Ning Liu
Impact in
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- Advanced Neural Network Applications
- Video Surveillance and Tracking Methods
- Polymers and Plastics top 10%
Papers in
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- Indoor and Outdoor Localization Technologies 15
- Co-authors
- Suining He (9 shared papers)S.-H. Gary Chan (7 shared papers)Li Qiang Zhu (3 shared papers)Le Wang (1 shared paper)Zhenbing Zhao (1 shared paper)Qing Wan (2 shared papers)Lei Yu (3 shared papers)Chengying Gao (10 shared papers)
- Journals
- Proceedings of the ACM on Interactive Mobile Wearable and Ubiquitous Technologies (5 papers)Global Change Biology (3 papers)Physical review. B. (2 papers)Inorganic Chemistry (2 papers)ChemSusChem (2 papers)
- Partner nations
- ChinaUnited StatesHong Kong
In The Last Decade
Ning Liu
117 papers receiving 1.8k citations
Peers
Comparison fields: 5 of 160
- Computer Vision and Pattern Recognition 290
- Polymers and Plastics 123
- Electrical and Electronic Engineering 493
- Signal Processing 96
- Ocean Engineering 109
Countries citing papers authored by Ning Liu
This map shows the geographic impact of Ning Liu'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 Ning Liu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ning Liu more than expected).
Fields of papers citing papers by Ning Liu
This network shows the impact of papers produced by Ning Liu. 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 Ning Liu. The network helps show where Ning Liu may publish in the future.
Co-authors
The 25 scholars most cited alongside Ning Liu, 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 136 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2015 | 128 | |
| 2 | 2020 | 116 | |
| 3 | 2018 | 103 | |
| 4 | 2015 | 98 | |
| 5 | 2014 | 71 | |
| 6 | 2018 | 66 | |
| 7 | 2006 | 61 | |
| 8 | 2023 | 54 | |
| 9 | 2012 | 54 | |
| 10 | 2015 | 54 | |
| 11 | 2024 | 53 | |
| 12 | 2017 | 52 | |
| 13 | 2014 | 47 | |
| 14 | 2018 | 38 | |
| 15 | 2021 | 38 | |
| 16 | 2013 | 34 | |
| 17 | 2017 | 34 | |
| 18 | 2014 | 32 | |
| 19 | 2015 | 32 | |
| 20 | 2017 | 31 |
About Ning Liu
Ning Liu is a scholar working on Electrical and Electronic Engineering, Molecular Biology, Materials Chemistry, Computer Vision and Pattern Recognition and Artificial Intelligence, having authored 136 papers that have together received 1.9k indexed citations. Recurring topics across this work include Indoor and Outdoor Localization Technologies (15 papers), Adversarial Robustness in Machine Learning (9 papers), Robotics and Sensor-Based Localization (7 papers), Speech and Audio Processing (6 papers), Advanced Neural Network Applications (6 papers), Underwater Vehicles and Communication Systems (5 papers), Anomaly Detection Techniques and Applications (4 papers) and Coastal wetland ecosystem dynamics (4 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (290 citations), Polymers and Plastics (123 citations), Electrical and Electronic Engineering (493 citations), Signal Processing (96 citations) and Ocean Engineering (109 citations). Ning Liu has collaborated with scholars based in China, United States and Hong Kong. Frequent co-authors include Suining He, S.-H. Gary Chan, Li Qiang Zhu, Le Wang, Zhenbing Zhao, Qing Wan, Lei Yu, Chengying Gao, Yi Shi and Jumei Zhou. Their work appears in journals such as Proceedings of the ACM on Interactive Mobile Wearable and Ubiquitous Technologies, Global Change Biology, Physical review. B., Inorganic Chemistry and ChemSusChem.
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.