Yaning Feng
- Computer Vision and Pattern Recognition top 5%
- Media Technology top 5%
- Radiology, Nuclear Medicine and Imaging
- Pulmonary and Respiratory Medicine
- Artificial Intelligence
- Topics
- Image Enhancement Techniques (5 papers)Radiomics and Machine Learning in Medical Imaging (4 papers)Lung Cancer Diagnosis and Treatment (4 papers)
- Cited by
- Media TechnologyComputer Vision and Pattern RecognitionRadiology, Nuclear Medicine and Imaging
- Journals
- SHILAP Revista de lepidopterologíaScientific ReportsIEEE Access
- Partner nations
- ChinaJapanUnited States
In The Last Decade
Yaning Feng
21 papers receiving 360 citations
Peers
Comparison fields: 5 of 81
- Computer Vision and Pattern Recognition 179
- Media Technology 116
- Radiology, Nuclear Medicine and Imaging 83
- Pulmonary and Respiratory Medicine 60
- Artificial Intelligence 58
Countries citing papers authored by Yaning Feng
This map shows the geographic impact of Yaning Feng'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 Yaning Feng with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yaning Feng more than expected).
Fields of papers citing papers by Yaning Feng
This network shows the impact of papers produced by Yaning Feng. 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 Yaning Feng. The network helps show where Yaning Feng may publish in the future.
Co-authorship network of co-authors of Yaning Feng
This figure shows the co-authorship network connecting the top 25 collaborators of Yaning Feng. A scholar is included among the top collaborators of Yaning Feng 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 Yaning Feng. Yaning Feng is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 7 | |
| 3 | 3 | |
| 4 | 1 | |
| 5 | 4 | |
| 6 | 7 | |
| 7 | 2 | |
| 8 | 2 | |
| 9 | 60 | |
| 10 | 60 | |
| 11 | 65 | |
| 12 | 13 | |
| 13 | 10 | |
| 14 | 101 | |
| 15 | 1 | |
| 16 | 13 | |
| 17 | 1 | |
| 18 | Evaluation of MTANNs for eliminating false-positive with different computer aided pulmonary nodules detection software. | 1 |
| 19 | 3 | |
| 20 | Artificial neural network detecting method for cast products surface defects based on machine vision | 3 |
About Yaning Feng
Yaning Feng is a scholar working on Computer Vision and Pattern Recognition, Media Technology and Computer Graphics and Computer-Aided Design, having authored 21 papers that have together received 379 indexed citations. Recurring topics across this work include Image Enhancement Techniques (5 papers), Radiomics and Machine Learning in Medical Imaging (4 papers) and Lung Cancer Diagnosis and Treatment (4 papers). The work is most often cited by research in Media Technology (116 citations), Computer Vision and Pattern Recognition (179 citations) and Radiology, Nuclear Medicine and Imaging (83 citations). Yaning Feng has collaborated with scholars based in China, Japan and United States. Frequent co-authors include Minghua Zhao, Lifeng He, Zhenghao Shi, Erhu Zhang, Kenji Suzuki, Zhenghao Shi, Yinghui Wang, Hao Huan, Ruozheng Wang and Yanchun Peng. Their work appears in journals such as SHILAP Revista de lepidopterología, Scientific Reports and IEEE Access.
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.