Hongjiang Wei

3.3k total citations
117 papers, 2.1k citations indexed

About

Hongjiang Wei is a scholar working on Radiology, Nuclear Medicine and Imaging, Neurology and Cognitive Neuroscience. According to data from OpenAlex, Hongjiang Wei has authored 117 papers receiving a total of 2.1k indexed citations (citations by other indexed papers that have themselves been cited), including 73 papers in Radiology, Nuclear Medicine and Imaging, 30 papers in Neurology and 22 papers in Cognitive Neuroscience. Recurrent topics in Hongjiang Wei's work include Advanced MRI Techniques and Applications (50 papers), Advanced Neuroimaging Techniques and Applications (50 papers) and Neurological disorders and treatments (23 papers). Hongjiang Wei is often cited by papers focused on Advanced MRI Techniques and Applications (50 papers), Advanced Neuroimaging Techniques and Applications (50 papers) and Neurological disorders and treatments (23 papers). Hongjiang Wei collaborates with scholars based in China, United States and France. Hongjiang Wei's co-authors include Chunlei Liu, Yuyao Zhang, Matthew J. Cronin, Nian Wang, Russell Dibb, Kyle Decker, Yawen Sun, Naying He, Fuhua Yan and Yan Zhou and has published in prestigious journals such as SHILAP Revista de lepidopterología, NeuroImage and Brain.

In The Last Decade

Hongjiang Wei

107 papers receiving 2.1k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Hongjiang Wei China 27 1.3k 516 430 189 155 117 2.1k
Akifumi Hagiwara Japan 28 1.9k 1.4× 371 0.7× 271 0.6× 360 1.9× 180 1.2× 151 2.7k
Shingo Kakeda Japan 24 1.0k 0.8× 387 0.8× 459 1.1× 270 1.4× 149 1.0× 117 2.1k
Seth A. Smith United States 40 3.1k 2.4× 370 0.7× 493 1.1× 165 0.9× 186 1.2× 102 4.0k
Shannon Kolind Canada 32 2.1k 1.6× 347 0.7× 387 0.9× 118 0.6× 171 1.1× 98 3.0k
Christina Andica Japan 28 1.7k 1.3× 468 0.9× 282 0.7× 462 2.4× 108 0.7× 96 2.4k
Manojkumar Saranathan United States 25 1.5k 1.1× 288 0.6× 357 0.8× 182 1.0× 104 0.7× 92 2.2k
Jongho Lee South Korea 32 2.3k 1.8× 382 0.7× 520 1.2× 333 1.8× 225 1.5× 107 3.2k
Weili Zheng United States 20 814 0.6× 279 0.5× 228 0.5× 90 0.5× 118 0.8× 46 1.7k
Andreas Stadlbauer Germany 31 2.1k 1.6× 190 0.4× 319 0.7× 335 1.8× 177 1.1× 110 3.0k
Karin Shmueli United Kingdom 20 2.2k 1.7× 318 0.6× 1.1k 2.6× 152 0.8× 134 0.9× 65 3.0k

Countries citing papers authored by Hongjiang Wei

Since Specialization
Citations

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

Fields of papers citing papers by Hongjiang Wei

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Hongjiang Wei

This figure shows the co-authorship network connecting the top 25 collaborators of Hongjiang Wei. A scholar is included among the top collaborators of Hongjiang Wei 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 Hongjiang Wei. Hongjiang Wei 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.
Qi, Haikun, et al.. (2025). Coordinate-based neural representation enabling zero-shot learning for fast 3D multiparametric quantitative MRI. Medical Image Analysis. 102. 103530–103530. 1 indexed citations
2.
3.
Li, Zhenghao, Tongtong Xu, Ming Zhang, et al.. (2025). Paramagnetic susceptibility measured by magnetic resonance imaging as an in vivo biomarker for iron pathology in epilepsy. Science Advances. 11(12). eads8149–eads8149.
4.
Wang, Lihui, et al.. (2025). Replace2Self: Self-Supervised Denoising Based on Voxel Replacing and Image Mixing for Diffusion MRI. IEEE Transactions on Medical Imaging. 44(7). 2878–2891.
5.
Feng, Jie, Qing Wu, Xin Shen, et al.. (2025). Spatiotemporal Implicit Neural Representation for Unsupervised Dynamic MRI Reconstruction. IEEE Transactions on Medical Imaging. 44(5). 2143–2156. 4 indexed citations
6.
Zhang, Yuyao, et al.. (2025). Joint coil sensitivity and motion correction in parallel MRI with a self-calibrating score-based diffusion model. Medical Image Analysis. 102. 103502–103502. 1 indexed citations
7.
Zhao, Yu, Kuan Wang, Xiang Liu, et al.. (2025). Inhibition of aflatoxin B1-induced murine hepatocyte pyroptosis by Bacillus amyloliquefaciens by activation of the Nrf2/HO-1 pathway. Ecotoxicology and Environmental Safety. 302. 118688–118688. 1 indexed citations
8.
Zhang, Ming, Zhenghao Li, Jie Feng, et al.. (2024). A subject-specific unsupervised deep learning method for quantitative susceptibility mapping using implicit neural representation. Medical Image Analysis. 95. 103173–103173. 6 indexed citations
9.
Champagne, Allen A., Hongjiang Wei, Davide Bardana, et al.. (2024). Quantitative susceptibility and T1ρ mapping of knee articular cartilage at 3T. SHILAP Revista de lepidopterología. 6(3). 100509–100509. 2 indexed citations
10.
Li, Yunxiang, et al.. (2024). Optimal peritoneal cancer index cutoff point for predicting surgical resectability of pseudomyxoma peritonei in treatment-naive patients. World Journal of Surgical Oncology. 22(1). 39–39. 2 indexed citations
11.
Shi, Yuting, Hongjiang Wei, Jun Liu, et al.. (2023). Free‐Water Imaging of the Substantia Nigra in GBA Pathogenic Variant Carriers. Movement Disorders. 38(5). 764–773. 1 indexed citations
12.
Wang, Yiqing, Yuting Shi, Jie Feng, et al.. (2023). Brain Age Prediction Based on Quantitative Susceptibility Mapping Using the Segmentation Transformer. IEEE Journal of Biomedical and Health Informatics. 28(2). 1012–1021. 6 indexed citations
13.
Li, Zhenghao, Jie Feng, Ming Zhang, et al.. (2023). APART-QSM: An improved sub-voxel quantitative susceptibility mapping for susceptibility source separation using an iterative data fitting method. NeuroImage. 274. 120148–120148. 41 indexed citations
14.
Chen, Lixuan, Zhenghao Li, Lihui Wang, et al.. (2023). ASSURED: A Self-Supervised Deep Decoder Network for Fetus Brain MRI Reconstruction. 1–5. 1 indexed citations
15.
Wang, Hanqi, Zhihui Li, Qing Li, et al.. (2023). Comparing the Effect of Mechanical Loading on Deep and Superficial Cartilage Using Quantitative UTE MRI. Journal of Magnetic Resonance Imaging. 59(6). 2048–2057. 4 indexed citations
16.
Wu, Qing, et al.. (2023). IMJENSE: Scan-Specific Implicit Representation for Joint Coil Sensitivity and Image Estimation in Parallel MRI. IEEE Transactions on Medical Imaging. 43(4). 1539–1553. 12 indexed citations
17.
Zhang, Yingying, Tao Wang, Hongjiang Wei, et al.. (2020). Deep Brain Stimulation of Nucleus Accumbens with Anterior Capsulotomy for Drug Addiction: A Case Report. Stereotactic and Functional Neurosurgery. 98(5). 345–349. 19 indexed citations
18.
Wei, Hongjiang, Le Qin, Steven Cao, et al.. (2018). Quantitative susceptibility mapping of articular cartilage in patients with osteoarthritis at 3T. Journal of Magnetic Resonance Imaging. 49(6). 1665–1675. 23 indexed citations
19.
Wei, Hongjiang, Russell Dibb, Kyle Decker, et al.. (2017). Investigating magnetic susceptibility of human knee joint at 7 Tesla. Magnetic Resonance in Medicine. 78(5). 1933–1943. 50 indexed citations
20.
Moulin, Kévin, Pierre Croisille, Thorsten Feiweier, et al.. (2016). In vivo free‐breathing DTI and IVIM of the whole human heart using a real‐time slice‐followed SE‐EPI navigator‐based sequence: A reproducibility study in healthy volunteers. Magnetic Resonance in Medicine. 76(1). 2 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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