Xin Ning
Impact in
-
- Video Surveillance and Tracking Methods
- Human Pose and Action Recognition
- Advanced Neural Network Applications
- Face recognition and analysis
- Advanced Vision and Imaging
- Media Technology top 1%
Papers in
-
- Face recognition and analysis 34
- Face and Expression Recognition 23
- Video Surveillance and Tracking Methods 19
- Human Pose and Action Recognition 16
- Generative Adversarial Networks and Image Synthesis 16
- Advanced Neural Network Applications 13
- Co-authors
- Weijun LiXiao BaiWeiwei CaiLiping ZhangPrayag TiwariLinjun SunChangshuo WangShengwei Tian
- Journals
- Information Fusion (10 papers)Pattern Recognition (9 papers)Displays (9 papers)Expert Systems with Applications (5 papers)Neural Networks (5 papers)
- Partner nations
- ChinaUnited StatesSweden
In The Last Decade
Xin Ning
148 papers receiving 4.1k citations
Hit Papers
Peers
Comparison fields: 5 of 170
- Computer Vision and Pattern Recognition 2.1k
- Media Technology 375
- Artificial Intelligence 1.2k
- Computer Graphics and Computer-Aided Design 117
- Business and International Management 63
Countries citing papers authored by Xin Ning
This map shows the geographic impact of Xin 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 Xin Ning with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Xin Ning more than expected).
Fields of papers citing papers by Xin Ning
This network shows the impact of papers produced by Xin 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 Xin Ning. The network helps show where Xin Ning may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Xin 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 | 2024 | 30 | |
| 2 | 2024 | 21 | |
| 3 | 2024 | 35 | |
| 4 | 2024 | 1 | |
| 5 | 2024 | 23 | |
| 6 | 2024 | 6 | |
| 7 | 2024 | 21 | |
| 8 | 2024 | 1 | |
| 9 | 2024 | 13 | |
| 10 | 2024 | 5 | |
| 11 | 2024 | 1 | |
| 12 | 2023 | 18 | |
| 13 | 2023 | 26 | |
| 14 | 2023 | 47 | |
| 15 | 2023 | 48 | |
| 16 | 2023 | 30 | |
| 17 | 2023 | 2 | |
| 18 | 2022 | 93 | |
| 19 | 2021 | 40 | |
| 20 | 2020 | 13 |
About Xin Ning
Xin Ning is a scholar working on Computer Vision and Pattern Recognition, Media Technology, Signal Processing, Computer Graphics and Computer-Aided Design and Geology, having authored 168 papers that have together received 4.3k indexed citations. Recurring topics across this work include Face recognition and analysis (34 papers), Face and Expression Recognition (23 papers), Video Surveillance and Tracking Methods (19 papers), Human Pose and Action Recognition (16 papers), Generative Adversarial Networks and Image Synthesis (16 papers), Biometric Identification and Security (15 papers), Advanced Neural Network Applications (13 papers) and 3D Shape Modeling and Analysis (13 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (2.1k citations), Media Technology (375 citations), Artificial Intelligence (1.2k citations), Computer Graphics and Computer-Aided Design (117 citations) and Business and International Management (63 citations). Xin Ning has collaborated with scholars based in China, United States and Sweden. Frequent co-authors include Weijun Li, Xiao Bai, Weiwei Cai, Liping Zhang, Prayag Tiwari, Linjun Sun, Changshuo Wang, Shengwei Tian, Lina Yu and Jun Zhou. Their work appears in journals such as Information Fusion, Pattern Recognition, Displays, Expert Systems with Applications and Neural Networks.
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.