Jiangang Liu

987 total citations
50 papers, 645 citations indexed

About

Jiangang Liu is a scholar working on Radiology, Nuclear Medicine and Imaging, Cognitive Neuroscience and Pulmonary and Respiratory Medicine. According to data from OpenAlex, Jiangang Liu has authored 50 papers receiving a total of 645 indexed citations (citations by other indexed papers that have themselves been cited), including 21 papers in Radiology, Nuclear Medicine and Imaging, 15 papers in Cognitive Neuroscience and 12 papers in Pulmonary and Respiratory Medicine. Recurrent topics in Jiangang Liu's work include Radiomics and Machine Learning in Medical Imaging (15 papers), Prostate Cancer Diagnosis and Treatment (9 papers) and Functional Brain Connectivity Studies (8 papers). Jiangang Liu is often cited by papers focused on Radiomics and Machine Learning in Medical Imaging (15 papers), Prostate Cancer Diagnosis and Treatment (9 papers) and Functional Brain Connectivity Studies (8 papers). Jiangang Liu collaborates with scholars based in China, Canada and United States. Jiangang Liu's co-authors include Jie Tian, Kang Lee, Zhenyu Liu, Genyue Fu, Xiao Pan Ding, Kai Sun, Jun Li, Liyang Sai, Si Wu and Feng Lu and has published in prestigious journals such as Nature Communications, SHILAP Revista de lepidopterología and NeuroImage.

In The Last Decade

Jiangang Liu

47 papers receiving 635 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Jiangang Liu China 14 271 214 113 80 79 50 645
María de la Iglesia-Vayá Spain 13 393 1.5× 173 0.8× 93 0.8× 53 0.7× 24 0.3× 47 867
Zhizheng Zhuo China 18 392 1.4× 186 0.9× 67 0.6× 69 0.9× 59 0.7× 73 842
Huishu Yuan China 10 191 0.7× 157 0.7× 80 0.7× 57 0.7× 41 0.5× 43 442
Chia‐Feng Lu Taiwan 18 554 2.0× 212 1.0× 175 1.5× 206 2.6× 59 0.7× 71 1.1k
Peter Savadjiev United States 18 989 3.6× 308 1.4× 143 1.3× 126 1.6× 51 0.6× 50 1.3k
Osamu Iizuka Japan 15 398 1.5× 192 0.9× 107 0.9× 27 0.3× 164 2.1× 40 1.1k
Bartolomé Bejarano Spain 13 253 0.9× 193 0.9× 51 0.5× 155 1.9× 33 0.4× 30 1.3k
Biao Huang China 21 514 1.9× 269 1.3× 124 1.1× 32 0.4× 20 0.3× 82 1.2k
Emi Z. Murano United States 17 178 0.7× 69 0.3× 133 1.2× 49 0.6× 20 0.3× 57 827
Owen Thomas United Kingdom 13 148 0.5× 371 1.7× 51 0.5× 75 0.9× 17 0.2× 27 960

Countries citing papers authored by Jiangang Liu

Since Specialization
Citations

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

Fields of papers citing papers by Jiangang Liu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jiangang Liu

This figure shows the co-authorship network connecting the top 25 collaborators of Jiangang Liu. A scholar is included among the top collaborators of Jiangang 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 Jiangang Liu. Jiangang 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, Zhenyu, et al.. (2025). DIFLF: A domain-invariant features learning framework for single-source domain generalization in mammogram classification. Computer Methods and Programs in Biomedicine. 261. 108592–108592. 1 indexed citations
2.
Li, Bao, Zhenyu Liu, Song Zhang, et al.. (2025). NuHTC: A hybrid task cascade for nuclei instance segmentation and classification. Medical Image Analysis. 103. 103595–103595. 2 indexed citations
3.
4.
Pan, Jianji, Yuangang Wu, Zhenchao Tang, et al.. (2024). Automatic knee osteoarthritis severity grading based on X-ray images using a hierarchical classification method. Arthritis Research & Therapy. 26(1). 203–203. 4 indexed citations
5.
Zhang, Yuanqing, et al.. (2024). Nucleophosmin 1 overexpression enhances neuroprotection by attenuating cellular stress in traumatic brain injury. Experimental Neurology. 383. 115019–115019. 1 indexed citations
6.
Ma, Chenbin, et al.. (2024). RETNet: Resolution enhancement Transformer network for magnetic particle imaging based on X-space. Computers in Biology and Medicine. 181. 109043–109043. 2 indexed citations
7.
Bao, Jie, Ximing Wang, Junkang Shen, et al.. (2023). Detecting Adverse Pathology of Prostate Cancer With a Deep Learning Approach Based on a 3D Swin‐Transformer Model and Biparametric MRI: A Multicenter Retrospective Study. Journal of Magnetic Resonance Imaging. 59(6). 2101–2112. 5 indexed citations
8.
Zhao, Xun, Ye Yan, Litao Zhao, et al.. (2023). The Application of CT Radiomics in the Diagnosis of Vein Wall Invasion in Patients With Renal Cell Carcinoma Combined With Tumor Thrombus. The Oncologist. 29(2). 151–158. 6 indexed citations
9.
Xiao, Naiqi G., et al.. (2023). Face recognition ability can be predicted by microstructural properties of white matter: a study of diffusion tensor imaging (DTI). Cerebral Cortex. 33(13). 8442–8455. 1 indexed citations
10.
Bao, Jie, Pengfei Jin, Yanting Ji, et al.. (2022). Predicting clinically significant prostate cancer with a deep learning approach: a multicentre retrospective study. European Journal of Nuclear Medicine and Molecular Imaging. 50(3). 727–741. 32 indexed citations
11.
Sun, Kai, Zhenyu Liu, Guanmao Chen, et al.. (2021). A two-center radiomic analysis for differentiating major depressive disorder using multi-modality MRI data under different parcellation methods. Journal of Affective Disorders. 300. 1–9. 16 indexed citations
12.
Yan, Ye, Lizhi Shao, Zhenyu Liu, et al.. (2021). Deep Learning with Quantitative Features of Magnetic Resonance Images to Predict Biochemical Recurrence of Radical Prostatectomy: A Multi-Center Study. Cancers. 13(12). 3098–3098. 26 indexed citations
13.
Su, Qiang, Zhenyu Liu, Chi Chen, et al.. (2021). Gene signatures predict biochemical recurrence‐free survival in primary prostate cancer patients after radical therapy. Cancer Medicine. 10(18). 6492–6502. 5 indexed citations
14.
Wang, Lele, Binqiang Wang, Peipei Zhao, et al.. (2020). Malware Detection Algorithm Based on the Attention Mechanism and ResNet. Chinese Journal of Electronics. 29(6). 1054–1060. 5 indexed citations
15.
Liu, Zhenyu, Jiangang Liu, Huijuan Yuan, et al.. (2019). Identification of Cognitive Dysfunction in Patients with T2DM Using Whole Brain Functional Connectivity. Genomics Proteomics & Bioinformatics. 17(4). 441–452. 14 indexed citations
16.
Lv, Ruijuan, Jianji Pan, Qun Wang, et al.. (2019). Semi-quantitative FDG-PET Analysis Increases the Sensitivity Compared With Visual Analysis in the Diagnosis of Autoimmune Encephalitis. Frontiers in Neurology. 10. 576–576. 13 indexed citations
17.
Wang, Lele, Binqiang Wang, Jiangang Liu, Qiguang Miao, & Jianhui Zhang. (2019). Cuckoo-based Malware Dynamic Analysis. International Journal of Performability Engineering. 10 indexed citations
18.
Liu, Jiangang, et al.. (2018). The Fusiform Face Area Plays a Greater Role in Holistic Processing for Own-Race Faces Than Other-Race Faces. Frontiers in Human Neuroscience. 12. 220–220. 15 indexed citations
19.
Ding, Xiao Pan, Liyang Sai, Genyue Fu, Jiangang Liu, & Kang Lee. (2013). Neural correlates of second-order verbal deception: A functional near-infrared spectroscopy (fNIRS) study. NeuroImage. 87. 505–514. 55 indexed citations
20.
Zhang, Hui, Xiaopeng Zhang, Ying‐Shi Sun, et al.. (2010). A weighted-RV method to detect fine-scale functional connectivity during resting state. NeuroImage. 54(4). 2885–2898. 6 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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