Lili Pan
- Computer Vision and Pattern Recognition top 2%
- Artificial Intelligence top 5%
- Signal Processing top 5%
- Media Technology top 5%
- Computer Networks and Communications top 10%
- Topics
- Domain Adaptation and Few-Shot Learning (11 papers)Biometric Identification and Security (7 papers)Advanced Image and Video Retrieval Techniques (7 papers)
- Journals
- SHILAP Revista de lepidopterologíaGeochimica et Cosmochimica ActaDiabetes
- Partner nations
- ChinaUnited StatesCanada
In The Last Decade
Lili Pan
66 papers receiving 947 citations
Hit Papers
Peers
Comparison fields: 5 of 128
- Computer Vision and Pattern Recognition 521
- Artificial Intelligence 435
- Signal Processing 109
- Media Technology 85
- Computer Networks and Communications 79
Countries citing papers authored by Lili Pan
This map shows the geographic impact of Lili 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 Lili Pan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Lili Pan more than expected).
Fields of papers citing papers by Lili Pan
This network shows the impact of papers produced by Lili 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 Lili Pan. The network helps show where Lili Pan may publish in the future.
Co-authorship network of co-authors of Lili Pan
This figure shows the co-authorship network connecting the top 25 collaborators of Lili Pan. A scholar is included among the top collaborators of Lili 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 Lili Pan. Lili 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 | 0 | |
| 2 | 0 | |
| 3 | 2 | |
| 4 | 0 | |
| 5 | 1 | |
| 6 | 7 | |
| 7 | 12 | |
| 8 | 3 | |
| 9 | 9 | |
| 10 | 2 | |
| 11 | 4 | |
| 12 | 41 | |
| 13 | 8 | |
| 14 | 6 | |
| 15 | 22 | |
| 16 | 46,XY Gonadal Dysgenesis Accompanied by Neuropathy Caused by a DHH Mutation | 1 |
| 17 | An Image Retrieval Algorithm Based on Gist and Sift Features. | 6 |
| 18 | 5 | |
| 19 | Detection value of anti-cyclic citrullinated peptide antibody in early diagnosis in patients with rheumatoid arthritis | 1 |
| 20 | Facial Tracking by Gaussian Process | 5 |
About Lili Pan
Lili Pan is a scholar working on Computer Vision and Pattern Recognition, Software and Signal Processing, having authored 78 papers that have together received 996 indexed citations. Recurring topics across this work include Domain Adaptation and Few-Shot Learning (11 papers), Biometric Identification and Security (7 papers) and Advanced Image and Video Retrieval Techniques (7 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (521 citations), Artificial Intelligence (435 citations) and Computational Mathematics (8 citations). Lili Pan has collaborated with scholars based in China, United States and Canada. Frequent co-authors include Yazhou Ren, Zenglin Xu, Jie Xu, Guofeng Li, Ce Zhu, Xiaorong Pu, Xinyi Dai, Steven C. H. Hoi, Mei Xie and Yang Yang. Their work appears in journals such as SHILAP Revista de lepidopterología, Geochimica et Cosmochimica Acta and Diabetes.
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.