Ning Jing
Impact in
- Signal Processing top 5%
- Data Management and Algorithms
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- Geographic Information Systems Studies
Papers in
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- Data Management and Algorithms 25
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- Advanced Image and Video Retrieval Techniques 11
- Co-authors
- Yun-Wu Huang (1 shared paper)Elke A. Rundensteiner (1 shared paper)Luo Chen (23 shared papers)Hao Chen (8 shared papers)Hao Chen (6 shared papers)Chun Du (6 shared papers)Yunguang Ye (1 shared paper)Hongchao Fan (3 shared papers)
- Journals
- ISPRS International Journal of Geo-Information (7 papers)IEEE Geoscience and Remote Sensing Letters (2 papers)IEEE Access (2 papers)IEEE Transactions on Geoscience and Remote Sensing (2 papers)Computers & Geosciences (2 papers)
- Partner nations
- ChinaUnited StatesGermany
In The Last Decade
Ning Jing
80 papers receiving 792 citations
Peers
Comparison fields: 5 of 91
- Signal Processing 236
- Geography, Planning and Development 94
- Transportation 83
- Computer Networks and Communications 197
- Computer Vision and Pattern Recognition 149
Countries citing papers authored by Ning Jing
This map shows the geographic impact of Ning Jing'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 Jing with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ning Jing more than expected).
Fields of papers citing papers by Ning Jing
This network shows the impact of papers produced by Ning Jing. 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 Jing. The network helps show where Ning Jing may publish in the future.
Co-authors
The 25 scholars most cited alongside Ning Jing, 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 88 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Spatial Joins Using R-trees: Breadth-First Traversal with Global Optimizations | 1997 | 113 |
| 2 | 2019 | 46 | |
| 3 | 2015 | 39 | |
| 4 | 2011 | 38 | |
| 5 | 2018 | 31 | |
| 6 | 2019 | 29 | |
| 7 | 2016 | 28 | |
| 8 | 2019 | 27 | |
| 9 | 2016 | 25 | |
| 10 | 2018 | 25 | |
| 11 | 2011 | 24 | |
| 12 | 2011 | 24 | |
| 13 | 2004 | 23 | |
| 14 | 2018 | 23 | |
| 15 | 2018 | 20 | |
| 16 | 2012 | 19 | |
| 17 | 2014 | 18 | |
| 18 | 2020 | 15 | |
| 19 | 2023 | 13 | |
| 20 | 2023 | 12 |
About Ning Jing
Ning Jing is a scholar working on Signal Processing, Computer Vision and Pattern Recognition, Artificial Intelligence, Computer Networks and Communications and Aerospace Engineering, having authored 88 papers that have together received 822 indexed citations. Recurring topics across this work include Data Management and Algorithms (25 papers), Geographic Information Systems Studies (16 papers), Advanced Image and Video Retrieval Techniques (11 papers), Optimization and Search Problems (8 papers), Satellite Communication Systems (8 papers), Human Mobility and Location-Based Analysis (8 papers), Automated Road and Building Extraction (7 papers) and Machine Fault Diagnosis Techniques (6 papers). The work is most often cited by research in Signal Processing (236 citations), Geography, Planning and Development (94 citations), Transportation (83 citations), Computer Networks and Communications (197 citations) and Computer Vision and Pattern Recognition (149 citations). Ning Jing has collaborated with scholars based in China, United States and Germany. Frequent co-authors include Yun-Wu Huang, Elke A. Rundensteiner, Luo Chen, Hao Chen, Hao Chen, Chun Du, Yunguang Ye, Hongchao Fan, Bing Zhang and Jianhui Lin. Their work appears in journals such as ISPRS International Journal of Geo-Information, IEEE Geoscience and Remote Sensing Letters, IEEE Access, IEEE Transactions on Geoscience and Remote Sensing and Computers & Geosciences.
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.