Peixi Liao

3.6k total citations · 3 hit papers
29 papers, 2.4k citations indexed

About

Peixi Liao is a scholar working on Biomedical Engineering, Radiology, Nuclear Medicine and Imaging and Oral Surgery. According to data from OpenAlex, Peixi Liao has authored 29 papers receiving a total of 2.4k indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Biomedical Engineering, 13 papers in Radiology, Nuclear Medicine and Imaging and 11 papers in Oral Surgery. Recurrent topics in Peixi Liao's work include Advanced X-ray and CT Imaging (12 papers), Medical Imaging Techniques and Applications (11 papers) and Dental Radiography and Imaging (9 papers). Peixi Liao is often cited by papers focused on Advanced X-ray and CT Imaging (12 papers), Medical Imaging Techniques and Applications (11 papers) and Dental Radiography and Imaging (9 papers). Peixi Liao collaborates with scholars based in China, United States and Hong Kong. Peixi Liao's co-authors include Hu Chen, Yi Zhang, Ge Wang, Jiliu Zhou, Feng Lin, Mannudeep K. Kalra, Yang Chen, Ke Li, Weihua Zhang and Huaiqiang Sun and has published in prestigious journals such as PLoS ONE, IEEE Transactions on Medical Imaging and Journal of Endodontics.

In The Last Decade

Peixi Liao

26 papers receiving 2.3k citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Low-Dose CT With a Residual Encoder-Decoder Convolutional Neural Network

2017 1.2k citations Hu Chen, Yi Zhang et al. IEEE Transactions on Medical Imaging profile →
aLow-dose CT via convolutional neural network

2017 515 citations Hu Chen, Yi Zhang et al. Biomedical Optics Express profile →
LEARN: Learned Experts’ Assessment-Based Reconstruction Network for Sparse-Data CT

2018 303 citations Hu Chen, Yi Zhang et al. IEEE Transactions on Medical Imaging profile →

Peers

Countries citing papers authored by Peixi Liao

Since Specialization

Citations

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

Fields of papers citing papers by Peixi Liao

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Peixi Liao

This figure shows the co-authorship network connecting the top 25 collaborators of Peixi Liao. A scholar is included among the top collaborators of Peixi Liao 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 Peixi Liao. Peixi Liao 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	Bi-Constraints Diffusion: A Conditional Diffusion Model With Degradation Guidance for Metal Artifact Reduction 2024 ·IEEE Transactions on Medical Imaging ·(unknown), Nan Zhou, Tao Wang, (unknown), Wang Wang, Hu Chen, Peixi Liao, Yi Zhang	2
2	Weakly supervised low-dose computed tomography denoising based on generative adversarial networks 2024 ·Quantitative Imaging in Medicine and Surgery ·Peixi Liao, (unknown), Yaoyao Wu, (unknown), Wenchao Du, Hong Liu, Hongyu Yang, Yi Zhang	1
3	Dental X-ray Segmentation and Auto Implant Design Based on Convolutional Neural Network 2024 ·Xing Yang, Peixi Liao, (unknown), (unknown), (unknown)	0
4	Solving Zero-Shot Sparse-View CT Reconstruction With Variational Score Solver 2024 ·IEEE Transactions on Medical Imaging ·(unknown), Wenchao Du, Peixi Liao, Fenglei Fan, Hu Chen, (unknown), Yi Zhang	0
5	FAM-Former: Global Transformer and Feature Aggregation Module for Knee MRI Age Estimation 2023 ·IEEE Transactions on Instrumentation and Measurement ·(unknown), (unknown), (unknown), (unknown), Peixi Liao, Wenchao Du, Hu Chen, Zhenhua Deng, Yi Zhang	1
6	Guided Access Cavity Preparation Using Cost-Effective 3D Printers 2022 ·Journal of Endodontics ·(unknown), (unknown), Peixi Liao, Hongsheng Liu	13
7	ERA-WGAT: Edge-enhanced residual autoencoder with a window-based graph attention convolutional network for low-dose CT denoising 2022 ·Biomedical Optics Express ·Han Liu, Peixi Liao, Hu Chen, Yi Zhang	9
8	Human identification performed with skull’s sphenoid sinus based on deep learning 2022 ·International Journal of Legal Medicine ·(unknown), (unknown), Fei Fan, Peixi Liao, Hu Chen, Yi Zhang, Zhenhua Deng, Weiqiang Lv	8
9	A fine-grained network for human identification using panoramic dental images 2022 ·Patterns ·Hu Chen, (unknown), Peixi Liao, (unknown), Fei Fan, Yi Lin, Zhenhua Deng, Yi Zhang	2
10	DHI-GAN: Improving Dental-Based Human Identification Using Generative Adversarial Networks 2022 ·IEEE Transactions on Neural Networks and Learning Systems ·Yi Lin, Fei Fan, Jianwei Zhang, (unknown), Peixi Liao, Hu Chen, Zhenhua Deng, Yi Zhang	6
11	Digital Applications of Maxillofacial Reconstruction– A systematic review 2021 ·(unknown), (unknown), (unknown), Po‐Hsu Chen, Peixi Liao	1
12	Evaluation of Temporomandibular Joint Dysfunction by A Mandibular Tracing System: A Case Report 2020 ·Peixi Liao	1
13	Automatic human identification from panoramic dental radiographs using the convolutional neural network 2020 ·Forensic Science International ·Fei Fan, (unknown), Wei Wu, (unknown), (unknown), Yuanyuan Liu, Peixi Liao, Xinhua Dai, Hu Chen, Zhenhua Deng	31
14	Biological Gender Estimation from Panoramic Dental X-ray Images Based on Multiple Feature Fusion Model 2020 ·Sensing and Imaging ·(unknown), Fei Fan, Peixi Liao, (unknown), (unknown), Wenchao Du, Hu Chen, Zhenhua Deng, Yi Zhang	10
15	Evaluation of maxillary anterior teeth width: A systematic review 2019 ·Journal of Prosthetic Dentistry ·Peixi Liao, Yuwei Fan, Dan Nathanson	24
16	Learned Experts' Assessment-based Reconstruction Network ("LEARN") for Sparse-data CT. 2017 ·arXiv (Cornell University) ·Hu Chen, Yi Zhang, Weihua Zhang, Huaiqiang Sun, Peixi Liao, Kun He, Jiliu Zhou, Ge Wang	3
17	Low-Dose CT With a Residual Encoder-Decoder Convolutional Neural Network breakdown → 2017 ·IEEE Transactions on Medical Imaging ·Hu Chen, Yi Zhang, Mannudeep K. Kalra, Feng Lin, Yang Chen, Peixi Liao, Jiliu Zhou, Ge Wang	1209
18	Stacked competitive networks for noise reduction in low-dose CT 2017 ·PLoS ONE ·Wenchao Du, Hu Chen, Zhihong Wu, Huaiqiang Sun, Peixi Liao, Yi Zhang	20
19	aLow-dose CT via convolutional neural network breakdown → 2017 ·Biomedical Optics Express ·Hu Chen, Yi Zhang, Weihua Zhang, Peixi Liao, Ke Li, Jiliu Zhou, Ge Wang	515
20	The effect of chronic periodontitis on serum levels of matrix metalloproteinase-2 (MMP-2), tissue inhibitor of metalloproteinase-1 (TIMP-1), interleukin-12 (IL-12) and granulocyte-macrophage colony-stimulating factor (GM-CSF) 2011 ·AFRICAN JOURNAL OF BIOTECHNOLOGY ·Peixi Liao, Wings TY Loo, Guangyue Li, (unknown), Min Wang, Mary Cheung, Ziyuan Luo	3

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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