Lingda Wu
Impact in
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- Advanced Vision and Imaging
- Optical measurement and interference techniques
- Advanced Image and Video Retrieval Techniques
- Media Technology top 5%
- Remote-Sensing Image Classification
- Advanced Image Fusion Techniques
Papers in
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- Advanced Vision and Imaging 17
- Data Visualization and Analytics 17
- Advanced Image and Video Retrieval Techniques 17
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- Simulation and Modeling Applications 24
- Co-authors
- Lai Kang (11 shared papers)Yee‐Hong Yang (5 shared papers)Yingmei Wei (9 shared papers)Songyang Lao (5 shared papers)Bing Yang (3 shared papers)Ling Zou (6 shared papers)Yiping Yao (1 shared paper)Shaoliang Peng (1 shared paper)
- Journals
- Electronics (5 papers)Pattern Recognition (3 papers)Remote Sensing (3 papers)IEEE Access (2 papers)Applied Optics (2 papers)
- Partner nations
- ChinaCanadaUnited Kingdom
In The Last Decade
Lingda Wu
97 papers receiving 488 citations
Peers
Comparison fields: 5 of 76
- Computer Vision and Pattern Recognition 297
- Media Technology 105
- Geology 57
- Computer Graphics and Computer-Aided Design 32
- Computational Mathematics 3
Countries citing papers authored by Lingda Wu
This map shows the geographic impact of Lingda Wu'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 Lingda Wu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Lingda Wu more than expected).
Fields of papers citing papers by Lingda Wu
This network shows the impact of papers produced by Lingda Wu. 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 Lingda Wu. The network helps show where Lingda Wu may publish in the future.
Co-authors
The 25 scholars most cited alongside Lingda Wu, 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 119 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2012 | 57 | |
| 2 | 2011 | 43 | |
| 3 | 2013 | 35 | |
| 4 | 2017 | 34 | |
| 5 | 2006 | 28 | |
| 6 | 2020 | 25 | |
| 7 | 2014 | 18 | |
| 8 | 2009 | 12 | |
| 9 | 2013 | 11 | |
| 10 | 2019 | 11 | |
| 11 | 2017 | 10 | |
| 12 | 2013 | 10 | |
| 13 | 2010 | 10 | |
| 14 | 2022 | 9 | |
| 15 | 2019 | 9 | |
| 16 | Research and Development of 3D Modeling | 2008 | 9 |
| 17 | 2016 | 8 | |
| 18 | 2017 | 7 | |
| 19 | 2010 | 7 | |
| 20 | 2019 | 7 |
About Lingda Wu
Lingda Wu is a scholar working on Computer Vision and Pattern Recognition, Control and Systems Engineering, Aerospace Engineering, Media Technology and Computer Graphics and Computer-Aided Design, having authored 119 papers that have together received 523 indexed citations. Recurring topics across this work include Simulation and Modeling Applications (24 papers), Advanced Vision and Imaging (17 papers), Data Visualization and Analytics (17 papers), Advanced Image and Video Retrieval Techniques (17 papers), Advanced Image Fusion Techniques (14 papers), Remote-Sensing Image Classification (13 papers), Computer Graphics and Visualization Techniques (13 papers) and Complex Network Analysis Techniques (12 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (297 citations), Media Technology (105 citations), Geology (57 citations), Computer Graphics and Computer-Aided Design (32 citations) and Computational Mathematics (3 citations). Lingda Wu has collaborated with scholars based in China, Canada and United Kingdom. Frequent co-authors include Lai Kang, Yee‐Hong Yang, Yingmei Wei, Songyang Lao, Bing Yang, Ling Zou, Yiping Yao, Shaoliang Peng, Lili Chen and Liang Bai. Their work appears in journals such as Electronics, Pattern Recognition, Remote Sensing, IEEE Access and Applied Optics.
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.