Cihui Yang
Impact in
- Neurology top 10%
- Brain Tumor Detection and Classification
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- Image and Signal Denoising Methods
- Advanced Neural Network Applications
- Medical Image Segmentation Techniques
Papers in
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- Handwritten Text Recognition Techniques 4
- Image Retrieval and Classification Techniques 3
- Image Processing and 3D Reconstruction 3
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- Phase-change materials and chalcogenides 15
- Co-authors
- Lei Wang (21 shared papers)Jing Wen (14 shared papers)Shan Gai (9 shared papers)Enmin Song (3 shared papers)Ning Pan (1 shared paper)Hong Liu (1 shared paper)Richard R. Green (1 shared paper)Boyu Zhang (1 shared paper)
- Journals
- Digital Signal Processing (3 papers)Nanotechnology Reviews (2 papers)Applied Physics Express (2 papers)Materials Letters (1 paper)Neural Processing Letters (1 paper)
- Partner nations
- ChinaAustraliaUnited Kingdom
In The Last Decade
Cihui Yang
35 papers receiving 603 citations
Peers
Comparison fields: 5 of 66
- Neurology 82
- Computer Vision and Pattern Recognition 211
- Media Technology 68
- Polymers and Plastics 67
- Electrical and Electronic Engineering 255
Countries citing papers authored by Cihui Yang
This map shows the geographic impact of Cihui Yang'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 Cihui Yang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Cihui Yang more than expected).
Fields of papers citing papers by Cihui Yang
This network shows the impact of papers produced by Cihui Yang. 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 Cihui Yang. The network helps show where Cihui Yang may publish in the future.
Co-authors
The 25 scholars most cited alongside Cihui Yang, 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 36 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2015 | 74 | |
| 2 | 2010 | 74 | |
| 3 | 2015 | 63 | |
| 4 | 2017 | 61 | |
| 5 | 2022 | 57 | |
| 6 | 2022 | 45 | |
| 7 | 2022 | 41 | |
| 8 | 2022 | 26 | |
| 9 | 2018 | 25 | |
| 10 | 2015 | 16 | |
| 11 | 2014 | 16 | |
| 12 | 2014 | 13 | |
| 13 | 2016 | 12 | |
| 14 | 2013 | 9 | |
| 15 | 2014 | 8 | |
| 16 | 2016 | 7 | |
| 17 | 2012 | 7 | |
| 18 | 2015 | 7 | |
| 19 | 2018 | 6 | |
| 20 | 2019 | 6 |
About Cihui Yang
Cihui Yang is a scholar working on Computer Vision and Pattern Recognition, Materials Chemistry, Electrical and Electronic Engineering, Media Technology and Polymers and Plastics, having authored 36 papers that have together received 619 indexed citations. Recurring topics across this work include Phase-change materials and chalcogenides (15 papers), Advanced Memory and Neural Computing (15 papers), Transition Metal Oxide Nanomaterials (4 papers), Advanced Image Fusion Techniques (4 papers), Semiconductor materials and devices (4 papers), Handwritten Text Recognition Techniques (4 papers), Image Retrieval and Classification Techniques (3 papers) and Image Processing and 3D Reconstruction (3 papers). The work is most often cited by research in Neurology (82 citations), Computer Vision and Pattern Recognition (211 citations), Media Technology (68 citations), Polymers and Plastics (67 citations) and Electrical and Electronic Engineering (255 citations). Cihui Yang has collaborated with scholars based in China, Australia and United Kingdom. Frequent co-authors include Lei Wang, Jing Wen, Shan Gai, Enmin Song, Ning Pan, Hong Liu, Richard R. Green, Boyu Zhang, Xixi Wang and C. David Wright. Their work appears in journals such as Digital Signal Processing, Nanotechnology Reviews, Applied Physics Express, Materials Letters and Neural Processing Letters.
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.