Rongjun Ge

1.0k total citations
35 papers, 657 citations indexed

About

Rongjun Ge is a scholar working on Radiology, Nuclear Medicine and Imaging, Computer Vision and Pattern Recognition and Biomedical Engineering. According to data from OpenAlex, Rongjun Ge has authored 35 papers receiving a total of 657 indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Radiology, Nuclear Medicine and Imaging, 15 papers in Computer Vision and Pattern Recognition and 12 papers in Biomedical Engineering. Recurrent topics in Rongjun Ge's work include Radiomics and Machine Learning in Medical Imaging (7 papers), Advanced X-ray and CT Imaging (7 papers) and Medical Imaging Techniques and Applications (6 papers). Rongjun Ge is often cited by papers focused on Radiomics and Machine Learning in Medical Imaging (7 papers), Advanced X-ray and CT Imaging (7 papers) and Medical Imaging Techniques and Applications (6 papers). Rongjun Ge collaborates with scholars based in China, France and Canada. Rongjun Ge's co-authors include Yang Chen, Limin Luo, Guanyu Yang, Shuo Li, Gouenou Coatrieux, Daoqiang Zhang, Yuting He, Jean-Louis Coatrieux, Jiasong Wu and Haipeng Si and has published in prestigious journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, IEEE Transactions on Industrial Electronics and IEEE Access.

In The Last Decade

Rongjun Ge

34 papers receiving 635 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
Rongjun Ge China	16	305	271	220	133	80	35	657
Shanhui Sun United States	14	361 1.2×	265 1.0×	140 0.6×	139 1.0×	123 1.5×	31	677
Stefanie Demirci Germany	12	268 0.9×	268 1.0×	129 0.6×	347 2.6×	106 1.3×	22	718
Zhan Wu China	12	302 1.0×	252 0.9×	136 0.6×	82 0.6×	80 1.0×	28	589
Chenchu Xu China	15	368 1.2×	245 0.9×	185 0.8×	105 0.8×	51 0.6×	35	741
Mei Zhou China	17	404 1.3×	449 1.7×	215 1.0×	266 2.0×	26 0.3×	68	1.1k
Kuan‐Hao Su United States	16	507 1.7×	182 0.7×	212 1.0×	149 1.1×	81 1.0×	40	853
Rudi Deklerck Belgium	16	384 1.3×	401 1.5×	232 1.1×	210 1.6×	214 2.7×	54	946
Benqiang Yang China	16	222 0.7×	379 1.4×	120 0.5×	116 0.9×	183 2.3×	90	920
Dzhoshkun I. Shakir United Kingdom	9	221 0.7×	160 0.6×	105 0.5×	131 1.0×	50 0.6×	22	532
Jiwoong Jeong United States	12	244 0.8×	95 0.4×	127 0.6×	168 1.3×	83 1.0×	34	609

Countries citing papers authored by Rongjun Ge

Since Specialization

Citations

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

Fields of papers citing papers by Rongjun Ge

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Rongjun Ge

This figure shows the co-authorship network connecting the top 25 collaborators of Rongjun Ge. A scholar is included among the top collaborators of Rongjun Ge 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 Rongjun Ge. Rongjun Ge 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

He, Yuting, Boyu Wang, Rongjun Ge, et al.. (2025). Homeomorphism Prior for False Positive and Negative Problem in Medical Image Dense Contrastive Representation Learning. IEEE Transactions on Pattern Analysis and Machine Intelligence. 47(5). 4122–4139. 1 indexed citations

Chen, Yang, Guangquan Zhou, Rongjun Ge, et al.. (2024). GFA-Net: Global Feature Aggregation Network Based on Contrastive Learning for Breast Lesion Automated Segmentation in Ultrasound Images. IEEE Transactions on Instrumentation and Measurement. 74. 1–14. 2 indexed citations

Liao, Shengen, et al.. (2024). Deep learning prediction of survival in patients with heart failure using chest radiographs. The International Journal of Cardiovascular Imaging. 40(9). 1891–1901. 1 indexed citations

Hu, Xuegang, Rongjun Ge, Chenchu Xu, et al.. (2024). Prediction of Freezing of Gait in Parkinson’s disease based on multi-channel time-series neural network. Artificial Intelligence in Medicine. 154. 102932–102932. 6 indexed citations

Gao, Yuan, Hui Tang, Rongjun Ge, et al.. (2023). 3DSRNet: 3-D Spine Reconstruction Network Using 2-D Orthogonal X-Ray Images Based on Deep Learning. IEEE Transactions on Instrumentation and Measurement. 72. 1–14. 11 indexed citations

Ge, Rongjun, Yang Chen, Hailong Zhang, et al.. (2023). Improving anisotropy resolution of computed tomography and annotation using 3D super-resolution network. Biomedical Signal Processing and Control. 82. 104590–104590. 7 indexed citations

Gao, Yuan, Han Chen, Rongjun Ge, et al.. (2022). Deep learning-based framework for segmentation of multiclass rib fractures in CT utilizing a multi-angle projection network. International Journal of Computer Assisted Radiology and Surgery. 17(6). 1115–1124. 6 indexed citations

Li, Zhongnian, et al.. (2022). Low-Dose CT Denoising via Sinogram Inner-Structure Transformer. IEEE Transactions on Medical Imaging. 42(4). 910–921. 65 indexed citations

Ge, Rongjun, et al.. (2022). Learning Projection Views for Sparse-View CT Reconstruction. Proceedings of the 30th ACM International Conference on Multimedia. 2645–2653. 6 indexed citations

10.

He, Yuting, Rongjun Ge, Xiaoming Qi, et al.. (2022). Learning Better Registration to Learn Better Few-Shot Medical Image Segmentation: Authenticity, Diversity, and Robustness. IEEE Transactions on Neural Networks and Learning Systems. 35(2). 2588–2601. 24 indexed citations

11.

Zhang, Yikun, Rongjun Ge, Qianlong Zhao, et al.. (2021). CD-Net: Comprehensive Domain Network With Spectral Complementary for DECT Sparse-View Reconstruction. IEEE Transactions on Computational Imaging. 7. 436–447. 36 indexed citations

12.

Ge, Rongjun, Ying Zhou, Chengyu Liu, et al.. (2021). Convolutional squeeze-and-excitation network for ECG arrhythmia detection. Artificial Intelligence in Medicine. 121. 102181–102181. 24 indexed citations

13.

He, Yuting, Guanyu Yang, Jian Yang, et al.. (2021). Meta grayscale adaptive network for 3D integrated renal structures segmentation. Medical Image Analysis. 71. 102055–102055. 28 indexed citations

14.

Wu, Zhan, Rongjun Ge, Yang Chen, et al.. (2021). Automatic Patient-Level Detection of Coronavirus Disease (COVID-19) Using Convolutional Neural Network from Lung CT Scans. Journal of Medical Imaging and Health Informatics. 11(11). 2722–2732.

15.

Wu, Zhan, Rongjun Ge, Lu Zhang, et al.. (2020). MD-NDNet: a multi-dimensional convolutional neural network for false-positive reduction in pulmonary nodule detection. Physics in Medicine and Biology. 65(23). 235053–235053. 16 indexed citations

16.

Wu, Zhan, Rongjun Ge, Yang Chen, et al.. (2020). ELNet:Automatic classification and segmentation for esophageal lesions using convolutional neural network. Medical Image Analysis. 67. 101838–101838. 62 indexed citations

17.

Ge, Rongjun, et al.. (2020). Automatic and Robust Object Detection in X-Ray Baggage Inspection Using Deep Convolutional Neural Networks. IEEE Transactions on Industrial Electronics. 68(10). 10248–10257. 39 indexed citations

18.

Hu, Dianlin, Weiwen Wu, Yanbo Zhang, et al.. (2019). SISTER: Spectral-Image Similarity-Based Tensor With Enhanced-Sparsity Reconstruction for Sparse-View Multi-Energy CT. IEEE Transactions on Computational Imaging. 6. 477–490. 40 indexed citations

19.

Ge, Rongjun, Guanyu Yang, Yang Chen, et al.. (2019). PV-LVNet: Direct left ventricle multitype indices estimation from 2D echocardiograms of paired apical views with deep neural networks. Medical Image Analysis. 58. 101554–101554. 35 indexed citations

20.

Ge, Rongjun, et al.. (2016). A modified pulse-coupled spiking neuron circuit with memory threshold and its application. IEICE Electronics Express. 13(8). 20151121–20151121. 4 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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