Ting Lu
Impact in
- Media Technology top 0.1%
- Remote-Sensing Image Classification
- Advanced Image Fusion Techniques
- Atmospheric Science top 2%
- Remote Sensing and Land Use
Papers in
-
- Remote-Sensing Image Classification 27
- Advanced Image Fusion Techniques 19
-
- Fluid Dynamics and Turbulent Flows 23
- Computational Fluid Dynamics and Aerodynamics 13
- Fluid Dynamics and Vibration Analysis 10
- Co-authors
- Shutao Li (23 shared papers)Leyuan Fang (11 shared papers)Weiwei Song (1 shared paper)Wei Fu (12 shared papers)Jón Atli Benediktsson (6 shared papers)Andrew J. Callegari (1 shared paper)Ran Cao (1 shared paper)Nanjun He (1 shared paper)
- Journals
- IEEE Transactions on Geoscience and Remote Sensing (17 papers)AIAA Journal (4 papers)Computers & Fluids (3 papers)SIAM Journal on Applied Mathematics (2 papers)Journal of Intelligent & Fuzzy Systems (1 paper)
- Partner nations
- ChinaUnited StatesIceland
In The Last Decade
Ting Lu
89 papers receiving 2.2k citations
Ting Lu's Hit Papers
Peers
Comparison fields: 5 of 109
- Media Technology 1.4k
- Atmospheric Science 755
- Computer Vision and Pattern Recognition 642
- Computational Mathematics 13
- Computational Mechanics 371
Countries citing papers authored by Ting Lu
This map shows the geographic impact of Ting Lu'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 Ting Lu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ting Lu more than expected).
Fields of papers citing papers by Ting Lu
This network shows the impact of papers produced by Ting Lu. 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 Ting Lu. The network helps show where Ting Lu may publish in the future.
Co-authors
The 25 scholars most cited alongside Ting Lu, 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 97 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Hyperspectral Image Classification With Deep Feature Fusion Network Hit paper breakdown → | 2018 | 470 |
| 2 | 2020 | 151 | |
| 3 | 2019 | 149 | |
| 4 | 2015 | 137 | |
| 5 | 2022 | 118 | |
| 6 | 2021 | 111 | |
| 7 | 2022 | 99 | |
| 8 | 1978 | 77 | |
| 9 | 2017 | 71 | |
| 10 | 2016 | 71 | |
| 11 | 1991 | 63 | |
| 12 | 2016 | 52 | |
| 13 | 2012 | 33 | |
| 14 | 2023 | 33 | |
| 15 | 2020 | 33 | |
| 16 | 1960 | 31 | |
| 17 | 1983 | 29 | |
| 18 | 2020 | 23 | |
| 19 | 1951 | 23 | |
| 20 | 2024 | 22 |
About Ting Lu
Ting Lu is a scholar working on Media Technology, Computational Mechanics, Computer Vision and Pattern Recognition, Atmospheric Science and Aerospace Engineering, having authored 97 papers that have together received 2.2k indexed citations. Recurring topics across this work include Remote-Sensing Image Classification (27 papers), Fluid Dynamics and Turbulent Flows (23 papers), Advanced Image Fusion Techniques (19 papers), Remote Sensing and Land Use (17 papers), Computational Fluid Dynamics and Aerodynamics (13 papers), Fluid Dynamics and Vibration Analysis (10 papers), Image and Signal Denoising Methods (7 papers) and Aluminum Alloys Composites Properties (5 papers). The work is most often cited by research in Media Technology (1.4k citations), Atmospheric Science (755 citations), Computer Vision and Pattern Recognition (642 citations), Computational Mathematics (13 citations) and Computational Mechanics (371 citations). Ting Lu has collaborated with scholars based in China, United States and Iceland. Frequent co-authors include Shutao Li, Leyuan Fang, Weiwei Song, Wei Fu, Jón Atli Benediktsson, Andrew J. Callegari, Ran Cao, Nanjun He, Rupert Klein and Renwei Dian. Their work appears in journals such as IEEE Transactions on Geoscience and Remote Sensing, AIAA Journal, Computers & Fluids, SIAM Journal on Applied Mathematics and Journal of Intelligent & Fuzzy Systems.
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.