Shuchang Lyu
- Computer Vision and Pattern Recognition top 1%
- Aerospace Engineering top 2%
- Media Technology top 1%
- Artificial Intelligence top 5%
- Industrial and Manufacturing Engineering top 2%
- Co-authors
- Qi ZhaoXu WangXingkui ZhuBinghao LiuWenquan FengHongbo ZhaoHong ZhangLijiang Chen
- Topics
- Advanced Neural Network Applications (16 papers)Domain Adaptation and Few-Shot Learning (11 papers)Multimodal Machine Learning Applications (8 papers)
- Cited by
- Computer Vision and Pattern RecognitionMedia TechnologyIndustrial and Manufacturing Engineering
- Partner nations
- ChinaUnited KingdomSingapore
In The Last Decade
Shuchang Lyu
27 papers receiving 1.7k citations
Hit Papers
Peers
Comparison fields: 5 of 114
- Computer Vision and Pattern Recognition 1.1k
- Aerospace Engineering 453
- Media Technology 290
- Artificial Intelligence 213
- Industrial and Manufacturing Engineering 210
Countries citing papers authored by Shuchang Lyu
This map shows the geographic impact of Shuchang Lyu'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 Shuchang Lyu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Shuchang Lyu more than expected).
Fields of papers citing papers by Shuchang Lyu
This network shows the impact of papers produced by Shuchang Lyu. 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 Shuchang Lyu. The network helps show where Shuchang Lyu may publish in the future.
Co-authorship network of co-authors of Shuchang Lyu
This figure shows the co-authorship network connecting the top 25 collaborators of Shuchang Lyu. A scholar is included among the top collaborators of Shuchang Lyu based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Shuchang Lyu. Shuchang Lyu is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 0 | |
| 3 | 0 | |
| 4 | 1 | |
| 5 | 6 | |
| 6 | 2 | |
| 7 | 8 | |
| 8 | Change Detection Methods for Remote Sensing in the Last Decade: A Comprehensive Reviewbreakdown → | 78 |
| 9 | 6 | |
| 10 | 0 | |
| 11 | 3 | |
| 12 | 17 | |
| 13 | 9 | |
| 14 | 71 | |
| 15 | 4 | |
| 16 | 6 | |
| 17 | 26 | |
| 18 | 1 | |
| 19 | 22 | |
| 20 | 15 |
About Shuchang Lyu
Shuchang Lyu is a scholar working on Computer Vision and Pattern Recognition, Media Technology and Artificial Intelligence, having authored 32 papers that have together received 1.7k indexed citations. Recurring topics across this work include Advanced Neural Network Applications (16 papers), Domain Adaptation and Few-Shot Learning (11 papers) and Multimodal Machine Learning Applications (8 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (1.1k citations), Media Technology (290 citations) and Industrial and Manufacturing Engineering (210 citations). Shuchang Lyu has collaborated with scholars based in China, United Kingdom and Singapore. Frequent co-authors include Qi Zhao, Xu Wang, Xingkui Zhu, Binghao Liu, Wenquan Feng, Hongbo Zhao, Hong Zhang, Lijiang Chen, Guangliang Cheng and Xiangtai Li. Their work appears in journals such as IEEE Transactions on Geoscience and Remote Sensing, Pattern Recognition and Remote Sensing.
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.