Guanghua Gu
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- Advanced Image and Video Retrieval Techniques 21
- Image Retrieval and Classification Techniques 12
- Multimodal Machine Learning Applications 7
- Advanced Neural Network Applications 6
- Visual Attention and Saliency Detection 5
- Media Technology top 10%
- Artificial Intelligence top 10%
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- EEG and Brain-Computer Interfaces 7
- Functional Brain Connectivity Studies 7
- Neural dynamics and brain function 6
- Journals
- Expert Systems with Applications (1 paper)Pattern Recognition (2 papers)Information Sciences (1 paper)
- Partner nations
- ChinaUnited StatesSingapore
In The Last Decade
Guanghua Gu
41 papers receiving 381 citations
Peers
Comparison fields: 5 of 70
- Computer Vision and Pattern Recognition 235
- Media Technology 37
- Artificial Intelligence 96
- Cancer Research 36
- Cognitive Neuroscience 45
Countries citing papers authored by Guanghua Gu
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
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
The 25 scholars most cited alongside Guanghua Gu, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 2 | |
| 2 | 2025 | 0 | |
| 3 | 2025 | 0 | |
| 4 | 2025 | 1 | |
| 5 | 2024 | 3 | |
| 6 | 2024 | 2 | |
| 7 | 2024 | 1 | |
| 8 | 2024 | 35 | |
| 9 | 2023 | 6 | |
| 10 | 2023 | 50 | |
| 11 | 2022 | 9 | |
| 12 | 2022 | 2 | |
| 13 | 2022 | 8 | |
| 14 | 2021 | 0 | |
| 15 | 2021 | 23 | |
| 16 | 2016 | 8 | |
| 17 | Visual Saliency Detection Based Object Recognition. | 2015 | 4 |
| 18 | Polar Angle Detection and Image Combination Based Leukocyte Segmentation for Overlapping Cell Images | 2012 | 3 |
| 19 | 2009 | 2 | |
| 20 | Video object segmentation and tracking algorithm based on difference and intersection | 2004 | 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), EEG and Brain-Computer Interfaces (7 papers), Functional Brain Connectivity Studies (7 papers), Multimodal Machine Learning Applications (7 papers), Neural dynamics and brain function (6 papers), Advanced Neural Network Applications (6 papers) and Visual Attention and Saliency Detection (5 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.