Yunjie Tong

3.0k total citations
74 papers, 1.6k citations indexed

About

Yunjie Tong is a scholar working on Radiology, Nuclear Medicine and Imaging, Cognitive Neuroscience and Biomedical Engineering. According to data from OpenAlex, Yunjie Tong has authored 74 papers receiving a total of 1.6k indexed citations (citations by other indexed papers that have themselves been cited), including 56 papers in Radiology, Nuclear Medicine and Imaging, 38 papers in Cognitive Neuroscience and 25 papers in Biomedical Engineering. Recurrent topics in Yunjie Tong's work include Optical Imaging and Spectroscopy Techniques (38 papers), Functional Brain Connectivity Studies (29 papers) and Advanced MRI Techniques and Applications (26 papers). Yunjie Tong is often cited by papers focused on Optical Imaging and Spectroscopy Techniques (38 papers), Functional Brain Connectivity Studies (29 papers) and Advanced MRI Techniques and Applications (26 papers). Yunjie Tong collaborates with scholars based in United States, China and Canada. Yunjie Tong's co-authors include Blaise B. Frederick, Lia M. Hocke, Kimberly P. Lindsey, Lisa D. Nickerson, Stephanie C. Licata, Sergio Fantini, Angelo Sassaroli, Sinem Burcu Erdoğan, J. Jean Chen and Zhenhu Liang and has published in prestigious journals such as NeuroImage, Scientific Reports and Biological Psychiatry.

In The Last Decade

Yunjie Tong

71 papers receiving 1.6k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Yunjie Tong United States 21 1.1k 1.0k 292 278 178 74 1.6k
Mark Mandelkern United States 14 1.2k 1.1× 388 0.4× 158 0.5× 696 2.5× 166 0.9× 29 2.0k
Vesa Korhonen Finland 17 428 0.4× 462 0.5× 142 0.5× 104 0.4× 414 2.3× 62 1.1k
Matthias Kohl‐Bareis Germany 17 559 0.5× 229 0.2× 264 0.9× 142 0.5× 115 0.6× 58 995
Lia M. Hocke United States 14 518 0.5× 537 0.5× 109 0.4× 141 0.5× 40 0.2× 23 786
Suresh Narayanan United States 11 482 0.4× 381 0.4× 238 0.8× 187 0.7× 196 1.1× 28 1.1k
Weijun Tang China 22 589 0.5× 627 0.6× 81 0.3× 82 0.3× 143 0.8× 68 1.7k
Kaike K. Kaisti Finland 20 276 0.3× 648 0.6× 52 0.2× 168 0.6× 335 1.9× 29 1.8k
Haijing Niu China 24 1.0k 0.9× 1.0k 1.0× 355 1.2× 258 0.9× 74 0.4× 57 1.6k
Fuqing Zhou China 26 866 0.8× 1.2k 1.2× 49 0.2× 130 0.5× 152 0.9× 134 2.1k
Eva K. Ritzl United States 18 245 0.2× 733 0.7× 148 0.5× 47 0.2× 241 1.4× 56 1.5k

Countries citing papers authored by Yunjie Tong

Since Specialization
Citations

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

Fields of papers citing papers by Yunjie Tong

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yunjie Tong

This figure shows the co-authorship network connecting the top 25 collaborators of Yunjie Tong. A scholar is included among the top collaborators of Yunjie Tong 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 Yunjie Tong. Yunjie Tong 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.
Xu, Tianyin, et al.. (2025). An fMRI approach to assess intracranial arterial-to-venous cardiac pulse delay in aging. Imaging Neuroscience. 3. 1 indexed citations
2.
Wen, Qiuting, Charles F. Babbs, Yi Zhao, et al.. (2025). Dynamic diffusion-weighted imaging of intracranial cardiac impulse propagation along arteries to arterioles in the aging brain. Journal of Cerebral Blood Flow & Metabolism. 45(8). 1519–1530. 4 indexed citations
3.
4.
Xu, Tianyin, et al.. (2024). Robust data-driven segmentation of pulsatile cerebral vessels using functional magnetic resonance imaging. Interface Focus. 14(6). 20240024–20240024. 5 indexed citations
5.
Tong, Yunjie, et al.. (2024). CO2 as an engine for neurofluid flow: Exploring the coupling between vascular reactivity, brain clearance, and changes in tissue properties. NMR in Biomedicine. 37(8). e5126–e5126. 5 indexed citations
6.
Tong, Yunjie, et al.. (2024). Assessment of the macrovascular contribution to resting-state fMRI functional connectivity at 3 Tesla. Imaging Neuroscience. 2. 3 indexed citations
7.
Kim, Minkyung, Yunjie Tong, Ziyue Liu, et al.. (2024). Brain network hypersensitivity underlies pain crises in sickle cell disease. Scientific Reports. 14(1). 7315–7315. 2 indexed citations
8.
Patel, Neal, et al.. (2024). Real‐time quantification of in vivo cerebrospinal fluid velocity using the functional magnetic resonance imaging inflow effect. NMR in Biomedicine. 37(10). e5200–e5200. 7 indexed citations
9.
Wen, Qiuting, et al.. (2024). Using respiratory challenges to modulate CSF movement across different physiological pathways: An fMRI study. Imaging Neuroscience. 2. 5 indexed citations
10.
Wu, Yu‐Chien, et al.. (2023). Neurofluid coupling during sleep and wake states. Sleep Medicine. 110. 44–53. 11 indexed citations
11.
Leem, Jung Woo, et al.. (2023). mHealth hyperspectral learning for instantaneous spatiospectral imaging of hemodynamics. PNAS Nexus. 2(4). pgad111–pgad111. 18 indexed citations
12.
13.
Liang, Zhenhu, Hao Tian, Takeshi Arimitsu, et al.. (2021). Tracking Brain Development From Neonates to the Elderly by Hemoglobin Phase Measurement Using Functional Near-Infrared Spectroscopy. IEEE Journal of Biomedical and Health Informatics. 25(7). 2497–2509. 16 indexed citations
14.
Wang, James H., et al.. (2021). A novel method of quantifying hemodynamic delays to improve hemodynamic response, and CVR estimates in CO2 challenge fMRI. Journal of Cerebral Blood Flow & Metabolism. 41(8). 1886–1898. 18 indexed citations
15.
Li, Yingwei, et al.. (2020). A low-cost multichannel NIRS oximeter for monitoring systemic low-frequency oscillations. Neural Computing and Applications. 32(19). 15629–15641. 4 indexed citations
16.
Maher, Stephen, et al.. (2015). Greater sensitivity of the cortical face processing system to perceptually-equated face detection. Brain Research. 1631. 13–21. 3 indexed citations
17.
Tong, Yunjie & Blaise B. Frederick. (2014). Studying the Spatial Distribution of Physiological Effects on BOLD Signals Using Ultrafast fMRI. Frontiers in Human Neuroscience. 8. 196–196. 58 indexed citations
18.
Kaufman, Marc J., Amy C. Janes, Blaise B. Frederick, et al.. (2013). A method for conducting functional MRI studies in alert nonhuman primates: Initial results with opioid agonists in male cynomolgus monkeys.. Experimental and Clinical Psychopharmacology. 21(4). 323–331. 7 indexed citations
19.
Frederick, Blaise B., Lisa D. Nickerson, & Yunjie Tong. (2012). Physiological denoising of BOLD fMRI data using Regressor Interpolation at Progressive Time Delays (RIPTiDe) processing of concurrent fMRI and near-infrared spectroscopy (NIRS). NeuroImage. 60(3). 1913–1923. 62 indexed citations
20.
Tong, Yunjie, et al.. (2006). Cerebral response to auditory oddball task using multi-distance near-infrared spectroscopy. Biomedical optics. MI3–MI3. 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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