Xuran Pan
Impact in
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- Advanced Neural Network Applications
- Advanced Image and Video Retrieval Techniques
- Video Surveillance and Tracking Methods
- Media Technology top 1%
- Remote-Sensing Image Classification
Papers in
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- Advanced Neural Network Applications 12
- Advanced Image and Video Retrieval Techniques 3
- Multimodal Machine Learning Applications 3
- Visual Attention and Saliency Detection 2
- Geology 2
Xuran Pan
15 papers receiving 1.6k citations
Hit Papers
Peers
Comparison fields: 5 of 115
- Computer Vision and Pattern Recognition 989
- Media Technology 313
- Geology 118
- Environmental Engineering 173
- Industrial and Manufacturing Engineering 119
Countries citing papers authored by Xuran Pan
This map shows the geographic impact of Xuran 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 Xuran Pan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Xuran Pan more than expected).
Fields of papers citing papers by Xuran Pan
This network shows the impact of papers produced by Xuran 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 Xuran Pan. The network helps show where Xuran Pan may publish in the future.
Co-authors
The 25 scholars most cited alongside Xuran Pan, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2024 | 2 | |
| 2 | 2024 | 4 | |
| 3 | 2024 | 0 | |
| 4 | 2023 | 15 | |
| 5 | 2023 | 56 | |
| 6 | FLatten Transformer: Vision Transformer using Focused Linear Attention Hit paper breakdown → | 2023 | 137 |
| 7 | 2022 | 2 | |
| 8 | Vision Transformer with Deformable Attention Hit paper breakdown → | 2022 | 485 |
| 9 | On the Integration of Self-Attention and Convolution Hit paper breakdown → | 2022 | 329 |
| 10 | 2022 | 1 | |
| 11 | 3D Object Detection with Pointformer Hit paper breakdown → | 2021 | 303 |
| 12 | 2021 | 100 | |
| 13 | 2019 | 32 | |
| 14 | 2019 | 112 | |
| 15 | 2018 | 57 | |
| 16 | 2018 | 29 |
About Xuran Pan
Xuran Pan is a scholar working on Computer Vision and Pattern Recognition, Geology, Environmental Engineering, Artificial Intelligence and Media Technology, having authored 16 papers that have together received 1.7k indexed citations. Recurring topics across this work include Advanced Neural Network Applications (12 papers), Domain Adaptation and Few-Shot Learning (4 papers), Advanced Memory and Neural Computing (3 papers), Advanced Image and Video Retrieval Techniques (3 papers), Multimodal Machine Learning Applications (3 papers), Remote Sensing and LiDAR Applications (3 papers), CCD and CMOS Imaging Sensors (2 papers) and Visual Attention and Saliency Detection (2 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (989 citations), Media Technology (313 citations), Geology (118 citations), Environmental Engineering (173 citations) and Industrial and Manufacturing Engineering (119 citations). Xuran Pan has collaborated with scholars based in China, United States and Belgium. Frequent co-authors include Gao Huang, Shiji Song, Zhuofan Xia, Li Erran Li, Shiji Song, Rui Lü, Zeyi Huang, Guan-Fu Chen, Chunjiang Ge and Bing Zhang. Their work appears in journals such as Remote Sensing, Sensors, Neurocomputing, Pattern Recognition and Applied Intelligence.
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.