Shi Su

1.6k total citations
83 papers, 1.2k citations indexed

About

Shi Su is a scholar working on Materials Chemistry, Radiology, Nuclear Medicine and Imaging and Electrical and Electronic Engineering. According to data from OpenAlex, Shi Su has authored 83 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 34 papers in Materials Chemistry, 30 papers in Radiology, Nuclear Medicine and Imaging and 28 papers in Electrical and Electronic Engineering. Recurrent topics in Shi Su's work include Advanced MRI Techniques and Applications (29 papers), Ferroelectric and Piezoelectric Materials (15 papers) and Microwave Dielectric Ceramics Synthesis (12 papers). Shi Su is often cited by papers focused on Advanced MRI Techniques and Applications (29 papers), Ferroelectric and Piezoelectric Materials (15 papers) and Microwave Dielectric Ceramics Synthesis (12 papers). Shi Su collaborates with scholars based in China, United States and Hong Kong. Shi Su's co-authors include Ruzhong Zuo, Longtu Li, Z. Xu, Jian Fu, Shengbo Lu, Xiaohui Wang, Danya Lv, Shuangpeng Wang, Jules A. Shafer and Fahad Azad and has published in prestigious journals such as Science, Journal of the American Chemical Society and Applied Physics Letters.

In The Last Decade

Shi Su

78 papers receiving 1.2k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Shi Su China 18 784 483 351 312 216 83 1.2k
Ilaria Bargigia Italy 18 428 0.5× 562 1.2× 335 1.0× 70 0.2× 300 1.4× 45 1.2k
Mineo Hiramatsu Japan 28 1.7k 2.2× 1.2k 2.4× 464 1.3× 482 1.5× 215 1.0× 116 2.6k
Gongping Li China 13 626 0.8× 298 0.6× 285 0.8× 341 1.1× 42 0.2× 62 987
Rongqing Liang China 16 411 0.5× 647 1.3× 202 0.6× 142 0.5× 87 0.4× 63 923
Jae Hee Song South Korea 20 849 1.1× 571 1.2× 744 2.1× 145 0.5× 172 0.8× 55 1.5k
Lei Lei China 25 1.4k 1.8× 913 1.9× 358 1.0× 482 1.5× 74 0.3× 105 2.1k
Yifei Zhu China 19 532 0.7× 681 1.4× 202 0.6× 54 0.2× 500 2.3× 70 1.4k
Maxime Bayle France 17 460 0.6× 341 0.7× 237 0.7× 175 0.6× 71 0.3× 41 813
Xing Zhao China 18 298 0.4× 193 0.4× 293 0.8× 206 0.7× 51 0.2× 92 996
Chiu‐Hsien Wu Taiwan 20 436 0.6× 648 1.3× 248 0.7× 160 0.5× 36 0.2× 96 1.1k

Countries citing papers authored by Shi Su

Since Specialization
Citations

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

Fields of papers citing papers by Shi Su

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Shi Su

This figure shows the co-authorship network connecting the top 25 collaborators of Shi Su. A scholar is included among the top collaborators of Shi Su 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 Shi Su. Shi Su 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.
2.
Zhao, Yujiao, et al.. (2024). Whole-body magnetic resonance imaging at 0.05 Tesla. Science. 384(6696). eadm7168–eadm7168. 43 indexed citations
3.
Zhao, Yujiao, Linfang Xiao, Shi Su, et al.. (2023). Calibrationless reconstruction of uniformly‐undersampled multi‐channel MR data with deep learning estimated ESPIRiT maps. Magnetic Resonance in Medicine. 90(1). 280–294.
4.
Zhu, Yanjie, Che Wang, Shi Su, et al.. (2023). High resolution single‐shot myocardial imaging using bSSFP with wave encoding. Medical Physics. 50(11). 7039–7048. 1 indexed citations
5.
Su, Shi, Yujiao Zhao, Linfang Xiao, et al.. (2023). Deep learning enabled fast 3D brain MRI at 0.055 tesla. Science Advances. 9(38). eadi9327–eadi9327. 28 indexed citations
6.
Xiao, Linfang, Yujiao Zhao, Shi Su, et al.. (2023). Pushing the limits of low‐cost ultra‐low‐field MRI by dual‐acquisition deep learning 3D superresolution. Magnetic Resonance in Medicine. 90(2). 400–416. 32 indexed citations
7.
Jia, Sen, Shi Su, Yanjie Zhu, et al.. (2021). Highly accelerated parallel MRI using wave encoding and virtual conjugate coils. Magnetic Resonance in Medicine. 86(3). 1345–1359. 6 indexed citations
8.
Zou, Lixian, Dong Liang, Shi Su, et al.. (2021). Quantitative MR relaxation using MR fingerprinting with fractional-order signal evolution. Journal of Magnetic Resonance. 330. 107042–107042. 6 indexed citations
9.
Su, Shi, Chao Luo, Yanjie Zhu, et al.. (2020). Accelerated 3D bSSFP Using a Modified Wave-CAIPI Technique With Truncated Wave Gradients. IEEE Transactions on Medical Imaging. 40(1). 48–58. 8 indexed citations
10.
Wang, Shuangpeng, et al.. (2020). Single-step synthesis of polychromatic carbon quantum dots for macroscopic detection of Hg2+. Ecotoxicology and Environmental Safety. 190. 110141–110141. 61 indexed citations
11.
Wang, Haifeng, Fang Cai, Jing Cheng, et al.. (2020). Positive Contrast Susceptibility MR Imaging Using GPU-based Primal-Dual Algorithm. PubMed. 2020. 1485–1488. 1 indexed citations
12.
Wang, Haifeng, Shi Su, Sen Jia, et al.. (2019). Parameter optimization framework on wave gradients of Wave‐CAIPI imaging. Magnetic Resonance in Medicine. 83(5). 1659–1672. 14 indexed citations
13.
Xie, Guoxi, Yongqin Zhang, Min Chen, et al.. (2017). Accelerated susceptibility-based positive contrast imaging of MR compatible metallic devices based on modified fast spin echo sequences. Physics in Medicine and Biology. 62(7). 2505–2520. 9 indexed citations
14.
Qiu, Bensheng, Zijun Wei, Fei Yan, et al.. (2017). Three-dimensional self-gated cardiac MR imaging for the evaluation of myocardial infarction in mouse model on a 3T clinical MR system. PLoS ONE. 12(12). e0189286–e0189286. 4 indexed citations
15.
Su, Shi, et al.. (2017). Black-blood T2* mapping with delay alternating with nutation for tailored excitation. Magnetic Resonance Imaging. 40. 91–97. 3 indexed citations
16.
Jiang, Chunxiang, et al.. (2016). Diurnal Variations in Neural Activity of Healthy Human Brain Decoded with Resting-State Blood Oxygen Level Dependent fMRI. Frontiers in Human Neuroscience. 10. 634–634. 27 indexed citations
17.
Xie, Guoxi, et al.. (2015). Accelerating PS model-based dynamic cardiac MRI using compressed sensing. Magnetic Resonance Imaging. 34(2). 81–90. 1 indexed citations
18.
Cui, Xianjin, Yong Yan, Rafael T. M. de Rosales, et al.. (2014). Aluminium hydroxide stabilised MnFe2O4 and Fe3O4 nanoparticles as dual-modality contrasts agent for MRI and PET imaging. Biomaterials. 35(22). 5840–5846. 73 indexed citations
19.
Lu, Shengbo, Z. Xu, Shi Su, & Ruzhong Zuo. (2014). Temperature driven nano-domain evolution in lead-free Ba(Zr0.2Ti0.8)O3-50(Ba0.7Ca0.3)TiO3 piezoceramics. Applied Physics Letters. 105(3). 29 indexed citations
20.
Su, Shi, Ruzhong Zuo, Danya Lv, & Jian Fu. (2011). Synthesis and characterization of (001) oriented BaTiO3 platelets through a topochemical conversion. Powder Technology. 217. 11–15. 46 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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