Meng Lan
Impact in
- Media Technology top 2%
- Remote-Sensing Image Classification
- Advanced Image Fusion Techniques
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- Advanced Image and Video Retrieval Techniques
- Advanced Neural Network Applications
Papers in
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- Advanced Neural Network Applications 4
- Advanced Image and Video Retrieval Techniques 3
- Advanced Steganography and Watermarking Techniques 2
- Visual Attention and Saliency Detection 2
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- Infrastructure Maintenance and Monitoring 2
- Co-authors
- Lefei Zhang (8 shared papers)Dacheng Tao (2 shared papers)Jing Zhang (2 shared papers)Bo Du (2 shared papers)Yipeng Zhang (2 shared papers)Jing Zhang (1 shared paper)Fengxiang He (1 shared paper)Hongying Yang (2 shared papers)
In The Last Decade
Meng Lan
13 papers receiving 375 citations
Peers
Comparison fields: 5 of 55
- Media Technology 193
- Computer Vision and Pattern Recognition 200
- Ocean Engineering 71
- Environmental Engineering 58
- Computational Mathematics 2
Countries citing papers authored by Meng Lan
This map shows the geographic impact of Meng Lan'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 Meng Lan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Meng Lan more than expected).
Fields of papers citing papers by Meng Lan
This network shows the impact of papers produced by Meng Lan. 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 Meng Lan. The network helps show where Meng Lan may publish in the future.
Co-authors
The 22 scholars most cited alongside Meng Lan, 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 | 2021 | 152 | |
| 2 | 2020 | 123 | |
| 3 | 2022 | 24 | |
| 4 | 2018 | 18 | |
| 5 | 2024 | 18 | |
| 6 | 2023 | 17 | |
| 7 | 2010 | 8 | |
| 8 | 2009 | 7 | |
| 9 | 2020 | 5 | |
| 10 | 2024 | 4 | |
| 11 | 2024 | 4 | |
| 12 | 2024 | 2 | |
| 13 | 2024 | 1 |
About Meng Lan
Meng Lan is a scholar working on Computer Vision and Pattern Recognition, Civil and Structural Engineering, Ocean Engineering, Control and Systems Engineering and Media Technology, having authored 13 papers that have together received 383 indexed citations. Recurring topics across this work include Advanced Neural Network Applications (4 papers), Advanced Image and Video Retrieval Techniques (3 papers), Automated Road and Building Extraction (3 papers), Infrastructure Maintenance and Monitoring (2 papers), Remote Sensing and LiDAR Applications (2 papers), Machine Fault Diagnosis Techniques (2 papers), Advanced Steganography and Watermarking Techniques (2 papers) and Visual Attention and Saliency Detection (2 papers). The work is most often cited by research in Media Technology (193 citations), Computer Vision and Pattern Recognition (200 citations), Ocean Engineering (71 citations), Environmental Engineering (58 citations) and Computational Mathematics (2 citations). Meng Lan has collaborated with scholars based in China, Australia and Hong Kong. Frequent co-authors include Lefei Zhang, Dacheng Tao, Jing Zhang, Bo Du, Yipeng Zhang, Jing Zhang, Fengxiang He, Hongying Yang, Xiangyang Wang and Hongzan Jiao. Their work appears in journals such as IEEE Transactions on Geoscience and Remote Sensing, Multimedia Tools and Applications, Pattern Recognition, Sensors and Journal of the Franklin Institute.
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.