Qinghai Yuan

3.2k total citations · 1 hit paper
52 papers, 2.9k citations indexed

About

Qinghai Yuan is a scholar working on Materials Chemistry, Biomedical Engineering and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, Qinghai Yuan has authored 52 papers receiving a total of 2.9k indexed citations (citations by other indexed papers that have themselves been cited), including 28 papers in Materials Chemistry, 19 papers in Biomedical Engineering and 14 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Qinghai Yuan's work include Luminescence Properties of Advanced Materials (17 papers), Nanoplatforms for cancer theranostics (15 papers) and Lanthanide and Transition Metal Complexes (14 papers). Qinghai Yuan is often cited by papers focused on Luminescence Properties of Advanced Materials (17 papers), Nanoplatforms for cancer theranostics (15 papers) and Lanthanide and Transition Metal Complexes (14 papers). Qinghai Yuan collaborates with scholars based in China, United States and Taiwan. Qinghai Yuan's co-authors include Lehui Lu, Yanlan Liu, Kelong Ai, Jianhua Liu, Yangyang He, Jianhua Liu, Jinsong Ren, Xiaogang Qu, Zhen Liu and Dongmei Yang and has published in prestigious journals such as Journal of the American Chemical Society, Advanced Materials and Angewandte Chemie International Edition.

In The Last Decade

Qinghai Yuan

50 papers receiving 2.8k citations

Hit Papers

In Vivo Multimodality Ima... 2013 2026 2017 2021 2013 100 200 300 400

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Qinghai Yuan China 24 1.9k 1.7k 518 326 305 52 2.9k
Xiangyu Ou China 13 1.9k 1.0× 1.1k 0.7× 309 0.6× 228 0.7× 832 2.7× 18 2.6k
Xianfu Meng China 26 1.8k 0.9× 1.2k 0.7× 370 0.7× 315 1.0× 550 1.8× 62 2.7k
Caixia Sun China 23 2.6k 1.3× 2.5k 1.5× 229 0.4× 560 1.7× 467 1.5× 59 3.8k
Tianye Cao China 20 1.9k 1.0× 1.1k 0.7× 176 0.3× 427 1.3× 367 1.2× 34 2.6k
Taeghwan Hyeon South Korea 11 1.5k 0.8× 880 0.5× 576 1.1× 273 0.8× 329 1.1× 15 2.4k
Liang Song China 25 2.1k 1.1× 2.2k 1.4× 711 1.4× 567 1.7× 257 0.8× 65 3.3k
Shao‐Kai Sun China 24 1.3k 0.7× 1.5k 0.9× 535 1.0× 466 1.4× 171 0.6× 81 2.5k
Hongjie Dai United States 15 1.7k 0.9× 2.0k 1.2× 234 0.5× 586 1.8× 413 1.4× 17 3.0k
Omar Yaghi United States 11 1.6k 0.9× 1.9k 1.1× 231 0.4× 787 2.4× 193 0.6× 18 3.2k

Countries citing papers authored by Qinghai Yuan

Since Specialization
Citations

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

Fields of papers citing papers by Qinghai Yuan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Qinghai Yuan

This figure shows the co-authorship network connecting the top 25 collaborators of Qinghai Yuan. A scholar is included among the top collaborators of Qinghai Yuan 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 Qinghai Yuan. Qinghai Yuan 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.
Gong, Ting‐Ting, Ying Gao, Li He, et al.. (2025). Research progress in multimodal radiomics of rectal cancer tumors and peritumoral regions in MRI. Abdominal Radiology. 50(12). 5677–5689. 1 indexed citations
2.
Li, Jie, Caicun Zhou, Xiaoxia Qu, et al.. (2025). Perilesional dominance: radiomics of multiparametric MRI enhances differentiation of IgG4-Related ophthalmic disease and orbital MALT lymphoma. BMC Medical Imaging. 25(1). 238–238. 1 indexed citations
3.
Ma, Rui, Peng Zhang, Xiuying Chen, et al.. (2024). Dual-responsive nanoplatform for integrated cancer diagnosis and therapy: Unleashing the power of tumor microenvironment. Frontiers in Chemistry. 12. 1475131–1475131. 2 indexed citations
5.
Li, Xin, et al.. (2023). Advances in differential diagnosis of cerebrovascular diseases in magnetic resonance imaging: a narrative review. Quantitative Imaging in Medicine and Surgery. 13(4). 2712–2734. 13 indexed citations
7.
Han, Qinghe, et al.. (2022). Machine Learning Based Non-Enhanced CT Radiomics for the Identification of Orbital Cavernous Venous Malformations: An Innovative Tool. Journal of Craniofacial Surgery. 33(3). 814–820. 10 indexed citations
8.
Chu, Guangyu, et al.. (2021). To Explore MR Imaging Radiomics for the Differentiation of Orbital Lymphoma and IgG4‐Related Ophthalmic Disease. BioMed Research International. 2021(1). 6668510–6668510. 9 indexed citations
9.
Zhang, Tianqi, Lei Zhang, Yang Liu, et al.. (2021). Facile Synthesis of Holmium-Based Nanoparticles as a CT and MRI Dual-Modal Imaging for Cancer Diagnosis. Frontiers in Oncology. 11. 741383–741383. 12 indexed citations
10.
Yuan, Qinghai, et al.. (2020). Scintillation and Luminescence Properties of the Zinc Oxide (ZnO) Doped Frit Crystal Under Gamma Radiation. Journal of Nanoelectronics and Optoelectronics. 15(5). 566–573. 1 indexed citations
11.
Wang, Lei, Xiaofei Xu, Qinghe Han, et al.. (2019). Fe-doped copper sulfide nanoparticles for in vivo magnetic resonance imaging and simultaneous photothermal therapy. Nanotechnology. 30(41). 415101–415101. 10 indexed citations
12.
Han, Qinghe, Xiaodong Wang, Zhiqiang Sun, et al.. (2018). Rational design of Fe3O4@C nanoparticles for simultaneous bimodal imaging and chemo-photothermal therapy in vitro and in vivo. Journal of Materials Chemistry B. 6(34). 5443–5450. 10 indexed citations
13.
Jin, Longhai, Jianhua Liu, Ying Tang, et al.. (2017). MnO2-Functionalized Co–P Nanocomposite: A New Theranostic Agent for pH-Triggered T1/T2 Dual-Modality Magnetic Resonance Imaging-Guided Chemo-photothermal Synergistic Therapy. ACS Applied Materials & Interfaces. 9(48). 41648–41658. 46 indexed citations
14.
Liu, Zhen, Enguo Ju, Jianhua Liu, et al.. (2013). Direct visualization of gastrointestinal tract with lanthanide-doped BaYbF5 upconversion nanoprobes. Biomaterials. 34(30). 7444–7452. 73 indexed citations
16.
Liu, Yanlan, Kelong Ai, Jianhua Liu, et al.. (2012). Hybrid BaYbF5 Nanoparticles: Novel Binary Contrast Agent for High‐Resolution in Vivo X‐ray Computed Tomography Angiography. Advanced Healthcare Materials. 1(4). 461–466. 80 indexed citations
17.
Liu, Zhen, Zhenhua Li, Jianhua Liu, et al.. (2012). Long-circulating Er3+-doped Yb2O3 up-conversion nanoparticle as an in vivo X-Ray CT imaging contrast agent. Biomaterials. 33(28). 6748–6757. 173 indexed citations
18.
Liu, Jianhua, et al.. (2011). Syphilitic aortitis complicated by multiple aortic aneurysms: findings of multidetector CT. International journal of cardiac imaging. 27(5). 695–699. 8 indexed citations
19.
Liu, Yanlan, Kelong Ai, Jianhua Liu, et al.. (2011). A High‐Performance Ytterbium‐Based Nanoparticulate Contrast Agent for In Vivo X‐Ray Computed Tomography Imaging. Angewandte Chemie. 124(6). 1466–1471. 33 indexed citations
20.
Liu, Yanlan, Kelong Ai, Qinghai Yuan, & Lehui Lu. (2010). Fluorescence-enhanced gadolinium-doped zinc oxide quantum dots for magnetic resonance and fluorescence imaging. Biomaterials. 32(4). 1185–1192. 194 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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