Yihuan Lu

1.7k total citations · 1 hit paper
56 papers, 1.1k citations indexed

About

Yihuan Lu is a scholar working on Radiology, Nuclear Medicine and Imaging, Radiation and Biomedical Engineering. According to data from OpenAlex, Yihuan Lu has authored 56 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 48 papers in Radiology, Nuclear Medicine and Imaging, 19 papers in Radiation and 11 papers in Biomedical Engineering. Recurrent topics in Yihuan Lu's work include Medical Imaging Techniques and Applications (47 papers), Advanced MRI Techniques and Applications (18 papers) and Radiomics and Machine Learning in Medical Imaging (17 papers). Yihuan Lu is often cited by papers focused on Medical Imaging Techniques and Applications (47 papers), Advanced MRI Techniques and Applications (18 papers) and Radiomics and Machine Learning in Medical Imaging (17 papers). Yihuan Lu collaborates with scholars based in United States, China and United Kingdom. Yihuan Lu's co-authors include Richard E. Carson, Mika Naganawa, Takuya Toyonaga, Nabeel Nabulsi, Yiyun Huang, Chi Liu, Jean‐Dominique Gallezot, Ming-Kai Chen, John A. Onofrey and Sjoerd J. Finnema and has published in prestigious journals such as NeuroImage, IEEE Transactions on Medical Imaging and Journal of Cerebral Blood Flow & Metabolism.

In The Last Decade

Yihuan Lu

53 papers receiving 1.1k citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Assessing Synaptic Density in Alzheimer Disease With Synaptic Vesicle Glycoprotein 2A Positron Emission Tomographic Imaging

2018 298 citations Ming-Kai Chen, Adam P. Mecca et al. profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Yihuan Lu United States	15	601	265	249	172	169	56	1.1k
Luca Presotto Italy	23	668 1.1×	166 0.6×	362 1.5×	278 1.6×	285 1.7×	62	1.5k
Douglass Vines Canada	21	482 0.8×	257 1.0×	154 0.6×	102 0.6×	102 0.6×	45	1.3k
S. Watanuki Japan	22	420 0.7×	124 0.5×	263 1.1×	169 1.0×	141 0.8×	54	1.1k
Wolf-Dieter Heiss Germany	19	668 1.1×	220 0.8×	133 0.5×	129 0.8×	395 2.3×	24	1.7k
Sudeepti Southekal United States	16	527 0.9×	72 0.3×	302 1.2×	262 1.5×	144 0.9×	47	916
Daniel J. Tward United States	21	904 1.5×	129 0.5×	137 0.6×	131 0.8×	147 0.9×	61	1.4k
Maria-João Ribeiro France	19	345 0.6×	465 1.8×	103 0.4×	102 0.6×	107 0.6×	32	1.4k
Sune H. Keller Denmark	21	737 1.2×	156 0.6×	78 0.3×	57 0.3×	145 0.9×	67	1.3k
S. Vollmar Germany	11	526 0.9×	95 0.4×	92 0.4×	93 0.5×	97 0.6×	20	903
Ming-Kai Chen United States	15	430 0.7×	512 1.9×	426 1.7×	272 1.6×	332 2.0×	51	1.4k

Countries citing papers authored by Yihuan Lu

Since Specialization

Citations

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

Fields of papers citing papers by Yihuan Lu

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yihuan Lu

This figure shows the co-authorship network connecting the top 25 collaborators of Yihuan Lu. A scholar is included among the top collaborators of Yihuan Lu 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 Yihuan Lu. Yihuan Lu is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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20 of 20 papers shown

Kang, Fei, Wenhui Ma, Guiyu Li, et al.. (2024). Validation and Evaluation of a Vendor-Provided Head Motion Correction Algorithm on the uMI Panorama PET/CT System. Journal of Nuclear Medicine. 65(8). 1313–1319.

Lu, Yihuan, Fei Kang, Duo Zhang, et al.. (2024). Deep learning-aided respiratory motion compensation in PET/CT: addressing motion induced resolution loss, attenuation correction artifacts and PET-CT misalignment. European Journal of Nuclear Medicine and Molecular Imaging. 52(1). 62–73. 4 indexed citations

Zhang, Jiawei, Chen Sun, Tommaso Volpi, et al.. (2024). Data-driven non-rigid motion detection and correction for NeuroEXPLORER. 1–2. 1 indexed citations

Lu, Yihuan, Jiazhen Zhang, Paul Gravel, et al.. (2023). Markerless head motion tracking and event-by-event correction in brain PET. Physics in Medicine and Biology. 68(24). 245019–245019. 8 indexed citations

Sun, Chunbao, et al.. (2023). GPU-accelerated Monte Carlo Simulation for PET imaging (Part II): Patient Motion and Dynamic Imaging Simulation. 60. 1–1. 1 indexed citations

Chen, Fuyao, Takuya Toyonaga, Chenyu You, et al.. (2023). Cross-Attention for Improved Motion Correction in Brain PET. Lecture notes in computer science. 14312. 34–45. 1 indexed citations

He, L., Junli Li, Chuen–Tsai Sun, Yihuan Lu, & Yun Dong. (2023). GPU-accelerated Monte Carlo Simulation for PET Imaging (Part I): Validation of Imaging Physics Simulation. 1–1. 4 indexed citations

Chen, Fuyao, et al.. (2023). Fast Reconstruction for Deep Learning PET Head Motion Correction. Lecture notes in computer science. 14229. 710–719. 2 indexed citations

Sun, Chen, Kathryn Fontaine, Takuya Toyonaga, et al.. (2022). An objective evaluation method for head motion estimation in PET—Motion corrected centroid-of-distribution. NeuroImage. 264. 119678–119678. 3 indexed citations

10.

Toyonaga, Takuya, Luyao Shi, David Ménard, et al.. (2022). Deep learning–based attenuation correction for whole-body PET — a multi-tracer study with 18F-FDG, 68 Ga-DOTATATE, and 18F-Fluciclovine. European Journal of Nuclear Medicine and Molecular Imaging. 49(9). 3086–3097. 12 indexed citations

11.

Gallezot, Jean‐Dominique, Mika Naganawa, Takuya Toyonaga, et al.. (2022). Adaptive data-driven motion detection and optimized correction for brain PET. NeuroImage. 252. 119031–119031. 10 indexed citations

12.

Shi, Luyao, et al.. (2022). Deep learning-based attenuation map generation with simultaneously reconstructed PET activity and attenuation and low-dose application. Physics in Medicine and Biology. 68(3). 35014–35014. 14 indexed citations

13.

O’Dell, Ryan S., Adam P. Mecca, Ming-Kai Chen, et al.. (2021). Association of Aβ deposition and regional synaptic density in early Alzheimer’s disease: a PET imaging study with [11C]UCB-J. Alzheimer s Research & Therapy. 13(1). 11–11. 72 indexed citations

14.

Lu, Yihuan, Takuya Toyonaga, Mika Naganawa, et al.. (2021). Partial volume correction analysis for 11C-UCB-J PET studies of Alzheimer's disease. NeuroImage. 238. 118248–118248. 24 indexed citations

15.

Lu, Yihuan, David Matuskey, Nabeel Nabulsi, et al.. (2021). Assessment of transient dopamine responses to smoked cannabis. Drug and Alcohol Dependence. 227. 108920–108920. 7 indexed citations

16.

Lu, Yihuan, et al.. (2019). Event-by-event non-rigid data-driven PET respiratory motion correction methods: comparison of principal component analysis and centroid of distribution. Physics in Medicine and Biology. 64(16). 165014–165014. 12 indexed citations

17.

Lu, Yihuan, Jean‐Dominique Gallezot, Mika Naganawa, et al.. (2019). Data-driven voluntary body motion detection and non-rigid event-by-event correction for static and dynamic PET. Physics in Medicine and Biology. 64(6). 65002–65002. 32 indexed citations

18.

Wu, Jing, Yihuan Lu, Mika Naganawa, et al.. (2018). Improved discrimination between benign and malignant LDCT screening-detected lung nodules with dynamic over static ¹⁸F-FDG PET as a function of injected dose. Physics in Medicine and Biology. 63(17). 175015–175015. 21 indexed citations

19.

Wu, Jing, Jean‐Dominique Gallezot, Yihuan Lu, et al.. (2018). Simplified Quantification and Acquisition Protocol for ¹²³I-MIBG Dynamic SPECT. Journal of Nuclear Medicine. 59(10). 1574–1580. 6 indexed citations

20.

Lu, Yihuan, Kathryn Fontaine, Tim Mulnix, et al.. (2018). Respiratory Motion Compensation for PET/CT with Motion Information Derived from Matched Attenuation-Corrected Gated PET Data. Journal of Nuclear Medicine. 59(9). 1480–1486. 54 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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