Long Yang
Impact in
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- Computer Graphics and Visualization Techniques
- Geology top 10%
- 3D Surveying and Cultural Heritage
Papers in
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- Advanced Vision and Imaging 6
- Optical measurement and interference techniques 4
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- 3D Shape Modeling and Analysis 6
- Advanced Numerical Analysis Techniques 3
- Co-authors
- Chunxia Xiao (6 shared papers)Qingan Yan (4 shared papers)Yun Hu (1 shared paper)Jing Huang (1 shared paper)Cheng Zhu (1 shared paper)Wei Hong (1 shared paper)Lichao Ge (1 shared paper)Qian Li (1 shared paper)
- Journals
- IEEE Transactions on Visualization and Computer Graphics (3 papers)Scientific Data (2 papers)Sensors (2 papers)Frontiers in Earth Science (1 paper)IEEE Robotics and Automation Letters (1 paper)
- Partner nations
- ChinaHong KongUnited States
In The Last Decade
Long Yang
39 papers receiving 388 citations
Peers
Comparison fields: 5 of 89
- Computer Graphics and Computer-Aided Design 39
- Geology 48
- Computer Vision and Pattern Recognition 138
- Fuel Technology 5
- Nuclear Energy and Engineering 2
Countries citing papers authored by Long Yang
This map shows the geographic impact of Long Yang'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 Long Yang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Long Yang more than expected).
Fields of papers citing papers by Long Yang
This network shows the impact of papers produced by Long Yang. 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 Long Yang. The network helps show where Long Yang may publish in the future.
Co-authors
The 25 scholars most cited alongside Long Yang, 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 47 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2018 | 71 | |
| 2 | 2022 | 34 | |
| 3 | 2022 | 30 | |
| 4 | 2017 | 27 | |
| 5 | 2016 | 25 | |
| 6 | 2017 | 23 | |
| 7 | 2023 | 23 | |
| 8 | 2021 | 21 | |
| 9 | 2023 | 16 | |
| 10 | 2022 | 15 | |
| 11 | 2022 | 14 | |
| 12 | 2021 | 10 | |
| 13 | 2021 | 7 | |
| 14 | 2024 | 6 | |
| 15 | 2023 | 6 | |
| 16 | 2014 | 6 | |
| 17 | 2023 | 6 | |
| 18 | 2016 | 5 | |
| 19 | 2022 | 5 | |
| 20 | 2014 | 5 |
About Long Yang
Long Yang is a scholar working on Computer Vision and Pattern Recognition, Computational Mechanics, Aerospace Engineering, Computer Graphics and Computer-Aided Design and Biomedical Engineering, having authored 47 papers that have together received 395 indexed citations. Recurring topics across this work include 3D Shape Modeling and Analysis (6 papers), Advanced Vision and Imaging (6 papers), Computer Graphics and Visualization Techniques (5 papers), Robotics and Sensor-Based Localization (5 papers), Optical measurement and interference techniques (4 papers), Advanced Numerical Analysis Techniques (3 papers), Advanced Antenna and Metasurface Technologies (2 papers) and Plant-Microbe Interactions and Immunity (2 papers). The work is most often cited by research in Computer Graphics and Computer-Aided Design (39 citations), Geology (48 citations), Computer Vision and Pattern Recognition (138 citations), Fuel Technology (5 citations) and Nuclear Energy and Engineering (2 citations). Long Yang has collaborated with scholars based in China, Hong Kong and United States. Frequent co-authors include Chunxia Xiao, Qingan Yan, Yun Hu, Jing Huang, Cheng Zhu, Wei Hong, Lichao Ge, Qian Li, Tianhong Zhou and Yang Wang. Their work appears in journals such as IEEE Transactions on Visualization and Computer Graphics, Scientific Data, Sensors, Frontiers in Earth Science and IEEE Robotics and Automation 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.