Xuefei Ning
- Hardware and Architecture top 5%
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- Advanced Neural Network Applications 15
- Advanced Image and Video Retrieval Techniques 4
- Artificial Intelligence top 5%
- Adversarial Robustness in Machine Learning 5
- Topic Modeling 3
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- Advanced Memory and Neural Computing 9
- CCD and CMOS Imaging Sensors 7
- Ferroelectric and Negative Capacitance Devices 6
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- Autonomous Vehicle Technology and Safety 3
- Co-authors
- Yu WangHuazhong YangMengyun LiuKrishnendu ChakrabartyLixue XiaJincheng YuKai ZhongJuejian Wu
- Journals
- IEEE Transactions on Pattern Analysis and Machine Intelligence (1 paper)Neurocomputing (1 paper)IEEE Transactions on Circuits and Systems for Video Technology (2 papers)
- Partner nations
- ChinaUnited StatesUnited Kingdom
In The Last Decade
Xuefei Ning
35 papers receiving 721 citations
Peers
Comparison fields: 5 of 70
- Hardware and Architecture 123
- Computer Vision and Pattern Recognition 184
- Artificial Intelligence 281
- Electrical and Electronic Engineering 420
- Industrial and Manufacturing Engineering 36
Countries citing papers authored by Xuefei Ning
This map shows the geographic impact of Xuefei Ning'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 Xuefei Ning with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Xuefei Ning more than expected).
Fields of papers citing papers by Xuefei Ning
This network shows the impact of papers produced by Xuefei Ning. 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 Xuefei Ning. The network helps show where Xuefei Ning may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Xuefei Ning, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 0 | |
| 2 | 2025 | 0 | |
| 3 | 2025 | 1 | |
| 4 | 2025 | 0 | |
| 5 | 2024 | 1 | |
| 6 | 2024 | 0 | |
| 7 | 2024 | 5 | |
| 8 | 2024 | 0 | |
| 9 | 2024 | 1 | |
| 10 | 2024 | 49 | |
| 11 | 2024 | 1 | |
| 12 | 2023 | 1 | |
| 13 | 2023 | 6 | |
| 14 | 2023 | 9 | |
| 15 | 2022 | 1 | |
| 16 | 2022 | 74 | |
| 17 | 2022 | 7 | |
| 18 | 2021 | 180 | |
| 19 | 2018 | 5 | |
| 20 | 2018 | 44 |
About Xuefei Ning
Xuefei Ning is a scholar working on Computational Mathematics, Computer Vision and Pattern Recognition and Hardware and Architecture, having authored 44 papers that have together received 737 indexed citations. Recurring topics across this work include Advanced Neural Network Applications (15 papers), Advanced Memory and Neural Computing (9 papers), CCD and CMOS Imaging Sensors (7 papers), Ferroelectric and Negative Capacitance Devices (6 papers), Adversarial Robustness in Machine Learning (5 papers), Advanced Image and Video Retrieval Techniques (4 papers), Topic Modeling (3 papers) and Autonomous Vehicle Technology and Safety (3 papers). The work is most often cited by research in Hardware and Architecture (123 citations), Computer Vision and Pattern Recognition (184 citations) and Artificial Intelligence (281 citations). Xuefei Ning has collaborated with scholars based in China, United States and United Kingdom. Frequent co-authors include Yu Wang, Huazhong Yang, Mengyun Liu, Krishnendu Chakrabarty, Lixue Xia, Yu Wang, Jincheng Yu, Kai Zhong, Juejian Wu and Hai Li. Their work appears in journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, Neurocomputing and IEEE Transactions on Circuits and Systems for Video Technology.
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.