Jieke Liu

875 total citations
35 papers, 580 citations indexed

About

Jieke Liu is a scholar working on Radiology, Nuclear Medicine and Imaging, Pulmonary and Respiratory Medicine and Cognitive Neuroscience. According to data from OpenAlex, Jieke Liu has authored 35 papers receiving a total of 580 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 10 papers in Cognitive Neuroscience. Recurrent topics in Jieke Liu's work include Radiomics and Machine Learning in Medical Imaging (15 papers), Lung Cancer Diagnosis and Treatment (12 papers) and Medical Imaging Techniques and Applications (10 papers). Jieke Liu is often cited by papers focused on Radiomics and Machine Learning in Medical Imaging (15 papers), Lung Cancer Diagnosis and Treatment (12 papers) and Medical Imaging Techniques and Applications (10 papers). Jieke Liu collaborates with scholars based in China, United States and Israel. Jieke Liu's co-authors include Su Lui, Wenjing Zhang, Qiyong Gong, Yuan Xiao, Yao Li, John A. Sweeney, Peng Zhou, Chandan Shah, Fei Li and Siyi Li and has published in prestigious journals such as American Journal of Psychiatry, Brain Research and Neuropsychopharmacology.

In The Last Decade

Jieke Liu

32 papers receiving 576 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Jieke Liu China 14 302 298 145 76 61 35 580
Lianping Zhao China 15 410 1.4× 277 0.9× 288 2.0× 51 0.7× 46 0.8× 41 679
Issei Ueda Japan 16 201 0.7× 311 1.0× 53 0.4× 38 0.5× 108 1.8× 30 671
Nivedita Agarwal Italy 13 279 0.9× 148 0.5× 133 0.9× 61 0.8× 11 0.2× 45 677
Giada Zoccatelli Italy 14 292 1.0× 250 0.8× 266 1.8× 20 0.3× 26 0.4× 26 723
Liuxian Wang China 11 256 0.8× 196 0.7× 87 0.6× 32 0.4× 15 0.2× 16 402
Luigi Arena United States 8 284 0.9× 229 0.8× 255 1.8× 24 0.3× 28 0.5× 12 573
Yuchuan Fu China 11 156 0.5× 131 0.4× 55 0.4× 48 0.6× 15 0.2× 40 420
Ricky R. Savjani United States 11 146 0.5× 126 0.4× 52 0.4× 47 0.6× 20 0.3× 39 478
G. Katherine S. Lymer United Kingdom 12 496 1.6× 544 1.8× 354 2.4× 31 0.4× 37 0.6× 14 981
Saroja Bangaru United States 7 615 2.0× 349 1.2× 113 0.8× 29 0.4× 20 0.3× 18 980

Countries citing papers authored by Jieke Liu

Since Specialization
Citations

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

Fields of papers citing papers by Jieke Liu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jieke Liu

This figure shows the co-authorship network connecting the top 25 collaborators of Jieke Liu. A scholar is included among the top collaborators of Jieke Liu 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 Jieke Liu. Jieke Liu 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
1.
Liu, Jieke, Jianjun Tang, Wenting Xu, et al.. (2025). Cardiovascular morbidity and mortality after radiotherapy for breast cancer: a systematic review and meta-analysis. Heart. 112(1). 6–12.
5.
Luo, Liping, Yubo Tan, Kezhen Li, et al.. (2023). The potential of high-order features of routine blood test in predicting the prognosis of non-small cell lung cancer. BMC Cancer. 23(1). 496–496. 7 indexed citations
6.
He, Changjiu, et al.. (2022). Quantitative parameters of enhanced dual-energy computed tomography for differentiating lung cancers from benign lesions in solid pulmonary nodules. Frontiers in Oncology. 12. 1027985–1027985. 8 indexed citations
8.
Xu, Hao, Jieke Liu, Zhe Chen, et al.. (2022). Intratumoral and peritumoral radiomics based on dynamic contrast-enhanced MRI for preoperative prediction of intraductal component in invasive breast cancer. European Radiology. 32(7). 4845–4856. 21 indexed citations
9.
Luo, Hongbing, Jieke Liu, Xue‐Ming Li, et al.. (2022). Prognostic value of non-contrast myocardial T1 mapping in cardiovascular diseases: a systematic review and meta-analysis. Heart Failure Reviews. 27(5). 1899–1909. 8 indexed citations
10.
11.
Li, Yong, Jieke Liu, Xi Yang, et al.. (2022). Prediction of invasive adenocarcinomas manifesting as pure ground-glass nodules based on radiomic signature of low-dose CT in lung cancer screening. British Journal of Radiology. 95(1133). 20211048–20211048. 10 indexed citations
12.
Liu, Jieke, Yong Li, Xi Yang, et al.. (2021). Regional Spontaneous Neural Activity Alterations in Type 2 Diabetes Mellitus: A Meta-Analysis of Resting-State Functional MRI Studies. Frontiers in Aging Neuroscience. 13. 678359–678359. 17 indexed citations
13.
Liu, Jieke, Hao Xu, Yong Li, et al.. (2021). Comparison of Radiomic Models Based on Low-Dose and Standard-Dose CT for Prediction of Adenocarcinomas and Benign Lesions in Solid Pulmonary Nodules. Frontiers in Oncology. 10. 634298–634298. 20 indexed citations
14.
Li, Siyi, Peilin Lv, Min He, et al.. (2020). Cerebral regional and network characteristics in asthma patients: a resting-state fMRI study. Frontiers of Medicine. 14(6). 792–801. 14 indexed citations
15.
Lv, Peilin, Fei Li, Wenjing Zhang, et al.. (2019). Association of peripheral cytokine levels with cerebral structural abnormalities in schizophrenia. Brain Research. 1724. 146463–146463. 35 indexed citations
16.
Gui, Fu, Wenjing Zhang, Jing Dai, et al.. (2019). Increased Peripheral Interleukin 10 Relate to White Matter Integrity in Schizophrenia. Frontiers in Neuroscience. 13. 52–52. 28 indexed citations
17.
Shah, Chandan, Jia Liu, Peilin Lv, et al.. (2018). Age Related Changes in Topological Properties of Brain Functional Network and Structural Connectivity. Frontiers in Neuroscience. 12. 318–318. 19 indexed citations
18.
Zhang, Wenjing, Siyi Li, Xiuli Wang, et al.. (2018). Abnormal dynamic functional connectivity between speech and auditory areas in schizophrenia patients with auditory hallucinations. NeuroImage Clinical. 19. 918–924. 46 indexed citations
19.
Xiao, Yuan, Zhihan Yan, Youjin Zhao, et al.. (2017). Support vector machine-based classification of first episode drug-naïve schizophrenia patients and healthy controls using structural MRI. Schizophrenia Research. 214. 11–17. 53 indexed citations
20.
Liu, Jieke, Yao Li, Wenjing Zhang, et al.. (2017). Gray matter abnormalities in pediatric autism spectrum disorder: a meta-analysis with signed differential mapping. European Child & Adolescent Psychiatry. 26(8). 933–945. 62 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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