Yanning Zhou

1.2k total citations
13 papers, 236 citations indexed

About

Yanning Zhou is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, Yanning Zhou has authored 13 papers receiving a total of 236 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Computer Vision and Pattern Recognition, 5 papers in Artificial Intelligence and 4 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Yanning Zhou's work include Radiomics and Machine Learning in Medical Imaging (3 papers), AI in cancer detection (3 papers) and Traffic and Road Safety (2 papers). Yanning Zhou is often cited by papers focused on Radiomics and Machine Learning in Medical Imaging (3 papers), AI in cancer detection (3 papers) and Traffic and Road Safety (2 papers). Yanning Zhou collaborates with scholars based in China, Hong Kong and France. Yanning Zhou's co-authors include Hao Chen, Pheng‐Ann Heng, Wei Zhang, Bin Gao, Hang Xu, Ronald Chan, Hao Jiang, Jiang Liu, Yi Lin and Qi Dou and has published in prestigious journals such as Nature Communications, Sustainability and Medical Image Analysis.

In The Last Decade

Yanning Zhou

10 papers receiving 233 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Yanning Zhou China	7	146	109	68	24	23	13	236
Amjad Khan Malaysia	10	97 0.7×	153 1.4×	66 1.0×	30 1.3×	16 0.7×	20	308
Steven Q. H. Truong Vietnam	7	163 1.1×	69 0.6×	108 1.6×	37 1.5×	9 0.4×	19	303
Constantin Seibold Germany	7	127 0.9×	128 1.2×	86 1.3×	40 1.7×	29 1.3×	22	258
Chanh D. Tr. Nguyen Vietnam	7	155 1.1×	65 0.6×	94 1.4×	35 1.5×	9 0.4×	14	291
Jie-Neng Chen United States	3	172 1.2×	263 2.4×	90 1.3×	31 1.3×	8 0.3×	4	426
Matthew C. H. Lee United Kingdom	2	109 0.7×	167 1.5×	107 1.6×	39 1.6×	11 0.5×	2	288
Masoud S. Nosrati Canada	10	183 1.3×	206 1.9×	62 0.9×	58 2.4×	31 1.3×	20	361
Abin Jose Germany	7	83 0.6×	113 1.0×	93 1.4×	35 1.5×	16 0.7×	22	278
May Phu Paing Thailand	12	83 0.6×	84 0.8×	116 1.7×	34 1.4×	5 0.2×	29	283
Hossein Kashiani United States	6	143 1.0×	179 1.6×	103 1.5×	31 1.3×	9 0.4×	16	347

Countries citing papers authored by Yanning Zhou

Since Specialization

Citations

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

Fields of papers citing papers by Yanning Zhou

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yanning Zhou

This figure shows the co-authorship network connecting the top 25 collaborators of Yanning Zhou. A scholar is included among the top collaborators of Yanning Zhou 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 Yanning Zhou. Yanning Zhou 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:

13 of 13 papers shown

Zhou, Yanning, et al.. (2025). PrimitiveAnything: Human-Crafted 3D Primitive Assembly Generation with Auto-Regressive transformer. 1–12.

Wu, Linshan, Yanning Zhou, Luyang Luo, et al.. (2025). Large-scale generative tumor synthesis in computed tomography images for improving tumor recognition. Nature Communications. 16(1). 11053–11053.

Zhou, Yanning, et al.. (2025). StdGEN: Semantic-Decomposed 3D Character Generation from Single Images. 26345–26355. 1 indexed citations

Liu, Runsheng, et al.. (2024). GAInS: Gradient Anomaly-aware Biomedical Instance Segmentation. 2217–2223.

Guo, Fengxiang, et al.. (2023). Predicting the severity of traffic accidents on mountain freeways with dynamic traffic and weather data. Transportation Safety and Environment. 5(4). 19 indexed citations

Zhou, Yanning, et al.. (2023). DoNet: Deep De-Overlapping Network for Cytology Instance Segmentation. Rare & Special e-Zone (The Hong Kong University of Science and Technology). 15641–15650. 21 indexed citations

Luo, Luyang, Hao Chen, Yanning Zhou, et al.. (2022). Rethinking Annotation Granularity for Overcoming Shortcuts in Deep Learning–based Radiograph Diagnosis: A Multicenter Study. Radiology Artificial Intelligence. 4(5). e210299–e210299. 18 indexed citations

Jiang, Hao, Yanning Zhou, Yi Lin, et al.. (2022). Deep learning for computational cytology: A survey. Medical Image Analysis. 84. 102691–102691. 66 indexed citations

Guo, Fengxiang, et al.. (2022). Improving Older Drivers’ Behaviors Using Theory of Planned Behavior. Sustainability. 14(8). 4769–4769. 4 indexed citations

10.

Zhou, Yanning, et al.. (2021). C3-SemiSeg: Contrastive Semi-Supervised Segmentation via Cross-Set Learning and Dynamic Class-Balancing. 7036–7045. 4 indexed citations

11.

Zhou, Yanning, Hang Xu, Wei Zhang, Bin Gao, & Pheng‐Ann Heng. (2021). C³-SemiSeg: Contrastive Semi-supervised Segmentation via Cross-set Learning and Dynamic Class-balancing. 2021 IEEE/CVF International Conference on Computer Vision (ICCV). 7016–7025. 58 indexed citations

12.

Zhou, Yanning, et al.. (2019). Ring-shaped traveling wave ultrasonic motor for high-output power density with suspension stator. Ultrasonics. 102. 106040–106040. 17 indexed citations

13.

Zhou, Yanning, Qi Dou, Hao Chen, Jing Qin, & Pheng‐Ann Heng. (2018). SFCN-OPI: Detection and Fine-Grained Classification of Nuclei Using Sibling FCN With Objectness Prior Interaction. Proceedings of the AAAI Conference on Artificial Intelligence. 32(1). 28 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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