Lang Nie
Impact in
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- Advanced Image and Video Retrieval Techniques
- Advanced Vision and Imaging
- Advanced Image Processing Techniques
- Advanced Neural Network Applications
- Image Enhancement Techniques
- Image Retrieval and Classification Techniques
- Media Technology top 10%
- Image Processing Techniques and Applications
Papers in
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- Advanced Vision and Imaging 23
- Advanced Image and Video Retrieval Techniques 14
- Optical measurement and interference techniques 7
- Advanced Image Processing Techniques 6
- Image Enhancement Techniques 2
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- Robotics and Sensor-Based Localization 8
- Co-authors
- Chunyu Lin (26 shared papers)Yao Zhao (23 shared papers)Kang Liao (16 shared papers)Shuaicheng Liu (6 shared papers)Meiqin Liu (1 shared paper)Kang Liao (2 shared papers)Yao Zhao (2 shared papers)Chun-Yu Lin (1 shared paper)
In The Last Decade
Lang Nie
25 papers receiving 327 citations
Peers
Comparison fields: 5 of 36
- Computer Vision and Pattern Recognition 283
- Media Technology 37
- Geology 22
- Computer Graphics and Computer-Aided Design 13
- Aerospace Engineering 82
Countries citing papers authored by Lang Nie
This map shows the geographic impact of Lang Nie'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 Lang Nie with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Lang Nie more than expected).
Fields of papers citing papers by Lang Nie
This network shows the impact of papers produced by Lang Nie. 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 Lang Nie. The network helps show where Lang Nie may publish in the future.
Co-authors
The 25 scholars most cited alongside Lang Nie, 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 34 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2020 | 81 | |
| 2 | 2023 | 48 | |
| 3 | 2022 | 37 | |
| 4 | 2021 | 34 | |
| 5 | 2023 | 19 | |
| 6 | 2023 | 13 | |
| 7 | 2023 | 11 | |
| 8 | 2023 | 11 | |
| 9 | 2022 | 11 | |
| 10 | 2021 | 10 | |
| 11 | 2023 | 9 | |
| 12 | 2024 | 7 | |
| 13 | 2024 | 6 | |
| 14 | 2025 | 5 | |
| 15 | 2024 | 5 | |
| 16 | 2023 | 4 | |
| 17 | 2024 | 3 | |
| 18 | 2023 | 3 | |
| 19 | 2022 | 3 | |
| 20 | 2023 | 2 |
About Lang Nie
Lang Nie is a scholar working on Computer Vision and Pattern Recognition, Aerospace Engineering, Media Technology, Computer Graphics and Computer-Aided Design and Molecular Biology, having authored 34 papers that have together received 329 indexed citations. Recurring topics across this work include Advanced Vision and Imaging (23 papers), Advanced Image and Video Retrieval Techniques (14 papers), Robotics and Sensor-Based Localization (8 papers), Optical measurement and interference techniques (7 papers), Image Processing Techniques and Applications (6 papers), Advanced Image Processing Techniques (6 papers), Computer Graphics and Visualization Techniques (3 papers) and Image Enhancement Techniques (2 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (283 citations), Media Technology (37 citations), Geology (22 citations), Computer Graphics and Computer-Aided Design (13 citations) and Aerospace Engineering (82 citations). Lang Nie has collaborated with scholars based in China, Singapore and Hong Kong. Frequent co-authors include Chunyu Lin, Yao Zhao, Kang Liao, Shuaicheng Liu, Meiqin Liu, Kang Liao, Yao Zhao, Chun-Yu Lin, Xin Li and Haoqiang Fan. Their work appears in journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, Journal of Visual Communication and Image Representation, IEEE Transactions on Circuits and Systems for Video Technology, The Visual Computer and Computers & Graphics.
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.