Mingyue Ding

4.4k total citations
277 papers, 3.2k citations indexed

About

Mingyue Ding is a scholar working on Computer Vision and Pattern Recognition, Biomedical Engineering and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, Mingyue Ding has authored 277 papers receiving a total of 3.2k indexed citations (citations by other indexed papers that have themselves been cited), including 140 papers in Computer Vision and Pattern Recognition, 82 papers in Biomedical Engineering and 78 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Mingyue Ding's work include Image and Signal Denoising Methods (46 papers), Ultrasound Imaging and Elastography (45 papers) and Photoacoustic and Ultrasonic Imaging (40 papers). Mingyue Ding is often cited by papers focused on Image and Signal Denoising Methods (46 papers), Ultrasound Imaging and Elastography (45 papers) and Photoacoustic and Ultrasonic Imaging (40 papers). Mingyue Ding collaborates with scholars based in China, Canada and United States. Mingyue Ding's co-authors include Chengping Zhou, Xuming Zhang, Aaron Fenster, Ming Yuchi, Changwen Zheng, Hanping Hu, Wenguang Hou, Lei Li, Fanjiang Xu and Wu Qiu and has published in prestigious journals such as PLoS ONE, Applied Catalysis B: Environmental and Scientific Reports.

In The Last Decade

Mingyue Ding

253 papers receiving 3.1k citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Mingyue Ding 1.5k 695 636 625 440 277 3.2k
Shankar Krishnan 965 0.6× 436 0.6× 492 0.8× 125 0.2× 342 0.8× 119 3.1k
Xin Yang 2.0k 1.3× 263 0.4× 1.1k 1.7× 519 0.8× 788 1.8× 154 3.5k
Wenjing Jia 1.8k 1.2× 369 0.5× 617 1.0× 130 0.2× 987 2.2× 161 3.4k
Yasuyuki Matsushita 5.2k 3.4× 298 0.4× 245 0.4× 820 1.3× 295 0.7× 189 7.1k
Yi Guo 588 0.4× 474 0.7× 1.5k 2.4× 158 0.3× 757 1.7× 163 3.5k
Tianshuang Qiu 534 0.3× 199 0.3× 89 0.1× 287 0.5× 354 0.8× 194 2.7k
Yongyi Yang 1.6k 1.0× 882 1.3× 1.7k 2.7× 70 0.1× 898 2.0× 249 4.0k
Khan A. Wahid 1.0k 0.7× 490 0.7× 409 0.6× 59 0.1× 259 0.6× 201 3.3k
Xiang Sean Zhou 2.2k 1.4× 399 0.6× 658 1.0× 66 0.1× 734 1.7× 90 3.4k

Countries citing papers authored by Mingyue Ding

Since Specialization
Citations

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

Fields of papers citing papers by Mingyue Ding

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mingyue Ding

This figure shows the co-authorship network connecting the top 25 collaborators of Mingyue Ding. A scholar is included among the top collaborators of Mingyue Ding 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 Mingyue Ding. Mingyue Ding 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.
Yan, Wentao, Hui Zhang, Jing Yuan, et al.. (2025). Untrained Neural Network-Based Full-Waveform Inversion for Breast Sound Speed Imaging in Ultrasound Computed Tomography. IEEE Transactions on Instrumentation and Measurement. 74. 1–14.
2.
Yu, Houqiang, et al.. (2024). Despecking of ultrasound image using LENet-based nonlocal-means method. 42–42. 1 indexed citations
3.
Zhou, Xiang, Quanquan Liu, Wei‐Cheng Yan, et al.. (2024). Reconstruction of reflection ultrasound computed tomography with sparse transmissions using conditional generative adversarial network. Ultrasonics. 145. 107486–107486. 2 indexed citations
4.
Guo, Shuai, et al.. (2024). Effects of preparation methods on the performance of InZr/SAPO-34 composite catalysts for CO2 hydrogenation to light olefins. Journal of Fuel Chemistry and Technology. 52(6). 790–799.
5.
Zhou, Quan, et al.. (2024). Collaborative masking based speckle disentanglement for self-supervised optical coherence tomography image despeckling. Optics and Lasers in Engineering. 183. 108499–108499.
6.
7.
Zhou, Quan, et al.. (2024). Robust Semi-Supervised 3D Medical Image Segmentation With Diverse Joint-Task Learning and Decoupled Inter-Student Learning. IEEE Transactions on Medical Imaging. 43(6). 2317–2331. 2 indexed citations
8.
Zhou, Quan, et al.. (2024). Specific Instance and Cross-Prompt-Based Robust 3-D Semi-Supervised Medical Image Segmentation. IEEE Transactions on Instrumentation and Measurement. 73. 1–14. 2 indexed citations
9.
Ding, Mingyue, et al.. (2023). F-DARTS: Foveated Differentiable Architecture Search Based Multimodal Medical Image Fusion. IEEE Transactions on Medical Imaging. 42(11). 3348–3361. 8 indexed citations
10.
Ding, Mingyue, et al.. (2023). Joint Design of OFDM-LFM Waveforms and Receive Filter for MIMO Radar in Spatial Heterogeneous Clutter. IEEE Geoscience and Remote Sensing Letters. 21. 1–5. 5 indexed citations
11.
Ding, Mingyue, et al.. (2023). Free form deformation and symmetry constraint‐based multi‐modal brain image registration using generative adversarial nets. CAAI Transactions on Intelligence Technology. 8(4). 1492–1506. 3 indexed citations
12.
Zhou, Quan, et al.. (2022). Multi-modal medical image fusion based on densely-connected high-resolution CNN and hybrid transformer. Neural Computing and Applications. 34(24). 21741–21761. 23 indexed citations
13.
Zhou, Quan, Junming Wang, Zhiwen Huang, et al.. (2021). Anterior chamber angle classification in anterior segment optical coherence tomography images using hybrid attention based pyramidal convolutional network. Biomedical Signal Processing and Control. 68. 102686–102686. 8 indexed citations
14.
Ding, Mingyue, et al.. (2020). A Novel Reconstruction Method of K-Distributed Sea Clutter with Spatial–Temporal Correlation. Sensors. 20(8). 2377–2377. 4 indexed citations
15.
Huang, Zhiwen, et al.. (2020). Medical Image Classification Using a Light-Weighted Hybrid Neural Network Based on PCANet and DenseNet. IEEE Access. 8. 24697–24712. 82 indexed citations
16.
Ding, Mingyue, et al.. (2019). Laplacian Eigenmaps Network-Based Nonlocal Means Method for MR Image Denoising. Sensors. 19(13). 2918–2918. 19 indexed citations
17.
Feng, Yang, Mingyue Ding, & Xuming Zhang. (2019). Non-Rigid Multi-Modal 3D Medical Image Registration Based on Foveated Modality Independent Neighborhood Descriptor. Sensors. 19(21). 4675–4675. 17 indexed citations
18.
Ding, Mingyue, Shengchu Wang, Zhongyan Huang, Konglin Zhu, & Ling Zhang. (2018). Message-passing cooperative localization in sensor networks with AOA measurements. 724–729. 4 indexed citations
19.
Ding, Mingyue, et al.. (2018). PCANet based nonlocal means method for speckle noise removal in ultrasound images. PLoS ONE. 13(10). e0205390–e0205390. 28 indexed citations
20.
Ding, Mingyue, et al.. (2018). PCANet-Based Structural Representation for Nonrigid Multimodal Medical Image Registration. Sensors. 18(5). 1477–1477. 25 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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