Xuran Pan

2.7k citations
16 papers · 1.7k indexed · 4 hit papers · h-index 11

Impact in

Papers in

Xuran Pan

15 papers receiving 1.6k citations

Hit Papers

FLatten Transformer: Vision Transformer using Focused Linear Attention 2023 · 137 citations
1372021202620222024100200300400

Peers

Xuran Pan
Comparison fields: 5 of 115
  • Computer Vision and Pattern Recognition 989
  • Media Technology 313
  • Geology 118
  • Environmental Engineering 173
  • Industrial and Manufacturing Engineering 119
Replace Bo Peng with:
Bo Peng China
Jia-Wang Bian China
Markus Mathias Germany
Peng Wang China
Xiang Bai China
Hongkai Yu United States
Nan Xue China
Wenjie Luo China
Zhenda Xie China
Dingfu Zhou China
Xuran Pan relative to Bo Peng China Bo Peng's profile →
Citations per field
00.5×1.5×2.2×
Bo Peng · 1×
Citations per year

Countries citing papers authored by Xuran Pan

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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.

Border = papers with Xuran Pan Line = papers co-authored together Xuran Pan links everyone, so they are left out of the graph.

All Works

16 of 16 papers shown
#Work
1 20242
2 20244
3 20240
4 202315
5 202356
6
FLatten Transformer: Vision Transformer using Focused Linear Attention
Hit paper breakdown →
2023137
7 20222
8
Vision Transformer with Deformable Attention
Hit paper breakdown →
2022485
9
On the Integration of Self-Attention and Convolution
Hit paper breakdown →
2022329
10 20221
11
3D Object Detection with Pointformer
Hit paper breakdown →
2021303
12 2021100
13 201932
14 2019112
15 201857
16 201829

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.

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