Zhong-Dan Lan
- Computer Vision and Pattern Recognition top 2%
- Aerospace Engineering top 5%
- Geology top 5%
- Electrical and Electronic Engineering
- Control and Systems Engineering
- Co-authors
- Long QuanJanusz KonradRoger Mohr
- Topics
- Advanced Vision and Imaging (4 papers)Medical Image Segmentation Techniques (3 papers)Robotics and Sensor-Based Localization (2 papers)
- Journals
- IEEE Transactions on Pattern Analysis and Machine IntelligenceMachine Vision and ApplicationsHAL (Le Centre pour la Communication Scientifique Directe)
- Partner nations
- FranceCanadaUnited States
In The Last Decade
Zhong-Dan Lan
4 papers receiving 431 citations
Peers
Comparison fields: 5 of 47
- Computer Vision and Pattern Recognition 404
- Aerospace Engineering 359
- Geology 65
- Electrical and Electronic Engineering 26
- Control and Systems Engineering 23
Countries citing papers authored by Zhong-Dan Lan
This map shows the geographic impact of Zhong-Dan 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 Zhong-Dan Lan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Zhong-Dan Lan more than expected).
Fields of papers citing papers by Zhong-Dan Lan
This network shows the impact of papers produced by Zhong-Dan 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 Zhong-Dan Lan. The network helps show where Zhong-Dan Lan may publish in the future.
Co-authorship network of co-authors of Zhong-Dan Lan
This figure shows the co-authorship network connecting the top 25 collaborators of Zhong-Dan Lan. A scholar is included among the top collaborators of Zhong-Dan Lan 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 Zhong-Dan Lan. Zhong-Dan Lan is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 11 | |
| 2 | 16 | |
| 3 | 428 | |
| 4 | 6 | |
| 5 | Non-parametric Invariants and Application to Matching | 2 |
| 6 | Direct Linear Sub-Pixel Correlation by Incorporating Neighbour Pixels' Information: a Robust and Precise Matching Method | 1 |
| 7 | Appariement robuste par correlation partielle | 1 |
About Zhong-Dan Lan
Zhong-Dan Lan is a scholar working on Computer Vision and Pattern Recognition, Geology and Aerospace Engineering, having authored 7 papers that have together received 465 indexed citations. Recurring topics across this work include Advanced Vision and Imaging (4 papers), Medical Image Segmentation Techniques (3 papers) and Robotics and Sensor-Based Localization (2 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (404 citations), Aerospace Engineering (359 citations) and Geology (65 citations). Zhong-Dan Lan has collaborated with scholars based in France, Canada and United States. Frequent co-authors include Long Quan, Janusz Konrad and Roger Mohr. Their work appears in journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, Machine Vision and Applications and HAL (Le Centre pour la Communication Scientifique Directe).
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.