Yankai Meng

631 total citations
24 papers, 423 citations indexed

About

Yankai Meng is a scholar working on Radiology, Nuclear Medicine and Imaging, Pulmonary and Respiratory Medicine and Oncology. According to data from OpenAlex, Yankai Meng has authored 24 papers receiving a total of 423 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Radiology, Nuclear Medicine and Imaging, 7 papers in Pulmonary and Respiratory Medicine and 7 papers in Oncology. Recurrent topics in Yankai Meng's work include Radiomics and Machine Learning in Medical Imaging (11 papers), Colorectal Cancer Surgical Treatments (6 papers) and Advanced X-ray and CT Imaging (6 papers). Yankai Meng is often cited by papers focused on Radiomics and Machine Learning in Medical Imaging (11 papers), Colorectal Cancer Surgical Treatments (6 papers) and Advanced X-ray and CT Imaging (6 papers). Yankai Meng collaborates with scholars based in China and Taiwan. Yankai Meng's co-authors include Hongmei Zhang, Song Hu, Kai Xu, Xinming Zhao, Chunwu Zhou, Jie Tian, Zhenhui Li, Kai Sun, Lijuan Wan and Meiyun Wang and has published in prestigious journals such as Nature Communications, Scientific Reports and Oncotarget.

In The Last Decade

Yankai Meng

18 papers receiving 420 citations

Peers

Yankai Meng
Silvia Girolama Drago Italy
Virginia Liberini Italy
J.L. Carreras-Delgado Spain
Jaspal Juttla United Kingdom
Nemanja Avramović Germany
Xinming Zhao China
Eralda Mema United States
Cai‐Fang Ni China
Anna Borra Italy
Silvia Girolama Drago Italy
Yankai Meng
Citations per year, relative to Yankai Meng Yankai Meng (= 1×) peers Silvia Girolama Drago

Countries citing papers authored by Yankai Meng

Since Specialization
Citations

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

Fields of papers citing papers by Yankai Meng

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yankai Meng

This figure shows the co-authorship network connecting the top 25 collaborators of Yankai Meng. A scholar is included among the top collaborators of Yankai Meng 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 Yankai Meng. Yankai Meng 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
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Yu, Meng, He Zhang, Dapeng Zhang, et al.. (2025). Comparison of image quality of 40 keV virtual monoenergetic images of vertebral arteries using DLIR and ASIR-V algorithms under a dual-low scanning protocol. European Journal of Radiology. 191. 112276–112276.
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Zhang, He, et al.. (2025). Image quality improvement in head and neck angiography based on dual-energy CT and deep learning. BMC Medical Imaging. 25(1). 115–115.
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Wang, Jiali, et al.. (2023). Delays in first medical contact to primary interventional therapy and left ventricular remodelling in ST-segment elevation myocardial infarction. Irish Journal of Medical Science (1971 -). 192(5). 2143–2150. 2 indexed citations
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Meng, Yankai, et al.. (2022). CD36: an emerging therapeutic target for cancer and its molecular mechanisms. Journal of Cancer Research and Clinical Oncology. 148(7). 1551–1558. 54 indexed citations
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Yu, Miao, Yankai Meng, He Zhang, et al.. (2022). Associations between pericarotid fat density and image-based risk characteristics of carotid plaque. European Journal of Radiology. 153. 110364–110364. 14 indexed citations
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Tang, Lu, et al.. (2021). Longitudinal evaluation for COVID‐19 chest CT disease progression based on Tchebichef moments. International Journal of Imaging Systems and Technology. 31(3). 1120–1127. 4 indexed citations
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Dou, Peipei, Yankai Meng, Shuai Zhang, et al.. (2021). Serial CT changes in different components of lung cancer associated with cystic airspace in patients treated with neoadjuvant chemotherapy. Scientific Reports. 11(1). 23544–23544. 1 indexed citations
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Dou, Peipei, Shuai Zhang, Lulu Cai, et al.. (2020). Serial CT features in discharged COVID-19 patients with positive RT-PCR re-test. European Journal of Radiology. 127. 109010–109010. 23 indexed citations
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Liu, Zhenyu, Xiaochun Meng, Hongmei Zhang, et al.. (2020). Predicting distant metastasis and chemotherapy benefit in locally advanced rectal cancer. Nature Communications. 11(1). 4308–4308. 109 indexed citations
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Dou, Peipei, Zhongxiao Liu, Chen Wang, et al.. (2020). The predictive value of energy spectral CT parameters for assessing Ki-67 expression of lung cancer. Translational Cancer Research. 9(7). 4267–4278. 2 indexed citations
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Meng, Yankai, Lijuan Wan, Chen Wang, et al.. (2019). The Predictive Value of Pre-/Postneoadjuvant Chemoradiotherapy MRI Characteristics for Patient Outcomes in Locally Advanced Rectal Cancer. Academic Radiology. 27(9). e233–e243. 12 indexed citations
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Wan, Lijuan, Qing Zhao, Yankai Meng, et al.. (2019). Developing a prediction model based on MRI for pathological complete response after neoadjuvant chemoradiotherapy in locally advanced rectal cancer. Abdominal Radiology. 44(9). 2978–2987. 11 indexed citations
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Liang, Meng, Hongmei Zhang, Chencui Huang, et al.. (2019). Machine Learning-based Analysis of Rectal Cancer MRI Radiomics for Prediction of Metachronous Liver Metastasis. Academic Radiology. 26(11). 1495–1504. 61 indexed citations
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Meng, Yankai, Lijuan Wan, Feng Ye, et al.. (2018). MRI morphologic and clinicopathologic characteristics for predicting outcomes in patients with locally advanced rectal cancer. Abdominal Radiology. 44(11). 3652–3663. 8 indexed citations
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Meng, Yankai, Hongmei Zhang, Feng Ye, et al.. (2017). [Measurement reproducibility of parameters derived from introvoxel incoherent motion diffusion-weighted MRI imaging of rectal cancer].. PubMed. 39(12). 910–915. 1 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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