Rongpin Wang

556 total citations
30 papers, 320 citations indexed

About

Rongpin Wang is a scholar working on Radiology, Nuclear Medicine and Imaging, Pediatrics, Perinatology and Child Health and Cognitive Neuroscience. According to data from OpenAlex, Rongpin Wang has authored 30 papers receiving a total of 320 indexed citations (citations by other indexed papers that have themselves been cited), including 23 papers in Radiology, Nuclear Medicine and Imaging, 7 papers in Pediatrics, Perinatology and Child Health and 4 papers in Cognitive Neuroscience. Recurrent topics in Rongpin Wang's work include Advanced Neuroimaging Techniques and Applications (12 papers), Advanced MRI Techniques and Applications (7 papers) and Fetal and Pediatric Neurological Disorders (7 papers). Rongpin Wang is often cited by papers focused on Advanced Neuroimaging Techniques and Applications (12 papers), Advanced MRI Techniques and Applications (7 papers) and Fetal and Pediatric Neurological Disorders (7 papers). Rongpin Wang collaborates with scholars based in China, United States and France. Rongpin Wang's co-authors include Emi Takahashi, Xianchun Zeng, Limin Huang, Hui Cao, Lu H, Chaoquan Hu, Xiaoliang Wu, Hong Li, Hui Chen and André van der Kouwe and has published in prestigious journals such as PLoS ONE, Scientific Reports and Cerebral Cortex.

In The Last Decade

Rongpin Wang

27 papers receiving 314 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Rongpin Wang China 11 136 77 58 54 51 30 320
Mingwu Lou China 11 115 0.8× 44 0.6× 28 0.5× 20 0.4× 48 0.9× 23 301
Simin Zhang China 12 185 1.4× 75 1.0× 23 0.4× 17 0.3× 51 1.0× 49 451
Angela Tindara Sframeli Italy 12 84 0.6× 57 0.7× 30 0.5× 28 0.5× 63 1.2× 16 550
Sebastian Arnold Germany 11 77 0.6× 83 1.1× 63 1.1× 55 1.0× 146 2.9× 21 505
Einar August Høgestøl Norway 9 84 0.6× 47 0.6× 24 0.4× 29 0.5× 111 2.2× 21 327
Qi Lin China 12 186 1.4× 60 0.8× 66 1.1× 8 0.1× 183 3.6× 52 466
Byung I. Lee South Korea 9 51 0.4× 149 1.9× 37 0.6× 25 0.5× 37 0.7× 9 365
Wen Zhu China 6 61 0.4× 46 0.6× 40 0.7× 9 0.2× 51 1.0× 13 256

Countries citing papers authored by Rongpin Wang

Since Specialization
Citations

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

Fields of papers citing papers by Rongpin Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Rongpin Wang

This figure shows the co-authorship network connecting the top 25 collaborators of Rongpin Wang. A scholar is included among the top collaborators of Rongpin Wang 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 Rongpin Wang. Rongpin Wang 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.
Zhao, Yuanshen, Feng Liu, Chaofan Zhu, et al.. (2025). Integrating radiology and histology via co-attention deep learning for predicting progression-free survival in patients with metastatic prostate cancer. Chinese Medical Journal. 138(22). 3013–3015.
2.
Li, Zhenghao, et al.. (2025). 3D Isotropic High-Resolution Fetal Brain MRI Reconstruction From Motion Corrupted Thick Data Based on Physical-Informed Unsupervised Learning. IEEE Journal of Biomedical and Health Informatics. 29(11). 8256–8267. 1 indexed citations
3.
4.
Liu, Jian, et al.. (2024). COVID-19 and diabetes research: Where are we now and what does the future hold? A bibliometric visualization analysis. Heliyon. 10(18). e37615–e37615. 1 indexed citations
5.
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
6.
Zhang, Mudan, Xuntao Yin, Wuchao Li, et al.. (2023). A radiomics based approach using adrenal gland and periadrenal fat CT images to allocate COVID-19 health care resources fairly. BMC Medical Imaging. 23(1). 181–181. 1 indexed citations
7.
Wang, Lihui, et al.. (2022). Learn Less, Infer More: Learning in the Fourier Domain for Quantitative Susceptibility Mapping. Frontiers in Neuroscience. 16. 837721–837721. 4 indexed citations
8.
Zhang, Qun, et al.. (2022). Changes in Volume of Subregions Within Basal Ganglia in Obsessive–Compulsive Disorder: A Study With Atlas-Based and VBM Methods. Frontiers in Neuroscience. 16. 890616–890616. 6 indexed citations
9.
Ming, Xing, et al.. (2022). Evaluation of condylar osseous changes using a wireless detector with proton density–weighted imaging sequences. Quantitative Imaging in Medicine and Surgery. 13(1). 17–26. 2 indexed citations
10.
11.
Ji, Mengqi, Rongpin Wang, Xinfeng Liu, et al.. (2020). A Learning-Based Model to Evaluate Hospitalization Priority in COVID-19 Pandemics. Patterns. 1(9). 100173–100173. 4 indexed citations
12.
Li, Dongxue, Yuancheng Liu, Xianchun Zeng, et al.. (2020). Quantitative Study of the Changes in Cerebral Blood Flow and Iron Deposition During Progression of Alzheimer’s Disease. Journal of Alzheimer s Disease. 78(1). 439–452. 33 indexed citations
13.
Tang, Lei, et al.. (2020). Computed tomography (CT) intestinal alterations of Coronavirus Disease 2019 (COVID-19) from the imaging perspective: a case description. Quantitative Imaging in Medicine and Surgery. 10(5). 1145–1149. 6 indexed citations
14.
Zeng, Xianchun, Shuangtao Ma, John M. Kruger, et al.. (2019). High-resolution MRI of kidney microstructures at 7.05 T with an endo-colonic Wireless Amplified NMR detector. Journal of Magnetic Resonance. 303. 121–127. 3 indexed citations
15.
Qin, Yongbin, et al.. (2019). Estimation of intravoxel incoherent motion parameters using low b-values. PLoS ONE. 14(2). e0211911–e0211911. 12 indexed citations
16.
Huang, Limin, Chaoquan Hu, Hui Cao, et al.. (2018). MicroRNA-29c Increases the Chemosensitivity of Pancreatic Cancer Cells by Inhibiting USP22 Mediated Autophagy. Cellular Physiology and Biochemistry. 47(2). 747–758. 65 indexed citations
17.
Zeng, Xianchun, et al.. (2017). SIRT3 functions as a tumor suppressor in hepatocellular carcinoma. Tumor Biology. 39(3). 3726130717–3726130717. 17 indexed citations
18.
Wang, Rongpin, et al.. (2017). Convergence of Cortical, Thalamocortical, and Callosal Pathways during Human Fetal Development Revealed by Diffusion MRI Tractography. Frontiers in Neuroscience. 11. 576–576. 4 indexed citations
19.
Wang, Rongpin, Zhongping Zhang, Bing Wu, et al.. (2017). Stability of R2* and quantitative susceptibility mapping of the brain tissue in a large scale multi-center study. Scientific Reports. 7(1). 45261–45261. 20 indexed citations
20.
Wang, Rongpin, Guangping Dai, & Emi Takahashi. (2015). High Resolution MRI Reveals Detailed Layer Structures in Early Human Fetal Stages: In Vitro Study with Histologic Correlation. Frontiers in Neuroanatomy. 9. 150–150. 16 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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