Guanghua Gu

732 citations
49 papers · 389 indexed · h-index 10
Topics
Advanced Image and Video Retrieval Techniques (21 papers)Image Retrieval and Classification Techniques (12 papers)EEG and Brain-Computer Interfaces (7 papers)

In The Last Decade

Guanghua Gu

41 papers receiving 381 citations

Peers

Guanghua Gu
Comparison fields: 5 of 70
  • Computer Vision and Pattern Recognition 235
  • Artificial Intelligence 96
  • Cognitive Neuroscience 45
  • Molecular Biology 39
  • Media Technology 37
Replace Xingqun Qi with:
Xingqun Qi China
Sachin Mehta United States
Hyun-Soo Kim South Korea
Tiancheng Shen China
Alec Radford
Sentao Chen China
Shentong Mo United States
Shunren Xia China
Yingchen Yu Singapore
Guanghua Gu relative to Xingqun Qi China Xingqun Qi's profile →
Citations per field
00.5×6.5×
Xingqun Qi · 1×
Citations per year

Countries citing papers authored by Guanghua Gu

Since Specialization
Citations

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

Fields of papers citing papers by Guanghua Gu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Guanghua Gu

This figure shows the co-authorship network connecting the top 25 collaborators of Guanghua Gu. A scholar is included among the top collaborators of Guanghua Gu 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 Guanghua Gu. Guanghua Gu 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
#WorkIndexed citations
1 2
2 0
3 0
4 1
5 3
6 2
7 1
8 35
9 6
10 50
11 9
12 2
13 8
14 0
15 23
16 8
17
Visual Saliency Detection Based Object Recognition.
4
18
Polar Angle Detection and Image Combination Based Leukocyte Segmentation for Overlapping Cell Images
3
19 2
20
Video object segmentation and tracking algorithm based on difference and intersection
0

About Guanghua Gu

Guanghua Gu is a scholar working on Computer Vision and Pattern Recognition, Media Technology and Cognitive Neuroscience, having authored 49 papers that have together received 389 indexed citations. Recurring topics across this work include Advanced Image and Video Retrieval Techniques (21 papers), Image Retrieval and Classification Techniques (12 papers) and EEG and Brain-Computer Interfaces (7 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (235 citations), Media Technology (37 citations) and Artificial Intelligence (96 citations). Guanghua Gu has collaborated with scholars based in China, United States and Singapore. Frequent co-authors include Yao Zhao, Chuangchuang Tan, Shikui Wei, Yunchao Wei, Dong Cui, Zhuoyi Li, Xiaoxiang Chen, Weikang Pan, Huibin Lu and Xiaoli Li. Their work appears in journals such as Expert Systems with Applications, Pattern Recognition and Information Sciences.

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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