Xiaofeng Wang

1.7k citations
123 papers · 1.2k · h-index 19

Impact in

    • Medical Image Segmentation Techniques
    • Advanced Neural Network Applications
    • Advanced Image and Video Retrieval Techniques
    • Image and Object Detection Techniques
    • Video Surveillance and Tracking Methods
    • Remote-Sensing Image Classification

Papers in

Xiaofeng Wang

111 papers receiving 1.1k citations

Peers

Xiaofeng Wang
Comparison fields: 5 of 122
  • Computer Vision and Pattern Recognition 588
  • Media Technology 186
  • Computational Mechanics 128
  • Analytical Chemistry 55
  • Signal Processing 64
Replace Morium Akter with:
Morium Akter Bangladesh
Umme Sara Bangladesh
Hong Chen China
Antoine Vacavant France
Xiao Chen China
C. H. Chen United States
Salvatore Tabbone France
Yambem Jina Chanu India
Kewen Xia China
Xiaofeng Wang relative to Morium Akter Bangladesh Morium Akter's profile →
Citations per field
00.5×10×15×19.5×
Morium Akter · 1×
Citations per year

Countries citing papers authored by Xiaofeng Wang

Since Specialization
Citations

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

Fields of papers citing papers by Xiaofeng Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Xiaofeng Wang, 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 Xiaofeng Wang Line = papers co-authored together Xiaofeng Wang links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 123 papers — load more, or switch the sort, to bring in the rest.

#Work
1 202386
2 201476
3 202171
4 200571
5 202239
6 201839
7 200836
8 201933
9 201130
10 202024
11 202222
12 201522
13 202421
14 201221
15 200920
16 202220
17 202319
18 202419
19 201219
20 201218

About Xiaofeng Wang

Xiaofeng Wang is a scholar working on Computer Vision and Pattern Recognition, Computational Mechanics, Media Technology, Artificial Intelligence and Control and Systems Engineering, having authored 123 papers that have together received 1.2k indexed citations. Recurring topics across this work include Medical Image Segmentation Techniques (23 papers), Advanced Neural Network Applications (23 papers), Advanced Image and Video Retrieval Techniques (16 papers), Video Surveillance and Tracking Methods (14 papers), Image and Object Detection Techniques (12 papers), Remote-Sensing Image Classification (9 papers), Advanced Vision and Imaging (8 papers) and Image Processing Techniques and Applications (7 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (588 citations), Media Technology (186 citations), Computational Mechanics (128 citations), Analytical Chemistry (55 citations) and Signal Processing (64 citations). Xiaofeng Wang has collaborated with scholars based in China, Macao and Canada. Frequent co-authors include Le Zou, Ji‐Xiang Du, Guojun Zhang, Song Wang, Hai Min, Zhize Wu, Lixiang Xu, Wei Jia, Rong-Xiang Hu and Lai Wei. Their work appears in journals such as Neurocomputing, Pattern Recognition, Remote Sensing, IEEE Access and Lecture notes in computer science.

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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