Liyuan Pan
- Computer Vision and Pattern Recognition top 5%
- Media Technology top 5%
- Electrical and Electronic Engineering
- Aerospace Engineering
- Artificial Intelligence
- Co-authors
- Miaomiao LiuRichard HartleyYuchao DaiFatih PorikliHongdong LiHongguang ZhangYan YangLiu Liu
- Topics
- Advanced Image Processing Techniques (8 papers)Image Processing Techniques and Applications (6 papers)Advanced Memory and Neural Computing (4 papers)
- Journals
- SHILAP Revista de lepidopterologíaIEEE Transactions on Pattern Analysis and Machine IntelligencePattern Recognition
- Partner nations
- ChinaAustraliaUnited Kingdom
In The Last Decade
Liyuan Pan
21 papers receiving 224 citations
Peers
Comparison fields: 5 of 42
- Computer Vision and Pattern Recognition 159
- Media Technology 93
- Electrical and Electronic Engineering 47
- Aerospace Engineering 20
- Artificial Intelligence 15
Countries citing papers authored by Liyuan Pan
This map shows the geographic impact of Liyuan Pan'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 Liyuan Pan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Liyuan Pan more than expected).
Fields of papers citing papers by Liyuan Pan
This network shows the impact of papers produced by Liyuan Pan. 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 Liyuan Pan. The network helps show where Liyuan Pan may publish in the future.
Co-authorship network of co-authors of Liyuan Pan
This figure shows the co-authorship network connecting the top 25 collaborators of Liyuan Pan. A scholar is included among the top collaborators of Liyuan Pan 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 Liyuan Pan. Liyuan Pan is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 1 | |
| 3 | 1 | |
| 4 | 2 | |
| 5 | 0 | |
| 6 | 1 | |
| 7 | 1 | |
| 8 | 1 | |
| 9 | 1 | |
| 10 | 2 | |
| 11 | 10 | |
| 12 | 5 | |
| 13 | 14 | |
| 14 | 1 | |
| 15 | 3 | |
| 16 | 12 | |
| 17 | 51 | |
| 18 | 48 | |
| 19 | Bringing Blurry Alive at High Frame-Rate with an Event Camera. | 1 |
| 20 | 39 |
About Liyuan Pan
Liyuan Pan is a scholar working on Media Technology, Computer Vision and Pattern Recognition and Geology, having authored 22 papers that have together received 230 indexed citations. Recurring topics across this work include Advanced Image Processing Techniques (8 papers), Image Processing Techniques and Applications (6 papers) and Advanced Memory and Neural Computing (4 papers). The work is most often cited by research in Media Technology (93 citations), Computer Vision and Pattern Recognition (159 citations) and Acoustics and Ultrasonics (2 citations). Liyuan Pan has collaborated with scholars based in China, Australia and United Kingdom. Frequent co-authors include Miaomiao Liu, Richard Hartley, Yuchao Dai, Fatih Porikli, Hongdong Li, Hongguang Zhang, Yan Yang, Liu Liu, Hao Yang and Wei Liang. Their work appears in journals such as SHILAP Revista de lepidopterología, IEEE Transactions on Pattern Analysis and Machine Intelligence and Pattern Recognition.
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.