Xiaoxu Feng

1.1k total citations
22 papers, 868 citations indexed

About

Xiaoxu Feng is a scholar working on Computer Vision and Pattern Recognition, Media Technology and Artificial Intelligence. According to data from OpenAlex, Xiaoxu Feng has authored 22 papers receiving a total of 868 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Computer Vision and Pattern Recognition, 9 papers in Media Technology and 4 papers in Artificial Intelligence. Recurrent topics in Xiaoxu Feng's work include Advanced Image and Video Retrieval Techniques (13 papers), Advanced Neural Network Applications (11 papers) and Remote-Sensing Image Classification (8 papers). Xiaoxu Feng is often cited by papers focused on Advanced Image and Video Retrieval Techniques (13 papers), Advanced Neural Network Applications (11 papers) and Remote-Sensing Image Classification (8 papers). Xiaoxu Feng collaborates with scholars based in China, United States and Australia. Xiaoxu Feng's co-authors include Gong Cheng, Junwei Han, Xiwen Yao, Lei Guo, Dong Xu, S. G. Metz, Huanbin Zhou, F. Lu, Catherine Chay and Ming Cheng and has published in prestigious journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, Neuroscience and IEEE Transactions on Geoscience and Remote Sensing.

In The Last Decade

Xiaoxu Feng

19 papers receiving 846 citations

Peers

Xiaoxu Feng
Comparison fields: 5 of 70
  • Computer Vision and Pattern Recognition 538
  • Media Technology 418
  • Artificial Intelligence 159
  • Molecular Biology 126
  • Aerospace Engineering 125
Replace Masashi Nishiyama with:
Masashi Nishiyama Japan
José-Luis Lisani Spain
Jianlong Wang China
Gang Cao China
Zudi Lin United States
Aixuan Li China
Weikai He China
Masashi Nishiyama Japan View profile →
Citations per field, relative to Xiaoxu Feng
Xiaoxu Feng · 1×
Citations per year, relative to Xiaoxu Feng
Xiaoxu Feng · 1×

Countries citing papers authored by Xiaoxu Feng

Since Specialization
Citations

This map shows the geographic impact of Xiaoxu Feng'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 Xiaoxu Feng with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Xiaoxu Feng more than expected).

Fields of papers citing papers by Xiaoxu Feng

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Xiaoxu Feng. 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 Xiaoxu Feng. The network helps show where Xiaoxu Feng may publish in the future.

Co-authorship network of co-authors of Xiaoxu Feng

This figure shows the co-authorship network connecting the top 25 collaborators of Xiaoxu Feng. A scholar is included among the top collaborators of Xiaoxu Feng 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 Xiaoxu Feng. Xiaoxu Feng is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
# Work Indexed citations
1 0
2 1
3 0
4 0
5 1
6 7
7 16
8 3
9 18
10 42
11 31
12 67
13 30
14 94
15 142
16 94
17 99
18 4
19 45
20 132

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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