Chencui Huang

1.8k total citations
107 papers, 1.1k citations indexed

About

Chencui Huang is a scholar working on Radiology, Nuclear Medicine and Imaging, Pulmonary and Respiratory Medicine and Surgery. According to data from OpenAlex, Chencui Huang has authored 107 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 77 papers in Radiology, Nuclear Medicine and Imaging, 44 papers in Pulmonary and Respiratory Medicine and 24 papers in Surgery. Recurrent topics in Chencui Huang's work include Radiomics and Machine Learning in Medical Imaging (70 papers), Advanced X-ray and CT Imaging (19 papers) and MRI in cancer diagnosis (12 papers). Chencui Huang is often cited by papers focused on Radiomics and Machine Learning in Medical Imaging (70 papers), Advanced X-ray and CT Imaging (19 papers) and MRI in cancer diagnosis (12 papers). Chencui Huang collaborates with scholars based in China, United States and Australia. Chencui Huang's co-authors include Jingxu Xu, Mou Li, Feng Hou, Yan Mo, Hexiang Wang, Bin Song, Hong Ji, Dapeng Hao, Yongchang Zhang and Minhong Wang and has published in prestigious journals such as PLoS ONE, Scientific Reports and Aquaculture.

In The Last Decade

Chencui Huang

99 papers receiving 1.1k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Chencui Huang China 19 690 329 212 183 177 107 1.1k
Yu Kuang China 19 688 1.0× 218 0.7× 166 0.8× 304 1.7× 128 0.7× 77 1.2k
Claudia J. Kasales United States 16 461 0.7× 365 1.1× 196 0.9× 167 0.9× 276 1.6× 59 1.3k
Heidi Umphrey United States 17 450 0.7× 321 1.0× 76 0.4× 283 1.5× 191 1.1× 39 1.1k
Wenli Cai United States 21 461 0.7× 330 1.0× 293 1.4× 192 1.0× 208 1.2× 80 1.3k
Mohammadhadi Bagheri United States 19 535 0.8× 313 1.0× 404 1.9× 299 1.6× 181 1.0× 66 1.5k
Xiaoyan Xie China 16 337 0.5× 230 0.7× 170 0.8× 147 0.8× 301 1.7× 40 1.0k
Peng Gao China 18 209 0.3× 600 1.8× 125 0.6× 48 0.3× 207 1.2× 107 1.2k
Yao Zhao China 24 615 0.9× 189 0.6× 176 0.8× 110 0.6× 390 2.2× 96 2.0k
Carmen K. M. Chan Hong Kong 23 870 1.3× 87 0.3× 94 0.4× 80 0.4× 105 0.6× 65 1.6k

Countries citing papers authored by Chencui Huang

Since Specialization
Citations

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

Fields of papers citing papers by Chencui Huang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Chencui Huang

This figure shows the co-authorship network connecting the top 25 collaborators of Chencui Huang. A scholar is included among the top collaborators of Chencui Huang 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 Chencui Huang. Chencui Huang 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, Ying, et al.. (2025). A deep learning model for carotid plaques detection based on CTA images: a two stepwise early-stage clinical validation study. Frontiers in Neurology. 15. 1480792–1480792. 4 indexed citations
2.
Huang, Chencui, Zhen Zhou, Wenyi Zhao, et al.. (2025). Prediction of NIHSS Scores and Acute Ischemic Stroke Severity Using a Cross-attention Vision Transformer Model with Multimodal MRI. Academic Radiology. 32(9). 5453–5467.
3.
4.
Wang, Jingru, Xiaohong Wang, Chencui Huang, et al.. (2024). Multiparametric MRI-Based Interpretable Radiomics Machine Learning Model Differentiates Medulloblastoma and Ependymoma in Children: A Two-Center Study. Academic Radiology. 31(8). 3384–3396. 9 indexed citations
5.
Chen, Kaige, Linxiang Wang, Feng‐Yun Cui, et al.. (2024). CT-based radiomics nomogram to predict proliferative hepatocellular carcinoma and explore the tumor microenvironment. Journal of Translational Medicine. 22(1). 683–683. 11 indexed citations
6.
Zhang, Ping, Jingxu Xu, Qian Li, et al.. (2024). Prediction of Bone Mineral Density based on Computer Tomography Images Using Deep Learning Model. Gerontology. 71(1). 1–10. 1 indexed citations
7.
Liu, Feng, et al.. (2023). Automated detection and classification of acute vertebral body fractures using a convolutional neural network on computed tomography. Frontiers in Endocrinology. 14. 1132725–1132725. 19 indexed citations
8.
Wang, Xiaolan, Chencui Huang, Ning Li, et al.. (2023). Development of a Clinicopathological-Radiomics Model for Predicting Progression and Recurrence in Meningioma Patients. Academic Radiology. 31(5). 2061–2073. 6 indexed citations
9.
Yu, Boyang, Na Li, Rui Sun, et al.. (2023). CT-based deep learning radiomics nomogram for the prediction of pathological grade in bladder cancer: a multicenter study. Cancer Imaging. 23(1). 89–89. 13 indexed citations
10.
Huang, Chencui, et al.. (2023). Differentiation of neurogenic tumours and pleomorphic adenomas in the parapharyngeal space based on texture analysis of T2WI. BMC Oral Health. 23(1). 548–548. 2 indexed citations
11.
Li, Hongxia, Jia Liu, Changsheng Zhou, et al.. (2022). Identification of high-risk intracranial plaques with 3D high-resolution magnetic resonance imaging-based radiomics and machine learning. Journal of Neurology. 269(12). 6494–6503. 17 indexed citations
12.
Huang, Mei, Qinmei Xu, Mu Zhou, et al.. (2022). Distinguishing multiple primary lung cancers from intrapulmonary metastasis using CT-based radiomics. European Journal of Radiology. 160. 110671–110671. 5 indexed citations
13.
Yang, Ling, Zhengyan Li, Liang Xu, et al.. (2022). Radiomic Machine Learning and External Validation Based on 3.0 T mpMRI for Prediction of Intraductal Carcinoma of Prostate With Different Proportion. Frontiers in Oncology. 12. 934291–934291. 6 indexed citations
14.
Hao, Dapeng, Jie Li, Jihua Liu, et al.. (2021). Magnetic Resonance Imaging‐Based Radiomics Nomogram for Prediction of the Histopathological Grade of Soft Tissue Sarcomas: A Two‐Center Study. Journal of Magnetic Resonance Imaging. 53(6). 1683–1696. 42 indexed citations
15.
Liu, Shunli, Chencui Huang, Jingxu Xu, et al.. (2021). Deep learning radiomic nomogram to predict recurrence in soft tissue sarcoma: a multi-institutional study. European Radiology. 32(2). 793–805. 39 indexed citations
16.
Lu, Shan, Juhong Yang, Wenlong Ding, et al.. (2021). Different Appearance of Chest CT Images of T2DM and NDM Patients with COVID-19 Pneumonia Based on an Artificial Intelligent Quantitative Method. International Journal of Endocrinology. 2021. 1–6. 2 indexed citations
17.
Chen, Xinyi, et al.. (2021). A combined postoperative nomogram for survival prediction in clear cell renal carcinoma. Abdominal Radiology. 47(1). 297–309. 8 indexed citations
18.
Feng, Pinning, Shuhua Xie, Chencui Huang, et al.. (2021). An online alpha-thalassemia carrier discrimination model based on random forest and red blood cell parameters for low HbA2 cases. Clinica Chimica Acta. 525. 1–5. 13 indexed citations
19.
Li, Ning, Yan Mo, Chencui Huang, et al.. (2021). A Clinical Semantic and Radiomics Nomogram for Predicting Brain Invasion in WHO Grade II Meningioma Based on Tumor and Tumor-to-Brain Interface Features. Frontiers in Oncology. 11. 752158–752158. 36 indexed citations
20.
Han, Xu, et al.. (2020). Predicting myometrial invasion in endometrial cancer based on whole-uterine magnetic resonance radiomics. Journal of Cancer Research and Therapeutics. 16(7). 1648–1648. 21 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.

Explore authors with similar magnitude of impact

Breakdown of academic impact, for papers by Yu Kuang Breakdown of academic impact, for papers by Claudia J. Kasales Breakdown of academic impact, for papers by Heidi Umphrey Breakdown of academic impact, for papers by Wenli Cai Breakdown of academic impact, for papers by Mohammadhadi Bagheri Breakdown of academic impact, for papers by Xiaoyan Xie Breakdown of academic impact, for papers by Peng Gao Breakdown of academic impact, for papers by Yao Zhao Breakdown of academic impact, for papers by Carmen K. M. Chan
Rankless by CCL
2026