Jie Du

1.4k total citations
42 papers, 957 citations indexed

About

Jie Du is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, Jie Du has authored 42 papers receiving a total of 957 indexed citations (citations by other indexed papers that have themselves been cited), including 21 papers in Computer Vision and Pattern Recognition, 19 papers in Artificial Intelligence and 12 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Jie Du's work include Advanced Neural Network Applications (12 papers), Machine Learning and ELM (6 papers) and Medical Image Segmentation Techniques (6 papers). Jie Du is often cited by papers focused on Advanced Neural Network Applications (12 papers), Machine Learning and ELM (6 papers) and Medical Image Segmentation Techniques (6 papers). Jie Du collaborates with scholars based in China, Macao and United States. Jie Du's co-authors include Chi‐Man Vong, Tianfu Wang, C. L. Philip Chen, Baiying Lei, Peng Liu, Yuanman Li, Jiuwen Cao, Jing Qin, Alejandro F. Frangi and Yongtao Zhang and has published in prestigious journals such as IEEE Transactions on Image Processing, IEEE Access and Energy.

In The Last Decade

Jie Du

39 papers receiving 941 citations

Peers

Countries citing papers authored by Jie Du

Since Specialization

Citations

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

Fields of papers citing papers by Jie Du

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jie Du

This figure shows the co-authorship network connecting the top 25 collaborators of Jie Du. A scholar is included among the top collaborators of Jie Du 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 Jie Du. Jie Du 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	FedPDN: Personalized Federated Learning With Interclass Similarity Constraint for Medical Image Classification Through Parameter Decoupling 2025 ·IEEE Transactions on Instrumentation and Measurement ·(unknown), Tianwei Zhou, Weide Liu, Jie Du, Tianfu Wang, Guanghui Yue	2
2	Context-CAM: Context-Level Weight-Based CAM With Sequential Denoising to Generate High-Quality Class Activation Maps 2025 ·IEEE Transactions on Image Processing ·Jie Du, Wenbing Chen, Chi‐Man Vong, Peng Liu, Tianfu Wang	1
3	Toward Semantically Faithful Diffusion Representation for Generalizable Retinal Image Segmentation 2025 ·IEEE Transactions on Medical Imaging ·(unknown), Hao Chen, Jing Qin, Yongtao Zhang, Lei Dong, Jie Du, Tianfu Wang, Baiying Lei	0
4	Progressive Region-to-Boundary Exploration Network for Camouflaged Object Detection 2024 ·IEEE Transactions on Multimedia ·Guanghui Yue, (unknown), Tianwei Zhou, (unknown), Jie Du, Yu Luo, Qiuping Jiang	3
5	Federated learning using model projection for multi-center disease diagnosis with non-IID data 2024 ·Neural Networks ·Jie Du, (unknown), (unknown), Chi‐Man Vong, (unknown), Baiying Lei, Tianfu Wang	4
6	A Synchronous Bi-Directional Framework With Temporally Dependent Interaction Modeling for Pedestrian Trajectory Prediction 2023 ·IEEE Transactions on Network Science and Engineering ·Yuanman Li, (unknown), (unknown), Jie Du, Jiantao Zhou, Xia Li	9
7	Coarse-Refined Consistency Learning Using Pixel-Level Features for Semi-Supervised Medical Image Segmentation 2023 ·IEEE Journal of Biomedical and Health Informatics ·Jie Du, (unknown), Peng Liu, Tianfu Wang	10
8	Class-Incremental Learning Method With Fast Update and High Retainability Based on Broad Learning System 2023 ·IEEE Transactions on Neural Networks and Learning Systems ·Jie Du, Peng Liu, Chi‐Man Vong, Chuangquan Chen, Tianfu Wang, C. L. Philip Chen	16
9	An Adaptive Deep Metric Learning Loss Function for Class-Imbalance Learning via Intraclass Diversity and Interclass Distillation 2023 ·IEEE Transactions on Neural Networks and Learning Systems ·Jie Du, (unknown), Peng Liu, Chi‐Man Vong, Tianfu Wang	12
10	Boundary-Sensitive Loss Function With Location Constraint for Hard Region Segmentation 2022 ·IEEE Journal of Biomedical and Health Informatics ·Jie Du, (unknown), (unknown), Yuanman Li, Tianfu Wang	13
11	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
12	Trajectory Forecasting Based on Prior-Aware Directed Graph Convolutional Neural Network 2022 ·IEEE Transactions on Intelligent Transportation Systems ·(unknown), Jie Du, Yuanman Li, Xia Li, (unknown), Zhongyun Hua, Jiantao Zhou	51
13	Parameter-Free Loss for Class-Imbalanced Deep Learning in Image Classification 2021 ·IEEE Transactions on Neural Networks and Learning Systems ·Jie Du, Yanhong Zhou, Peng Liu, Chi‐Man Vong, Tianfu Wang	32
14	Dual attention enhancement feature fusion network for segmentation and quantitative analysis of paediatric echocardiography 2021 ·Medical Image Analysis ·(unknown), Baiying Lei, Weiling Chen, Jie Du, Alejandro F. Frangi, Jing Qin, (unknown), Pengpeng Shi, (unknown), Tianfu Wang	49
15	3D Multi-Attention Guided Multi-Task Learning Network for Automatic Gastric Tumor Segmentation and Lymph Node Classification 2021 ·IEEE Transactions on Medical Imaging ·Yongtao Zhang, (unknown), Jie Du, Jing Qin, Tianfu Wang, Yue Chen, Bing Liu, Wenwen Gao, Guolin Ma, Baiying Lei	92
16	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
17	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
18	Accurate and efficient sequential ensemble learning for highly imbalanced multi-class data 2020 ·Neural Networks ·Chi‐Man Vong, Jie Du	36
19	Novel Efficient RNN and LSTM-Like Architectures: Recurrent and Gated Broad Learning Systems and Their Applications for Text Classification 2020 ·IEEE Transactions on Cybernetics ·Jie Du, Chi‐Man Vong, C. L. Philip Chen	149
20	Postboosting Using Extended G-Mean for Online Sequential Multiclass Imbalance Learning 2018 ·IEEE Transactions on Neural Networks and Learning Systems ·Chi‐Man Vong, Jie Du, (unknown), Jiuwen Cao	30

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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