Baiying Lei

12.4k total citations · 4 hit papers
296 papers, 8.1k citations indexed

About

Baiying Lei is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, Baiying Lei has authored 296 papers receiving a total of 8.1k indexed citations (citations by other indexed papers that have themselves been cited), including 110 papers in Artificial Intelligence, 108 papers in Computer Vision and Pattern Recognition and 96 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Baiying Lei's work include AI in cancer detection (63 papers), Radiomics and Machine Learning in Medical Imaging (34 papers) and Functional Brain Connectivity Studies (31 papers). Baiying Lei is often cited by papers focused on AI in cancer detection (63 papers), Radiomics and Machine Learning in Medical Imaging (34 papers) and Functional Brain Connectivity Studies (31 papers). Baiying Lei collaborates with scholars based in China, Hong Kong and United States. Baiying Lei's co-authors include Tianfu Wang, Dong Ni, Siping Chen, Feng Zhou, Jing Qin, Ahmed Elazab, Shuqiang Wang, Haijun Lei, Huisi Wu and Ing Yann Soon and has published in prestigious journals such as PLoS ONE, IEEE Transactions on Pattern Analysis and Machine Intelligence and Scientific Reports.

In The Last Decade

Baiying Lei

274 papers receiving 7.9k 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.

Deep Learning in Medical Ultrasound Analysis: A Review

2019 521 citations Yi Wang, Baiying Lei et al. profile →
FAT-Net: Feature adaptive transformers for automated skin lesion segmentation

2021 365 citations Huisi Wu, Baiying Lei et al. Medical Image Analysis profile →
SCS-Net: A Scale and Context Sensitive Network for Retinal Vessel Segmentation

2021 180 citations Huisi Wu, Baiying Lei et al. Medical Image Analysis profile →
Prior-Guided Adversarial Learning With Hypergraph for Predicting Abnormal Connections in Alzheimer’s Disease

2024 46 citations Qiankun Zuo, Huisi Wu et al. profile →

Peers

Countries citing papers authored by Baiying Lei

Since Specialization

Citations

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

Fields of papers citing papers by Baiying Lei

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Baiying Lei

This figure shows the co-authorship network connecting the top 25 collaborators of Baiying Lei. A scholar is included among the top collaborators of Baiying Lei 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 Baiying Lei. Baiying Lei 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	Federated Pseudo Modality Generation for Incomplete Multi-Modal MRI Reconstruction 2025 ·IEEE Journal of Biomedical and Health Informatics ·Yunlu Yan, Chun-Mei Feng, Yuexiang Li, Ping Li, Rick Siow Mong Goh, Baiying Lei, Weiming Wang, Dagan Feng, Lei Zhu	1
2	CMRVAE: Contrastive margin-restrained variational auto-encoder for class-separated domain adaptation in cardiac segmentation 2024 ·Knowledge-Based Systems ·(unknown), Rui Wang, (unknown), Bin Xiao, (unknown), Baobin Li, (unknown), Weisheng Li, Xinbo Gao, Baiying Lei	3
3	Alzheimer’s disease diagnosis from multi-modal data via feature inductive learning and dual multilevel graph neural network 2024 ·Medical Image Analysis ·Baiying Lei, (unknown), Wanyi Fu, Peng Yang, Shaobin Chen, Tianfu Wang, Xiaohua Xiao, Tianye Niu, (unknown), Shuqiang Wang, Hongbin Han, Jing Qin	19
4	A New Brain Network Construction Paradigm for Brain Disorder via Diffusion-Based Graph Contrastive Learning 2024 ·IEEE Transactions on Pattern Analysis and Machine Intelligence ·(unknown), Qiankun Zuo, Michael K. Ng, Baiying Lei, Shuqiang Wang	40
5	RSSL: A Unified Reliability-Aware Semi-Supervised Learning Framework for Medical Image Classification 2024 ·IEEE Transactions on Emerging Topics in Computational Intelligence ·Wenlong Hang, (unknown), Shuang Liang, Yuan Wu, Hui Liu, Qiong Wang, Ping Liu, Baiying Lei, Jing Qin	0
6	DecGAN: Decoupling Generative Adversarial Network for Detecting Abnormal Neural Circuits in Alzheimer's Disease 2024 ·IEEE Transactions on Artificial Intelligence ·(unknown), Qiankun Zuo, Bing-Chuan Wang, C. L. Philip Chen, Baiying Lei, Shuqiang Wang	23
7	BDHT: Generative AI Enables Causality Analysis for Mild Cognitive Impairment 2024 ·IEEE Transactions on Automation Science and Engineering ·Qiankun Zuo, Ling Chen, Yanyan Shen, Michael K. Ng, Baiying Lei, Shuqiang Wang	10
8	Structure invariance-driven collaborative contrastive network for EEG decoding 2023 ·Biomedical Signal Processing and Control ·Shuang Liang, Zengguang Li, Wenlong Hang, Yuanpeng Zhang, Baiying Lei, Jing Qin, (unknown), Kup‐Sze Choi	1
9	SpecTr: Spectral Transformer for Microscopic Hyperspectral Pathology Image Segmentation 2023 ·IEEE Transactions on Circuits and Systems for Video Technology ·(unknown), Baiying Lei, Jieneng Chen, Huiyu Wang, (unknown), Wei Shen, Qingli Li, (unknown)	26
10	MHW-GAN: Multidiscriminator Hierarchical Wavelet Generative Adversarial Network for Multimodal Image Fusion 2023 ·IEEE Transactions on Neural Networks and Learning Systems ·(unknown), Peng Yang, Feng Zhou, Guanghui Yue, Shuigen Wang, Huisi Wu, Guoliang Chen, Tianfu Wang, Baiying Lei	8
11	Morphological Feature Visualization of Alzheimer’s Disease via Multidirectional Perception GAN 2022 ·IEEE Transactions on Neural Networks and Learning Systems ·Yu Wen, Baiying Lei, Shuqiang Wang, Yong Liu, Zhiguang Feng, Yong Hu, Yanyan Shen, Michael K. Ng	87
12	Unsupervised domain selective graph convolutional network for preoperative prediction of lymph node metastasis in gastric cancer 2022 ·Medical Image Analysis ·Yongtao Zhang, Ning Yuan, Zhiguo Zhang, Jie Du, Tianfu Wang, Bing Liu, (unknown), (unknown), Guolin Ma, Baiying Lei	13
13	TA-GAN: transformer-driven addiction-perception generative adversarial network 2022 ·Neural Computing and Applications ·(unknown), (unknown), Zuxin Chen, Baiying Lei, Shuqiang Wang	9
14	AIDAN: An Attention-Guided Dual-Path Network for Pediatric Echocardiography Segmentation 2020 ·IEEE Access ·(unknown), (unknown), (unknown), (unknown), Jie Du, (unknown), Alejandro F. Frangi, Baiying Lei, Tianfu Wang	22
15	Graph convolution network with similarity awareness and adaptive calibration for disease-induced deterioration prediction 2020 ·Medical Image Analysis ·Xuegang Song, Feng Zhou, Alejandro F. Frangi, Jiuwen Cao, Xiaohua Xiao, Yi Lei, Tianfu Wang, Baiying Lei	83
16	Self-calibrated brain network estimation and joint non-convex multi-task learning for identification of early Alzheimer's disease 2020 ·Medical Image Analysis ·Baiying Lei, (unknown), Alejandro F. Frangi, E.C. Tan, Jiuwen Cao, Peng Yang, Ahmed Elazab, Jie Du, Yanwu Xu, Tianfu Wang	61
17	Skin lesion segmentation via generative adversarial networks with dual discriminators 2020 ·Medical Image Analysis ·Baiying Lei, (unknown), Feng Jiang, Xudong Jiang, Zongyuan Ge, Yanwu Xu, Jing Qin, Siping Chen, Tianfu Wang, Shuqiang Wang	193
18	A Dense Phase Descriptor for Human Ear Recognition 2018 ·IEEE Access ·Mohamad Mahmoud Al Rahhal, Mohamed Lamine Mekhalfi, Mawloud Guermoui, Esam Othman, Baiying Lei, Awais Mahmood	14
19	Dense Deconvolutional Network for Skin Lesion Segmentation 2018 ·IEEE Journal of Biomedical and Health Informatics ·Hang Li, Xinzi He, Feng Zhou, (unknown), Dong Ni, Siping Chen, Tianfu Wang, Baiying Lei	124
20	Automatic Fetal Head Circumference Measurement in Ultrasound Using Random Forest and Fast Ellipse Fitting 2017 ·IEEE Journal of Biomedical and Health Informatics ·Jing Li, Yi Wang, Baiying Lei, Jie‐Zhi Cheng, Jing Qin, Tianfu Wang, Shengli Li, Dong Ni	72

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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