Ming Wu
Impact in
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- Graph Theory and Algorithms
- Advanced Neural Network Applications
- Advanced Image and Video Retrieval Techniques
- Media Technology top 1%
- Remote-Sensing Image Classification
Papers in
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- Robotic Path Planning Algorithms 8
- Graph Theory and Algorithms 7
- Advanced Neural Network Applications 6
- Advanced Vision and Imaging 6
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- Domain Adaptation and Few-Shot Learning 6
- Co-authors
- Chuang Zhang (29 shared papers)Lidong Zhou (7 shared papers)Youshan Miao (6 shared papers)Jun Guo (7 shared papers)Zhanyu Ma (2 shared papers)Dongliang Chang (1 shared paper)Yi-Zhe Song (1 shared paper)Jiyang Xie (1 shared paper)
- Journals
- IEEE Access (3 papers)Remote Sensing (3 papers)IEEE Geoscience and Remote Sensing Letters (1 paper)IEEE Transactions on Image Processing (1 paper)IEEE Transactions on Geoscience and Remote Sensing (1 paper)
- Partner nations
- ChinaUnited StatesUnited Kingdom
In The Last Decade
Ming Wu
69 papers receiving 1.8k citations
Ming Wu's Hit Papers
Peers
Comparison fields: 5 of 113
- Computer Vision and Pattern Recognition 911
- Media Technology 367
- Ocean Engineering 550
- Environmental Engineering 464
- Artificial Intelligence 460
Countries citing papers authored by Ming Wu
This map shows the geographic impact of Ming Wu'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 Wu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ming Wu more than expected).
Fields of papers citing papers by Ming Wu
This network shows the impact of papers produced by Ming Wu. 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 Wu. The network helps show where Ming Wu may publish in the future.
Co-authors
The 25 scholars most cited alongside Ming Wu, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 75 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | D-LinkNet: LinkNet with Pretrained Encoder and Dilated Convolution for High Resolution Satellite Imagery Road Extraction Hit paper breakdown → | 2018 | 664 |
| 2 | The Devil is in the Channels: Mutual-Channel Loss for Fine-Grained Image Classification Hit paper breakdown → | 2020 | 270 |
| 3 | 2014 | 112 | |
| 4 | 2015 | 90 | |
| 5 | 2019 | 69 | |
| 6 | NeuGraph: Parallel Deep Neural Network Computation on Large Graphs | 2019 | 69 |
| 7 | Managing large graphs on multi-cores with graph awareness | 2012 | 62 |
| 8 | 2019 | 35 | |
| 9 | 2022 | 32 | |
| 10 | TUX 2 : distributed graph computation for machine learning | 2017 | 29 |
| 11 | 2019 | 28 | |
| 12 | 2020 | 21 | |
| 13 | 2006 | 19 | |
| 14 | 2023 | 18 | |
| 15 | 2009 | 17 | |
| 16 | 2021 | 17 | |
| 17 | 2008 | 14 | |
| 18 | 2005 | 13 | |
| 19 | 2009 | 13 | |
| 20 | 2022 | 13 |
About Ming Wu
Ming Wu is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence, Aerospace Engineering, Information Systems and Ocean Engineering, having authored 75 papers that have together received 1.8k indexed citations. Recurring topics across this work include Robotic Path Planning Algorithms (8 papers), Robotics and Sensor-Based Localization (8 papers), Graph Theory and Algorithms (7 papers), Advanced Neural Network Applications (6 papers), Domain Adaptation and Few-Shot Learning (6 papers), Automated Road and Building Extraction (6 papers), Advanced Vision and Imaging (6 papers) and Complex Network Analysis Techniques (5 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (911 citations), Media Technology (367 citations), Ocean Engineering (550 citations), Environmental Engineering (464 citations) and Artificial Intelligence (460 citations). Ming Wu has collaborated with scholars based in China, United States and United Kingdom. Frequent co-authors include Chuang Zhang, Lidong Zhou, Youshan Miao, Jun Guo, Zhanyu Ma, Dongliang Chang, Yi-Zhe Song, Jiyang Xie, Yifeng Ding and Ayan Kumar Bhunia. Their work appears in journals such as IEEE Access, Remote Sensing, IEEE Geoscience and Remote Sensing Letters, IEEE Transactions on Image Processing and IEEE Transactions on Geoscience and Remote Sensing.
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.