Ningbo Long
Impact in
- Aerospace Engineering top 2%
- Radar Systems and Signal Processing
- Advanced SAR Imaging Techniques
- Human-Computer Interaction top 10%
Papers in
-
- Video Surveillance and Tracking Methods 4
- Advanced Vision and Imaging 1
-
- Tactile and Sensory Interactions 4
- Co-authors
- Hugh Griffiths (3 shared papers)Kaiwei Wang (7 shared papers)Ruiqi Cheng (7 shared papers)Kailun Yang (7 shared papers)Weijian Hu (4 shared papers)Jian Bai (3 shared papers)Dong Liu (1 shared paper)Luis M. Bergasa (1 shared paper)
- Journals
- Multimedia Tools and Applications (1 paper)Review of Scientific Instruments (1 paper)The Journal of Engineering (1 paper)Sensors (1 paper)Electronics Letters (1 paper)
- Partner nations
- ChinaUnited KingdomSpain
In The Last Decade
Ningbo Long
11 papers receiving 567 citations
Peers
Comparison fields: 5 of 56
- Aerospace Engineering 429
- Human-Computer Interaction 35
- Computer Vision and Pattern Recognition 103
- Signal Processing 53
- Instrumentation 16
Countries citing papers authored by Ningbo Long
This map shows the geographic impact of Ningbo Long'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 Ningbo Long with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ningbo Long more than expected).
Fields of papers citing papers by Ningbo Long
This network shows the impact of papers produced by Ningbo Long. 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 Ningbo Long. The network helps show where Ningbo Long may publish in the future.
Co-authors
The 13 scholars most cited alongside Ningbo Long, 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 | 1986 | 211 | |
| 2 | 1986 | 194 | |
| 3 | 2019 | 61 | |
| 4 | 2017 | 29 | |
| 5 | 2017 | 28 | |
| 6 | 2018 | 27 | |
| 7 | 2019 | 18 | |
| 8 | 2018 | 17 | |
| 9 | 2022 | 12 | |
| 10 | 2019 | 7 | |
| 11 | 1985 | 1 |
About Ningbo Long
Ningbo Long is a scholar working on Computer Vision and Pattern Recognition, Cognitive Neuroscience, Public Health, Environmental and Occupational Health, Aerospace Engineering and Automotive Engineering, having authored 11 papers that have together received 605 indexed citations. Recurring topics across this work include Tactile and Sensory Interactions (4 papers), Video Surveillance and Tracking Methods (4 papers), Ocular Surface and Contact Lens (3 papers), Autonomous Vehicle Technology and Safety (2 papers), Smart Parking Systems Research (2 papers), Radar Systems and Signal Processing (2 papers), Infrastructure Maintenance and Monitoring (1 paper) and Advanced Vision and Imaging (1 paper). The work is most often cited by research in Aerospace Engineering (429 citations), Human-Computer Interaction (35 citations), Computer Vision and Pattern Recognition (103 citations), Signal Processing (53 citations) and Instrumentation (16 citations). Ningbo Long has collaborated with scholars based in China, United Kingdom and Spain. Frequent co-authors include Hugh Griffiths, Kaiwei Wang, Ruiqi Cheng, Kailun Yang, Weijian Hu, Jian Bai, Dong Liu, Luis M. Bergasa, Eduardo Romera and Yan Han. Their work appears in journals such as Multimedia Tools and Applications, Review of Scientific Instruments, The Journal of Engineering, Sensors and Electronics Letters.
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.