Jianan Cui

507 total citations
24 papers, 316 citations indexed

About

Jianan Cui is a scholar working on Radiology, Nuclear Medicine and Imaging, Computer Vision and Pattern Recognition and Artificial Intelligence. According to data from OpenAlex, Jianan Cui has authored 24 papers receiving a total of 316 indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Radiology, Nuclear Medicine and Imaging, 5 papers in Computer Vision and Pattern Recognition and 4 papers in Artificial Intelligence. Recurrent topics in Jianan Cui's work include Medical Imaging Techniques and Applications (18 papers), Advanced MRI Techniques and Applications (12 papers) and Radiomics and Machine Learning in Medical Imaging (8 papers). Jianan Cui is often cited by papers focused on Medical Imaging Techniques and Applications (18 papers), Advanced MRI Techniques and Applications (12 papers) and Radiomics and Machine Learning in Medical Imaging (8 papers). Jianan Cui collaborates with scholars based in China, United States and Switzerland. Jianan Cui's co-authors include Huafeng Liu, Quanzheng Li, Kuang Gong, Kyungsang Kim, Ning Guo, Chenxi Wu, Zhifang Wu, Zhaohui Zhu, Kun Zheng and Liping Fu and has published in prestigious journals such as PLoS ONE, IEEE Transactions on Medical Imaging and Physics in Medicine and Biology.

In The Last Decade

Jianan Cui

21 papers receiving 313 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Jianan Cui China 7 263 98 81 61 26 24 316
Jens Sjölund Sweden 9 347 1.3× 57 0.6× 92 1.1× 97 1.6× 24 0.9× 24 481
Kyuseok Kim South Korea 8 105 0.4× 91 0.9× 82 1.0× 24 0.4× 32 1.2× 53 207
Junshen Xu United States 8 264 1.0× 77 0.8× 64 0.8× 39 0.6× 10 0.4× 13 360
Taohui Xiao China 7 321 1.2× 94 1.0× 76 0.9× 27 0.4× 18 0.7× 15 383
Junhai Wen China 9 377 1.4× 280 2.9× 127 1.6× 56 0.9× 21 0.8× 44 460
Tong Shan United States 7 269 1.0× 100 1.0× 44 0.5× 95 1.6× 6 0.2× 24 372
Koen A. J. Eppenhof Netherlands 10 240 0.9× 105 1.1× 187 2.3× 81 1.3× 9 0.3× 11 367
Yuya Onishi Japan 11 285 1.1× 62 0.6× 55 0.7× 57 0.9× 22 0.8× 23 351
Salman Ul Hassan Dar Türkiye 8 276 1.0× 86 0.9× 124 1.5× 21 0.3× 14 0.5× 16 452

Countries citing papers authored by Jianan Cui

Since Specialization
Citations

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

Fields of papers citing papers by Jianan Cui

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jianan Cui

This figure shows the co-authorship network connecting the top 25 collaborators of Jianan Cui. A scholar is included among the top collaborators of Jianan Cui 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 Jianan Cui. Jianan Cui is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
2.
Li, Chenxu, et al.. (2025). Deep unrolled primal dual network for TOF-PET list-mode image reconstruction. Physics in Medicine and Biology. 70(17). 175012–175012.
3.
Cui, Jianan, et al.. (2025). Deep Residual Compensation Model for Unsupervised PET Partial Volume Correction. IEEE Transactions on Medical Imaging. PP. 1–1.
4.
Cui, Jianan, et al.. (2024). IE-CycleGAN: improved cycle consistent adversarial network for unpaired PET image enhancement. European Journal of Nuclear Medicine and Molecular Imaging. 51(13). 3874–3887. 2 indexed citations
5.
Cui, Jianan, et al.. (2023). Dynamic low-count PET image reconstruction using spatio-temporal primal dual network. Physics in Medicine and Biology. 68(13). 135015–135015. 1 indexed citations
6.
Jiang, Qiaoyong, et al.. (2023). A regularity model-based multi-objective estimation of distribution memetic algorithm with auto-controllable population diversity. Memetic Computing. 15(1). 45–70. 2 indexed citations
8.
Li, Chenxu, et al.. (2023). LMPDNET: TOF-PET List-Mode Image Reconstruction Using Model-Based Deep Learning Method. 1385–1389. 1 indexed citations
9.
Cui, Jianan, Kuang Gong, Ning Guo, et al.. (2022). Unsupervised PET logan parametric image estimation using conditional deep image prior. Medical Image Analysis. 80. 102519–102519. 11 indexed citations
10.
Cui, Jianan, et al.. (2022). Unsupervised arterial spin labeling image superresolution via multiscale generative adversarial network. Medical Physics. 49(4). 2373–2385. 6 indexed citations
11.
Gong, Kuang, Kyungsang Kim, Jianan Cui, Dufan Wu, & Quanzheng Li. (2021). The Evolution of Image Reconstruction in PET. PET Clinics. 16(4). 533–542. 22 indexed citations
12.
Cui, Jianan, Kuang Gong, Ning Guo, et al.. (2021). Populational and individual information based PET image denoising using conditional unsupervised learning. Physics in Medicine and Biology. 66(15). 155001–155001. 17 indexed citations
13.
Jiang, Qiaoyong, et al.. (2021). A Tristage Adaptive Biased Learning for Artificial Bee Colony. Discrete Dynamics in Nature and Society. 2021. 1–22. 1 indexed citations
14.
Gao, Yunhe, et al.. (2021). Seismic Random Noise Attenuation via Unsupervised Sparse Machine Learning. 1–5. 1 indexed citations
15.
Cui, Jianan, Kuang Gong, Ning Guo, et al.. (2019). PET image denoising using unsupervised deep learning. European Journal of Nuclear Medicine and Molecular Imaging. 46(13). 2780–2789. 181 indexed citations
16.
Cui, Jianan, Zhongya Qin, Shuhang Chen, Yunmei Chen, & Huafeng Liu. (2019). Structure and Tracer Kinetics-Driven Dynamic PET Reconstruction. IEEE Transactions on Radiation and Plasma Medical Sciences. 4(4). 400–409. 2 indexed citations
17.
Cui, Jianan, Kuang Gong, Ning Guo, et al.. (2019). CT-guided PET parametric image reconstruction using deep neural network without prior training data. 34–34. 15 indexed citations
18.
Cui, Jianan, Kuang Gong, Ning Guo, et al.. (2019). Population and individual information guided PET image denoising using deep neural network. 99–99. 2 indexed citations
19.
Cui, Jianan, et al.. (2018). Simultaneous estimation and segmentation from projection data in dynamic PET. Medical Physics. 46(3). 1245–1259. 5 indexed citations
20.
Cui, Jianan, Xin Liu, Yile Wang, & Huafeng Liu. (2017). Deep reconstruction model for dynamic PET images. PLoS ONE. 12(9). e0184667–e0184667. 34 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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