Pei-Yuan Wu

406 total citations
24 papers, 250 citations indexed

About

Pei-Yuan Wu is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Signal Processing. According to data from OpenAlex, Pei-Yuan Wu has authored 24 papers receiving a total of 250 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Computer Vision and Pattern Recognition, 10 papers in Artificial Intelligence and 5 papers in Signal Processing. Recurrent topics in Pei-Yuan Wu's work include Privacy-Preserving Technologies in Data (6 papers), Adversarial Robustness in Machine Learning (4 papers) and Indoor and Outdoor Localization Technologies (3 papers). Pei-Yuan Wu is often cited by papers focused on Privacy-Preserving Technologies in Data (6 papers), Adversarial Robustness in Machine Learning (4 papers) and Indoor and Outdoor Localization Technologies (3 papers). Pei-Yuan Wu collaborates with scholars based in Taiwan, United States and China. Pei-Yuan Wu's co-authors include Sun‐Yuan Kung, J. Morris Chang, Hung T. Nguyen, Ruey‐Beei Wu, Di Zhuang, Mohammad Al-Rubaie, Weijie Cai, Xiao Kang, Zhao‐Qing Liu and Norene Kelly and has published in prestigious journals such as IEEE Access, Sensors and IEEE Transactions on Cybernetics.

In The Last Decade

Pei-Yuan Wu

22 papers receiving 243 citations

Peers

Countries citing papers authored by Pei-Yuan Wu

Since Specialization

Citations

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

Fields of papers citing papers by Pei-Yuan Wu

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Pei-Yuan Wu. 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 Pei-Yuan Wu. The network helps show where Pei-Yuan Wu may publish in the future.

Co-authorship network of co-authors of Pei-Yuan Wu

This figure shows the co-authorship network connecting the top 25 collaborators of Pei-Yuan Wu. A scholar is included among the top collaborators of Pei-Yuan Wu 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 Pei-Yuan Wu. Pei-Yuan Wu 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

#	Work	Indexed citations
1	3D Baseball Pitcher Pose Reconstruction Using Joint-Wise Volumetric Triangulation and Baseball Customized Filter System 2024 ·IEEE Access ·(unknown), (unknown), Yuh‐Renn Wu, (unknown), Wei‐Li Hsu, Pei-Yuan Wu	1
2	SecureTVM: A TVM-based Compiler Framework for Selective Privacy-preserving Neural Inference 2023 ·ACM Transactions on Design Automation of Electronic Systems ·(unknown), Chia-Heng Tu, (unknown), Pei-Yuan Wu, Tung‐Lin Tsai, Yi-An Lin, (unknown), (unknown)	5
3	Effect of Dexmedetomidine on Postoperative Renal Function in Patients Undergoing Cardiac Valve Surgery Under Cardiopulmonary Bypass: A Randomized Clinical Trial 2023 ·Journal of Cardiothoracic and Vascular Anesthesia ·(unknown), (unknown), Pei-Yuan Wu, (unknown), (unknown), Bin Chen, Zhongkai Liu, (unknown), (unknown)	3
4	Protecting Sensitive Attributes by Adversarial Training Through Class-Overlapping Techniques 2023 ·IEEE Transactions on Information Forensics and Security ·(unknown), (unknown), (unknown), (unknown), Pei-Yuan Wu	6
5	Federated Learning for Distribution Skewed Data Using Sample Weights 2023 ·IEEE Transactions on Artificial Intelligence ·Hung T. Nguyen, Pei-Yuan Wu, J. Morris Chang	6
6	Hierarchically Structured Three-Dimensional Carbon-Based Integrated Electrodes with Enhanced Pseudocapacitance and Deformability 2023 ·(unknown), Weijie Cai, Pei-Yuan Wu, Xiao Kang, Zhao‐Qing Liu	13
7	AMPose: Alternately Mixed Global-Local Attention Model for 3D Human Pose Estimation 2023 ·Hongxin Lin, (unknown), Pei-Yuan Wu	2
8	Viewing Bias Matters in 360^° Videos Visual Saliency Prediction 2023 ·IEEE Access ·(unknown), (unknown), (unknown), (unknown), Yu-Chieh Chao, (unknown), Pei-Yuan Wu	0
9	CTGAN : Cloud Transformer Generative Adversarial Network 2022 ·2022 IEEE International Conference on Image Processing (ICIP) ·(unknown), Pei-Yuan Wu	16
10	An outbreak of human Rhinovirus-A21 infection in a psychiatric ward during COVID-19 pandemic 2022 ·Journal of Microbiology Immunology and Infection ·(unknown), (unknown), (unknown), Pei-Yuan Wu, Shuli Yang, Chung‐Guei Huang, Yhu‐Chering Huang	2
11	Optimization and Evaluation of Multidetector Deep Neural Network for High-Accuracy Wi-Fi Fingerprint Positioning 2022 ·IEEE Internet of Things Journal ·(unknown), (unknown), Pei-Yuan Wu, Ruey‐Beei Wu	12
12	Physical Tampering Detection Using Single COTS Wi-Fi Endpoint 2021 ·Sensors ·(unknown), (unknown), Pei-Yuan Wu, Ruey‐Beei Wu	7
13	Epidemiology of the first 100 cases of COVID-19 in Taiwan and its implications on outbreak control 2020 ·Journal of the Formosan Medical Association ·Tsung-Pei Tsou, Wan‐Chin Chen, Angela Huang, Shan‐Chwen Chang, (unknown), (unknown), (unknown), Pei‐Chun Chan, (unknown), (unknown), (unknown), (unknown), (unknown), Pei-Yuan Wu, (unknown), (unknown), Hsin‐Chun Lee, (unknown)	17
14	Compressive Privacy Generative Adversarial Network 2020 ·IEEE Transactions on Information Forensics and Security ·(unknown), Pei-Yuan Wu	28
15	AutoGAN-based dimension reduction for privacy preservation 2019 ·Neurocomputing ·Hung T. Nguyen, Di Zhuang, Pei-Yuan Wu, (unknown)	24
16	Privacy-preserving PCA on horizontally-partitioned data 2017 ·Mohammad Al-Rubaie, Pei-Yuan Wu, J. Morris Chang, Sun‐Yuan Kung	16
17	Collaborative PCA/DCA Learning Methods for Compressive Privacy 2017 ·ACM Transactions on Embedded Computing Systems ·Sun‐Yuan Kung, (unknown), J. Morris Chang, Pei-Yuan Wu	19
18	Cost-effective kernel ridge regression implementation for keystroke-based active authentication system 2014 ·Pei-Yuan Wu, (unknown), J. Morris Chang, Stephen B. Gilbert, Sun‐Yuan Kung	2
19	Capturing Cognitive Fingerprints from Keystroke Dynamics 2013 ·IT Professional ·J. Morris Chang, (unknown), (unknown), Norene Kelly, Pei-Yuan Wu, (unknown), Chris Chu, Stephen B. Gilbert, (unknown), Sun‐Yuan Kung	18
20	Perturbation regulated kernel regressors for supervised machine learning 2012 ·Sun‐Yuan Kung, Pei-Yuan Wu	1

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.

Explore authors with similar magnitude of impact