Yangyang Kan

519 total citations
6 papers, 375 citations indexed

About

Yangyang Kan is a scholar working on Radiology, Nuclear Medicine and Imaging, Obstetrics and Gynecology and Pulmonary and Respiratory Medicine. According to data from OpenAlex, Yangyang Kan has authored 6 papers receiving a total of 375 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Radiology, Nuclear Medicine and Imaging, 4 papers in Obstetrics and Gynecology and 1 paper in Pulmonary and Respiratory Medicine. Recurrent topics in Yangyang Kan's work include Radiomics and Machine Learning in Medical Imaging (6 papers), MRI in cancer diagnosis (5 papers) and Endometrial and Cervical Cancer Treatments (4 papers). Yangyang Kan is often cited by papers focused on Radiomics and Machine Learning in Medical Imaging (6 papers), MRI in cancer diagnosis (5 papers) and Endometrial and Cervical Cancer Treatments (4 papers). Yangyang Kan collaborates with scholars based in China and United States. Yangyang Kan's co-authors include Yahong Luo, Jie Tian, Wenyan Jiang, Di Dong, Lu Han, Tao Yu, Zhenyu Liu, Yongbei Zhu, Nannan Zhao and Mengjie Fang and has published in prestigious journals such as SHILAP Revista de lepidopterología, Journal of Magnetic Resonance Imaging and European Radiology.

In The Last Decade

Yangyang Kan

6 papers receiving 369 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Yangyang Kan China	6	326	129	99	60	47	6	375
Caixia Sun China	8	229 0.7×	109 0.8×	68 0.7×	59 1.0×	35 0.7×	16	282
Nannan Zhao China	10	220 0.7×	57 0.4×	79 0.8×	62 1.0×	43 0.9×	18	322
Yongai Li China	9	231 0.7×	45 0.3×	107 1.1×	32 0.5×	16 0.3×	25	314
Chang Suk Park South Korea	10	331 1.0×	112 0.9×	34 0.3×	44 0.7×	76 1.6×	25	532
Jieun Koh South Korea	13	189 0.6×	70 0.5×	17 0.2×	68 1.1×	64 1.4×	25	394
Juebin Jin China	12	307 0.9×	49 0.4×	64 0.6×	116 1.9×	13 0.3×	25	387
C. Balleyguier France	9	134 0.4×	57 0.4×	59 0.6×	212 3.5×	51 1.1×	16	340
Bao Feng China	10	345 1.1×	80 0.6×	13 0.1×	202 3.4×	23 0.5×	32	413
Rushuang Mao China	7	415 1.3×	237 1.8×	9 0.1×	85 1.4×	82 1.7×	12	521
Yixin Hu China	8	400 1.2×	239 1.9×	8 0.1×	83 1.4×	79 1.7×	14	522

Countries citing papers authored by Yangyang Kan

Since Specialization

Citations

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

Fields of papers citing papers by Yangyang Kan

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yangyang Kan

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

All Works

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6 of 6 papers shown

1.

Yu, Tao, et al.. (2022). Multi-parametric MRI-based peritumoral radiomics on prediction of lymph-vascular space invasion in early-stage cervical cancer. SHILAP Revista de lepidopterología. 28(4). 312–321. 22 indexed citations

2.

Wang, Xiaoyu, Nannan Zhao, Guanyu Liu, et al.. (2021). Radiomic Evaluations of the Diagnostic Performance of DM, DBT, DCE MRI, DWI, and Their Combination for the Diagnosisof Breast Cancer. Frontiers in Oncology. 11. 725922–725922. 12 indexed citations

3.

Jiang, Xiran, Yangyang Kan, Tao Yu, et al.. (2020). MRI Based Radiomics Approach With Deep Learning for Prediction of Vessel Invasion in Early-Stage Cervical Cancer. IEEE/ACM Transactions on Computational Biology and Bioinformatics. 18(3). 995–1002. 61 indexed citations

4.

Fang, Mengjie, Yangyang Kan, Di Dong, et al.. (2020). Multi-Habitat Based Radiomics for the Prediction of Treatment Response to Concurrent Chemotherapy and Radiation Therapy in Locally Advanced Cervical Cancer. Frontiers in Oncology. 10. 563–563. 50 indexed citations

5.

Han, Lu, Yongbei Zhu, Zhenyu Liu, et al.. (2019). Radiomic nomogram for prediction of axillary lymph node metastasis in breast cancer. European Radiology. 29(7). 3820–3829. 149 indexed citations

6.

Kan, Yangyang, Di Dong, Yuchen Zhang, et al.. (2018). Radiomic signature as a predictive factor for lymph node metastasis in early‐stage cervical cancer. Journal of Magnetic Resonance Imaging. 49(1). 304–310. 81 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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