Zhuchen Shao

640 total citations
6 papers, 52 citations indexed

About

Zhuchen Shao is a scholar working on Artificial Intelligence, Radiology, Nuclear Medicine and Imaging and Computer Vision and Pattern Recognition. According to data from OpenAlex, Zhuchen Shao has authored 6 papers receiving a total of 52 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Artificial Intelligence, 4 papers in Radiology, Nuclear Medicine and Imaging and 3 papers in Computer Vision and Pattern Recognition. Recurrent topics in Zhuchen Shao's work include AI in cancer detection (5 papers), Radiomics and Machine Learning in Medical Imaging (4 papers) and Colorectal Cancer Screening and Detection (3 papers). Zhuchen Shao is often cited by papers focused on AI in cancer detection (5 papers), Radiomics and Machine Learning in Medical Imaging (4 papers) and Colorectal Cancer Screening and Detection (3 papers). Zhuchen Shao collaborates with scholars based in China, Australia and Hong Kong. Zhuchen Shao's co-authors include Yongbing Zhang, Hao Bian, Haoqian Wang, Guojun Liu, Shaohui Liu, Jian Zhang, Yuanhao Cai, Shan Zeng, Wei Le and Yihan Liu and has published in prestigious journals such as IEEE Journal of Biomedical and Health Informatics, International Journal of Surgery and JCO Clinical Cancer Informatics.

In The Last Decade

Zhuchen Shao

6 papers receiving 52 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Zhuchen Shao China	4	42	32	18	7	6	6	52
Bingzheng Wei China	5	42 1.0×	34 1.1×	19 1.1×	2 0.3×	5 0.8×	9	70
Frauke Wilm Germany	5	44 1.0×	23 0.7×	24 1.3×	8 1.1×	7 1.2×	14	67
Jean-François Rajotte Canada	3	32 0.8×	11 0.3×	16 0.9×	3 0.4×	5 0.8×	6	77
Tianyuan Yao United States	6	48 1.1×	47 1.5×	48 2.7×	6 0.9×	7 1.2×	29	118
Martin Hedlund Sweden	6	62 1.5×	38 1.2×	37 2.1×	7 1.0×	6 1.0×	13	96
Milad Sikaroudi Canada	5	63 1.5×	22 0.7×	26 1.4×	9 1.3×	10 1.7×	5	90
Leonardo O. Iheme Türkiye	5	54 1.3×	16 0.5×	26 1.4×	2 0.3×	8 1.3×	13	82
Dennis Eschweiler Germany	5	27 0.6×	22 0.7×	19 1.1×	9 1.3×	7 1.2×	8	70
Alexander Khvostikov Russia	6	33 0.8×	53 1.7×	21 1.2×	5 0.7×	3 0.5×	30	82
Matthias Perkonigg Austria	4	28 0.7×	17 0.5×	37 2.1×	2 0.3×	7 1.2×	6	65

Countries citing papers authored by Zhuchen Shao

Since Specialization

Citations

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

Fields of papers citing papers by Zhuchen Shao

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Zhuchen Shao

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

All Works

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6 of 6 papers shown

1.

Zhang, Xiangyang, Changjing Cai, Wei Le, et al.. (2025). Artificial intelligence predicts multiclass molecular signatures and subtypes directly from breast cancer histology: a multicenter retrospective study. International Journal of Surgery. 111(4). 3109–3114. 3 indexed citations

2.

Shao, Zhuchen, et al.. (2024). AugDiff: Diffusion-Based Feature Augmentation for Multiple Instance Learning in Whole Slide Image. IEEE Transactions on Artificial Intelligence. 5(12). 6617–6628. 8 indexed citations

3.

Shao, Zhuchen, et al.. (2023). HVTSurv: Hierarchical Vision Transformer for Patient-Level Survival Prediction from Whole Slide Image. Proceedings of the AAAI Conference on Artificial Intelligence. 37(2). 2209–2217. 13 indexed citations

4.

Shao, Zhuchen, et al.. (2023). LNPL-MIL: Learning from Noisy Pseudo Labels for Promoting Multiple Instance Learning in Whole Slide Image. 21438–21438. 16 indexed citations

5.

Shao, Zhuchen, Hao Bian, Yuanhao Cai, et al.. (2023). dMIL-Transformer: Multiple Instance Learning Via Integrating Morphological and Spatial Information for Lymph Node Metastasis Classification. IEEE Journal of Biomedical and Health Informatics. 27(9). 4433–4443. 11 indexed citations

6.

Shao, Zhuchen, et al.. (2023). Generalizability of Self-Supervised Training Models for Digital Pathology: A Multicountry Comparison in Colorectal Cancer. JCO Clinical Cancer Informatics. 7(7). e2200178–e2200178. 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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