Zhongying Deng
- Computer Vision and Pattern Recognition top 2%
- Artificial Intelligence top 5%
- Media Technology top 5%
- Signal Processing
- Ocean Engineering
- Co-authors
- Yu QiaoJunjun HeYali WangLei ZhouXiaojiang PengZhifeng LiDa LiKaiyang Zhou
- Topics
- Advanced Neural Network Applications (5 papers)Radiomics and Machine Learning in Medical Imaging (4 papers)Multimodal Machine Learning Applications (3 papers)
- Journals
- Scientific ReportsIEEE Transactions on Image ProcessingIEEE Transactions on Intelligent Transportation Systems
- Partner nations
- ChinaUnited KingdomHong Kong
In The Last Decade
Zhongying Deng
11 papers receiving 623 citations
Hit Papers
Peers
Comparison fields: 5 of 72
- Computer Vision and Pattern Recognition 506
- Artificial Intelligence 218
- Media Technology 83
- Signal Processing 43
- Ocean Engineering 38
Countries citing papers authored by Zhongying Deng
This map shows the geographic impact of Zhongying Deng'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 Zhongying Deng with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Zhongying Deng more than expected).
Fields of papers citing papers by Zhongying Deng
This network shows the impact of papers produced by Zhongying Deng. 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 Zhongying Deng. The network helps show where Zhongying Deng may publish in the future.
Co-authorship network of co-authors of Zhongying Deng
This figure shows the co-authorship network connecting the top 25 collaborators of Zhongying Deng. A scholar is included among the top collaborators of Zhongying Deng 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 Zhongying Deng. Zhongying Deng 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 | 1 | |
| 3 | 2 | |
| 4 | 2 | |
| 5 | 1 | |
| 6 | 0 | |
| 7 | 0 | |
| 8 | 0 | |
| 9 | 36 | |
| 10 | 0 | |
| 11 | 24 | |
| 12 | Adaptive Pyramid Context Network for Semantic Segmentationbreakdown → | 282 |
| 13 | 34 | |
| 14 | 48 | |
| 15 | 201 |
About Zhongying Deng
Zhongying Deng is a scholar working on Computer Vision and Pattern Recognition, Instrumentation and Radiology, Nuclear Medicine and Imaging, having authored 15 papers that have together received 632 indexed citations. Recurring topics across this work include Advanced Neural Network Applications (5 papers), Radiomics and Machine Learning in Medical Imaging (4 papers) and Multimodal Machine Learning Applications (3 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (506 citations), Media Technology (83 citations) and Artificial Intelligence (218 citations). Zhongying Deng has collaborated with scholars based in China, United Kingdom and Hong Kong. Frequent co-authors include Yu Qiao, Junjun He, Yali Wang, Lei Zhou, Xiaojiang Peng, Zhifeng Li, Da Li, Kaiyang Zhou, Tao Xiang and Yi-Zhe Song. Their work appears in journals such as Scientific Reports, IEEE Transactions on Image Processing and IEEE Transactions on Intelligent Transportation Systems.
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.