Jialiang Ren

2.2k total citations · 1 hit paper
113 papers, 1.5k citations indexed

About

Jialiang Ren is a scholar working on Radiology, Nuclear Medicine and Imaging, Pulmonary and Respiratory Medicine and Oncology. According to data from OpenAlex, Jialiang Ren has authored 113 papers receiving a total of 1.5k indexed citations (citations by other indexed papers that have themselves been cited), including 85 papers in Radiology, Nuclear Medicine and Imaging, 42 papers in Pulmonary and Respiratory Medicine and 18 papers in Oncology. Recurrent topics in Jialiang Ren's work include Radiomics and Machine Learning in Medical Imaging (77 papers), MRI in cancer diagnosis (25 papers) and Lung Cancer Diagnosis and Treatment (14 papers). Jialiang Ren is often cited by papers focused on Radiomics and Machine Learning in Medical Imaging (77 papers), MRI in cancer diagnosis (25 papers) and Lung Cancer Diagnosis and Treatment (14 papers). Jialiang Ren collaborates with scholars based in China, Spain and United States. Jialiang Ren's co-authors include Yanfen Cui, Xiaotang Yang, Dandan Li, Xiaosong Du, Xiaoli Song, Zhenhui Li, Junjie Zhang, Dan Zhao, Gaofeng Shi and Zhongqiang Shi and has published in prestigious journals such as SHILAP Revista de lepidopterología, Scientific Reports and American Journal of Roentgenology.

In The Last Decade

Jialiang Ren

104 papers receiving 1.5k 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.

A CT-based deep learning radiomics nomogram for predicting the response to neoadjuvant chemotherapy in patients with locally advanced gastric cancer: A multicenter cohort study

2022 108 citations Yanfen Cui, Jialiang Ren et al. profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Jialiang Ren China	22	1.2k	462	308	302	205	113	1.5k
Yajia Gu China	26	1.3k 1.2×	327 0.7×	393 1.3×	146 0.5×	276 1.3×	129	1.9k
Sylvain Reuzé France	12	1.7k 1.5×	565 1.2×	372 1.2×	436 1.4×	195 1.0×	18	2.0k
Zhenchao Tang China	15	1.3k 1.1×	352 0.8×	405 1.3×	212 0.7×	143 0.7×	31	1.5k
R. de Crevoisier France	23	734 0.6×	783 1.7×	293 1.0×	190 0.6×	626 3.1×	91	1.9k
Lidija Antunovic Italy	16	952 0.8×	454 1.0×	151 0.5×	234 0.8×	118 0.6×	46	1.2k
Andrea Delli Pizzi Italy	22	828 0.7×	425 0.9×	571 1.9×	128 0.4×	433 2.1×	78	1.5k
François Bidault France	22	523 0.5×	482 1.0×	588 1.9×	116 0.4×	522 2.5×	86	1.7k
Te‐Chun Hsieh Taiwan	20	628 0.5×	331 0.7×	253 0.8×	94 0.3×	229 1.1×	110	1.1k
Fanny Orlhac France	21	2.9k 2.5×	914 2.0×	499 1.6×	833 2.8×	254 1.2×	48	3.1k

Countries citing papers authored by Jialiang Ren

Since Specialization

Citations

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

Fields of papers citing papers by Jialiang Ren

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jialiang Ren

This figure shows the co-authorship network connecting the top 25 collaborators of Jialiang Ren. A scholar is included among the top collaborators of Jialiang 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 Jialiang Ren. Jialiang 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

Cao, Yuntai, et al.. (2025). MRI morphological features combined with apparent diffusion coefficient can predict brain invasion in meningioma. Computers in Biology and Medicine. 187. 109763–109763.

Hu, Wei, et al.. (2025). Preoperative diagnosis of meningioma sinus invasion based on MRI radiomics and deep learning: a multicenter study. Cancer Imaging. 25(1). 20–20. 2 indexed citations

Ren, Jialiang, et al.. (2024). MRI-based machine learning radiomics for prediction of HER2 expression status in breast invasive ductal carcinoma. European Journal of Radiology Open. 13. 100592–100592.

Li, Yang, Qi Wang, Yue Meng, et al.. (2024). Prediction of lymphovascular invasion in esophageal squamous cell carcinoma by computed tomography-based radiomics analysis: 2D or 3D ?. Cancer Imaging. 24(1). 141–141. 1 indexed citations

Zhao, Jintao, et al.. (2024). Radiomics analysis of multiparametric MRI for preoperative prediction of microsatellite instability status in endometrial cancer: a dual-center study. Frontiers in Oncology. 14. 1333020–1333020. 9 indexed citations

Yang, Bin, Jie Lu, Yefu Wang, et al.. (2023). Quantitative analysis of chest MRI images for benign malignant diagnosis of pulmonary solid nodules. Frontiers in Oncology. 13. 1212608–1212608. 2 indexed citations

Ren, Jialiang, et al.. (2023). Radiogenomics study to predict the nuclear grade of renal clear cell carcinoma. European Journal of Radiology Open. 10. 100476–100476. 6 indexed citations

Zhang, Guangwen, Ziliang Xu, Jianyong Zheng, et al.. (2023). Ultra-high b-Value DWI in predicting progression risk of locally advanced rectal cancer: a comparative study with routine DWI. Cancer Imaging. 23(1). 59–59. 4 indexed citations

Huang, Gang, Jialiang Ren, Ruifang Liu, et al.. (2023). Potential predictive value of CT radiomics features for treatment response in patients with COVID‐19. The Clinical Respiratory Journal. 17(5). 394–404. 2 indexed citations

10.

Ren, Jialiang, et al.. (2023). An MR-based radiomics nomogram including information from the peritumoral region to predict deep myometrial invasion in stage I endometrioid adenocarcinoma: a preliminary study. British Journal of Radiology. 96(1151). 20230026–20230026. 6 indexed citations

11.

Cao, Yuntai, Jing Zhang, Lele Huang, et al.. (2023). Construction of prediction model for KRAS mutation status of colorectal cancer based on CT radiomics. Japanese Journal of Radiology. 41(11). 1236–1246. 8 indexed citations

12.

Li, Yang, Yang Li, Qi Wang, et al.. (2023). Computed tomography radiomics identification of T1–2 and T3–4 stages of esophageal squamous cell carcinoma: two-dimensional or three-dimensional?. Abdominal Radiology. 49(1). 288–300. 5 indexed citations

13.

Ren, Jialiang, et al.. (2022). Improving Image Quality and Reducing Scan Time for Synthetic MRI of Breast by Using Deep Learning Reconstruction. BioMed Research International. 2022(1). 3125426–3125426. 5 indexed citations

14.

Zhang, Li, Min Tang, Jing Zhang, et al.. (2021). Predicting the Grade of Prostate Cancer Based on a Biparametric MRI Radiomics Signature. Contrast Media & Molecular Imaging. 2021. 1–10. 12 indexed citations

15.

Cao, Yuntai, Guojin Zhang, Haihua Bao, et al.. (2021). Development of a dual-energy spectral computed tomography-based nomogram for the preoperative discrimination of histological grade in colorectal adenocarcinoma patients. Journal of Gastrointestinal Oncology. 12(2). 544–555. 4 indexed citations

16.

Song, Xiaoli, et al.. (2021). Radiomics based on multisequence magnetic resonance imaging for the preoperative prediction of peritoneal metastasis in ovarian cancer. European Radiology. 31(11). 8438–8446. 32 indexed citations

17.

Cao, Yuntai, Guojin Zhang, Jing Zhang, et al.. (2021). Predicting Microsatellite Instability Status in Colorectal Cancer Based on Triphasic Enhanced Computed Tomography Radiomics Signatures: A Multicenter Study. Frontiers in Oncology. 11. 687771–687771. 28 indexed citations

18.

Wen, Didi, et al.. (2021). Predicting haemodynamic significance of coronary stenosis with radiomics-based pericoronary adipose tissue characteristics. Clinical Radiology. 77(2). e154–e161. 16 indexed citations

19.

He, Li, et al.. (2020). Radiomics Based on Lumbar Spine Magnetic Resonance Imaging to Detect Osteoporosis. Academic Radiology. 28(6). e165–e171. 47 indexed citations

20.

Cui, Yanfen, Jialiang Ren, Dandan Li, et al.. (2020). Prognostic value of multiparametric MRI-based radiomics model: Potential role for chemotherapeutic benefits in locally advanced rectal cancer. Radiotherapy and Oncology. 154. 161–169. 34 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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