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 Retrieval and Classification Techniques
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- 3D Surveying and Cultural Heritage
Papers in
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- Advanced Vision and Imaging 21
- Advanced Image and Video Retrieval Techniques 11
- Advanced Image Processing Techniques 6
- Optical measurement and interference techniques 6
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- Robotics and Sensor-Based Localization 7
- Co-authors
- Chunyu Lin (23 shared papers)Yao Zhao (21 shared papers)Kang Liao (15 shared papers)Shuaicheng Liu (6 shared papers)Meiqin Liu (1 shared paper)Kang Liao (2 shared papers)Chun-Yu Lin (1 shared paper)Yao Zhao (2 shared papers)
In The Last Decade
Lang Nie
23 papers receiving 283 citations
Peers
Comparison fields: 5 of 34
- Computer Vision and Pattern Recognition 251
- Geology 20
- Computer Graphics and Computer-Aided Design 12
- Media Technology 30
- Aerospace Engineering 74
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 29 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2020 | 76 | |
| 2 | 2023 | 40 | |
| 3 | 2022 | 36 | |
| 4 | 2021 | 30 | |
| 5 | 2023 | 17 | |
| 6 | 2023 | 12 | |
| 7 | 2023 | 11 | |
| 8 | 2023 | 10 | |
| 9 | 2021 | 9 | |
| 10 | 2022 | 8 | |
| 11 | 2023 | 7 | |
| 12 | 2024 | 5 | |
| 13 | 2024 | 5 | |
| 14 | 2024 | 3 | |
| 15 | 2023 | 3 | |
| 16 | 2023 | 2 | |
| 17 | 2025 | 2 | |
| 18 | 2023 | 2 | |
| 19 | 2024 | 2 | |
| 20 | 2022 | 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 29 papers that have together received 285 indexed citations. Recurring topics across this work include Advanced Vision and Imaging (21 papers), Advanced Image and Video Retrieval Techniques (11 papers), Robotics and Sensor-Based Localization (7 papers), Image Processing Techniques and Applications (6 papers), Advanced Image Processing Techniques (6 papers), Optical measurement and interference techniques (6 papers), Computer Graphics and Visualization Techniques (3 papers) and Radio Frequency Integrated Circuit Design (2 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (251 citations), Geology (20 citations), Computer Graphics and Computer-Aided Design (12 citations), Media Technology (30 citations) and Aerospace Engineering (74 citations). Lang Nie has collaborated with scholars based in China, Singapore and Australia. Frequent co-authors include Chunyu Lin, Yao Zhao, Kang Liao, Shuaicheng Liu, Meiqin Liu, Kang Liao, Chun-Yu Lin, Yao Zhao, Xin Li and Fan Yang. 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, Forests and Computational Visual Media.
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.