Jiangang Chen

1.1k total citations
63 papers, 659 citations indexed

About

Jiangang Chen is a scholar working on Radiology, Nuclear Medicine and Imaging, Pulmonary and Respiratory Medicine and Surgery. According to data from OpenAlex, Jiangang Chen has authored 63 papers receiving a total of 659 indexed citations (citations by other indexed papers that have themselves been cited), including 26 papers in Radiology, Nuclear Medicine and Imaging, 17 papers in Pulmonary and Respiratory Medicine and 13 papers in Surgery. Recurrent topics in Jiangang Chen's work include Ultrasound in Clinical Applications (12 papers), AI in cancer detection (9 papers) and Radiomics and Machine Learning in Medical Imaging (8 papers). Jiangang Chen is often cited by papers focused on Ultrasound in Clinical Applications (12 papers), AI in cancer detection (9 papers) and Radiomics and Machine Learning in Medical Imaging (8 papers). Jiangang Chen collaborates with scholars based in China, United States and United Kingdom. Jiangang Chen's co-authors include Qingli Li, K. N. Houk, Sun Li, Donald Hilvert, Qiaolin Deng, Menghan Hu, Yan Wang, Mei Zhou, Jian Xu and Ian A. Wilson and has published in prestigious journals such as Science, Advanced Materials and Biochemical and Biophysical Research Communications.

In The Last Decade

Jiangang Chen

55 papers receiving 644 citations

Peers

Countries citing papers authored by Jiangang Chen

Since Specialization

Citations

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

Fields of papers citing papers by Jiangang Chen

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jiangang Chen

This figure shows the co-authorship network connecting the top 25 collaborators of Jiangang Chen. A scholar is included among the top collaborators of Jiangang Chen 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 Jiangang Chen. Jiangang Chen 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	Fiber Transistors as a Hardware Surrogate Gradient for Backpropagation in Spiking Neural Networks 2025 ·Advanced Materials ·(unknown), Hao Jiang, (unknown), (unknown), (unknown), (unknown), Chen Zhu, (unknown), Fengqiang Sun, (unknown), Jiangang Chen, Liang‐Wen Feng, Hongzhi Wang, Meifang Zhu, Hengda Sun, Gang Wang	0
2	Development and Validation of KCPREDICT: A Deep Learning Model for Early Detection of Coronary Artery Lesions in Kawasaki Disease Patients 2025 ·Pediatric Cardiology ·Lei Yang, Xiaoyu Shen, Yiman Liu, Jiangang Chen, (unknown), Li‐Hao Xu, Wei Ji, Yuqi Zhang, (unknown), Qing Cao	0
3	2D Van Der Waals Ferroelectric Materials and Devices for Neuromorphic Computing 2025 ·Small ·(unknown), Jiangang Chen, Qirui Zhang, Ge Wang, Xuemei Wang, Fan Yang, Fucai Liu, Xiao Luo	2
4	Distance guided generative adversarial network for explainable medical image classifications 2024 ·Computerized Medical Imaging and Graphics ·(unknown), (unknown), Xiaohong Liu, Wei Ke, Chan‐Tong Lam, Jiangang Chen, Mingfeng Jiang, Mingwei Wang, Hui Xie, Tong Tong, Qinquan Gao, Hao Chen, (unknown)	0
5	Intelligent diagnosis of atrial septal defect in children using echocardiography with deep learning 2024 ·Virtual Reality & Intelligent Hardware ·(unknown), (unknown), Xiaoxiang Han, (unknown), Menghan Hu, Xin Wang, (unknown), (unknown), Qingli Li, Jiangang Chen	0
6	Retinal Blood Vessels Segmentation With Improved SE‐UNet Model 2024 ·International Journal of Imaging Systems and Technology ·(unknown), (unknown), (unknown), Yifan Xiang, (unknown), Minglei Yang, (unknown), Jiangang Chen	3
7	Combining quantitative and qualitative analysis for scoring pleural line in lung ultrasound 2024 ·Physics in Medicine and Biology ·Wenyu Xing, Chao He, (unknown), Yiman Liu, Zhibin Zhu, Qingli Li, Wenfang Li, Jiangang Chen, Dean Ta	1
8	Deep learning based ultrasound analysis facilitates precise distinction between parotid pleomorphic adenoma and Warthin tumor 2024 ·Frontiers in Oncology ·(unknown), (unknown), (unknown), (unknown), Yu Wang, Jionglong Su, Cai Chang, (unknown), Jiangang Chen, Jiawei Li	1
9	Differentiation between Phyllodes Tumors and Fibroadenomas through Breast Ultrasound: Deep-Learning Model Outperforms Ultrasound Physicians 2023 ·Sensors ·(unknown), (unknown), (unknown), Anqi Jin, Jin Zhou, Na Li, Danli Sheng, Cai Chang, Jiangang Chen, Jiawei Li	3
10	Artificial intelligence in breast imaging: potentials and challenges 2023 ·Physics in Medicine and Biology ·(unknown), Danli Sheng, Jiangang Chen, Chao You, Shuai Liu, Huixiong Xu, Cai Chang	10
11	Ultrasonic evaluation of fetal lung development using deep learning with graph 2023 ·Displays ·Jiangang Chen, (unknown), (unknown), (unknown), Minglei Yang, (unknown), Qingli Li, Tao Tan, Xuedong Deng, (unknown)	1
12	Frame-to-video-based Semi-supervised Lung Ultrasound Scoring Model 2023 ·Wenyu Xing, Yiwen Liu, Chao He, Xin Liu, Yifang Li, Wenfang Li, Jiangang Chen, Dean Ta	1
13	Automated lung ultrasound scoring for evaluation of coronavirus disease 2019 pneumonia using two-stage cascaded deep learning model 2022 ·Biomedical Signal Processing and Control ·Wenyu Xing, Chao He, Jiawei Li, Wei Qin, Minglei Yang, Guannan Li, Qingli Li, Dean Ta, (unknown), Wenfang Li, Jiangang Chen	19
14	Targeting HNRNPU to overcome cisplatin resistance in bladder cancer 2022 ·Molecular Cancer ·Zhenduo Shi, Lin Hao, Xiaoxiao Han, Zhuo‐Xun Wu, Kun Pang, Yang Dong, Jiaxin Qin, Guangyue Wang, Xuanming Zhang, Tian Xia, Qing Liang, Yan Zhao, Rui Li, Shaoqi Zhang, (unknown), Jiangang Chen, Gongcheng Wang, Zhe‐Sheng Chen, Conghui Han	77
15	Evaluation of Pulmonary Edema Using Ultrasound Imaging in Patients With COVID-19 Pneumonia Based on a Non-local Channel Attention ResNet 2022 ·Ultrasound in Medicine & Biology ·Qinghua Huang, (unknown), Wenyu Xing, Chao He, (unknown), (unknown), (unknown), Guannan Li, Yan Wang, Qingli Li, Xuelong Li, Wenfang Li, Jiangang Chen	15
16	P3H4 and PLOD1 expression associates with poor prognosis in bladder cancer 2022 ·Clinical & Translational Oncology ·Junjie Zhang, Yang Dong, Zhenduo Shi, (unknown), Jiangang Chen, Shaoqi Zhang, Wei Wu, (unknown), Conghui Han, Lin Hao	7
17	Ultrasonographic Segmentation of Fetal Lung with Deep Learning 2021 ·Journal of Biosciences and Medicines ·(unknown), Jiawei Li, Qinghua Huang, (unknown), (unknown), (unknown), Xuedong Deng, Qingli Li, Jiangang Chen	3
18	Prediction for pathological and immunohistochemical characteristics of triple-negative invasive breast carcinomas: the performance comparison between quantitative and qualitative sonographic feature analysis 2021 ·European Radiology ·Jiawei Li, (unknown), Zhijin Zhao, (unknown), (unknown), Cai Chang, Jiangang Chen	16
19	Ex Vivo Characterization of Canine Liver Tissue Viscoelasticity after High-Intensity Focused Ultrasound Ablation 2013 ·Ultrasound in Medicine & Biology ·Danial Shahmirzadi, (unknown), Jiangang Chen, Elisa E. Konofagou	16
20	Authorization delegation mechanism based trust level in grid computing 2008 ·Journal of Communications ·Jiangang Chen	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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