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

Jiangang Chen

RNMI

PRM

CVPR

Jannis Born Switzerland

Zhen Zhou China

Yongchang Zheng China

Xiang Zhang China

Thi My Linh Tran United States

Cheng Jin China

Yoshiko Yamashita Japan

Shengtian Sang United States

Jing Jiao China

Xiayu Xu China

Jannis Born Switzerland

Jiangang Chen

243 ×1.0

RNMI

316 ×1.7

133 ×1.2

56 ×0.6

PRM

25 ×0.3

CVPR

Citations per year, relative to Jiangang Chen Jiangang Chen (= 1×) peers Jannis Born

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

Jiang, Hao, Chen Zhu, Fengqiang Sun, et al.. (2025). Fiber Transistors as a Hardware Surrogate Gradient for Backpropagation in Spiking Neural Networks. Advanced Materials. 38(6). e14904–e14904.

Yang, Lei, Xiaoyu Shen, Yiman Liu, et al.. (2025). Development and Validation of KCPREDICT: A Deep Learning Model for Early Detection of Coronary Artery Lesions in Kawasaki Disease Patients. Pediatric Cardiology. 47(1). 266–275.

Chen, Jiangang, Qirui Zhang, Ge Wang, et al.. (2025). 2D Van Der Waals Ferroelectric Materials and Devices for Neuromorphic Computing. Small. 21(29). e2412761–e2412761. 2 indexed citations

Liu, Xiaohong, Wei Ke, Chan‐Tong Lam, et al.. (2024). Distance guided generative adversarial network for explainable medical image classifications. Computerized Medical Imaging and Graphics. 118. 102444–102444.

Han, Xiaoxiang, et al.. (2024). Intelligent diagnosis of atrial septal defect in children using echocardiography with deep learning. Virtual Reality & Intelligent Hardware. 6(3). 217–225.

Xiang, Yifan, et al.. (2024). Retinal Blood Vessels Segmentation With Improved SE‐UNet Model. International Journal of Imaging Systems and Technology. 34(4). 3 indexed citations

Xing, Wenyu, Chao He, Yiman Liu, et al.. (2024). Combining quantitative and qualitative analysis for scoring pleural line in lung ultrasound. Physics in Medicine and Biology. 69(9). 95008–95008. 1 indexed citations

Wang, Yu, et al.. (2024). Deep learning based ultrasound analysis facilitates precise distinction between parotid pleomorphic adenoma and Warthin tumor. Frontiers in Oncology. 14. 1337631–1337631. 1 indexed citations

Jin, Anqi, Jin Zhou, Na Li, et al.. (2023). Differentiation between Phyllodes Tumors and Fibroadenomas through Breast Ultrasound: Deep-Learning Model Outperforms Ultrasound Physicians. Sensors. 23(11). 5099–5099. 3 indexed citations

10.

Sheng, Danli, Jiangang Chen, Chao You, et al.. (2023). Artificial intelligence in breast imaging: potentials and challenges. Physics in Medicine and Biology. 68(23). 23TR01–23TR01. 10 indexed citations

11.

Chen, Jiangang, et al.. (2023). Ultrasonic evaluation of fetal lung development using deep learning with graph. Displays. 78. 102451–102451. 1 indexed citations

12.

Xing, Wenyu, Yiwen Liu, Chao He, et al.. (2023). Frame-to-video-based Semi-supervised Lung Ultrasound Scoring Model. 1–4. 1 indexed citations

13.

Xing, Wenyu, Chao He, Jiawei Li, et al.. (2022). Automated lung ultrasound scoring for evaluation of coronavirus disease 2019 pneumonia using two-stage cascaded deep learning model. Biomedical Signal Processing and Control. 75. 103561–103561. 19 indexed citations

14.

Shi, Zhenduo, Lin Hao, Xiaoxiao Han, et al.. (2022). Targeting HNRNPU to overcome cisplatin resistance in bladder cancer. Molecular Cancer. 21(1). 37–37. 77 indexed citations

15.

Huang, Qinghua, Wenyu Xing, Chao He, et al.. (2022). Evaluation of Pulmonary Edema Using Ultrasound Imaging in Patients With COVID-19 Pneumonia Based on a Non-local Channel Attention ResNet. Ultrasound in Medicine & Biology. 48(5). 945–953. 15 indexed citations

16.

Zhang, Junjie, Yang Dong, Zhenduo Shi, et al.. (2022). P3H4 and PLOD1 expression associates with poor prognosis in bladder cancer. Clinical & Translational Oncology. 24(8). 1524–1532. 7 indexed citations

17.

Li, Jiawei, et al.. (2021). Ultrasonographic Segmentation of Fetal Lung with Deep Learning. Journal of Biosciences and Medicines. 9(1). 146–153. 3 indexed citations

18.

Li, Jiawei, et al.. (2021). Prediction for pathological and immunohistochemical characteristics of triple-negative invasive breast carcinomas: the performance comparison between quantitative and qualitative sonographic feature analysis. European Radiology. 32(3). 1590–1600. 16 indexed citations

19.

Shahmirzadi, Danial, et al.. (2013). Ex Vivo Characterization of Canine Liver Tissue Viscoelasticity after High-Intensity Focused Ultrasound Ablation. Ultrasound in Medicine & Biology. 40(2). 341–350. 16 indexed citations

20.

Chen, Jiangang. (2008). Authorization delegation mechanism based trust level in grid computing. Journal of Communications. 3 indexed citations

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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