Dong Zhao

2.6k total citations · 5 hit papers
50 papers, 1.9k citations indexed

About

Dong Zhao is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, Dong Zhao has authored 50 papers receiving a total of 1.9k indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Artificial Intelligence, 15 papers in Computer Vision and Pattern Recognition and 7 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Dong Zhao's work include Metaheuristic Optimization Algorithms Research (7 papers), COVID-19 diagnosis using AI (6 papers) and Image Processing Techniques and Applications (4 papers). Dong Zhao is often cited by papers focused on Metaheuristic Optimization Algorithms Research (7 papers), COVID-19 diagnosis using AI (6 papers) and Image Processing Techniques and Applications (4 papers). Dong Zhao collaborates with scholars based in China, Iran and Saudi Arabia. Dong Zhao's co-authors include Huiling Chen, Ali Asghar Heidari, Lei Liu, Majdi Mafarja, Hang Su, Xiaoqin Zhang, Fanhua Yu, Zhennao Cai, Zongda Wu and Mayun Chen and has published in prestigious journals such as Scientific Reports, Chemical Physics Letters and Neurocomputing.

In The Last Decade

Dong Zhao

47 papers receiving 1.8k citations

Hit Papers

RIME: A physics-based optimization 2022 2026 2023 2024 2023 2022 2022 2024 2024 100 200 300 400 500
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. RIME: A physics-based optimization
    2023 594 citations Hang Su, Dong Zhao et al. Neurocomputing profile →
  2. Directional mutation and crossover boosted ant colony optimization with application to COVID-19 X-ray image segmentation
    2022 162 citations Dong Zhao, Fanhua Yu et al. Computers in Biology and Medicine profile →
  3. Multilevel threshold image segmentation for COVID-19 chest radiography: A framework using horizontal and vertical multiverse optimization
    2022 137 citations Dong Zhao, Ali Asghar Heidari et al. Computers in Biology and Medicine profile →
  4. Polar lights optimizer: Algorithm and applications in image segmentation and feature selection
    2024 106 citations Chong Yuan, Dong Zhao et al. Neurocomputing profile →
  5. Artemisinin optimization based on malaria therapy: Algorithm and applications to medical image segmentation
    2024 65 citations Chong Yuan, Dong Zhao et al. Displays profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Dong Zhao China 18 906 495 239 226 174 50 1.9k
Dawid Połap Poland 28 1.1k 1.2× 702 1.4× 296 1.2× 202 0.9× 169 1.0× 113 2.6k
Marwa M. Emam Egypt 18 860 0.9× 387 0.8× 309 1.3× 183 0.8× 79 0.5× 35 1.4k
Fanhua Yu China 21 675 0.7× 366 0.7× 202 0.8× 176 0.8× 117 0.7× 47 1.7k
Guoxi Liang China 30 1.4k 1.6× 385 0.8× 197 0.8× 421 1.9× 263 1.5× 83 2.5k
Hamza Turabieh Saudi Arabia 31 1.3k 1.5× 344 0.7× 215 0.9× 274 1.2× 195 1.1× 85 2.8k
Yan Pei Japan 23 848 0.9× 448 0.9× 450 1.9× 145 0.6× 106 0.6× 158 1.8k
Gehad Ismail Sayed Egypt 15 1.1k 1.2× 290 0.6× 127 0.5× 361 1.6× 144 0.8× 38 1.6k
Qasem Al-Tashi Malaysia 16 946 1.0× 322 0.7× 115 0.5× 261 1.2× 172 1.0× 39 2.1k

Countries citing papers authored by Dong Zhao

Since Specialization
Citations

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

Fields of papers citing papers by Dong Zhao

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Dong Zhao

This figure shows the co-authorship network connecting the top 25 collaborators of Dong Zhao. A scholar is included among the top collaborators of Dong Zhao 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 Dong Zhao. Dong Zhao 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.
2.
Yuan, Chong, Dong Zhao, Ali Asghar Heidari, et al.. (2024). Artemisinin optimization based on malaria therapy: Algorithm and applications to medical image segmentation. Displays. 84. 102740–102740. 65 indexed citations breakdown →
3.
4.
Yuan, Chong, Dong Zhao, Ali Asghar Heidari, et al.. (2024). Cross and local optimal avoidance of RIME algorithm: A segmentation study for COVID-19 X-ray images. Displays. 83. 102727–102727. 2 indexed citations
5.
Xu, Xin, et al.. (2024). Dynamic parameter identification method for wireless charging system of AUV based on multi-strategy nonlinear rime algorithm. International Journal of Electrical Power & Energy Systems. 162. 110344–110344. 1 indexed citations
6.
Li, Yu‐Peng, Yining Liu, Dong Zhao, et al.. (2023). An optimized machine learning method for predicting wogonin therapy for the treatment of pulmonary hypertension. Computers in Biology and Medicine. 164. 107293–107293. 6 indexed citations
7.
Su, Hang, Dong Zhao, Ali Asghar Heidari, et al.. (2023). RIME: A physics-based optimization. Neurocomputing. 532. 183–214. 594 indexed citations breakdown →
8.
Zhang, Hongliang, Zhennao Cai, Lei Xiao, et al.. (2023). Face Image Segmentation Using Boosted Grey Wolf Optimizer. Biomimetics. 8(6). 484–484. 8 indexed citations
9.
Zhao, Dong, et al.. (2023). Multi-strategy ant colony optimization for multi-level image segmentation: Case study of melanoma. Biomedical Signal Processing and Control. 83. 104647–104647. 17 indexed citations
10.
Wu, Yulin, et al.. (2022). Perturbation consistency and mutual information regularization for semi-supervised semantic segmentation. Multimedia Systems. 29(2). 511–523. 5 indexed citations
11.
Zhao, Dong, Fanhua Yu, Ali Asghar Heidari, et al.. (2022). Directional mutation and crossover boosted ant colony optimization with application to COVID-19 X-ray image segmentation. Computers in Biology and Medicine. 148. 105810–105810. 162 indexed citations breakdown →
12.
Xiao, Yang, Dong Zhao, Fanhua Yu, et al.. (2022). An optimized machine learning framework for predicting intradialytic hypotension using indexes of chronic kidney disease-mineral and bone disorders. Computers in Biology and Medicine. 145. 105510–105510. 50 indexed citations
13.
Zhao, Dong, et al.. (2022). A fault diagnosis framework for rotating machinery of marine equipment: A semi-supervised learning framework based on contractive stacked autoencoder. Proceedings of the Institution of Mechanical Engineers Part M Journal of Engineering for the Maritime Environment. 237(3). 625–636. 3 indexed citations
14.
Li, Yupeng, Dong Zhao, Guangjie Liu, et al.. (2022). Intradialytic hypotension prediction using covariance matrix-driven whale optimizer with orthogonal structure-assisted extreme learning machine. Frontiers in Neuroinformatics. 16. 956423–956423. 10 indexed citations
15.
Su, Hang, Dong Zhao, Fanhua Yu, et al.. (2022). Detection of pulmonary embolism severity using clinical characteristics, hematological indices, and machine learning techniques. Frontiers in Neuroinformatics. 16. 1029690–1029690. 5 indexed citations
16.
Liu, Lei, Dong Zhao, Fanhua Yu, et al.. (2021). Performance optimization of differential evolution with slime mould algorithm for multilevel breast cancer image segmentation. Computers in Biology and Medicine. 138. 104910–104910. 78 indexed citations
17.
Zhu, Jinlong, et al.. (2020). Classroom Roll-Call System Based on ResNet Networks. Journal of Information Processing Systems. 16(5). 1145–1157. 1 indexed citations
18.
Cai, Zhennao, Jianhua Gu, Dong Zhao, et al.. (2018). An Intelligent Parkinson’s Disease Diagnostic System Based on a Chaotic Bacterial Foraging Optimization Enhanced Fuzzy KNN Approach. Computational and Mathematical Methods in Medicine. 2018. 1–24. 96 indexed citations
19.
Wang, Yufei, Jiande Sun, Jing Li, & Dong Zhao. (2016). Gait recognition based on 3D skeleton joints captured by kinect. 3151–3155. 38 indexed citations
20.
Zhou, Ru, Wei Zhang, & Dong Zhao. (2013). Computational Simulation of Smoke Temperature Diffusion in High-rise Buildings Fires. Research Journal of Applied Sciences Engineering and Technology. 11(9). 2078–2083. 4 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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