Sijia Cui

883 total citations
18 papers, 590 citations indexed

About

Sijia Cui is a scholar working on Radiology, Nuclear Medicine and Imaging, Oncology and Molecular Biology. According to data from OpenAlex, Sijia Cui has authored 18 papers receiving a total of 590 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Radiology, Nuclear Medicine and Imaging, 4 papers in Oncology and 3 papers in Molecular Biology. Recurrent topics in Sijia Cui's work include Radiomics and Machine Learning in Medical Imaging (8 papers), Pancreatic and Hepatic Oncology Research (3 papers) and Cancer Genomics and Diagnostics (3 papers). Sijia Cui is often cited by papers focused on Radiomics and Machine Learning in Medical Imaging (8 papers), Pancreatic and Hepatic Oncology Research (3 papers) and Cancer Genomics and Diagnostics (3 papers). Sijia Cui collaborates with scholars based in China, United States and Australia. Sijia Cui's co-authors include Shan Chang, Kai Zhang, Lina Zhang, Jing Wang, Xiangyang Gong, Zhenyu Shu, Yuyun Xu, Peipei Pang, Jing Wang and Kai Zhang and has published in prestigious journals such as Nucleic Acids Research, Nature Communications and Scientific Reports.

In The Last Decade

Sijia Cui

18 papers receiving 582 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Sijia Cui China 12 176 170 115 98 86 18 590
Petter Ranefall Sweden 15 275 1.6× 74 0.4× 52 0.5× 51 0.5× 92 1.1× 32 665
Maria D’Souza India 18 228 1.3× 368 2.2× 99 0.9× 106 1.1× 89 1.0× 66 991
Kees H. de Jong Netherlands 9 263 1.5× 45 0.3× 173 1.5× 72 0.7× 56 0.7× 14 647
Ángel Pérez‐Núñez Spain 18 211 1.2× 234 1.4× 34 0.3× 79 0.8× 99 1.2× 63 954
Kariem Sharaf Germany 12 107 0.6× 129 0.8× 22 0.2× 70 0.7× 71 0.8× 27 545
Marian Blazes United States 13 634 3.6× 304 1.8× 140 1.2× 91 0.9× 225 2.6× 38 1.5k
Carlos A. Castro United States 17 409 2.3× 63 0.4× 94 0.8× 94 1.0× 25 0.3× 37 862
Martin Baiker Netherlands 13 194 1.1× 150 0.9× 146 1.3× 64 0.7× 19 0.2× 27 603
Taobo Hu China 12 186 1.1× 37 0.2× 85 0.7× 48 0.5× 72 0.8× 48 422
Yan Gong China 10 306 1.7× 76 0.4× 100 0.9× 27 0.3× 69 0.8× 18 497

Countries citing papers authored by Sijia Cui

Since Specialization
Citations

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

Fields of papers citing papers by Sijia Cui

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Sijia Cui

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

All Works

18 of 18 papers shown
1.
2.
Cui, Sijia, et al.. (2023). Byzantine-Resilient Federated Learning at Edge. IEEE Transactions on Computers. 72(9). 2600–2614. 17 indexed citations
3.
Cui, Sijia, Nicholas McGranahan, Jing Gao, et al.. (2023). Tracking the evolution of esophageal squamous cell carcinoma under dynamic immune selection by multi-omics sequencing. Nature Communications. 14(1). 892–892. 7 indexed citations
4.
Lee, Sang‐Hoon, et al.. (2022). Robotics Competition Preparation and STEM Learning. FHSU Scholars Repository (Fort Hays State University). 1 indexed citations
5.
6.
Shu, Zhenyu, Peipei Pang, Xiao Wu, et al.. (2020). An Integrative Nomogram for Identifying Early-Stage Parkinson's Disease Using Non-motor Symptoms and White Matter-Based Radiomics Biomarkers From Whole-Brain MRI. Frontiers in Aging Neuroscience. 12. 548616–548616. 20 indexed citations
7.
Shu, Zhenyu, Sijia Cui, Yuyun Xu, et al.. (2020). Predicting Chronic Myocardial Ischemia Using CCTA-Based Radiomics Machine Learning Nomogram. Journal of Nuclear Cardiology. 29(1). 262–274. 26 indexed citations
8.
Cui, Sijia, et al.. (2020). Role of imaging biomarkers for prognostic prediction in patients with pancreatic ductal adenocarcinoma. Clinical Radiology. 75(6). 478.e1–478.e11. 4 indexed citations
9.
Cui, Sijia, et al.. (2020). Development and clinical application of deep learning model for lung nodules screening on CT images. Scientific Reports. 10(1). 13657–13657. 72 indexed citations
10.
Shu, Zhenyu, Sijia Cui, Xiao Wu, et al.. (2020). Predicting the progression of Parkinson's disease using conventional MRI and machine learning: An application of radiomic biomarkers in whole‐brain white matter. Magnetic Resonance in Medicine. 85(3). 1611–1624. 41 indexed citations
11.
Ming, Shuai, et al.. (2019). Consistency of radiologists in identifying pulmonary nodules based on low-dose computed tomography. Journal of Thoracic Disease. 11(7). 2973–2980. 2 indexed citations
12.
Guo, Haixia, et al.. (2019). Correlation of vitamin D receptor gene (ApaI) polymorphism with periodontitis: A meta‐analysis of Chinese population. Food Science & Nutrition. 7(11). 3607–3612. 7 indexed citations
13.
Shu, Zhenyu, Yuyun Xu, Qin Ye, et al.. (2019). Radiomics nomogram based on MRI for predicting white matter hyperintensity progression in elderly adults. Journal of Magnetic Resonance Imaging. 51(2). 535–546. 19 indexed citations
14.
Duan, Meng, Junfeng Hao, Sijia Cui, et al.. (2018). Diverse modes of clonal evolution in HBV-related hepatocellular carcinoma revealed by single-cell genome sequencing. Cell Research. 28(3). 359–373. 97 indexed citations
15.
Cui, Sijia, S. Wang, Zhigang Zhang, et al.. (2014). Effects of seasonal grazing on soil respiration in alpine meadow on the Tibetan plateau. Soil Use and Management. 30(3). 435–443. 33 indexed citations
16.
Zhang, Kai, Shan Chang, Sijia Cui, et al.. (2011). ICSNPathway: identify candidate causal SNPs and pathways from genome-wide association study by one analytical framework. Nucleic Acids Research. 39(suppl). W437–W443. 63 indexed citations
17.
Zhang, Kai, Sijia Cui, Shan Chang, Lina Zhang, & Jing Wang. (2010). i-GSEA4GWAS: a web server for identification of pathways/gene sets associated with traits by applying an improved gene set enrichment analysis to genome-wide association study. Nucleic Acids Research. 38(Web Server). W90–W95. 129 indexed citations
18.
Zhu, Xinxing, Suhua Chang, Sijia Cui, et al.. (2009). MyBASE: a database for genome polymorphism and gene function studies of Mycobacterium. BMC Microbiology. 9(1). 40–40. 11 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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