Zihan Mei

681 total citations
19 papers, 478 citations indexed

About

Zihan Mei is a scholar working on Artificial Intelligence, Radiology, Nuclear Medicine and Imaging and Cardiology and Cardiovascular Medicine. According to data from OpenAlex, Zihan Mei has authored 19 papers receiving a total of 478 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Artificial Intelligence, 6 papers in Radiology, Nuclear Medicine and Imaging and 3 papers in Cardiology and Cardiovascular Medicine. Recurrent topics in Zihan Mei's work include Radiomics and Machine Learning in Medical Imaging (6 papers), AI in cancer detection (4 papers) and Artificial Intelligence in Healthcare and Education (3 papers). Zihan Mei is often cited by papers focused on Radiomics and Machine Learning in Medical Imaging (6 papers), AI in cancer detection (4 papers) and Artificial Intelligence in Healthcare and Education (3 papers). Zihan Mei collaborates with scholars based in China, Singapore and United Kingdom. Zihan Mei's co-authors include Salame Haddad, Francesca Melle, Emily Linnane, David Fairen‐Jiménez, Jianqiao Zhou, Yijie Dong, Jianqiao Zhou, Dong Ni, Zehui Lin and Wenwen Xu and has published in prestigious journals such as Chemical Society Reviews, Biomaterials and Advanced Science.

In The Last Decade

Zihan Mei

17 papers receiving 474 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Zihan Mei China 8 188 125 107 104 94 19 478
Chaoping Li China 11 58 0.3× 99 0.8× 255 2.4× 164 1.6× 17 0.2× 14 524
Yawen Wu China 10 75 0.4× 107 0.9× 40 0.4× 46 0.4× 49 0.5× 25 378
Yuxi C. Dong United States 12 337 1.8× 174 1.4× 122 1.1× 35 0.3× 6 0.1× 17 594
Zhenchao Tao China 11 150 0.8× 102 0.8× 22 0.2× 27 0.3× 9 0.1× 33 378
Yuchen Zhang China 13 75 0.4× 69 0.6× 37 0.3× 26 0.3× 17 0.2× 34 412
Hideki Sasaki Japan 12 70 0.4× 73 0.6× 28 0.3× 15 0.1× 21 0.2× 42 676
Reza Paydar Iran 11 163 0.9× 95 0.8× 115 1.1× 9 0.1× 20 0.2× 39 599
Ahmad Bitarafan‐Rajabi Iran 19 376 2.0× 153 1.2× 632 5.9× 86 0.8× 9 0.1× 86 1.0k
Jichun Li China 14 155 0.8× 164 1.3× 36 0.3× 16 0.2× 27 0.3× 32 535
Xueyuan Huang China 15 206 1.1× 99 0.8× 18 0.2× 22 0.2× 10 0.1× 50 698

Countries citing papers authored by Zihan Mei

Since Specialization
Citations

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

Fields of papers citing papers by Zihan Mei

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Zihan Mei

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

All Works

19 of 19 papers shown
1.
Li, Yue, Zihan Mei, Ji Li, et al.. (2025). Cardiometabolic multimorbidity and the risk of sudden cardiac death among geriatric community dwellers using longitudinal EHR-derived data. Frontiers in Endocrinology. 16. 1515495–1515495. 1 indexed citations
2.
Li, Yue, Zihan Mei, Ji Li, et al.. (2025). Machine learning for sudden cardiac death prediction among older adults using community-based electronic health records. BMC Public Health. 25(1). 3521–3521.
3.
Xia, Shujun, Qing Hua, Zihan Mei, et al.. (2024). Clinical application potential of large language model: a study based on thyroid nodules. Endocrine. 87(1). 206–213. 3 indexed citations
4.
Xia, Shujun, Yixuan Yang, Jiale Xu, et al.. (2024). Transforming free-text radiology reports into structured reports using ChatGPT: A study on thyroid ultrasonography. European Journal of Radiology. 175. 111458–111458. 19 indexed citations
5.
Zhang, Y., Zihan Mei, Qing Hua, et al.. (2024). Performance of large language models on benign prostatic hyperplasia frequently asked questions. The Prostate. 84(9). 807–813. 7 indexed citations
6.
Li, Yue, Tao Liu, Ji Li, et al.. (2024). Risk Prediction for Sudden Cardiac Death in the General Population: A Systematic Review and Meta-Analysis. International Journal of Public Health. 69. 1606913–1606913. 4 indexed citations
7.
Jia, Xiaohong, Wufeng Xue, Wenwen Xu, et al.. (2024). An efficient framework for lesion segmentation in ultrasound images using global adversarial learning and region-invariant loss. Computers in Biology and Medicine. 171. 108137–108137. 3 indexed citations
8.
9.
Huang, Lin, Zihan Mei, Jianfeng Ye, & Qihao Guo. (2023). AMES: An Automated Self-Administered Scale to Detect Incipient Cognitive Decline in Primary Care Settings. Assessment. 30(7). 2247–2257. 2 indexed citations
10.
Mei, Zihan, et al.. (2022). Coupling Coordination of China’s Agricultural Environment and Economy under the New Economic Background. Agriculture. 12(8). 1147–1147. 7 indexed citations
11.
Zhou, Jianqiao, Xiaohong Jia, Zehui Lin, et al.. (2022). Multi-Attribute Attention Network for Interpretable Diagnosis of Thyroid Nodules in Ultrasound Images. IEEE Transactions on Ultrasonics Ferroelectrics and Frequency Control. 69(9). 2611–2620. 20 indexed citations
12.
Linnane, Emily, Salame Haddad, Francesca Melle, Zihan Mei, & David Fairen‐Jiménez. (2022). The uptake of metal–organic frameworks: a journey into the cell. Chemical Society Reviews. 51(14). 6065–6086. 151 indexed citations
13.
Huang, Ruobing, Haoran Dou, Zehui Lin, et al.. (2022). Boundary-rendering network for breast lesion segmentation in ultrasound images. Medical Image Analysis. 80. 102478–102478. 61 indexed citations
14.
Ding, Dandan, Zihan Mei, Hui Huang, et al.. (2022). Oxygen‐Independent Sulfate Radical for Stimuli‐Responsive Tumor Nanotherapy. Advanced Science. 9(17). e2200974–e2200974. 39 indexed citations
15.
Mei, Zihan, et al.. (2022). Green finance and industrial pollution: Empirical research based on spatial perspective. Frontiers in Environmental Science. 10. 6 indexed citations
16.
Huang, Ruobing, Zehui Lin, Haoran Dou, et al.. (2021). AW3M: An auto-weighting and recovery framework for breast cancer diagnosis using multi-modal ultrasound. Medical Image Analysis. 72. 102137–102137. 40 indexed citations
17.
Liu, Yayuan, Zihan Mei, Ling Mei, et al.. (2020). Analytical method development and comparability study for AmBisome® and generic Amphotericin B liposomal products. European Journal of Pharmaceutics and Biopharmaceutics. 157. 241–249. 19 indexed citations
18.
Mei, Zihan, Duyang Gao, Dehong Hu, et al.. (2020). Activatable NIR-II photoacoustic imaging and photochemical synergistic therapy of MRSA infections using miniature Au/Ag nanorods. Biomaterials. 251. 120092–120092. 93 indexed citations
19.
Yu, Zhuhuan, et al.. (2019). Microstructure evolution of monocrystalline superalloy with boron addition. Materials Research Express. 6(11). 116544–116544. 3 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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