Zhongyu Lou
- Computer Vision and Pattern Recognition top 5%
- Artificial Intelligence
- Atomic and Molecular Physics, and Optics
- Biomedical Engineering
- Control and Systems Engineering
- Co-authors
- Theo GeversNinghang HuGwenn EnglebienneBen KröseMarcel P. LucassenThomas BroxJosé M. AlvarezTam Ngoc Nguyen
- Topics
- Genetic diversity and population structure (7 papers)Human Pose and Action Recognition (6 papers)Fish Biology and Ecology Studies (6 papers)
- Journals
- SHILAP Revista de lepidopterologíaIEEE Transactions on Pattern Analysis and Machine IntelligenceIEEE Transactions on Image Processing
- Partner nations
- NetherlandsChinaAustralia
In The Last Decade
Zhongyu Lou
28 papers receiving 329 citations
Peers
Comparison fields: 5 of 72
- Computer Vision and Pattern Recognition 244
- Artificial Intelligence 87
- Atomic and Molecular Physics, and Optics 40
- Biomedical Engineering 25
- Control and Systems Engineering 25
Countries citing papers authored by Zhongyu Lou
This map shows the geographic impact of Zhongyu Lou'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 Zhongyu Lou with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Zhongyu Lou more than expected).
Fields of papers citing papers by Zhongyu Lou
This network shows the impact of papers produced by Zhongyu Lou. 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 Zhongyu Lou. The network helps show where Zhongyu Lou may publish in the future.
Co-authorship network of co-authors of Zhongyu Lou
This figure shows the co-authorship network connecting the top 25 collaborators of Zhongyu Lou. A scholar is included among the top collaborators of Zhongyu Lou 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 Zhongyu Lou. Zhongyu Lou is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 2 | |
| 2 | 0 | |
| 3 | 0 | |
| 4 | 0 | |
| 5 | 3 | |
| 6 | 4 | |
| 7 | DeepUSPS: Deep Robust Unsupervised Saliency Prediction via Self-supervision | 38 |
| 8 | Spatial Clustering in Large Databases Using Packed X-tree | 1 |
| 9 | 11 | |
| 10 | 15 | |
| 11 | 3 | |
| 12 | 4 | |
| 13 | 1 | |
| 14 | 1 | |
| 15 | 5 | |
| 16 | 7 | |
| 17 | 12 | |
| 18 | 0 | |
| 19 | 1 | |
| 20 | 2 |
About Zhongyu Lou
Zhongyu Lou is a scholar working on Computer Vision and Pattern Recognition, Aquatic Science and Nature and Landscape Conservation, having authored 32 papers that have together received 341 indexed citations. Recurring topics across this work include Genetic diversity and population structure (7 papers), Human Pose and Action Recognition (6 papers) and Fish Biology and Ecology Studies (6 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (244 citations), Artificial Intelligence (87 citations) and Aquatic Science (17 citations). Zhongyu Lou has collaborated with scholars based in Netherlands, China and Australia. Frequent co-authors include Theo Gevers, Ninghang Hu, Gwenn Englebienne, Ben Kröse, Marcel P. Lucassen, Thomas Brox, José M. Alvarez, Tam Ngoc Nguyen, Maximilian Dax and Thi Nguyen. Their work appears in journals such as SHILAP Revista de lepidopterología, IEEE Transactions on Pattern Analysis and Machine Intelligence and IEEE Transactions on Image Processing.
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.