Yanchun Lv

413 total citations
9 papers, 268 citations indexed

About

Yanchun Lv is a scholar working on Radiology, Nuclear Medicine and Imaging, Genetics and Epidemiology. According to data from OpenAlex, Yanchun Lv has authored 9 papers receiving a total of 268 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Radiology, Nuclear Medicine and Imaging, 3 papers in Genetics and 2 papers in Epidemiology. Recurrent topics in Yanchun Lv's work include Radiomics and Machine Learning in Medical Imaging (3 papers), Glioma Diagnosis and Treatment (3 papers) and MRI in cancer diagnosis (2 papers). Yanchun Lv is often cited by papers focused on Radiomics and Machine Learning in Medical Imaging (3 papers), Glioma Diagnosis and Treatment (3 papers) and MRI in cancer diagnosis (2 papers). Yanchun Lv collaborates with scholars based in China and Canada. Yanchun Lv's co-authors include Ankui Yang, Dian Ouyang, Rong Zhang, Hui Li, Chuanmiao Xie, Xuewen Liu, Yinsheng Chen, Dong Liang, Qiuchang Sun and Yuanshen Zhao and has published in prestigious journals such as Radiology, Journal of Magnetic Resonance Imaging and World Neurosurgery.

In The Last Decade

Yanchun Lv

8 papers receiving 267 citations

Peers

Yanchun Lv
Caiqiang Xue China
Kay Pepin United States
Guoqiang Yang China
Qizheng Wang China
Ziwen Fan China
Kengo Ogura Japan
Kristofer Ramina Germany
Jasper Vonk Netherlands
Nina Martinez United States
Chi Yin Tso China
Caiqiang Xue China
Yanchun Lv
Citations per year, relative to Yanchun Lv Yanchun Lv (= 1×) peers Caiqiang Xue

Countries citing papers authored by Yanchun Lv

Since Specialization
Citations

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

Fields of papers citing papers by Yanchun Lv

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yanchun Lv

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

All Works

9 of 9 papers shown
1.
2.
Li, Cong, Chang Yi, Shaoyan Xi, et al.. (2021). Identify glioma recurrence and treatment effects with triple-tracer PET/CT. BMC Medical Imaging. 21(1). 92–92. 7 indexed citations
3.
Lv, Yanchun, Jian Zhou, Xiaofei Lv, et al.. (2020). Dual-energy spectral CT quantitative parameters for the differentiation of Glioma recurrence from treatment-related changes: a preliminary study. BMC Medical Imaging. 20(1). 5–5. 9 indexed citations
4.
Liu, Jie, Cong Li, Yinsheng Chen, et al.. (2019). Diagnostic performance of multiparametric MRI in the evaluation of treatment response in glioma patients at 3T. Journal of Magnetic Resonance Imaging. 51(4). 1154–1161. 36 indexed citations
5.
Cai, Hongmin, Xiaolin Pang, Dong Dong, et al.. (2019). Molecular Decision Tree Algorithms Predict Individual Recurrence Pattern for Locally Advanced Nasopharyngeal Carcinoma. Journal of Cancer. 10(15). 3323–3332. 5 indexed citations
6.
He, Chaobin, Wanming Hu, Qian Cai, et al.. (2019). A feasible CT feature to differentiate focal‐type autoimmune pancreatitis from pancreatic ductal adenocarcinoma. Cancer Medicine. 8(14). 6250–6257. 4 indexed citations
7.
Li, Zhicheng, Hongmin Bai, Qiuchang Sun, et al.. (2018). Multiregional radiomics profiling from multiparametric MRI: Identifying an imaging predictor of IDH1 mutation status in glioblastoma. Cancer Medicine. 7(12). 5999–6009. 78 indexed citations
8.
Zhou, Jian, Jingxian Shen, Yun Zhang, et al.. (2016). Small cell carcinoma of the rectum: A report of imaging results from four cases. Oncology Letters. 11(3). 1671–1676. 3 indexed citations
9.
Liu, Xuewen, Dian Ouyang, Hui Li, et al.. (2014). Papillary Thyroid Cancer: Dual-Energy Spectral CT Quantitative Parameters for Preoperative Diagnosis of Metastasis to the Cervical Lymph Nodes. Radiology. 275(1). 167–176. 126 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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