Xiongchao Chen

865 total citations
46 papers, 559 citations indexed

About

Xiongchao Chen is a scholar working on Radiology, Nuclear Medicine and Imaging, Biomedical Engineering and Radiation. According to data from OpenAlex, Xiongchao Chen has authored 46 papers receiving a total of 559 indexed citations (citations by other indexed papers that have themselves been cited), including 36 papers in Radiology, Nuclear Medicine and Imaging, 19 papers in Biomedical Engineering and 9 papers in Radiation. Recurrent topics in Xiongchao Chen's work include Medical Imaging Techniques and Applications (33 papers), Radiomics and Machine Learning in Medical Imaging (18 papers) and Advanced MRI Techniques and Applications (17 papers). Xiongchao Chen is often cited by papers focused on Medical Imaging Techniques and Applications (33 papers), Radiomics and Machine Learning in Medical Imaging (18 papers) and Advanced MRI Techniques and Applications (17 papers). Xiongchao Chen collaborates with scholars based in United States, China and Taiwan. Xiongchao Chen's co-authors include Chi Liu, Bo Zhou, James S. Duncan, Huidong Xie, S. Kevin Zhou, Pran K. Datta, M. Kay Washington, Sejong Bae, Albert J. Sinusas and Karan P. Singh and has published in prestigious journals such as British Journal of Cancer, Optics Express and IEEE Transactions on Medical Imaging.

In The Last Decade

Xiongchao Chen

41 papers receiving 555 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Xiongchao Chen United States 13 317 200 117 76 60 46 559
Zixiao Lu China 10 380 1.2× 65 0.3× 142 1.2× 70 0.9× 107 1.8× 20 602
P.M. Schlag Germany 11 145 0.5× 144 0.7× 94 0.8× 113 1.5× 51 0.8× 25 513
Tingfeng Chen China 9 158 0.5× 146 0.7× 110 0.9× 63 0.8× 49 0.8× 28 518
An-Hua Li China 13 209 0.7× 123 0.6× 120 1.0× 60 0.8× 68 1.1× 22 529
Nicole B. Johnson United States 9 108 0.3× 116 0.6× 140 1.2× 81 1.1× 93 1.6× 27 580
Ishita Chen United States 10 85 0.3× 62 0.3× 103 0.9× 38 0.5× 46 0.8× 16 332
Maja Marolt Mušič Slovenia 14 95 0.3× 280 1.4× 63 0.5× 141 1.9× 102 1.7× 24 746
Andrew B. Sholl United States 14 63 0.2× 113 0.6× 179 1.5× 87 1.1× 37 0.6× 42 547
Marie‐Jeanne Vrancken Peeters Netherlands 10 249 0.8× 103 0.5× 51 0.4× 60 0.8× 135 2.3× 20 460
Peiyi Xie China 13 252 0.8× 84 0.4× 170 1.5× 260 3.4× 59 1.0× 45 616

Countries citing papers authored by Xiongchao Chen

Since Specialization
Citations

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

Fields of papers citing papers by Xiongchao Chen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Xiongchao Chen

This figure shows the co-authorship network connecting the top 25 collaborators of Xiongchao Chen. A scholar is included among the top collaborators of Xiongchao 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 Xiongchao Chen. Xiongchao Chen 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
1.
Xie, Huidong, Alaa Alashi, Stephanie Thorn, et al.. (2025). Increasing angular sampling for dedicated cardiac single photon emission computed tomography scanner: Implementation with deep learning and validation with human data. Journal of Nuclear Cardiology. 49. 102168–102168. 1 indexed citations
2.
Xie, Huidong, Wei Ji, Xiongchao Chen, et al.. (2025). A generalizable diffusion framework for 3D low-dose and few-view cardiac SPECT imaging. Medical Image Analysis. 106. 103729–103729.
3.
Worhunsky, Patrick D., Xueqi Guo, Xiongchao Chen, et al.. (2025). Generating synthetic brain PET images of synaptic density based on MR T1 images using deep learning. EJNMMI Physics. 12(1). 30–30.
4.
5.
6.
Xie, Huidong, Xueqi Guo, Bo Zhou, et al.. (2024). Noise-aware dynamic image denoising and positron range correction for Rubidium-82 cardiac PET imaging via self-supervision. Medical Image Analysis. 100. 103391–103391. 5 indexed citations
7.
Xie, Huidong, Bo Zhou, Xiongchao Chen, et al.. (2023). Unified Noise-Aware Network for Low-Count PET Denoising With Varying Count Levels. IEEE Transactions on Radiation and Plasma Medical Sciences. 8(4). 366–378. 10 indexed citations
8.
Chen, Xiongchao, Bo Zhou, Huidong Xie, et al.. (2023). DuSFE: Dual-Channel Squeeze-Fusion-Excitation co-attention for cross-modality registration of cardiac SPECT and CT. Medical Image Analysis. 88. 102840–102840. 11 indexed citations
9.
Guo, Xueqi, Luyao Shi, Xiongchao Chen, et al.. (2023). TAI-GAN: Temporally and Anatomically Informed GAN for Early-to-Late Frame Conversion in Dynamic Cardiac PET Motion Correction. Lecture notes in computer science. 14288. 64–74. 2 indexed citations
10.
Zhou, Bo, Juan Liu, Xueqi Guo, et al.. (2023). Generation of Whole-Body FDG Parametric K i Images From Static PET Images Using Deep Learning. IEEE Transactions on Radiation and Plasma Medical Sciences. 7(5). 465–472. 5 indexed citations
11.
Guo, Xueqi, Bo Zhou, Xiongchao Chen, Chi Liu, & Nicha C. Dvornek. (2022). MCP-Net: Inter-frame Motion Correction with Patlak Regularization for Whole-body Dynamic PET. Lecture notes in computer science. 13434. 163–172. 3 indexed citations
12.
Chen, Xiongchao & Chi Liu. (2022). Deep-learning-based methods of attenuation correction for SPECT and PET. Journal of Nuclear Cardiology. 30(5). 1859–1878. 22 indexed citations
13.
Chen, Xiongchao, P. Hendrik Pretorius, Bo Zhou, et al.. (2022). Cross-vender, cross-tracer, and cross-protocol deep transfer learning for attenuation map generation of cardiac SPECT. Journal of Nuclear Cardiology. 29(6). 3379–3391. 19 indexed citations
14.
Chen, Xiongchao, Bo Zhou, Huidong Xie, et al.. (2022). Direct and indirect strategies of deep-learning-based attenuation correction for general purpose and dedicated cardiac SPECT. European Journal of Nuclear Medicine and Molecular Imaging. 49(9). 3046–3060. 34 indexed citations
15.
Zhang, Hao, et al.. (2021). Super-resolution generative adversarial network (SRGAN) enabled on-chip contact microscopy. Journal of Physics D Applied Physics. 54(39). 394005–394005. 6 indexed citations
16.
Zhang, Hao, et al.. (2021). Adaptive super-resolution enabled on-chip contact microscopy. Optics Express. 29(20). 31754–31754. 3 indexed citations
17.
Zhou, Bo, Yu‐Jung Tsai, Xiongchao Chen, James S. Duncan, & Chi Liu. (2021). MDPET: A Unified Motion Correction and Denoising Adversarial Network for Low-Dose Gated PET. IEEE Transactions on Medical Imaging. 40(11). 3154–3164. 33 indexed citations
18.
Zhou, Bo, Xiongchao Chen, S. Kevin Zhou, James S. Duncan, & Chi Liu. (2021). DuDoDR-Net: Dual-domain data consistent recurrent network for simultaneous sparse view and metal artifact reduction in computed tomography. Medical Image Analysis. 75. 102289–102289. 57 indexed citations
19.
Chen, Xiongchao, et al.. (2014). Loss of Smad4 in colorectal cancer induces resistance to 5-fluorouracil through activating Akt pathway. British Journal of Cancer. 110(4). 946–957. 90 indexed citations
20.
Chen, Xiongchao, et al.. (2011). Chemokine CXCL11 links microbial stimuli to intestinal inflammation. Clinical & Experimental Immunology. 164(3). 396–406. 26 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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