Yunjun Yang

2.6k total citations
135 papers, 1.7k citations indexed

About

Yunjun Yang is a scholar working on Neurology, Radiology, Nuclear Medicine and Imaging and Pulmonary and Respiratory Medicine. According to data from OpenAlex, Yunjun Yang has authored 135 papers receiving a total of 1.7k indexed citations (citations by other indexed papers that have themselves been cited), including 57 papers in Neurology, 51 papers in Radiology, Nuclear Medicine and Imaging and 43 papers in Pulmonary and Respiratory Medicine. Recurrent topics in Yunjun Yang's work include Radiomics and Machine Learning in Medical Imaging (33 papers), Intracranial Aneurysms: Treatment and Complications (28 papers) and Cerebrovascular and Carotid Artery Diseases (25 papers). Yunjun Yang is often cited by papers focused on Radiomics and Machine Learning in Medical Imaging (33 papers), Intracranial Aneurysms: Treatment and Complications (28 papers) and Cerebrovascular and Carotid Artery Diseases (25 papers). Yunjun Yang collaborates with scholars based in China, United States and Australia. Yunjun Yang's co-authors include Jinjin Liu, Weijian Chen, Nengzhi Xia, Qian Chen, Hongchang Gao, Yongchun Chen, Weijian Chen, Bing Zhao, Liangcai Zhao and Dongqin Zhu and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and Stroke.

In The Last Decade

Yunjun Yang

127 papers receiving 1.7k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Yunjun Yang China 21 736 503 450 418 178 135 1.7k
Zenon Mariak Poland 22 602 0.8× 222 0.4× 371 0.8× 294 0.7× 186 1.0× 130 1.7k
Keita Sakurai Japan 21 571 0.8× 353 0.7× 289 0.6× 223 0.5× 108 0.6× 114 1.4k
Yingqi Xing China 23 813 1.1× 183 0.4× 510 1.1× 610 1.5× 99 0.6× 93 1.6k
Manabu Sakaguchi Japan 29 473 0.6× 186 0.4× 760 1.7× 825 2.0× 163 0.9× 99 2.2k
Kathleen K. Kibler United States 21 1.0k 1.4× 476 0.9× 163 0.4× 295 0.7× 250 1.4× 43 1.6k
Pedro Castro Portugal 19 589 0.8× 219 0.4× 362 0.8× 458 1.1× 65 0.4× 66 1.1k
Shuhei Okazaki Japan 26 432 0.6× 111 0.2× 412 0.9× 718 1.7× 127 0.7× 74 1.6k
Hideyuki Ishihara Japan 22 813 1.1× 98 0.2× 369 0.8× 422 1.0× 250 1.4× 126 1.8k
Tae Jung Kim South Korea 22 822 1.1× 163 0.3× 458 1.0× 854 2.0× 430 2.4× 93 2.2k
Jan Liman Germany 22 453 0.6× 111 0.2× 403 0.9× 777 1.9× 208 1.2× 78 1.4k

Countries citing papers authored by Yunjun Yang

Since Specialization
Citations

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

Fields of papers citing papers by Yunjun Yang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yunjun Yang

This figure shows the co-authorship network connecting the top 25 collaborators of Yunjun Yang. A scholar is included among the top collaborators of Yunjun Yang 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 Yunjun Yang. Yunjun Yang 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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Wang, Jingru, et al.. (2025). Association of small vessel disease progression with longitudinal cognitive decline across mild cognitive impairment. Journal of Alzheimer s Disease. 103(3). 714–723.
3.
Cai, Pei, Zhou Cai, Meiling Chen, et al.. (2025). Distinguishing atypical parotid carcinomas and pleomorphic adenomas based on multiphasic computed tomography radiomics nomogram: a multicenter study. Frontiers in Oncology. 15. 1625487–1625487. 1 indexed citations
4.
Liu, Wenhui, Weili Peng, Jiaqi Zhang, et al.. (2024). Enhanced Prediction of Malignant Cerebral Edema in Large Vessel Occlusion with Successful Recanalization Through Automated Weighted Net Water Uptake. World Neurosurgery. 188. e312–e319. 1 indexed citations
5.
Chen, Yongchun, et al.. (2024). Clinical-Radiomics Nomogram Model Based on CT Angiography for Prediction of Intracranial Aneurysm Rupture: A Multicenter Study. Journal of Multidisciplinary Healthcare. Volume 17. 5917–5926.
6.
Mao, Yicheng, Jiacheng Li, Zhengxiao Zhao, et al.. (2023). Predicting very early recurrence in intrahepatic cholangiocarcinoma after curative hepatectomy using machine learning radiomics based on CECT: A multi-institutional study. Computers in Biology and Medicine. 167. 107612–107612. 12 indexed citations
7.
Xu, Yuchen, Emma Foster, Huiqin Xu, et al.. (2023). Development and validation of a novel radiomics-clinical model for predicting post-stroke epilepsy after first-ever intracerebral haemorrhage. European Radiology. 33(7). 4526–4536. 7 indexed citations
8.
Hu, Yingying, et al.. (2023). The effect of shikonin on the metabolism of lapatinib in vitro, and in vivo. Toxicology and Applied Pharmacology. 482. 116797–116797.
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Huang, Xiaowan, Jie Ding, Meng‐Ting Cai, et al.. (2023). An ultrasound-based radiomics model for survival prediction in patients with endometrial cancer. Journal of Medical Ultrasonics. 50(4). 501–510. 2 indexed citations
12.
Chen, Qingqing, Yuanyuan Zhang, Dan Cao, et al.. (2022). A novel multimodal deep learning model for preoperative prediction of microvascular invasion and outcome in hepatocellular carcinoma. European Journal of Surgical Oncology. 49(1). 156–164. 18 indexed citations
13.
Chen, Qian, Mingyue Zhang, Jie Chen, et al.. (2020). Radiomics for intracerebral hemorrhage: are all small hematomas benign?. British Journal of Radiology. 94(1119). 20201047–20201047. 15 indexed citations
14.
Xia, Nengzhi, Yue Zhang, Yunjun Yang, et al.. (2016). Larger size ratio associated with the rupture of very small (≤3 mm) anterior communicating artery aneurysms. Journal of NeuroInterventional Surgery. 9(3). 278–282. 27 indexed citations
15.
Chen, Weijian, Lei Ruan, Yongchun Chen, et al.. (2016). Sex differences in aneurysm morphologies and clinical outcomes in ruptured anterior communicating artery aneurysms: a retrospective study. BMJ Open. 6(4). e009920–e009920. 14 indexed citations
16.
Xia, Nengzhi, Yijun Liu, Ming Zhong, et al.. (2015). Smoking Associated with Increased Aneurysm Size in Patients with Anterior Communicating Artery Aneurysms. World Neurosurgery. 87. 155–161. 18 indexed citations
17.
Zhao, Liangcai, Yongquan Zheng, Minjiang Chen, et al.. (2014). Systemic and characteristic metabolites in the serum of streptozotocin-induced diabetic rats at different stages as revealed by a 1H-NMR based metabonomic approach. Molecular BioSystems. 10(3). 686–693. 48 indexed citations
18.
Li, Rui, et al.. (2014). Analysis of changes of cerebral perfusion in surrounding brain parenchyma after aneurismal subarachnoid hemorrhage. Zhonghua shenjing waike zazhi. 30(1). 50–55. 1 indexed citations
19.
Xiong, Bing, Weijian Chen, Hongqing Wang, et al.. (2012). Prediction of hemorrhagic transformation in acute ischemic stroke using permeability surface of CT perfusion. Zhonghua fangshexian yixue zazhi. 46(7). 593–597. 2 indexed citations
20.
Chen, Weijian, et al.. (2011). Hemodynamics assessment by perfusion computed tomography in a canine model of portal hypertension. Zhonghua putong waike zazhi. 26(5). 402–405. 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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