Shihui Ying

3.4k total citations · 1 hit paper
124 papers, 2.2k citations indexed

About

Shihui Ying is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, Shihui Ying has authored 124 papers receiving a total of 2.2k indexed citations (citations by other indexed papers that have themselves been cited), including 65 papers in Computer Vision and Pattern Recognition, 43 papers in Artificial Intelligence and 28 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Shihui Ying's work include Robotics and Sensor-Based Localization (19 papers), AI in cancer detection (17 papers) and Medical Image Segmentation Techniques (14 papers). Shihui Ying is often cited by papers focused on Robotics and Sensor-Based Localization (19 papers), AI in cancer detection (17 papers) and Medical Image Segmentation Techniques (14 papers). Shihui Ying collaborates with scholars based in China, United States and Hong Kong. Shihui Ying's co-authors include Jun Shi, Shaoyi Du, Zheng Xiao, Yan Li, Qi Zhang, Nanning Zheng, Jun Wang, Zhijie Wen, Yaxin Peng and Chaofeng Wang and has published in prestigious journals such as Nature Communications, PLoS ONE and IEEE Transactions on Pattern Analysis and Machine Intelligence.

In The Last Decade

Shihui Ying

111 papers receiving 2.2k citations

Hit Papers

Hyper-YOLO: When Visual Object Detection Meets Hypergraph... 2024 2026 2025 2024 10 20 30 40 50
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.

  1. Hyper-YOLO: When Visual Object Detection Meets Hypergraph Computation
    2024 57 citations Yifan Feng, Shaoyi Du et al. IEEE Transactions on Pattern Analysis and Machine Intelligence profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Shihui Ying China 24 1.0k 670 435 385 265 124 2.2k
Naoufel Werghi United Arab Emirates 28 1.4k 1.3× 671 1.0× 517 1.2× 190 0.5× 82 0.3× 255 2.5k
Chengdong Wu China 22 817 0.8× 440 0.7× 336 0.8× 340 0.9× 137 0.5× 322 2.6k
Vasileios Belagiannis Germany 18 1.1k 1.0× 815 1.2× 533 1.2× 65 0.2× 150 0.6× 49 2.1k
Liang Zhang China 28 1.8k 1.8× 501 0.7× 255 0.6× 227 0.6× 60 0.2× 115 2.7k
Jianfeng Lu China 27 1.9k 1.8× 915 1.4× 304 0.7× 260 0.7× 639 2.4× 166 3.0k
Mathilde Caron United States 5 1.8k 1.8× 1.4k 2.1× 335 0.8× 190 0.5× 81 0.3× 10 3.1k
Zhijun Fang China 27 2.0k 1.9× 650 1.0× 225 0.5× 149 0.4× 94 0.4× 162 3.0k
Kai‐Lung Hua Taiwan 23 1.2k 1.2× 481 0.7× 406 0.9× 151 0.4× 119 0.4× 141 2.3k
Muwei Jian China 29 1.8k 1.7× 392 0.6× 255 0.6× 114 0.3× 95 0.4× 137 2.6k
Yee‐Hong Yang Canada 36 2.9k 2.8× 310 0.5× 188 0.4× 389 1.0× 132 0.5× 162 3.7k

Countries citing papers authored by Shihui Ying

Since Specialization
Citations

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

Fields of papers citing papers by Shihui Ying

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Shihui Ying

This figure shows the co-authorship network connecting the top 25 collaborators of Shihui Ying. A scholar is included among the top collaborators of Shihui Ying 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 Shihui Ying. Shihui Ying 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.
Ying, Shihui, et al.. (2025). Dual-Domain Spatial-Temporal reconstruction network for reconstruction of cine CMR. Biomedical Signal Processing and Control. 107. 107836–107836.
2.
Shen, Xiaoqin, et al.. (2025). RGB-D Domain adaptive semantic segmentation with cross-modality feature recalibration. Information Fusion. 120. 103117–103117. 3 indexed citations
3.
Feng, Yifan, et al.. (2025). Self-Supervised Hypergraph Training Framework via Structure-Aware Learning. IEEE Transactions on Pattern Analysis and Machine Intelligence. 47(11). 10160–10176.
4.
Feng, Yifan, et al.. (2025). Kernelized Hypergraph Neural Networks. IEEE Transactions on Pattern Analysis and Machine Intelligence. 47(10). 8938–8954. 1 indexed citations
5.
Chen, Ke, et al.. (2024). Time multiscale regularization for nonlinear image registration. Computerized Medical Imaging and Graphics. 112. 102331–102331. 1 indexed citations
6.
Guo, Le‐Hang, et al.. (2024). Multi-View disentanglement-based bidirectional generalized distillation for diagnosis of liver cancers with ultrasound images. Information Processing & Management. 61(6). 103855–103855. 1 indexed citations
7.
Zhang, Hao, Qi Wang, Jun Shi, Shihui Ying, & Zhijie Wen. (2024). Deep unfolding network with spatial alignment for multi-modal MRI reconstruction. Medical Image Analysis. 99. 103331–103331. 4 indexed citations
8.
Ying, Shihui, et al.. (2024). HNS: An efficient hermite neural solver for solving time-fractional partial differential equations. Chaos Solitons & Fractals. 181. 114637–114637. 6 indexed citations
9.
Feng, Yifan, Shaoyi Du, Shihui Ying, et al.. (2024). Hyper-YOLO: When Visual Object Detection Meets Hypergraph Computation. IEEE Transactions on Pattern Analysis and Machine Intelligence. 47(4). 2388–2401. 57 indexed citations breakdown →
10.
Qiao, Liang, Shichong Zhou, Jun Wang, et al.. (2024). Weakly Supervised Lesion Detection and Diagnosis for Breast Cancers With Partially Annotated Ultrasound Images. IEEE Transactions on Medical Imaging. 43(7). 2509–2521. 16 indexed citations
11.
Feng, Yifan, Jiashu Han, Shihui Ying, & Yue Gao. (2024). Hypergraph Isomorphism Computation. IEEE Transactions on Pattern Analysis and Machine Intelligence. 46(5). 3880–3896. 9 indexed citations
12.
Ma, Liyan, et al.. (2024). FEFA: Frequency Enhanced Multi-Modal MRI Reconstruction With Deep Feature Alignment. IEEE Journal of Biomedical and Health Informatics. 28(11). 6751–6763. 4 indexed citations
13.
Gao, Yue, et al.. (2023). GAME: GAussian Mixture Error-based meta-learning architecture. Neural Computing and Applications. 35(28). 20445–20461. 2 indexed citations
14.
Li, Ce, et al.. (2023). PGF-BIQA: Blind image quality assessment via probability multi-grained cascade forest. Computer Vision and Image Understanding. 232. 103695–103695. 2 indexed citations
15.
Zhang, Yubo, Chenggang Yan, Zuxing Xuan, et al.. (2023). Penalized Flow Hypergraph Local Clustering. IEEE Transactions on Knowledge and Data Engineering. 36(5). 2110–2125. 4 indexed citations
16.
Wan, Hai, Xinwei Zhang, Yubo Zhang, et al.. (2022). Structure Evolution on Manifold for Graph Learning. IEEE Transactions on Pattern Analysis and Machine Intelligence. 45(6). 7751–7763. 4 indexed citations
17.
Peng, Yaxin, et al.. (2020). A Local-to-Global Metric Learning Framework From the Geometric Insight. IEEE Access. 8. 16953–16964. 4 indexed citations
18.
Peng, Yaxin, et al.. (2020). A Coarse-to-Fine Generalized-ICP Algorithm With Trimmed Strategy. IEEE Access. 8. 40692–40703. 15 indexed citations
19.
Ying, Shihui, et al.. (2019). Intrinsic Metric Learning With Subspace Representation. IEEE Access. 7. 68572–68583. 1 indexed citations
20.
Ying, Shihui, Zhijie Wen, Jun Shi, et al.. (2017). Manifold Preserving: An Intrinsic Approach for Semisupervised Distance Metric Learning. IEEE Transactions on Neural Networks and Learning Systems. 1–12. 58 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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