Ming-Ni Wu
Impact in
- Neurology top 5%
- Brain Tumor Detection and Classification
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- Medical Image Segmentation Techniques
- Advanced Neural Network Applications
- Image Retrieval and Classification Techniques
- Advanced Steganography and Watermarking Techniques
- Advanced Image and Video Retrieval Techniques
- Digital Media Forensic Detection
- Chaos-based Image/Signal Encryption
Papers in
-
- Advanced Image and Video Retrieval Techniques 7
- Image and Signal Denoising Methods 5
- Advanced Data Compression Techniques 5
- Image Retrieval and Classification Techniques 5
- Advanced Steganography and Watermarking Techniques 4
- Video Surveillance and Tracking Methods 4
- Medical Image Segmentation Techniques 3
- Co-authors
- Chin‐Chen Chang (9 shared papers)Chia‐Chen Lin (6 shared papers)Chia‐Chen Chen (1 shared paper)Mu‐Yen Chen (1 shared paper)Yu-Chiang Li (2 shared papers)Chih‐Hung Lin (1 shared paper)Kuan‐Ju Chen (1 shared paper)
In The Last Decade
Ming-Ni Wu
25 papers receiving 383 citations
Peers
Comparison fields: 5 of 95
- Neurology 122
- Computer Vision and Pattern Recognition 299
- Media Technology 50
- Artificial Intelligence 79
- Radiology, Nuclear Medicine and Imaging 37
Countries citing papers authored by Ming-Ni Wu
This map shows the geographic impact of Ming-Ni 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-Ni 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-Ni Wu more than expected).
Fields of papers citing papers by Ming-Ni Wu
This network shows the impact of papers produced by Ming-Ni 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-Ni Wu. The network helps show where Ming-Ni Wu may publish in the future.
Co-authors
The 7 scholars most cited alongside Ming-Ni 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 28 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2007 | 135 | |
| 2 | 2010 | 107 | |
| 3 | 2007 | 28 | |
| 4 | 2011 | 27 | |
| 5 | 2015 | 24 | |
| 6 | 2010 | 18 | |
| 7 | 2007 | 14 | |
| 8 | 2006 | 11 | |
| 9 | 2004 | 11 | |
| 10 | 2014 | 8 | |
| 11 | 2007 | 8 | |
| 12 | 2012 | 7 | |
| 13 | An Algorithm for Color Image Compression Base on Common Bit Map Block Truncation Coding. | 2002 | 5 |
| 14 | 2014 | 5 | |
| 15 | 2008 | 4 | |
| 16 | 1995 | 3 | |
| 17 | 2020 | 2 | |
| 18 | 2009 | 2 | |
| 19 | 2009 | 1 | |
| 20 | 2006 | 1 |
About Ming-Ni Wu
Ming-Ni Wu is a scholar working on Computer Vision and Pattern Recognition, Radiology, Nuclear Medicine and Imaging, Biomedical Engineering, Neurology and Radiation, having authored 28 papers that have together received 427 indexed citations. Recurring topics across this work include Advanced Image and Video Retrieval Techniques (7 papers), Image and Signal Denoising Methods (5 papers), Advanced Data Compression Techniques (5 papers), Image Retrieval and Classification Techniques (5 papers), Advanced Steganography and Watermarking Techniques (4 papers), Video Surveillance and Tracking Methods (4 papers), Medical Image Segmentation Techniques (3 papers) and Brain Tumor Detection and Classification (3 papers). The work is most often cited by research in Neurology (122 citations), Computer Vision and Pattern Recognition (299 citations), Media Technology (50 citations), Artificial Intelligence (79 citations) and Radiology, Nuclear Medicine and Imaging (37 citations). Ming-Ni Wu has collaborated with scholars based in Taiwan, China and Malaysia. Frequent co-authors include Chin‐Chen Chang, Chia‐Chen Lin, Chia‐Chen Chen, Mu‐Yen Chen, Yu-Chiang Li, Chih‐Hung Lin and Kuan‐Ju Chen. Their work appears in journals such as Measurement, Journal of Systems and Software, CAAI Transactions on Intelligence Technology, Journal of Medical Systems and Smart Materials and Structures.
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.