Jiejun Cheng

789 total citations
36 papers, 600 citations indexed

About

Jiejun Cheng is a scholar working on Radiology, Nuclear Medicine and Imaging, Biomedical Engineering and Biomaterials. According to data from OpenAlex, Jiejun Cheng has authored 36 papers receiving a total of 600 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Radiology, Nuclear Medicine and Imaging, 15 papers in Biomedical Engineering and 7 papers in Biomaterials. Recurrent topics in Jiejun Cheng's work include Advanced X-ray and CT Imaging (9 papers), Medical Imaging Techniques and Applications (8 papers) and Radiomics and Machine Learning in Medical Imaging (7 papers). Jiejun Cheng is often cited by papers focused on Advanced X-ray and CT Imaging (9 papers), Medical Imaging Techniques and Applications (8 papers) and Radiomics and Machine Learning in Medical Imaging (7 papers). Jiejun Cheng collaborates with scholars based in China, Australia and North Korea. Jiejun Cheng's co-authors include Huawei Wu, Jianrong Xu, Shiteng Suo, XU Jian-rong, Ying Zhang, Jun Zhu, Yang Teng, Ying Zhu, Jingyi Wu and R.Z. Wang and has published in prestigious journals such as PLoS ONE, Scientific Reports and British Journal of Cancer.

In The Last Decade

Jiejun Cheng

35 papers receiving 592 citations

Peers

Countries citing papers authored by Jiejun Cheng

Since Specialization

Citations

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

Fields of papers citing papers by Jiejun Cheng

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jiejun Cheng

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

All Works

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20 of 20 papers shown

#	Work	Indexed citations
1	The value of MRI in differentiating ovarian clear cell carcinoma from other adnexal masses with O-RADS MRI scores of 4–5 2025 ·Insights into Imaging ·Lingling Lin, (unknown), Huawei Wu, (unknown), Guangquan Chen, Lei Chen, Jun‐Jie Zhu, (unknown), Jiejun Cheng	0
2	A comprehensive model combining radiomics and risk factors for predicting massive hemorrhage in cesarean scar pregnancy during dilatation and curettage 2025 ·European Journal of Radiology Open ·(unknown), (unknown), (unknown), Yafen Li, Zeyi Zhang, Yong Zhang, (unknown), Jie Shi, Jiejun Cheng	1
3	APOBEC3B stratifies ovarian clear cell carcinoma with distinct immunophenotype and prognosis 2023 ·British Journal of Cancer ·Xiaoran Long, Huaiwu Lu, Mei‐Chun Cai, (unknown), Zhuqing Zhang, Jie Wu, (unknown), Lin Cheng, Jiejun Cheng, Lydia W.T. Cheung, Zhen Shen, Ying Zhou, Wen Di, Guanglei Zhuang, Xia Yin	4
4	Dual-layer spectral detector CT: predicting the invasiveness of pure ground-glass adenocarcinoma 2022 ·Clinical Radiology ·Ye Yu, Yonglun Fu, (unknown), Yaoyu Zhang, Fang Zhang, X. Li, Xiaojing Zhao, Jiejun Cheng, Huawei Wu	13
5	Determining the invasiveness of ground-glass nodules using a 3D multi-task network 2021 ·European Radiology ·Ye Yu, Na Wang, Ning Huang, Xinglong Liu, Yuanjie Zheng, (unknown), Xiaoqian Li, Huawei Wu, Jianrong Xu, Jiejun Cheng	18
6	Noninvasive evaluation of hypoxia in rabbit VX2 lung transplant tumors using spectral CT parameters and texture analysis 2021 ·Japanese Journal of Radiology ·(unknown), Feng Zhang, Ye Yu, (unknown), (unknown), Jiejun Cheng, Huawei Wu	4
7	Baseline immunity and impact of chemotherapy on immune microenvironment in cervical cancer 2020 ·British Journal of Cancer ·Yi Zhang, Minhua Yu, Ying Jing, Jiejun Cheng, Caiyan Zhang, Lin Cheng, Haijiao Lu, Mei‐Chun Cai, Jie Wu, Wenjing Wang, Weihua Lou, Lihua Qiu, Li Tan, Huaiwu Lu, Xia Yin, (unknown), Wen Di	50
8	Determining the invasiveness of pure ground-glass nodules using dual-energy spectral computed tomography 2020 ·Translational Lung Cancer Research ·Ye Yu, Jiejun Cheng, Jianying Li, Ying Zhang, (unknown), Feng Zhang, XU Jian-rong, Xiaojing Zhao, Huawei Wu	14
9	<p>Niraparib as Maintenance Therapy in Germline ATM-mutated and Somatic <em>BRCA2</em>-mutated Ovarian Cancer with Brain Metastases: A Case Report and Literature Review</p> 2020 ·OncoTargets and Therapy ·(unknown), Jiejun Cheng, Xia Wu	11
10	Impact of different scanners and acquisition parameters on robustness of MR radiomics features based on women’s cervix 2020 ·Scientific Reports ·(unknown), (unknown), Shiteng Suo, Jiejun Cheng, Suqin Li, Shaofeng Duan, Qing Lü	18
11	The associations among quantitative spectral CT parameters, Ki-67 expression levels and EGFR mutation status in NSCLC 2020 ·Scientific Reports ·(unknown), Jiejun Cheng, (unknown), Ying Zhang, Feng Zhang, Jianrong Xu, Handong Jiang, Huawei Wu	22
12	Construction of DOX/APC co-loaded BiOI@CuS NPs for safe and highly effective CT imaging and chemo-photothermal therapy of lung cancer 2019 ·Journal of Materials Chemistry B ·Ying Zhang, Ruochen Wang, Wei Li, Gang Huang, Jun Zhu, Jiejun Cheng, (unknown)	16
13	A versatile theranostic nanoplatform based on mesoporous silica 2019 ·Materials Science and Engineering C ·Ying Zhang, Jiejun Cheng, Niannian Li, Ruochen Wang, Gang Huang, Jun Zhu, Dannong He	17
14	Diffusion-weighted MRI in solitary pulmonary lesions: associations between apparent diffusion coefficient and multiple histopathological parameters 2018 ·Scientific Reports ·(unknown), Zien Zhou, (unknown), Danni Zheng, Jiejun Cheng, (unknown), Jianrong Xu, Xiaojing Zhao, Huawei Wu	6
15	Improving Image Quality for Lung Cancer Imaging With Optimal Monochromatic Energy Level in Dual Energy Spectral Computed Tomography 2016 ·Journal of Computer Assisted Tomography ·(unknown), (unknown), (unknown), Jiejun Cheng, Qing Zhang, XU Jian-rong, Yang Li, Wei Zhou, Huawei Wu	10
16	Quantitative assessment of angiographic perfusion reduction using color-coded digital subtraction angiography during transarterial chemoembolization 2016 ·Abdominal Radiology ·Ji Wang, Jiejun Cheng, (unknown), Zhuang Zuo, Xuebin Zhang, Jiachang Chi, (unknown), Jianrong Xu	20
17	Assessment of Heterogeneity Difference Between Edge and Core by Using Texture Analysis 2016 ·Academic Radiology ·Shiteng Suo, Jiejun Cheng, Mengqiu Cao, Qing Lü, (unknown), Jianrong Xu, Huawei Wu	31
18	Can Spectral CT Imaging Improve the Differentiation between Malignant and Benign Solitary Pulmonary Nodules? 2016 ·PLoS ONE ·Ying Zhang, Jiejun Cheng, (unknown), (unknown), Chengdong Xu, Feng Zhang, XU Jian-rong, Huawei Wu	63
19	Entropy of T2-weighted Imaging Combined with Apparent Diffusion Coefficient in Prediction of Uterine Leiomyoma Volume Response after Uterine Artery Embolization 2014 ·Academic Radiology ·Mengqiu Cao, Shiteng Suo, (unknown), (unknown), Zhuang Zuo, Jiejun Cheng, Jiachang Chi, Jianrong Xu	13
20	Optimal Monochromatic Energy Levels in Spectral CT Pulmonary Angiography for the Evaluation of Pulmonary Embolism 2013 ·PLoS ONE ·Jiejun Cheng, (unknown), Huawei Wu, Qing Zhang, Jia Hua, (unknown), Jianrong Xu	28

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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