Jinrong Qu

7.3k total citations · 2 hit papers
95 papers, 1.8k citations indexed

About

Jinrong Qu is a scholar working on Radiology, Nuclear Medicine and Imaging, Pulmonary and Respiratory Medicine and Surgery. According to data from OpenAlex, Jinrong Qu has authored 95 papers receiving a total of 1.8k indexed citations (citations by other indexed papers that have themselves been cited), including 65 papers in Radiology, Nuclear Medicine and Imaging, 35 papers in Pulmonary and Respiratory Medicine and 27 papers in Surgery. Recurrent topics in Jinrong Qu's work include Radiomics and Machine Learning in Medical Imaging (47 papers), MRI in cancer diagnosis (32 papers) and Esophageal Cancer Research and Treatment (23 papers). Jinrong Qu is often cited by papers focused on Radiomics and Machine Learning in Medical Imaging (47 papers), MRI in cancer diagnosis (32 papers) and Esophageal Cancer Research and Treatment (23 papers). Jinrong Qu collaborates with scholars based in China, United States and Germany. Jinrong Qu's co-authors include Hailiang Li, Zaiyi Liu, Justyna Cholewa-Waclaw, Anura Rambukkana, Toshihiro Masaki, Zhenyu Liu, Zhenchao Tang, Karen Burr, Ryan L. Raaum and Zhaoqi Wang and has published in prestigious journals such as Cell, SHILAP Revista de lepidopterología and Blood.

In The Last Decade

Jinrong Qu

83 papers receiving 1.8k citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Radiomics of Multiparametric MRI for Pretreatment Prediction of Pathologic Complete Response to Neoadjuvant Chemotherapy in Breast Cancer: A Multicenter Study

2019 354 citations Zhenyu Liu, Zhuolin Li et al. Clinical Cancer Research profile →
MRI-based Quantification of Intratumoral Heterogeneity for Predicting Treatment Response to Neoadjuvant Chemotherapy in Breast Cancer

2023 112 citations Huan Lin, Jinrong Qu et al. profile →

Peers

Countries citing papers authored by Jinrong Qu

Since Specialization

Citations

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

Fields of papers citing papers by Jinrong Qu

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jinrong Qu

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

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

#	Work	Indexed citations
1	TRACE Model: Predicting Treatment Response to Transarterial Chemoembolization in Unresectable Hepatocellular Carcinoma 2025 ·Journal of Hepatocellular Carcinoma ·(unknown), Qi Zhang, (unknown), (unknown), (unknown), Tianyi Xia, Yang Song, Shuwei Zhou, (unknown), (unknown), (unknown), (unknown), Jinrong Qu, (unknown), Zhao Chen, Teng Zhang, (unknown), Shenghong Ju, Yuancheng Wang	2
2	Liver tumor imaging staging: a multi-institutional study of a preoperative staging tool for hepatocellular carcinoma 2024 ·Abdominal Radiology ·Qian Liu, Xiang Li, (unknown), (unknown), Xun Xu, Kai Qu, Jiaqi Xiao, Chenyue Liu, (unknown), Yinying Lu, Jinrong Qu, Yudong Zhang, Yuelang Zhang	2
3	Intravoxel incoherent motion diffusion-weighted imaging in evaluating preoperative staging of esophageal squamous cell carcinoma 2024 ·Cancer Imaging ·Tao Song, Shuang Lü, Jinrong Qu, Hongkai Zhang, Zhaoqi Wang, (unknown), Hailiang Li, (unknown), Jianjun Qin, (unknown), (unknown), (unknown)	0
4	The use of longitudinal CT-based radiomics and clinicopathological features predicts the pathological complete response of metastasized axillary lymph nodes in breast cancer 2024 ·BMC Cancer ·Jia Wang, Cong Tian, Bingjie Zheng, (unknown), Dechuang Jiao, Jinrong Qu, Zhenzhen Liu	4
5	Multiple diffusion models for predicting pathologic response of esophageal squamous cell carcinoma to neoadjuvant chemotherapy 2024 ·Abdominal Radiology ·(unknown), Long Cui, (unknown), Zhaoqi Wang, Keke Zhao, Shuting Wang, Shaoyu Wang, Xu Yan, Mengzhu Wang, Ihab R. Kamel, Guang Yang, Jinrong Qu	0
6	The value of intravoxel incoherent motion diffusion-weighted imaging in predicting perineural invasion for resectable gastric cancer: a prospective study 2023 ·Clinical Radiology ·Jiaqi Li, Yingying Wang, Hao Zhang, (unknown), (unknown), Jinrong Qu	2
7	Artificial intelligence-based computer-aided diagnosis system supports diagnosis of lymph node metastasis in esophageal squamous cell carcinoma: A multicenter study 2023 ·Heliyon ·Shuaitong Zhang, (unknown), Jie Zhang, Di Dong, Wei Mu, (unknown), Fangfang Fu, Yanan Lu, Shuo Wang, Zhenchao Tang, (unknown), Jinrong Qu, Meiyun Wang, Jie Tian, (unknown)	7
8	CT radiomics in the identification of preoperative understaging in patients with clinical stage T1–2N0 esophageal squamous cell carcinoma 2023 ·Quantitative Imaging in Medicine and Surgery ·(unknown), (unknown), (unknown), Haitao Zhu, Yan‐Jie Shi, Xiao-Ting Li, Jinrong Qu, Ying‐Shi Sun	4
9	Quantitative RECIST derived from multiparametric MRI in evaluating response of esophageal squamous cell carcinoma to neoadjuvant therapy 2022 ·European Radiology ·Jinrong Qu, Yu‐Dong Zhang, Shuang Lü, Wenqun Xing, Zheng Yan, Haibo Sun, (unknown), Qingxin Xia, Zhaoqi Wang, Hongkai Zhang, Shaoyu Wang, Jianjun Qin, Ihab R. Kamel, Hailiang Li	11
10	Predicting T and N Staging of Resectable Gastric Cancer According to Whole Tumor Histogram Analysis About a Non-Cartesian k-Space Acquisition DCE-MRI: A Feasibility Study 2021 ·Cancer Management and Research ·(unknown), Jinrong Qu, (unknown), Hongkai Zhang, Yanan Lu, (unknown)	2
11	The value of the tumour-stroma ratio for predicting neoadjuvant chemoradiotherapy response in locally advanced rectal cancer: a case control study 2021 ·BMC Cancer ·(unknown), Yaxi Zhu, Huan Lin, Shenyan Zhang, Suyun Li, Yanqi Huang, Chen Liu, Jinrong Qu, Changhong Liang, Ke Zhao, Zhenhui Li, Zaiyi Liu	11
12	Atypical lung feature on chest CT in a lung adenocarcinoma cancer patient infected with COVID-19 2020 ·Annals of Oncology ·Jinrong Qu, Rui Yang, (unknown), Ihab R. Kamel	24
13	Comparison of Chest CT Manifestations of Coronavirus Disease 2019 (COVID-19) and Pneumonia Associated with Lymphoma 2020 ·International Journal of Medical Sciences ·Shuting Wang, (unknown), Zhaoqi Wang, Xiaoqiang Yao, (unknown), Huan Liu, Jinrong Qu	0
14	Radiomics of Multiparametric MRI for Pretreatment Prediction of Pathologic Complete Response to Neoadjuvant Chemotherapy in Breast Cancer: A Multicenter Study breakdown → 2019 ·Clinical Cancer Research ·Zhenyu Liu, Zhuolin Li, Jinrong Qu, Renzhi Zhang, Xuezhi Zhou, Longfei Li, Kai Sun, Zhenchao Tang, Hui Jiang, Hailiang Li, Qianqian Xiong, Yingying Ding, Xinming Zhao, Kun Wang, Zaiyi Liu, Jie Tian	354
15	Clinical Validation of Automatable Gaussian Normalized CBV in Brain Tumor Analysis: Superior Reproducibility and Slightly Better Association with Survival than Current Standard Manual Normal Appearing White Matter Normalization 2018 ·Translational Oncology ·Lei Qin, Xiang Li, (unknown), Su–Chun Cheng, Jinrong Qu, Katherine L. Reinshagen, (unknown), Nathan Himes, Lu Gao, Xiaoyin Xu, Geoffrey S. Young	3
16	The MR radiomic signature can predict preoperative lymph node metastasis in patients with esophageal cancer 2018 ·European Radiology ·Jinrong Qu, Chen Shen, Jianjun Qin, Zhaoqi Wang, Zhenyu Liu, Jia Guo, Hongkai Zhang, (unknown), (unknown), Yingshu Wang, Hui Liu, Ihab R. Kamel, Jie Tian, Hailiang Li	63
17	Normalization of ADC does not improve correlation with overall survival in patients with high-grade glioma (HGG) 2018 ·Journal of Neuro-Oncology ·Lei Qin, (unknown), Jinrong Qu, Katherine L. Reinshagen, Xiang Li, Su–Chun Cheng, Annie G. Bryant, Geoffrey S. Young	15
18	The values of pre-operative T staging of potentially resectable esophageal cancer: Blade combining with breath-free radial VIBE 2017 ·Zhonghua fangshexian yixue zazhi ·(unknown), Hongkai Zhang, Xiang Li, (unknown), Yafeng Dong, Hailiang Li, Jinrong Qu, (unknown), (unknown), (unknown)	1
19	3.0T MRI for long-term observation of lung nodules post cryoablation: a pilot study 2017 ·Cancer Imaging ·Jing Li, Jinrong Qu, Hongkai Zhang, Yingshu Wang, Zheng Lin, (unknown), Yan Zhao, Hailiang Li	7
20	Preliminary study of applying introvoxel incoherent motion sequence in cervical cancer 2013 ·Zhonghua fangshexian yixue zazhi ·(unknown), Jinrong Qu, Hailiang Li, Hongkai Zhang, Jianwei Zhang	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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