Baoyao Yang

715 total citations
24 papers, 469 citations indexed

About

Baoyao Yang is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Signal Processing. According to data from OpenAlex, Baoyao Yang has authored 24 papers receiving a total of 469 indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Artificial Intelligence, 6 papers in Computer Vision and Pattern Recognition and 6 papers in Signal Processing. Recurrent topics in Baoyao Yang's work include Machine Learning in Healthcare (7 papers), Domain Adaptation and Few-Shot Learning (7 papers) and Time Series Analysis and Forecasting (4 papers). Baoyao Yang is often cited by papers focused on Machine Learning in Healthcare (7 papers), Domain Adaptation and Few-Shot Learning (7 papers) and Time Series Analysis and Forecasting (4 papers). Baoyao Yang collaborates with scholars based in Hong Kong, China and Japan. Baoyao Yang's co-authors include Pong C. Yuen, J. Andy, Qingxiong Tan, Mang Ye, Grace Lai–Hung Wong, Siqi Liu, Guoying Zhao, Terry Cheuk‐Fung Yip, Tatsuya Harada and Siqi Liu and has published in prestigious journals such as IEEE Transactions on Image Processing, Pattern Recognition and Advanced Science.

In The Last Decade

Baoyao Yang

22 papers receiving 460 citations

Peers

Countries citing papers authored by Baoyao Yang

Since Specialization

Citations

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

Fields of papers citing papers by Baoyao Yang

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Baoyao Yang

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

All Works

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20 of 20 papers shown

#	Work	Indexed citations
1	FedDUS: Lung tumor segmentation on CT images through federated semi-supervised with dynamic update strategy 2024 ·Computer Methods and Programs in Biomedicine ·Dan Wang, Chu Han, Zhen Zhang, Tian‐Tian Zhai, Huan Lin, Baoyao Yang, Yanfen Cui, (unknown), (unknown), Lujun Zhao, (unknown), An Zeng, Dan Pan, Xin Chen, Zhenwei Shi, Zaiyi Liu	8
2	An Optimized Intrusion Detection Scheme for Industrial Control Systems in IIOT 2024 ·(unknown), (unknown), (unknown), Jihui Li, Zhi Zeng, Baoyao Yang	0
3	Domain Dilation for Single Domain Generalization 2024 ·(unknown), Baoyao Yang, (unknown), (unknown)	0
4	Allosteric Feature Collaboration for Model-Heterogeneous Federated Learning 2023 ·IEEE Transactions on Neural Networks and Learning Systems ·Baoyao Yang, Pong C. Yuen, Yiqun Zhang, An Zeng	3
5	Early Diagnosis of Alzheimer’s Disease Based on Multimodal Hypergraph Attention Network 2023 ·Yi Li, Baoyao Yang, Dan Pan, An Zeng, Long Wu, Yang Yang	1
6	Novel machine learning models outperform risk scores in predicting hepatocellular carcinoma in patients with chronic viral hepatitis 2022 ·JHEP Reports ·Grace Lai–Hung Wong, Vicki Wing‐Ki Hui, Qingxiong Tan, (unknown), Hye Won Lee, Terry Cheuk‐Fung Yip, Baoyao Yang, Yee‐Kit Tse, (unknown), (unknown), Jimmy Che‐To Lai, Grace Lui, Henry Lik‐Yuen Chan, Pong C. Yuen, Vincent Wai‐Sun Wong	40
7	Adaptive 3DCNN-Based Interpretable Ensemble Model for Early Diagnosis of Alzheimer’s Disease 2022 ·IEEE Transactions on Computational Social Systems ·Dan Pan, (unknown), An Zeng, Chao Zou, Haolin Liang, (unknown), Tong Zhang, Baoyao Yang	19
8	Deep Learning for Brain MRI Confirms Patterned Pathological Progression in Alzheimer's Disease 2022 ·Advanced Science ·Dan Pan, An Zeng, Baoyao Yang, (unknown), Bing Hu, Xiaowei Song, Tianzi Jiang, (unknown)	19
9	Model-Induced Generalization Error Bound for Information-Theoretic Representation Learning in Source-Data-Free Unsupervised Domain Adaptation 2021 ·IEEE Transactions on Image Processing ·Baoyao Yang, (unknown), Tatsuya Harada, Pong C. Yuen	11
10	SoFA: Source-data-free Feature Alignment for Unsupervised Domain Adaptation 2021 ·(unknown), Baoyao Yang, Pong C. Yuen, Tatsuya Harada	48
11	DATA-GRU: Dual-Attention Time-Aware Gated Recurrent Unit for Irregular Multivariate Time Series 2020 ·Proceedings of the AAAI Conference on Artificial Intelligence ·Qingxiong Tan, Mang Ye, Baoyao Yang, Siqi Liu, J. Andy, Terry Cheuk‐Fung Yip, Grace Lai–Hung Wong, Pong C. Yuen	72
12	Explainable Uncertainty-Aware Convolutional Recurrent Neural Network for Irregular Medical Time Series 2020 ·IEEE Transactions on Neural Networks and Learning Systems ·Qingxiong Tan, Mang Ye, J. Andy, Baoyao Yang, Terry Cheuk‐Fung Yip, Grace Lai–Hung Wong, Pong C. Yuen	34
13	UA-CRNN: Uncertainty-Aware Convolutional Recurrent Neural Network for Mortality Risk Prediction 2019 ·Qingxiong Tan, J. Andy, Mang Ye, Baoyao Yang, Huiqi Deng, Vincent Wai‐Sun Wong, Yee‐Kit Tse, Terry Cheuk‐Fung Yip, Grace Lai–Hung Wong, Jessica Ching, Francis K.L. Chan, Pong C. Yuen	14
14	Cross-Domain Visual Representations via Unsupervised Graph Alignment 2019 ·Proceedings of the AAAI Conference on Artificial Intelligence ·Baoyao Yang, Pong C. Yuen	24
15	Domain-Shared Group-Sparse Dictionary Learning for Unsupervised Domain Adaptation 2018 ·Proceedings of the AAAI Conference on Artificial Intelligence ·Baoyao Yang, Andy Ma, Pong C. Yuen	11
16	Body Parts Synthesis for Cross-Quality Pose Estimation 2018 ·IEEE Transactions on Circuits and Systems for Video Technology ·Baoyao Yang, J. Andy, Pong C. Yuen	8
17	Learning domain-shared group-sparse representation for unsupervised domain adaptation 2018 ·Pattern Recognition ·Baoyao Yang, J. Andy, Pong C. Yuen	41
18	A 3D Mask Face Anti-Spoofing Database with Real World Variations 2016 ·Siqi Liu, Baoyao Yang, Pong C. Yuen, Guoying Zhao	70
19	Torso orientation: A new clue for occlusion-aware human pose estimation 2016 ·(unknown), Baoyao Yang, Pong C. Yuen	1
20	Study of predicting combined chaotic time series using neural networks 2004 ·Institutional Knowledge (InK) - Institutional Knowledge at Singapore Management University (Singapore Management University) ·Zhaoxia Wang, (unknown), (unknown), (unknown), Baoyao Yang	2

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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