Ning Wu
Impact in
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- Artificial Intelligence in Healthcare
- Ophthalmology top 10%
- Retinal Diseases and Treatments
Papers in
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- Reservoir Engineering and Simulation Methods 4
- Maritime Navigation and Safety 4
- Drilling and Well Engineering 3
- Underwater Vehicles and Communication Systems 3
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- Water Quality Monitoring Technologies 4
- Co-authors
- Liucun Zhu (4 shared papers)Dr. Anas Bilal (1 shared paper)Yang Chen (2 shared papers)Dazhi Wang (1 shared paper)Jeng‐Shyang Pan (1 shared paper)Qing-Wei Chai (1 shared paper)Shu‐Chuan Chu (1 shared paper)Wei Huang (2 shared papers)
In The Last Decade
Ning Wu
32 papers receiving 301 citations
Ning Wu's Hit Papers
Peers
Comparison fields: 5 of 80
- Health Information Management 49
- Ophthalmology 47
- Radiology, Nuclear Medicine and Imaging 114
- Computer Vision and Pattern Recognition 69
- Neurology 21
Countries citing papers authored by Ning Wu
This map shows the geographic impact of Ning 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 Ning Wu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ning Wu more than expected).
Fields of papers citing papers by Ning Wu
This network shows the impact of papers produced by Ning 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 Ning Wu. The network helps show where Ning Wu may publish in the future.
Co-authors
The 25 scholars most cited alongside Ning 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 42 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | AI-Based Automatic Detection and Classification of Diabetic Retinopathy Using U-Net and Deep Learning Hit paper breakdown → | 2022 | 138 |
| 2 | 2017 | 34 | |
| 3 | 2020 | 27 | |
| 4 | 2022 | 13 | |
| 5 | 2004 | 12 | |
| 6 | 2015 | 9 | |
| 7 | 2022 | 7 | |
| 8 | 2022 | 6 | |
| 9 | 2023 | 6 | |
| 10 | 2021 | 6 | |
| 11 | 2021 | 5 | |
| 12 | 2023 | 5 | |
| 13 | 2018 | 4 | |
| 14 | 2021 | 4 | |
| 15 | 2022 | 4 | |
| 16 | 2023 | 3 | |
| 17 | 2025 | 3 | |
| 18 | 2013 | 2 | |
| 19 | A Study on Lumped Elements Model and Thermal Effects of Eddy Currents in Loudspeakers | 2005 | 2 |
| 20 | 2016 | 2 |
About Ning Wu
Ning Wu is a scholar working on Ocean Engineering, Water Science and Technology, Artificial Intelligence, Signal Processing and Computer Vision and Pattern Recognition, having authored 42 papers that have together received 310 indexed citations. Recurring topics across this work include Reservoir Engineering and Simulation Methods (4 papers), Maritime Navigation and Safety (4 papers), Water Quality Monitoring Technologies (4 papers), Drilling and Well Engineering (3 papers), Energy Efficient Wireless Sensor Networks (3 papers), Hydraulic Fracturing and Reservoir Analysis (3 papers), Underwater Vehicles and Communication Systems (3 papers) and Image Retrieval and Classification Techniques (2 papers). The work is most often cited by research in Health Information Management (49 citations), Ophthalmology (47 citations), Radiology, Nuclear Medicine and Imaging (114 citations), Computer Vision and Pattern Recognition (69 citations) and Neurology (21 citations). Ning Wu has collaborated with scholars based in China, Malaysia and Canada. Frequent co-authors include Liucun Zhu, Dr. Anas Bilal, Yang Chen, Dazhi Wang, Jeng‐Shyang Pan, Qing-Wei Chai, Shu‐Chuan Chu, Wei Huang, Chunxi Yang and Yonghui Liu. Their work appears in journals such as IEEE Access, Sensors, Applied Sciences, Sustainability and Fuel.
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.