Aite Zhao

1.1k total citations
28 papers, 748 citations indexed

About

Aite Zhao is a scholar working on Computer Vision and Pattern Recognition, Biomedical Engineering and Artificial Intelligence. According to data from OpenAlex, Aite Zhao has authored 28 papers receiving a total of 748 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Computer Vision and Pattern Recognition, 10 papers in Biomedical Engineering and 8 papers in Artificial Intelligence. Recurrent topics in Aite Zhao's work include Gait Recognition and Analysis (10 papers), Human Pose and Action Recognition (7 papers) and Voice and Speech Disorders (6 papers). Aite Zhao is often cited by papers focused on Gait Recognition and Analysis (10 papers), Human Pose and Action Recognition (7 papers) and Voice and Speech Disorders (6 papers). Aite Zhao collaborates with scholars based in China, United Kingdom and Germany. Aite Zhao's co-authors include Junyu Dong, Lin Qi, Jianbo Li, Huiyu Zhou, Hui Yu, Qianni Zhang, Jie Li, Zheheng Jiang, Zhihua Liu and Long Chen and has published in prestigious journals such as Nature, IEEE Transactions on Image Processing and IEEE Access.

In The Last Decade

Aite Zhao

28 papers receiving 720 citations

Peers

Aite Zhao

CVPR

NEURO

PHYSI

Fuxing Yang China

Danilo Rodrigues Pereira Brazil

Ramazan Teki̇n Türkiye

Cristian Pasluosta Germany

Vincenzo Dentamaro Italy

Ying-Cong Chen China

Musa Peker Türkiye

Thomas Kautz Germany

Shahzad Anwar Pakistan

Türker Tuncer Türkiye

Fuxing Yang China

Aite Zhao

140 ×0.5

CVPR

76 ×0.4

77 ×0.5

NEURO

47 ×0.5

PHYSI

67 ×0.7

Citations per year, relative to Aite Zhao Aite Zhao (= 1×) peers Fuxing Yang

Countries citing papers authored by Aite Zhao

Since Specialization

Citations

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

Fields of papers citing papers by Aite Zhao

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Aite Zhao

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

Zhao, Aite, et al.. (2025). Artificial intelligence-enabled detection and assessment of Parkinson’s disease using multimodal data: A survey. Information Fusion. 121. 103175–103175. 3 indexed citations

Zhao, Aite, et al.. (2024). A multi-level feature attention network for COVID-19 detection based on multi-source medical images. Multimedia Tools and Applications. 83(27). 70419–70450. 2 indexed citations

Zhao, Aite, et al.. (2024). A Triplet Multimodel Transfer Learning Network for Speech Disorder Screening of Parkinson’s Disease. International Journal of Intelligent Systems. 2024. 1–20. 7 indexed citations

Zhao, Aite & Jianbo Li. (2023). A significantly enhanced neural network for handwriting assessment in Parkinson’s disease detection. Multimedia Tools and Applications. 82(25). 38297–38317. 13 indexed citations

Zhao, Aite, et al.. (2023). A Spatio‐Temporal Siamese Neural Network for Multimodal Handwriting Abnormality Screening of Parkinson’s Disease. International Journal of Intelligent Systems. 2023(1). 10 indexed citations

Ren, Tao, et al.. (2023). FuseLGNet: Fusion of Local and Global Information for Detection of Parkinson’s Disease. Information. 14(2). 119–119. 3 indexed citations

Li, Ran, et al.. (2023). A coordinate attention enhanced swin transformer for handwriting recognition of Parkinson's disease. IET Image Processing. 17(9). 2686–2697. 10 indexed citations

Zhao, Aite, Yue Wang, & Jianbo Li. (2022). Transferable Self-Supervised Instance Learning for Sleep Recognition. IEEE Transactions on Multimedia. 25. 4464–4477. 21 indexed citations

Zhao, Aite, et al.. (2022). DCACorrCapsNet: A deep channel‐attention correlative capsule network for COVID‐19 detection based on multi‐source medical images. IET Image Processing. 17(4). 988–1000. 5 indexed citations

10.

Wang, Yue, et al.. (2022). Spatio-Temporal Correlation Augmented Model for Traffic Flow Prediction in Urban Areas. 48–53. 1 indexed citations

11.

Zhao, Aite & Jianbo Li. (2022). Two-channel lstm for severity rating of parkinson’s disease using 3d trajectory of hand motion. Multimedia Tools and Applications. 81(23). 33851–33866. 9 indexed citations

12.

Zhao, Aite, Jianbo Li, Junyu Dong, et al.. (2021). Multimodal Gait Recognition for Neurodegenerative Diseases. IEEE Transactions on Cybernetics. 52(9). 9439–9453. 57 indexed citations

13.

Zhao, Aite, Junyu Dong, Jianbo Li, Lin Qi, & Huiyu Zhou. (2021). Associated Spatio-Temporal Capsule Network for Gait Recognition. IEEE Transactions on Multimedia. 24. 846–860. 45 indexed citations

14.

Jiang, Zheheng, Feixiang Zhou, Aite Zhao, et al.. (2021). Multi-View Mouse Social Behaviour Recognition With Deep Graphic Model. IEEE Transactions on Image Processing. 30. 5490–5504. 13 indexed citations

15.

Yu, Xianjun, Chen Xiao, Mamta Amrute‐Nayak, et al.. (2021). MARK4 controls ischaemic heart failure through microtubule detyrosination. Nature. 594(7864). 560–565. 61 indexed citations

16.

Zhao, Aite, Jianbo Li, & Manzoor Ahmed. (2020). SpiderNet: A spiderweb graph neural network for multi-view gait recognition. Knowledge-Based Systems. 206. 106273–106273. 47 indexed citations

17.

Chen, Long, Zheheng Jiang, Lei Tong, et al.. (2020). Perceptual Underwater Image Enhancement With Deep Learning and Physical Priors. IEEE Transactions on Circuits and Systems for Video Technology. 31(8). 3078–3092. 139 indexed citations

18.

Zhao, Aite, Junyu Dong, & Huiyu Zhou. (2020). Self-Supervised Learning From Multi-Sensor Data for Sleep Recognition. IEEE Access. 8. 93907–93921. 27 indexed citations

19.

Zhao, Aite, Lin Qi, Junyu Dong, & Hui Yu. (2018). Dual channel LSTM based multi-feature extraction in gait for diagnosis of Neurodegenerative diseases. Knowledge-Based Systems. 145. 91–97. 77 indexed citations

20.

Zhao, Aite, Lin Qi, Jie Li, Junyu Dong, & Hui Yu. (2018). A hybrid spatio-temporal model for detection and severity rating of Parkinson’s disease from gait data. Neurocomputing. 315. 1–8. 117 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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