Jing Ren

687 total citations
46 papers, 459 citations indexed

About

Jing Ren is a scholar working on Radiology, Nuclear Medicine and Imaging, Pulmonary and Respiratory Medicine and Otorhinolaryngology. According to data from OpenAlex, Jing Ren has authored 46 papers receiving a total of 459 indexed citations (citations by other indexed papers that have themselves been cited), including 28 papers in Radiology, Nuclear Medicine and Imaging, 13 papers in Pulmonary and Respiratory Medicine and 8 papers in Otorhinolaryngology. Recurrent topics in Jing Ren's work include Radiomics and Machine Learning in Medical Imaging (19 papers), MRI in cancer diagnosis (12 papers) and Lung Cancer Diagnosis and Treatment (9 papers). Jing Ren is often cited by papers focused on Radiomics and Machine Learning in Medical Imaging (19 papers), MRI in cancer diagnosis (12 papers) and Lung Cancer Diagnosis and Treatment (9 papers). Jing Ren collaborates with scholars based in China, United States and Israel. Jing Ren's co-authors include Peng Zhou, Jieke Liu, Jin Xiang, Xiang Liu, Yuyang Miao, Kun Chen, Hongbing Luo, Changjiu He, Chun‐Hua Wang and Zhenlin Li and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and Scientific Reports.

In The Last Decade

Jing Ren

44 papers receiving 458 citations

Peers

Countries citing papers authored by Jing Ren

Since Specialization

Citations

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

Fields of papers citing papers by Jing Ren

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jing Ren

This figure shows the co-authorship network connecting the top 25 collaborators of Jing Ren. A scholar is included among the top collaborators of Jing Ren 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 Jing Ren. Jing Ren 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 association between cyber victimization and social anxiety: A three‐level meta‐analysis 2024 ·Psychology in the Schools ·Shiyu Yang, Qi Zhang, Guangming Ran, (unknown), (unknown), Jing Ren	0
2	Oropharyngeal swab sampling for PRRSV detection in large-scale pig farms: a convenient and reliable method for mass sampling 2024 ·Porcine Health Management ·Mingyu Fan, Yang Li, Zhiqiang Hu, (unknown), Wei-Sheng Wu, Wei Liu, (unknown), Xinglong Wang, Jing Ren, (unknown), Xiaowen Li	1
3	Peritumoral edema enhances MRI-based deep learning radiomic model for axillary lymph node metastasis burden prediction in breast cancer 2024 ·Scientific Reports ·Hongbing Luo, Zhe Chen, Hao Xu, Jing Ren, Peng Zhou	3
4	An ordinal radiomic model to predict the differentiation grade of invasive non-mucinous pulmonary adenocarcinoma based on low-dose computed tomography in lung cancer screening 2023 ·European Radiology ·Yong Li, Jieke Liu, Xi Yang, (unknown), (unknown), Lu Wang, Changjiu He, (unknown), (unknown), Jing Ren, Peng Zhou	13
5	Infection characteristics of porcine circovirus type 2 in different herds from intensive farms in China, 2022 2023 ·Frontiers in Veterinary Science ·(unknown), (unknown), (unknown), Zhiqiang Hu, (unknown), (unknown), (unknown), Shuangxi Li, Lei Yue, Ying Wang, (unknown), Yongquan Wang, Zheng Yan, Jing Ren, Xiaowen Li	9
6	Predicting central lymph node metastasis in patients with papillary thyroid carcinoma based on ultrasound radiomic and morphological features analysis 2023 ·BMC Medical Imaging ·Yan Xiang, (unknown), Yanan Yang, Jing Ren, (unknown), Yifei Huang, Hongmei Yuan	6
7	Intra- and peritumoral MRI radiomics assisted in predicting radiochemotherapy response in metastatic cervical lymph nodes of nasopharyngeal cancer 2023 ·BMC Medical Imaging ·Hao Xu, Ai Wang, Chi Zhang, Jing Ren, Peng Zhou, Jieke Liu	4
8	Automatic tumor segmentation and metachronous single-organ metastasis prediction of nasopharyngeal carcinoma patients based on multi-sequence magnetic resonance imaging 2023 ·Frontiers in Oncology ·Yecai Huang, Yuxin Zhu, Qiang Yang, (unknown), Peng Zhang, (unknown), Jing Ren, Yazhou Ren, Jinyi Lang, Guohui Xu	5
9	Radiomic and quantitative-semantic models of low-dose computed tomography for predicting the poorly differentiated invasive non-mucinous pulmonary adenocarcinoma 2023 ·La radiologia medica ·Yong Li, Jieke Liu, Xi Yang, (unknown), Lu Wang, Changjiu He, (unknown), (unknown), Jing Ren, Peng Zhou	11
10	Cerebral Blood Flow Alterations in Type 2 Diabetes Mellitus: A Systematic Review and Meta-Analysis of Arterial Spin Labeling Studies 2022 ·Frontiers in Aging Neuroscience ·Jieke Liu, Xi Yang, Yong Li, Hao Xu, Jing Ren, Peng Zhou	13
11	Intratumoral and peritumoral radiomics based on dynamic contrast-enhanced MRI for preoperative prediction of intraductal component in invasive breast cancer 2022 ·European Radiology ·Hao Xu, Jieke Liu, Zhe Chen, Chun‐Hua Wang, Yuanyuan Liu, Min Wang, Peng Zhou, Hongbing Luo, Jing Ren	21
12	The diagnostic and prognostic value of radiomics and deep learning technologies for patients with solid pulmonary nodules in chest CT images 2022 ·BMC Cancer ·Rui Zhang, Ying Wei, Feng Shi, Jing Ren, Qing Zhou, Weimin Li, Bojiang Chen	24
13	Dynamic Three-Dimensional ADC Changes of Parotid Glands During Radiotherapy Predict the Salivary Secretary Function in Patients With Head and Neck Squamous Carcinoma 2021 ·Frontiers in Oncology ·Mei Feng, (unknown), Jing Ren, (unknown), Mei Lan, He Wang, Min Wang, Lu Li, Xiaojian Chen, Jinyi Lang	3
14	Regional Spontaneous Neural Activity Alterations in Type 2 Diabetes Mellitus: A Meta-Analysis of Resting-State Functional MRI Studies 2021 ·Frontiers in Aging Neuroscience ·Jieke Liu, Yong Li, Xi Yang, Hao Xu, Jing Ren, Peng Zhou	17
15	Development and Internal Validation of a Preoperative Prediction Model for Sentinel Lymph Node Status in Breast Cancer: Combining Radiomics Signature and Clinical Factors 2021 ·Frontiers in Oncology ·Chun‐Hua Wang, Xiaoyu Chen, Hongbing Luo, Yuanyuan Liu, Ruirui Meng, Min Wang, Siyun Liu, Guohui Xu, Jing Ren, Peng Zhou	12
16	Radiomic features of axillary lymph nodes based on pharmacokinetic modeling DCE-MRI allow preoperative diagnosis of their metastatic status in breast cancer 2021 ·PLoS ONE ·Hongbing Luo, Yuanyuan Liu, Chunhua Wang, (unknown), Min Wang, Xin Zhang, Xiaoyu Chen, (unknown), Peng Zhou, Jing Ren	6
17	Chemotherapy-induced grey matter abnormalities in cancer survivors: a voxel-wise neuroimaging meta-analysis 2020 ·Brain Imaging and Behavior ·(unknown), Mingying Du, Jing Ren, (unknown), Xiaodong Wang, (unknown), Du Lei, Peng Zhou	20
18	Screening baseline characteristics of early lung cancer on low-dose computed tomography with computer-aided detection in a Chinese population 2019 ·Cancer Epidemiology ·Yuanyuan Liu, Hongbin Luo, (unknown), Xiaodong Wang, Jing Ren, (unknown), (unknown), Changjiu He, Peng Zhou	10
19	Quantitative Assessment of the Presence and Severity of Cirrhosis in Patients with Hepatitis B Using Right Liver Lobe Volume and Spleen Size Measured at Magnetic Resonance Imaging 2014 ·PLoS ONE ·Xiaoli Chen, Tian‐wu Chen, Xiao Ming Zhang, Zhenlin Li, (unknown), Ting Li, Dan Wang, Jie Li, Zhijia Fang, Hang Li, Jia Chen, Jun Liu, (unknown), Jing Ren, Jianlin Wu, Chunping Li	20
20	Application of diffusion-weighted imaging for the differential diagnosis of soft-tissue tumors 2012 ·Zhongguo jiceng yiyao ·Ying Cao, Jing Ren, Min Wang, (unknown), (unknown), Xiao Yan, (unknown)	1

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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