Yang Long
Impact in
- Media Technology top 0.2%
- Remote-Sensing Image Classification
- Advanced Image Fusion Techniques
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- Advanced Neural Network Applications
- Advanced Image and Video Retrieval Techniques
- Video Surveillance and Tracking Methods
Papers in
-
- Advanced Neural Network Applications 5
- Advanced Image and Video Retrieval Techniques 5
- Video Surveillance and Tracking Methods 3
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- Remote-Sensing Image Classification 5
- Co-authors
- Gui-Song Xia (3 shared papers)Qikai Lu (1 shared paper)Jian Ding (1 shared paper)Nan Xue (1 shared paper)Zhifeng Xiao (3 shared papers)Yiping Gong (2 shared papers)Qing Liu (1 shared paper)Deren Li (4 shared papers)
- Journals
- Remote Sensing (2 papers)Journal of Hydrology (1 paper)Computer Graphics Forum (1 paper)Agronomy (1 paper)IEEE Geoscience and Remote Sensing Letters (1 paper)
- Partner nations
- ChinaAustraliaNetherlands
In The Last Decade
Yang Long
15 papers receiving 1.9k citations
Yang Long's Hit Papers
Peers
Comparison fields: 5 of 90
- Media Technology 947
- Computer Vision and Pattern Recognition 1.5k
- Aerospace Engineering 582
- Ocean Engineering 171
- Environmental Engineering 139
Countries citing papers authored by Yang Long
This map shows the geographic impact of Yang 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 Yang Long with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yang Long more than expected).
Fields of papers citing papers by Yang Long
This network shows the impact of papers produced by Yang 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 Yang Long. The network helps show where Yang Long may publish in the future.
Co-authors
The 25 scholars most cited alongside Yang 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 | Learning RoI Transformer for Oriented Object Detection in Aerial Images Hit paper breakdown → | 2019 | 1013 |
| 2 | Accurate Object Localization in Remote Sensing Images Based on Convolutional Neural Networks Hit paper breakdown → | 2017 | 633 |
| 3 | 2021 | 154 | |
| 4 | 2017 | 64 | |
| 5 | 2017 | 55 | |
| 6 | 2016 | 23 | |
| 7 | 2024 | 4 | |
| 8 | 2021 | 4 | |
| 9 | 2022 | 4 | |
| 10 | 2023 | 3 | |
| 11 | 2022 | 2 | |
| 12 | 2023 | 1 | |
| 13 | 2023 | 1 | |
| 14 | 2023 | 1 | |
| 15 | 2020 | 1 | |
| 16 | 2025 | 0 | |
| 17 | 2024 | 0 | |
| 18 | 2025 | 0 |
About Yang Long
Yang Long is a scholar working on Computer Vision and Pattern Recognition, Media Technology, Aerospace Engineering, Artificial Intelligence and Atmospheric Science, having authored 18 papers that have together received 2.0k indexed citations. Recurring topics across this work include Advanced Neural Network Applications (5 papers), Remote-Sensing Image Classification (5 papers), Advanced Image and Video Retrieval Techniques (5 papers), Robotics and Sensor-Based Localization (3 papers), Video Surveillance and Tracking Methods (3 papers), Infrared Target Detection Methodologies (3 papers), Natural Language Processing Techniques (1 paper) and Caching and Content Delivery (1 paper). The work is most often cited by research in Media Technology (947 citations), Computer Vision and Pattern Recognition (1.5k citations), Aerospace Engineering (582 citations), Ocean Engineering (171 citations) and Environmental Engineering (139 citations). Yang Long has collaborated with scholars based in China, Australia and Netherlands. Frequent co-authors include Gui-Song Xia, Qikai Lu, Jian Ding, Nan Xue, Zhifeng Xiao, Yiping Gong, Qing Liu, Deren Li, Liangpei Zhang and Wen Yang. Their work appears in journals such as Remote Sensing, Journal of Hydrology, Computer Graphics Forum, Agronomy and IEEE Geoscience and Remote Sensing 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.