Jinhua Sheng

1.1k total citations
52 papers, 729 citations indexed

About

Jinhua Sheng is a scholar working on Radiology, Nuclear Medicine and Imaging, Cognitive Neuroscience and Molecular Biology. According to data from OpenAlex, Jinhua Sheng has authored 52 papers receiving a total of 729 indexed citations (citations by other indexed papers that have themselves been cited), including 29 papers in Radiology, Nuclear Medicine and Imaging, 12 papers in Cognitive Neuroscience and 11 papers in Molecular Biology. Recurrent topics in Jinhua Sheng's work include Advanced MRI Techniques and Applications (22 papers), Medical Imaging Techniques and Applications (17 papers) and Functional Brain Connectivity Studies (12 papers). Jinhua Sheng is often cited by papers focused on Advanced MRI Techniques and Applications (22 papers), Medical Imaging Techniques and Applications (17 papers) and Functional Brain Connectivity Studies (12 papers). Jinhua Sheng collaborates with scholars based in China, United States and Taiwan. Jinhua Sheng's co-authors include Leslie Ying, Luyun Wang, Andrew J. Saykin, Xin Yu, Hu Cheng, Vincent P. Mathews, William G. Kronenberger, Tom A. Hummer, Yang Wang and Jun Xie and has published in prestigious journals such as SHILAP Revista de lepidopterología, NeuroImage and Scientific Reports.

In The Last Decade

Jinhua Sheng

46 papers receiving 711 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Jinhua Sheng China 12 479 202 117 81 75 52 729
Hongjian He China 18 767 1.6× 316 1.6× 19 0.2× 33 0.4× 64 0.9× 87 1.1k
Ahmed Serag United Kingdom 14 513 1.1× 237 1.2× 20 0.2× 64 0.8× 33 0.4× 37 1.4k
Paweł Markiewicz United Kingdom 16 497 1.0× 53 0.3× 37 0.3× 34 0.4× 104 1.4× 68 734
Mark M. Bahn United States 15 552 1.2× 112 0.6× 35 0.3× 84 1.0× 83 1.1× 23 1000
Chris A. Cocosco Germany 13 440 0.9× 98 0.5× 18 0.2× 159 2.0× 67 0.9× 19 835
Lipeng Ning United States 18 618 1.3× 231 1.1× 26 0.2× 84 1.0× 43 0.6× 60 865
Isabelle Corouge France 13 621 1.3× 233 1.2× 20 0.2× 40 0.5× 78 1.0× 30 858
Zikuan Chen United States 17 598 1.2× 310 1.5× 24 0.2× 16 0.2× 18 0.2× 95 904
Issel Anne L. Lim United States 9 456 1.0× 232 1.1× 10 0.1× 41 0.5× 45 0.6× 10 756
Mingwu Jin United States 17 401 0.8× 116 0.6× 14 0.1× 14 0.2× 50 0.7× 70 800

Countries citing papers authored by Jinhua Sheng

Since Specialization
Citations

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

Fields of papers citing papers by Jinhua Sheng

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jinhua Sheng

This figure shows the co-authorship network connecting the top 25 collaborators of Jinhua Sheng. A scholar is included among the top collaborators of Jinhua Sheng 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 Jinhua Sheng. Jinhua Sheng 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.
Sheng, Jinhua, et al.. (2025). A review of multimodal fusion–based deep learning for Alzheimer’s disease. Neuroscience. 576. 80–95. 2 indexed citations
2.
Sheng, Jinhua, et al.. (2024). Cascade dual-domain swin-conv-unet for MRI reconstruction. Biomedical Signal Processing and Control. 96. 106623–106623. 5 indexed citations
3.
4.
Sheng, Jinhua, et al.. (2024). A Denoising UNet Model with ConvNeXt Block for MRI Reconstruction. 682–687. 1 indexed citations
5.
Wang, Junmei, Jimmy Xiangji Huang, & Jinhua Sheng. (2023). An efficient long-text semantic retrieval approach via utilizing presentation learning on short-text. Complex & Intelligent Systems. 10(1). 963–979. 3 indexed citations
6.
7.
Sheng, Jinhua, et al.. (2023). A novel reconstruction method combining multi-detector SPECT with an elliptical orbit and computer tomography for cardiac imaging. Scientific Reports. 13(1). 15005–15005. 3 indexed citations
8.
Sheng, Jinhua, et al.. (2022). Connectivity and variability of related cognitive subregions lead to different stages of progression toward Alzheimer's disease. Heliyon. 8(1). e08827–e08827. 7 indexed citations
9.
Sheng, Jinhua, et al.. (2021). Strategies for multivariate analyses of imaging genetics study in Alzheimer’s disease. Neuroscience Letters. 762. 136147–136147. 4 indexed citations
10.
Sheng, Jinhua, et al.. (2020). Alzheimer’s disease, mild cognitive impairment, and normal aging distinguished by multi-modal parcellation and machine learning. Scientific Reports. 10(1). 5475–5475. 26 indexed citations
11.
Sheng, Jinhua, et al.. (2020). A novel reconstruction approach combining OSEM and split Bregman method for low dose CT. Biomedical Signal Processing and Control. 62. 102095–102095. 6 indexed citations
12.
Nakarmi, Ukash, et al.. (2018). KerNL: Kernel-Based Nonlinear Approach to Parallel MRI Reconstruction. IEEE Transactions on Medical Imaging. 38(1). 312–321. 19 indexed citations
13.
Sheng, Jinhua. (2017). Data modeling and method analysis for brain imaging genetics. International Journal of Imaging Systems and Technology. 27(2). 162–170. 1 indexed citations
14.
Cheng, Hu, Ao Li, Chunfeng Huang, et al.. (2017). Pseudo-Bootstrap Network Analysis—an Application in Functional Connectivity Fingerprinting. Frontiers in Human Neuroscience. 11. 351–351. 3 indexed citations
15.
Sheng, Jinhua, Sungeun Kim, Jingwen Yan, et al.. (2014). Data synthesis and method evaluation for brain imaging genetics. PubMed. 14. 1202–1205. 6 indexed citations
16.
Лю, Бо, Kevin King, Michael Steckner, et al.. (2008). Regularized sensitivity encoding (SENSE) reconstruction using bregman iterations. Magnetic Resonance in Medicine. 61(1). 145–152. 70 indexed citations
17.
Ying, Leslie & Jinhua Sheng. (2007). Joint image reconstruction and sensitivity estimation in SENSE (JSENSE). Magnetic Resonance in Medicine. 57(6). 1196–1202. 168 indexed citations
18.
Ying, Leslie, et al.. (2007). REGULARIZED SENSE RECONSTRUCTION USING ITERATIVELY REFINED TOTAL VARIATION METHOD. 162. 121–124. 10 indexed citations
19.
Sheng, Jinhua, Leslie Ying, Erik C. Wiener, & Bo Liu. (2007). JOINT ESTIMATION OF IMAGE AND COIL SENSITIVITIES IN PARALLEL SPIRAL MRI. 56. 133–136. 7 indexed citations
20.
Sheng, Jinhua. (2006). A new reconstruction algorithm based on ordered projection subset and divided pixel subset. Biomedical Signal Processing and Control. 1(1). 78–85. 1 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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