Zhaomin Yao

594 total citations
27 papers, 322 citations indexed

About

Zhaomin Yao is a scholar working on Radiology, Nuclear Medicine and Imaging, Computer Vision and Pattern Recognition and Molecular Biology. According to data from OpenAlex, Zhaomin Yao has authored 27 papers receiving a total of 322 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Radiology, Nuclear Medicine and Imaging, 8 papers in Computer Vision and Pattern Recognition and 7 papers in Molecular Biology. Recurrent topics in Zhaomin Yao's work include Machine Learning in Bioinformatics (5 papers), Brain Tumor Detection and Classification (5 papers) and Retinal Imaging and Analysis (5 papers). Zhaomin Yao is often cited by papers focused on Machine Learning in Bioinformatics (5 papers), Brain Tumor Detection and Classification (5 papers) and Retinal Imaging and Analysis (5 papers). Zhaomin Yao collaborates with scholars based in China, Malaysia and United States. Zhaomin Yao's co-authors include Fengfeng Zhou, Yaonan Zhang, Ruixue Zhao, Zhiguo Wang, Wenwen Zhang, Hongyu Wang, Meiyu Duan, W. C. Yan, Wenxin Mao and Lan Huang and has published in prestigious journals such as NeuroImage, Expert Systems with Applications and IEEE Access.

In The Last Decade

Zhaomin Yao

21 papers receiving 306 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Zhaomin Yao China 9 174 93 74 67 45 27 322
Hanpei Miao China 9 164 0.9× 124 1.3× 42 0.6× 37 0.6× 29 0.6× 21 253
Hongyu Kong China 8 249 1.4× 170 1.8× 105 1.4× 52 0.8× 10 0.2× 18 462
Ebrahim Mohammed Senan Saudi Arabia 12 139 0.8× 21 0.2× 78 1.1× 151 2.3× 19 0.4× 19 356
Fangyao Tang Hong Kong 13 474 2.7× 418 4.5× 49 0.7× 35 0.5× 25 0.6× 21 590
Ivan Coronado United States 8 145 0.8× 18 0.2× 84 1.1× 56 0.8× 58 1.3× 12 330
Kejuan Yue China 7 241 1.4× 120 1.3× 203 2.7× 87 1.3× 38 0.8× 17 400
Hagar Khalid United Kingdom 12 528 3.0× 518 5.6× 41 0.6× 47 0.7× 48 1.1× 37 688
Sophie Lemmens Belgium 9 227 1.3× 213 2.3× 38 0.5× 13 0.2× 13 0.3× 24 316
Bojie Hu China 14 252 1.4× 295 3.2× 69 0.9× 162 2.4× 24 0.5× 44 619
Giordana Florimbi Italy 9 193 1.1× 105 1.1× 32 0.4× 34 0.5× 44 1.0× 15 311

Countries citing papers authored by Zhaomin Yao

Since Specialization
Citations

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

Fields of papers citing papers by Zhaomin Yao

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Zhaomin Yao

This figure shows the co-authorship network connecting the top 25 collaborators of Zhaomin Yao. A scholar is included among the top collaborators of Zhaomin Yao 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 Zhaomin Yao. Zhaomin Yao 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.
Yao, Zhaomin, et al.. (2025). RetinalVasNet: a deep learning approach for robust retinal microvasculature detection. Frontiers in Molecular Biosciences. 12. 1562608–1562608.
2.
Lu, Feifei, et al.. (2025). LeafConvNeXt: Enhancing plant disease classification for the future of unmanned farming. Computers and Electronics in Agriculture. 233. 110165–110165. 5 indexed citations
3.
Wang, Xueting, Miao Liu, Xiangbin Pan, et al.. (2025). A Novel Two-step Classification Approach for Differentiating Bone Metastases From Benign Bone Lesions in SPECT/CT Imaging. Academic Radiology. 32(9). 5364–5377. 2 indexed citations
4.
Li, Yongkai, et al.. (2024). Neural Networks With Linear Adaptive Batch Normalization and Swarm Intelligence Calibration for Real‐Time Gaze Estimation on Smartphones. International Journal of Intelligent Systems. 2024(1). 1 indexed citations
5.
Yao, Zhaomin, Xin Feng, Ying Zhan, et al.. (2024). Techniques and applications in 3D bioprinting with chitosan bio-inks for drug delivery: A review. International Journal of Biological Macromolecules. 278(Pt 4). 134752–134752. 6 indexed citations
6.
Gu, Tianci, et al.. (2024). Coupled relationships between landscape pattern and ecosystem health in response to urbanization. Journal of Environmental Management. 367. 122076–122076. 18 indexed citations
7.
Yao, Zhaomin, Jiahao Liu, Songjie He, et al.. (2024). SIPSC-Kac: Integrating swarm intelligence and protein spatial characteristics for enhanced lysine acetylation site identification. International Journal of Biological Macromolecules. 282(Pt 5). 137237–137237.
8.
Yao, Zhaomin, Weiming Xie, Jiaming Chen, et al.. (2024). DeepSF-4mC: A deep learning model for predicting DNA cytosine 4mC methylation sites leveraging sequence features. Computers in Biology and Medicine. 171. 108166–108166. 6 indexed citations
9.
10.
Xie, Weiming, Zhaomin Yao, Fei Li, et al.. (2024). W2V-repeated index: Prediction of enhancers and their strength based on repeated fragments. Genomics. 116(5). 110906–110906.
11.
Yao, Zhaomin, Zhen Wang, Weiming Xie, et al.. (2024). Applications of Generative Artificial Intelligence in Brain MRI Image Analysis for Brain Disease Diagnosis. 1. 2 indexed citations
12.
Yao, Zhaomin, et al.. (2023). Artificial intelligence-based diagnosis of Alzheimer's disease with brain MRI images. European Journal of Radiology. 165. 110934–110934. 39 indexed citations
13.
Yao, Zhaomin, et al.. (2023). Fuzzy-VGG: A fast deep learning method for predicting the staging of Alzheimer's disease based on brain MRI. Information Sciences. 642. 119129–119129. 25 indexed citations
14.
Liu, Shuai, Kewei Li, Yaqi Zhang, et al.. (2023). EpiTEAmDNA: Sequence feature representation via transfer learning and ensemble learning for identifying multiple DNA epigenetic modification types across species. Computers in Biology and Medicine. 160. 107030–107030. 8 indexed citations
15.
Wang, Hongyu, et al.. (2023). LaCOme: Learning the latent convolutional patterns among transcriptomic features to improve classifications. Gene. 862. 147246–147246. 1 indexed citations
16.
Wang, Hongyu, Zhaomin Yao, Ying Zhan, et al.. (2023). Enhanced open biomass burning detection: The BranTNet approach using UAV aerial imagery and deep learning for environmental protection and health preservation. Ecological Indicators. 154. 110788–110788. 12 indexed citations
17.
Yao, Zhaomin, et al.. (2022). Feature Selection of OMIC Data by Ensemble Swarm Intelligence Based Approaches. Frontiers in Genetics. 12. 793629–793629. 11 indexed citations
18.
Yao, Zhaomin, et al.. (2022). FunSwin: A deep learning method to analysis diabetic retinopathy grade and macular edema risk based on fundus images. Frontiers in Physiology. 13. 961386–961386. 17 indexed citations
19.
Sun, Yue, Zijian Xu, Zhaomin Yao, et al.. (2020). COVID19XrayNet: A Two-Step Transfer Learning Model for the COVID-19 Detecting Problem Based on a Limited Number of Chest X-Ray Images. Interdisciplinary Sciences Computational Life Sciences. 12(4). 555–565. 43 indexed citations
20.

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 Hanpei Miao Breakdown of academic impact, for papers by Hongyu Kong Breakdown of academic impact, for papers by Ebrahim Mohammed Senan Breakdown of academic impact, for papers by Fangyao Tang Breakdown of academic impact, for papers by Ivan Coronado Breakdown of academic impact, for papers by Kejuan Yue Breakdown of academic impact, for papers by Hagar Khalid Breakdown of academic impact, for papers by Sophie Lemmens Breakdown of academic impact, for papers by Bojie Hu Breakdown of academic impact, for papers by Giordana Florimbi
Rankless by CCL
2026