Ming Dong

3.6k total citations · 1 hit paper
97 papers, 2.5k citations indexed

About

Ming Dong is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, Ming Dong has authored 97 papers receiving a total of 2.5k indexed citations (citations by other indexed papers that have themselves been cited), including 67 papers in Computer Vision and Pattern Recognition, 28 papers in Artificial Intelligence and 13 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Ming Dong's work include Image Retrieval and Classification Techniques (21 papers), Advanced Image and Video Retrieval Techniques (20 papers) and Face and Expression Recognition (17 papers). Ming Dong is often cited by papers focused on Image Retrieval and Classification Techniques (21 papers), Advanced Image and Video Retrieval Techniques (20 papers) and Face and Expression Recognition (17 papers). Ming Dong collaborates with scholars based in United States, China and Egypt. Ming Dong's co-authors include Qirong Mao, Yongzhao Zhan, Zheng-Wei Huang, Jing Hua, Yinlun Huang, Xi Luo, Carri Glide‐Hurst, Hajar Emami, Siamak P. Nejad‐Davarani and Shixing Chen and has published in prestigious journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, Analytical Biochemistry and IEEE Transactions on Biomedical Engineering.

In The Last Decade

Ming Dong

86 papers receiving 2.3k citations

Hit Papers

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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.

Learning Salient Features for Speech Emotion <newline/>Recognition Using Convolutional <newline/>Neural Networks

2014 412 citations Qirong Mao, Ming Dong et al. profile →

Peers

Countries citing papers authored by Ming Dong

Since Specialization

Citations

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

Fields of papers citing papers by Ming Dong

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ming Dong

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

All Works

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20 of 20 papers shown

#	Work	Indexed citations
1	Analyzing the impact of government R&D subsidy and digital transformation on supply chain risk dynamics management and firm performance in the China's chip industry 2025 ·International Journal of Production Economics ·(unknown), (unknown), (unknown), Ming Dong	5
2	Deep Learning-Based Tract Classification of Preoperative DWI Tractography Advances the Prediction of Short-Term Postoperative Language Improvement in Children With Drug-Resistant Epilepsy 2024 ·IEEE Transactions on Biomedical Engineering ·Min‐Hee Lee, (unknown), Hiroshi Uda, (unknown), Ming Dong, Robert Rothermel, Csaba Juhász, Eishi Asano, (unknown)	0
3	Applying feature-similarity-metrics for long-tailed problem of phytoplankton microscopic images classification 2024 ·Algal Research ·(unknown), Gaofang Yin, Nanjing Zhao, (unknown), Xiaoling Zhang, (unknown), Zihao Zhang, Ming Dong, Xiangyun Hu, Pengcheng Huang	0
4	Conditional Diffusion Model with Spatial Attention and Latent Embedding for Medical Image Segmentation 2024 ·Lecture notes in computer science ·(unknown), (unknown), Carri Glide‐Hurst, Ming Dong	1
5	Dual Self-Distillation of U-Shaped Networks for 3D Medical Image Segmentation 2024 ·PubMed ·(unknown), Ming Dong, Carri Glide‐Hurst	1
6	Cascaded Network with Hierarchical Self-Distillation for Sparse Point Cloud Classification 2024 ·Kaiyue Zhou, Ming Dong, (unknown), (unknown)	0
7	Improving protein-protein interaction site prediction using deep residual neural network 2023 ·Analytical Biochemistry ·(unknown), Ming Dong, (unknown), Guijun Zhang	8
8	Joint-Former: Jointly Regularized and Locally Down-sampled Conformer for Semi-supervised Sound Event Detection 2023 ·(unknown), Qirong Mao, Ming Dong	3
9	SA-GAN: Structure-Aware Generative Adversarial Network for Shape-Preserving Synthetic CT Generation. 2021 ·arXiv (Cornell University) ·Hajar Emami, Ming Dong, Siamak P. Nejad‐Davarani, Carri Glide‐Hurst	0
10	Attention-Guided Generative Adversarial Network to Address Atypical Anatomy in Synthetic CT Generation 2020 ·PubMed ·Hajar Emami, Ming Dong, Carri Glide‐Hurst	10
11	Developing Machine Learning Models for Behavioral Coding 2019 ·Journal of Pediatric Psychology ·April Idalski Carcone, (unknown), Gwen Alexander, Ming Dong, Susan Eggly, (unknown), Sylvie Naar, Karen MacDonell, Alexander Kotov	18
12	Using Ranking-CNN for Age Estimation 2017 ·Shixing Chen, Caojin Zhang, Ming Dong, Jia‐Liang Le, (unknown)	169
13	Multi-pose Facial Expression Recognition Using Transformed Dirichlet Process 2016 ·Feifei Zhang, Qirong Mao, Ming Dong, Yongzhao Zhan	5
14	Learning Good Features to Track 2014 ·(unknown), Ming Dong, Zhou Liu	0
15	Speech Emotion Recognition Using CNN 2014 ·Zheng-Wei Huang, Ming Dong, Qirong Mao, Yongzhao Zhan	243
16	Intrinsic Geometric Scale Space by Shape Diffusion 2009 ·IEEE Transactions on Visualization and Computer Graphics ·Guangyu Zou, Jing Hua, (unknown), Xianfeng Gu, Ming Dong	22
17	Simultaneous Localized Feature Selection and Model Detection for Gaussian Mixtures 2008 ·IEEE Transactions on Pattern Analysis and Machine Intelligence ·(unknown), Ming Dong, Jing Hua	42
18	A matrix-based approach for semi-supervised document co-clustering 2008 ·Yanhua Chen, Lijun Wang, Ming Dong	8
19	Dependence of vessel area accuracy and precision as a function of MR imaging parameters and boundary detection algorithm 2007 ·Journal of Magnetic Resonance Imaging ·(unknown), E. Mark Haacke, Ming Dong	19
20	Semantic feedback for interactive image retrieval 2005 ·(unknown), Ming Dong, Farshad Fotouhi	19

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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