Yuehua Li

4.4k total citations · 1 hit paper
168 papers, 3.1k citations indexed

About

Yuehua Li is a scholar working on Radiology, Nuclear Medicine and Imaging, Epidemiology and Pulmonary and Respiratory Medicine. According to data from OpenAlex, Yuehua Li has authored 168 papers receiving a total of 3.1k indexed citations (citations by other indexed papers that have themselves been cited), including 44 papers in Radiology, Nuclear Medicine and Imaging, 38 papers in Epidemiology and 36 papers in Pulmonary and Respiratory Medicine. Recurrent topics in Yuehua Li's work include Cerebrovascular and Carotid Artery Diseases (22 papers), Acute Ischemic Stroke Management (21 papers) and Advanced Neuroimaging Techniques and Applications (14 papers). Yuehua Li is often cited by papers focused on Cerebrovascular and Carotid Artery Diseases (22 papers), Acute Ischemic Stroke Management (21 papers) and Advanced Neuroimaging Techniques and Applications (14 papers). Yuehua Li collaborates with scholars based in China, United States and United Kingdom. Yuehua Li's co-authors include Hui Hu, Xiaoqin Qian, Yu Chen, Luodan Yu, Chuan Zhang, Chenghui Zhou, Wei Feng, Xiaoer Wei, Xinyuan Zhu and Jianrong Wu and has published in prestigious journals such as Advanced Materials, Angewandte Chemie International Edition and Nature Medicine.

In The Last Decade

Yuehua Li

159 papers receiving 3.1k citations

Hit Papers

Prussian Blue Nanozyme as a Pyroptosis Inhibitor Alleviat... 2022 2026 2023 2024 2022 50 100 150

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Yuehua Li China 27 901 661 509 507 459 168 3.1k
Su Jin Lee South Korea 34 533 0.6× 985 1.5× 633 1.2× 190 0.4× 839 1.8× 204 4.1k
Long Wang China 36 975 1.1× 1.0k 1.6× 390 0.8× 374 0.7× 220 0.5× 210 4.0k
Laurenţiu Mogoantă Romania 24 664 0.7× 689 1.0× 210 0.4× 898 1.8× 158 0.3× 180 3.4k
Qin Qin China 39 558 0.6× 1.2k 1.8× 633 1.2× 643 1.3× 1.9k 4.1× 239 5.6k
Zhiwei Huang China 30 549 0.6× 908 1.4× 512 1.0× 283 0.6× 131 0.3× 188 3.6k
Juan Ye China 37 871 1.0× 1.4k 2.2× 297 0.6× 233 0.5× 1.0k 2.3× 233 5.4k
Qing Chang China 34 750 0.8× 1.0k 1.5× 174 0.3× 567 1.1× 201 0.4× 184 4.1k
Bing Hu China 30 1.3k 1.4× 587 0.9× 357 0.7× 784 1.5× 354 0.8× 142 3.1k
Jin‐Woo Kim South Korea 36 858 1.0× 679 1.0× 321 0.6× 256 0.5× 209 0.5× 282 4.9k
Sang Jun Park South Korea 41 1.2k 1.3× 575 0.9× 287 0.6× 181 0.4× 1.6k 3.4× 251 5.4k

Countries citing papers authored by Yuehua Li

Since Specialization
Citations

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

Fields of papers citing papers by Yuehua Li

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yuehua Li

This figure shows the co-authorship network connecting the top 25 collaborators of Yuehua Li. A scholar is included among the top collaborators of Yuehua Li 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 Yuehua Li. Yuehua Li 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.
Zhu, Wangshu, et al.. (2025). Calcium deblooming in coronary computed tomography angiography via semantic-oriented generative adversarial network. Computerized Medical Imaging and Graphics. 122. 102515–102515.
3.
Cui, Liang, Min Wang, Yihui Guan, et al.. (2024). Association of precuneus Aβ burden with default mode network function. Alzheimer s & Dementia. 21(1). e14380–e14380. 5 indexed citations
4.
Sheng, Kai, et al.. (2024). A dual-energy computed tomography-based radiomics nomogram for predicting time since stroke onset: a multicenter study. European Radiology. 34(11). 7373–7385. 3 indexed citations
5.
Wu, Jingjing, Tongzhang Zheng, Yanping Li, et al.. (2024). Cilia‐Mimic Locomotion of Magnetic Colloidal Collectives Enhanced by Low‐Intensity Ultrasound for Thrombolytic Drug Penetration. Advanced Science. 12(7). e2410351–e2410351. 4 indexed citations
6.
Wu, Chaoyi, Xiaoman Zhang, Yuehua Li, et al.. (2024). Large-scale long-tailed disease diagnosis on radiology images. Nature Communications. 15(1). 10147–10147. 5 indexed citations
7.
Wei, Jianyong, Mengfei Wang, Xueqian Xie, et al.. (2024). Knowledge-Augmented Deep Learning for Segmenting and Detecting Cerebral Aneurysms With CT Angiography: A Multicenter Study. Radiology. 312(2). e233197–e233197. 5 indexed citations
8.
Wang, Xiaojun, et al.. (2023). How Integrated Digital Tools Can Improve Tuberculosis Medication Adherence: A Longitudinal Study in China. Telemedicine Journal and e-Health. 30(2). 490–498. 3 indexed citations
9.
Du, Wenxian, Lingling Zhou, Lishuai Feng, et al.. (2023). Transferrin-targeted iridium nanoagglomerates with multi-enzyme activities for cerebral ischemia-reperfusion injury therapy. Acta Biomaterialia. 166. 524–535. 12 indexed citations
10.
Wang, Jiahua, Manzar Abbas, Yu Huang, Junyou Wang, & Yuehua Li. (2023). Redox-responsive peptide-based complex coacervates as delivery vehicles with controlled release of proteinous drugs. Communications Chemistry. 6(1). 243–243. 27 indexed citations
11.
13.
Wang, Dongya, Jingcan Qin, Chuan Zhang, & Yuehua Li. (2022). Facile Synthesis of Black Phosphorus Nanosheet@NaReF4 Nanocomposites for Potential Bioimaging. Nanomaterials. 12(19). 3383–3383. 5 indexed citations
14.
Du, Wenxian, Lingling Zhou, Qiang Zhang, et al.. (2021). Inorganic Nanomaterial for Biomedical Imaging of Brain Diseases. Molecules. 26(23). 7340–7340. 9 indexed citations
15.
Guo, Yuanyuan, Jiao Zhang, Gaifang Pan, et al.. (2020). Grafting multi-maleimides on antisense oligonucleotide to enhance its cellular uptake and gene silencing capability. Chemical Communications. 56(54). 7439–7442. 5 indexed citations
16.
Zhang, Jiao, Yuanyuan Guo, Gaifang Pan, et al.. (2020). Injectable Drug-Conjugated DNA Hydrogel for Local Chemotherapy to Prevent Tumor Recurrence. ACS Applied Materials & Interfaces. 12(19). 21441–21449. 85 indexed citations
17.
Li, Yuehua, et al.. (2019). Differentiating between Alzheimer’s disease, amnestic mild cognitive impairment, and normal aging via diffusion kurtosis imaging. Neural Regeneration Research. 14(12). 2141–2141. 20 indexed citations
18.
Huang, Shujian, Dan Wang, Huiqun Zhou, et al.. (2019). Neuroimaging consequences of cerebral small vessel disease in patients with obstructive sleep apnea–hypopnea syndrome. Brain and Behavior. 9(8). e01364–e01364. 9 indexed citations
19.
Wang, Jiahua, Junyou Wang, Junyou Wang, et al.. (2018). A Supramolecular Crosslinker To Give Salt‐Resistant Polyion Complex Micelles and Improved MRI Contrast Agents. Angewandte Chemie. 130(39). 12862–12866. 9 indexed citations
20.
Li, Yuehua, Chenghui Zhou, Xianliang Zhou, & Lihuan Li. (2013). Egg consumption and risk of cardiovascular diseases and diabetes: A meta-analysis. Atherosclerosis. 229(2). 524–530. 102 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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