Yinhui Deng

723 total citations
19 papers, 457 citations indexed

About

Yinhui Deng is a scholar working on Radiology, Nuclear Medicine and Imaging, Pediatrics, Perinatology and Child Health and Biomedical Engineering. According to data from OpenAlex, Yinhui Deng has authored 19 papers receiving a total of 457 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Radiology, Nuclear Medicine and Imaging, 7 papers in Pediatrics, Perinatology and Child Health and 5 papers in Biomedical Engineering. Recurrent topics in Yinhui Deng's work include Fetal and Pediatric Neurological Disorders (7 papers), Radiomics and Machine Learning in Medical Imaging (4 papers) and Prenatal Screening and Diagnostics (4 papers). Yinhui Deng is often cited by papers focused on Fetal and Pediatric Neurological Disorders (7 papers), Radiomics and Machine Learning in Medical Imaging (4 papers) and Prenatal Screening and Diagnostics (4 papers). Yinhui Deng collaborates with scholars based in China, United States and Portugal. Yinhui Deng's co-authors include Yuanyuan Wang, Jinhua Yu, Yuzhong Shen, Ping Chen, Jin Zhou, Xiaohong Jia, Tongtong Liu, Cai Chang, Jiawei Li and Shichong Zhou and has published in prestigious journals such as Nature Communications, Advanced Science and Gastrointestinal Endoscopy.

In The Last Decade

Yinhui Deng

19 papers receiving 437 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Yinhui Deng China 10 174 126 75 67 61 19 457
Jianqiao Zhou China 12 356 2.0× 257 2.0× 100 1.3× 6 0.1× 42 0.7× 39 594
Fatma Tokat Türkiye 12 89 0.5× 46 0.4× 8 0.1× 36 0.5× 59 1.0× 45 378
T. Y. Alvin Liu United States 13 369 2.1× 26 0.2× 38 0.5× 13 0.2× 38 0.6× 57 598
M. Raquel Oliva United States 9 200 1.1× 14 0.1× 58 0.8× 49 0.7× 165 2.7× 13 536
Ana Wilson United Kingdom 13 104 0.6× 35 0.3× 31 0.4× 14 0.2× 34 0.6× 43 716
Rasha Kamal Egypt 14 216 1.2× 14 0.1× 43 0.6× 10 0.1× 73 1.2× 40 497
Nosheen Fatima Pakistan 9 95 0.5× 32 0.3× 22 0.3× 6 0.1× 23 0.4× 61 270
Dehong Luo China 14 354 2.0× 46 0.4× 136 1.8× 3 0.0× 68 1.1× 41 550
Kwangwoo Park South Korea 9 162 0.9× 55 0.4× 64 0.9× 12 0.2× 21 0.3× 37 437

Countries citing papers authored by Yinhui Deng

Since Specialization
Citations

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

Fields of papers citing papers by Yinhui Deng

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yinhui Deng

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

All Works

19 of 19 papers shown
1.
Cai, Ming‐Yan, Yinhui Deng, Pingting Gao, et al.. (2023). Automatically optimized radiomics modeling system for small gastric submucosal tumor (<2 cm) discrimination based on EUS images. Gastrointestinal Endoscopy. 99(4). 537–547.e4. 6 indexed citations
2.
Yue, Qi, Botao Zhao, Yinhui Deng, et al.. (2022). Intelligent SERS Navigation System Guiding Brain Tumor Surgery by Intraoperatively Delineating the Metabolic Acidosis. Advanced Science. 9(7). e2104935–e2104935. 61 indexed citations
3.
Deng, Yinhui, et al.. (2022). A deep learning model designed for Raman spectroscopy with a novel hyperparameter optimization method. Spectrochimica Acta Part A Molecular and Biomolecular Spectroscopy. 280. 121560–121560. 9 indexed citations
4.
Deng, Yinhui, et al.. (2021). Automatic Detection of Gastric Wall Structure Based on Oral Contrast-Enhanced Ultrasound and Its Application on Tumor Screening. Frontiers in Oncology. 11. 627556–627556. 4 indexed citations
5.
Yu, Jinhua, Yinhui Deng, Tongtong Liu, et al.. (2020). Lymph node metastasis prediction of papillary thyroid carcinoma based on transfer learning radiomics. Nature Communications. 11(1). 4807–4807. 200 indexed citations
6.
Chen, Ping, Yunqi Chen, Yinhui Deng, et al.. (2020). A preliminary study to quantitatively evaluate the development of maturation degree for fetal lung based on transfer learning deep model from ultrasound images. International Journal of Computer Assisted Radiology and Surgery. 15(8). 1407–1415. 13 indexed citations
7.
Deng, Yinhui, et al.. (2015). Ultrasonic fatty liver imaging. 21. 2591–2595. 1 indexed citations
8.
Chen, Ping, et al.. (2015). A hierarchical model for automated standard sagittal-view detection from 3D ultrasound data in 11–14 weeks. Biomedical Signal Processing and Control. 19. 96–101. 2 indexed citations
9.
Deng, Yinhui, et al.. (2014). Evaluation of fatty proportion in fatty liver using least squares method with constraints. Bio-Medical Materials and Engineering. 24(6). 2811–2820. 2 indexed citations
10.
Lin, Qizhong, et al.. (2013). Ultrasound lesion segmentation using clinical knowledge-driven constrained level set. PubMed. 83. 6067–6070. 4 indexed citations
11.
Deng, Yinhui, Yuanyuan Wang, Ping Chen, & Jinhua Yu. (2012). A hierarchical model for automatic nuchal translucency detection from ultrasound images. Computers in Biology and Medicine. 42(6). 706–713. 23 indexed citations
12.
Deng, Yinhui, Yuanyuan Wang, Yuzhong Shen, & Ping Chen. (2011). Active cardiac model and its application on structure detection from early fetal ultrasound sequences. Computerized Medical Imaging and Graphics. 36(3). 239–247. 13 indexed citations
13.
Deng, Yinhui, Yuanyuan Wang, & Yuzhong Shen. (2011). Speckle reduction of ultrasound images based on Rayleigh-trimmed anisotropic diffusion filter. Pattern Recognition Letters. 32(13). 1516–1525. 25 indexed citations
14.
Deng, Yinhui, Yuanyuan Wang, & Yuzhong Shen. (2010). An automated diagnostic system of polycystic ovary syndrome based on object growing. Artificial Intelligence in Medicine. 51(3). 199–209. 31 indexed citations
15.
Deng, Yinhui, Yuanyuan Wang, & Ping Chen. (2010). Automated detection of fetal nuchal translucency based on hierarchical structural model. 78–84. 13 indexed citations
16.
Deng, Yinhui, Yuanyuan Wang, & Ping Chen. (2010). Automated detection of fetal cardiac structure from first-trimester ultrasound sequences. 2010 3rd International Conference on Biomedical Engineering and Informatics. 127–131. 17 indexed citations
17.
Li, Xiaomin, Yuanyuan Wang, Yinhui Deng, & Jinhua Yu. (2009). Cell Segmentation Using Ellipse Curve Segmentation and Classification. 2. 1187–1190. 2 indexed citations
18.
Deng, Yinhui, Yuanyuan Wang, & Ping Chen. (2008). Automated detection of Polycystic Ovary Syndrome from ultrasound images. PubMed. 2008. 4772–4775. 25 indexed citations
19.
Deng, Yinhui, Yuanyuan Wang, & Ping Chen. (2008). Estimating Fetal Nuchal Translucency Parameters from its Ultrasound Image. 25. 2643–2646. 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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