Xiaopeng Guo

945 total citations
27 papers, 642 citations indexed

About

Xiaopeng Guo is a scholar working on Computer Vision and Pattern Recognition, Media Technology and Signal Processing. According to data from OpenAlex, Xiaopeng Guo has authored 27 papers receiving a total of 642 indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Computer Vision and Pattern Recognition, 11 papers in Media Technology and 5 papers in Signal Processing. Recurrent topics in Xiaopeng Guo's work include Image Enhancement Techniques (10 papers), Advanced Image Fusion Techniques (9 papers) and Advanced Image Processing Techniques (5 papers). Xiaopeng Guo is often cited by papers focused on Image Enhancement Techniques (10 papers), Advanced Image Fusion Techniques (9 papers) and Advanced Image Processing Techniques (5 papers). Xiaopeng Guo collaborates with scholars based in China and Hong Kong. Xiaopeng Guo's co-authors include Rencan Nie, Jinde Cao, Dongming Zhou, Huaguang Li, Kangjian He, Liye Mei, Tao Luo, Xiaoxiao Li, Xiang Wang and Jun Sun and has published in prestigious journals such as IEEE Transactions on Image Processing, Optics Letters and Neural Computation.

In The Last Decade

Xiaopeng Guo

26 papers receiving 619 citations

Peers

Xiaopeng Guo
Comparison fields: 5 of 56
  • Computer Vision and Pattern Recognition 439
  • Media Technology 423
  • Biomedical Engineering 86
  • Artificial Intelligence 68
  • Aerospace Engineering 45
Replace Vardan Papyan with:
Vardan Papyan United States
Yi Tang China
Yue Que China
Wujing Li China
Sheng Guo China
Chunwei Tian China
Samuel Schulter United States
Heba M. El‐Hoseny Egypt
Ruizhi Qiao China
David Ferstl Austria
Vardan Papyan United States View profile →
Citations per field, relative to Xiaopeng Guo
Xiaopeng Guo · 1×
Citations per year, relative to Xiaopeng Guo
Xiaopeng Guo · 1×

Countries citing papers authored by Xiaopeng Guo

Since Specialization
Citations

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

Fields of papers citing papers by Xiaopeng Guo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Xiaopeng Guo

This figure shows the co-authorship network connecting the top 25 collaborators of Xiaopeng Guo. A scholar is included among the top collaborators of Xiaopeng Guo 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 Xiaopeng Guo. Xiaopeng Guo 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 1
2 1
3 11
4 14
5 5
6 19
7 35
8 39
9 20
10 8
11 14
12 145
13 45
14 8
15 157
16 22
17 2
18 0
19 1
20 1

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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