Changmiao Wang

1.6k total citations · 1 hit paper
69 papers, 797 citations indexed

About

Changmiao Wang is a scholar working on Computer Vision and Pattern Recognition, Radiology, Nuclear Medicine and Imaging and Molecular Biology. According to data from OpenAlex, Changmiao Wang has authored 69 papers receiving a total of 797 indexed citations (citations by other indexed papers that have themselves been cited), including 21 papers in Computer Vision and Pattern Recognition, 15 papers in Radiology, Nuclear Medicine and Imaging and 10 papers in Molecular Biology. Recurrent topics in Changmiao Wang's work include Radiomics and Machine Learning in Medical Imaging (10 papers), Brain Tumor Detection and Classification (8 papers) and Medical Image Segmentation Techniques (6 papers). Changmiao Wang is often cited by papers focused on Radiomics and Machine Learning in Medical Imaging (10 papers), Brain Tumor Detection and Classification (8 papers) and Medical Image Segmentation Techniques (6 papers). Changmiao Wang collaborates with scholars based in China, United States and Egypt. Changmiao Wang's co-authors include Ahmed Elazab, Qingmao Hu, Jianhuang Wu, Feiwei Qin, Yong Peng, Yiyu Huang, Fucang Jia, Chenyan Zhang, Yu Gao and Yuxing Dai and has published in prestigious journals such as Expert Systems with Applications, IEEE Access and Neural Networks.

In The Last Decade

Changmiao Wang

55 papers receiving 776 citations

Hit Papers

Accurate leukocyte detection based on deformable-DETR and... 2024 2026 2025 2024 50 100 150
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. Accurate leukocyte detection based on deformable-DETR and multi-level feature fusion for aiding diagnosis of blood diseases
    2024 163 citations Yiyu Huang, Changmiao Wang et al. profile →

Peers

Changmiao Wang
Jintai Chen China
Mohamed Roushdy Egypt
Minglei Li China
Wei Xiong Singapore
Shahriar B. Shokouhi Iran
Yuting He China
Xinlei Chen China
Dengao Li China
Sen Yang China
Jintai Chen China
Changmiao Wang
Citations per year, relative to Changmiao Wang Changmiao Wang (= 1×) peers Jintai Chen

Countries citing papers authored by Changmiao Wang

Since Specialization
Citations

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

Fields of papers citing papers by Changmiao Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Changmiao Wang

This figure shows the co-authorship network connecting the top 25 collaborators of Changmiao Wang. A scholar is included among the top collaborators of Changmiao Wang 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 Changmiao Wang. Changmiao Wang 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.
Sun, Yifei, Zhanghao Chen, Hao Zheng, et al.. (2025). BS-LDM: Effective B one S uppression in High-Resolution Chest X-Ray Images With Conditional L atent D iffusion M odels. IEEE Journal of Biomedical and Health Informatics. 30(1). 376–387.
2.
Zhou, Guanyu, Ke Zhuang, Ruiquan Ge, et al.. (2025). LPUWF-LDM: Enhanced latent diffusion model for precise late-phase UWF-FA generation on limited dataset. Expert Systems with Applications. 270. 126471–126471. 2 indexed citations
3.
Elazab, Ahmed, Ruiquan Ge, Lingyan Zhang, et al.. (2025). ICH-PRNet: a cross-modal intracerebral haemorrhage prognostic prediction method using joint-attention interaction mechanism. Neural Networks. 184. 107096–107096. 7 indexed citations
4.
Wang, Changmiao, Ahmed Elazab, Gangyong Jia, et al.. (2025). CRISP-SAM2: SAM2 with Cross-Modal Interaction and Semantic Prompting for Multi-Organ Segmentation. 1298–1307. 1 indexed citations
5.
Zhang, Yongquan, et al.. (2025). DiffusionClusNet: Deep Clustering-Driven Diffusion Models for Ultrasound Image Enhancement. IEEE Transactions on Consumer Electronics. 71(1). 1495–1503.
6.
Qin, Feiwei, Kang Yan, Changmiao Wang, et al.. (2024). LKFormer: large kernel transformer for infrared image super-resolution. Multimedia Tools and Applications. 83(28). 72063–72077. 11 indexed citations
7.
Ge, Ruiquan, et al.. (2024). TDFFM: Transformer and Deep Forest Fusion Model for Predicting Coronavirus 3C-Like Protease Cleavage Sites. IEEE/ACM Transactions on Computational Biology and Bioinformatics. 21(5). 1231–1241.
8.
Elazab, Ahmed, Changmiao Wang, M. Abdel-Aziz, et al.. (2024). Alzheimer’s disease diagnosis from single and multimodal data using machine and deep learning models: Achievements and future directions. Expert Systems with Applications. 255. 124780–124780. 39 indexed citations
9.
Yu, Xinlei, Ruiquan Ge, Shibin Wu, et al.. (2024). ICHPro: Intracerebral Hemorrhage Prognosis Classification via Joint-Attention Fusion-Based 3D Cross-Modal Network. 1–5. 3 indexed citations
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Zhang, Chen‐Yan, Yifei Chen, Yiyu Huang, et al.. (2024). TC-DiffRecon: Texture Coordination MRI Reconstruction Method Based on Diffusion Model and Modified MF-UNet Method. 1–5. 2 indexed citations
12.
Qin, Feiwei, et al.. (2024). ID-UNet: A densely connected UNet architecture for infrared small target segmentation. Alexandria Engineering Journal. 110. 234–244. 10 indexed citations
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Shao, Zhuhong, et al.. (2024). Quaternion-based 2D-DOST and stacked principal component analysis network for multimodal face recognition. Applied Soft Computing. 166. 112154–112154. 8 indexed citations
15.
Qin, Feiwei, et al.. (2024). IDTransformer: Infrared image denoising method based on convolutional transposed self-attention. Alexandria Engineering Journal. 110. 310–321. 8 indexed citations
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Mu, Mingfei, et al.. (2021). String Stability and Platoon Safety Analysis of a New Car-Following Model Considering a Stabilization Strategy. IEEE Access. 9. 111336–111345. 3 indexed citations
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Wang, Changmiao. (2012). Effect of Da Cheng Qi decoction to the intestinal transtit of acute necrotizing pancreatitis(ANP) in rat. 1 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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