shape Modeling Towards High-Throughput Microscopy Image Segmentation. Lecture notes in computer science. 9902. 183–190. 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.

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