Lijie Fan
- Computer Vision and Pattern Recognition top 2%
- Artificial Intelligence top 5%
- Biomedical Engineering
- Electrical and Electronic Engineering
- Aerospace Engineering
- Co-authors
- Dina KatabiTianhong LiWenbing HuangChuang GanJunzhou HuangBoqing GongStefano ErmonYuan Yuan
- Topics
- Human Pose and Action Recognition (4 papers)Advanced SAR Imaging Techniques (3 papers)Video Surveillance and Tracking Methods (3 papers)
- Partner nations
- United StatesChinaAustralia
In The Last Decade
Lijie Fan
19 papers receiving 556 citations
Peers
Comparison fields: 5 of 82
- Computer Vision and Pattern Recognition 369
- Artificial Intelligence 229
- Biomedical Engineering 143
- Electrical and Electronic Engineering 88
- Aerospace Engineering 55
Countries citing papers authored by Lijie Fan
This map shows the geographic impact of Lijie Fan'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 Lijie Fan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Lijie Fan more than expected).
Fields of papers citing papers by Lijie Fan
This network shows the impact of papers produced by Lijie Fan. 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 Lijie Fan. The network helps show where Lijie Fan may publish in the future.
Co-authorship network of co-authors of Lijie Fan
This figure shows the co-authorship network connecting the top 25 collaborators of Lijie Fan. A scholar is included among the top collaborators of Lijie Fan 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 Lijie Fan. Lijie Fan 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 | 5 | |
| 3 | 10 | |
| 4 | 5 | |
| 5 | 108 | |
| 6 | 38 | |
| 7 | 3 | |
| 8 | 76 | |
| 9 | 22 | |
| 10 | 93 | |
| 11 | 28 | |
| 12 | 149 | |
| 13 | Efficient optimization for linear dynamical systems with applications to clustering and sparse coding | 4 |
| 14 | [The Study on the Far-FTIR and THz Spectra of Azitromycin Drugs with Different Physical Forms]. | 1 |
| 15 | 11 | |
| 16 | 5 | |
| 17 | 7 | |
| 18 | 6 | |
| 19 | 1 |
About Lijie Fan
Lijie Fan is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Biophysics, having authored 19 papers that have together received 574 indexed citations. Recurring topics across this work include Human Pose and Action Recognition (4 papers), Advanced SAR Imaging Techniques (3 papers) and Video Surveillance and Tracking Methods (3 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (369 citations), Artificial Intelligence (229 citations) and Human-Computer Interaction (36 citations). Lijie Fan has collaborated with scholars based in United States, China and Australia. Frequent co-authors include Dina Katabi, Tianhong Li, Wenbing Huang, Chuang Gan, Junzhou Huang, Boqing Gong, Stefano Ermon, Yuan Yuan, Yingcheng Liu and M. Zhao. Their work appears in journals such as IEEE Transactions on Image Processing, Heliyon and Science China Information Sciences.
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.