Naying He

2.5k total citations
75 papers, 1.5k citations indexed

About

Naying He is a scholar working on Neurology, Radiology, Nuclear Medicine and Imaging and Cognitive Neuroscience. According to data from OpenAlex, Naying He has authored 75 papers receiving a total of 1.5k indexed citations (citations by other indexed papers that have themselves been cited), including 40 papers in Neurology, 40 papers in Radiology, Nuclear Medicine and Imaging and 21 papers in Cognitive Neuroscience. Recurrent topics in Naying He's work include Neurological disorders and treatments (30 papers), Advanced Neuroimaging Techniques and Applications (30 papers) and Parkinson's Disease Mechanisms and Treatments (27 papers). Naying He is often cited by papers focused on Neurological disorders and treatments (30 papers), Advanced Neuroimaging Techniques and Applications (30 papers) and Parkinson's Disease Mechanisms and Treatments (27 papers). Naying He collaborates with scholars based in China, United States and United Kingdom. Naying He's co-authors include Fuhua Yan, Chunlei Liu, E. Mark Haacke, Huawei Ling, Hongjiang Wei, Pei Huang, Yuyao Zhang, Zenghui Cheng, Shengdi Chen and Bei Ding and has published in prestigious journals such as NeuroImage, Brain and The Journal of Clinical Endocrinology & Metabolism.

In The Last Decade

Naying He

74 papers receiving 1.5k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Naying He China 23 694 614 316 193 158 75 1.5k
Nadya Pyatigorskaya France 24 997 1.4× 509 0.8× 254 0.8× 290 1.5× 157 1.0× 70 1.7k
Guangwei Du United States 27 1.3k 1.8× 570 0.9× 255 0.8× 354 1.8× 179 1.1× 63 2.0k
Henry Ka‐Fung Mak Hong Kong 25 517 0.7× 677 1.1× 483 1.5× 156 0.8× 113 0.7× 101 1.9k
Hsiao-Ming Wu United States 17 645 0.9× 464 0.8× 364 1.2× 231 1.2× 223 1.4× 30 1.7k
Simon Baudrexel Germany 21 992 1.4× 578 0.9× 373 1.2× 418 2.2× 105 0.7× 38 1.6k
Jason Langley United States 20 552 0.8× 493 0.8× 273 0.9× 244 1.3× 154 1.0× 49 1.4k
Regina Esterhammer Austria 25 1.2k 1.7× 725 1.2× 156 0.5× 489 2.5× 162 1.0× 41 2.0k
Alexius Joe Germany 16 443 0.6× 419 0.7× 457 1.4× 313 1.6× 142 0.9× 26 1.8k
Keita Watanabe Japan 20 256 0.4× 432 0.7× 334 1.1× 152 0.8× 74 0.5× 82 1.2k
Giuliano Sette Italy 20 682 1.0× 389 0.6× 243 0.8× 261 1.4× 178 1.1× 48 2.0k

Countries citing papers authored by Naying He

Since Specialization
Citations

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

Fields of papers citing papers by Naying He

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Naying He

This figure shows the co-authorship network connecting the top 25 collaborators of Naying He. A scholar is included among the top collaborators of Naying He 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 Naying He. Naying He 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.
He, Naying, et al.. (2025). Optimizing the visualization of the locus coeruleus using magnetization transfer contrast 3D imaging. NeuroImage. 318. 121372–121372. 1 indexed citations
2.
He, Naying, Robert K.Y. Li, E. Mark Haacke, et al.. (2025). Increased diagnostic accuracy and better morphology characterization of unruptured intracranial aneurysm by ultra-high-resolution photon-counting detector CT angiography. Journal of NeuroInterventional Surgery. 18(3). 835–841. 2 indexed citations
3.
Buch, Sagar, Naying He, Pei Huang, et al.. (2025). White matter hyperintensity tissue property spatial variations as a function of cognitive status in Parkinson’s disease. NeuroImage. 312. 121236–121236. 1 indexed citations
4.
Xu, Qiuyun, Yongsheng Chen, Stephan Miller, et al.. (2024). In Vivo visualization of white matter fiber tracts in the brainstem using low flip angle double echo 3D gradient echo imaging at 3T. NeuroImage. 300. 120857–120857. 1 indexed citations
5.
6.
He, Naying, Yan Li, Pei Huang, et al.. (2024). Enhancing Nigrosome‐1 Sign Identification via Interpretable AI using True Susceptibility Weighted Imaging. Journal of Magnetic Resonance Imaging. 60(5). 1904–1915. 3 indexed citations
7.
Wang, Chengyan, Zhang Shi, Yan Li, et al.. (2023). Protocol for Brain Magnetic Resonance Imaging and Extraction of Imaging-Derived Phenotypes from the China Phenobank Project. PubMed. 3(6). 642–656. 8 indexed citations
8.
He, Naying, et al.. (2023). Alterations in Resting‐State MR Functional Connectivity of the Central Autonomic Network in Multiple System Atrophy and Relationship with Disease Severity. Journal of Magnetic Resonance Imaging. 58(5). 1472–1487. 2 indexed citations
9.
Wang, Yida, Naying He, Chunyan Zhang, et al.. (2023). An automatic interpretable deep learning pipeline for accurate Parkinson's disease diagnosis using quantitative susceptibility mapping and T1‐weighted images. Human Brain Mapping. 44(12). 4426–4438. 21 indexed citations
10.
He, Naying, Jiang Wang, Zhen Zhang, et al.. (2023). Subthalamic stimulation modulates motor network in Parkinson’s disease: recover, relieve and remodel. Brain. 146(7). 2780–2791. 12 indexed citations
11.
Wang, Hua-Long, Ran Tang, Ru‐Jing Ren, et al.. (2022). Speech silence character as a diagnostic biomarker of early cognitive decline and its functional mechanism: a multicenter cross-sectional cohort study. BMC Medicine. 20(1). 380–380. 12 indexed citations
12.
13.
Cheng, Zenghui, Naying He, Pei Huang, et al.. (2019). Imaging the Nigrosome 1 in the substantia nigra using susceptibility weighted imaging and quantitative susceptibility mapping: An application to Parkinson's disease. NeuroImage Clinical. 25. 102103–102103. 73 indexed citations
14.
15.
He, Naying, Qian Wang, Zenghui Cheng, et al.. (2019). Quantitative susceptibility mapping based hybrid feature extraction for diagnosis of Parkinson's disease. NeuroImage Clinical. 24. 102070–102070. 52 indexed citations
16.
Zhu, Hong, Juan Huang, Naying He, et al.. (2019). Abnormal Dynamic Functional Connectivity Associated With Subcortical Networks in Parkinson’s Disease: A Temporal Variability Perspective. Frontiers in Neuroscience. 13. 80–80. 33 indexed citations
17.
Yan, Fuhua, et al.. (2018). Iron deposition quantification: Applications in the brain and liver. Journal of Magnetic Resonance Imaging. 48(2). 301–317. 36 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.
Zhang, Yuyao, Hongjiang Wei, Matthew J. Cronin, et al.. (2018). Longitudinal atlas for normative human brain development and aging over the lifespan using quantitative susceptibility mapping. NeuroImage. 171. 176–189. 103 indexed citations
20.
He, Naying, Jason Langley, Daniel E. Huddleston, et al.. (2017). Improved Neuroimaging Atlas of the Dentate Nucleus. The Cerebellum. 16(5-6). 951–956. 20 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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