Guohua Peng
- Computer Vision and Pattern Recognition top 5%
- Computational Mechanics
- Artificial Intelligence
- Media Technology top 5%
- Mechanical Engineering
- Co-authors
- Bernard De BaetsChen WangZhengge HuangJingjing CuiSi ChenXingshi HeXin‐She YangWeijie Song
- Topics
- Advanced Image and Video Retrieval Techniques (15 papers)Visual Attention and Saliency Detection (9 papers)Advanced Numerical Analysis Techniques (9 papers)
In The Last Decade
Guohua Peng
56 papers receiving 331 citations
Peers
Comparison fields: 5 of 77
- Computer Vision and Pattern Recognition 171
- Computational Mechanics 62
- Artificial Intelligence 60
- Media Technology 59
- Mechanical Engineering 42
Countries citing papers authored by Guohua Peng
This map shows the geographic impact of Guohua Peng'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 Guohua Peng with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Guohua Peng more than expected).
Fields of papers citing papers by Guohua Peng
This network shows the impact of papers produced by Guohua Peng. 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 Guohua Peng. The network helps show where Guohua Peng may publish in the future.
Co-authorship network of co-authors of Guohua Peng
This figure shows the co-authorship network connecting the top 25 collaborators of Guohua Peng. A scholar is included among the top collaborators of Guohua Peng 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 Guohua Peng. Guohua Peng is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 19 | |
| 3 | 6 | |
| 4 | 22 | |
| 5 | 12 | |
| 6 | 5 | |
| 7 | 7 | |
| 8 | Evaluation method of image fusion based on multi-scale PSNR | 3 |
| 9 | 1 | |
| 10 | Fast Algorithm for Image Matching Based onNCC | 0 |
| 11 | 0 | |
| 12 | 2 | |
| 13 | Facial Expression Classification Based on Statistical Study | 1 |
| 14 | Adaptive super-resolution image restoration based on regularization in spatial domain | 1 |
| 15 | An Efficient Approach to Image Binarization | 2 |
| 16 | The Research and Application of One Improved Histogram Equalization Algorithm | 4 |
| 17 | A Method for 3D Reconstruction Based on Photometric Stereo Image | 0 |
| 18 | 1 | |
| 19 | On Research Distribution of Artesian Oil Well In Two Kinds of Distance | 0 |
| 20 | 11 |
About Guohua Peng
Guohua Peng is a scholar working on Computational Mathematics, Computer Vision and Pattern Recognition and Media Technology, having authored 65 papers that have together received 351 indexed citations. Recurring topics across this work include Advanced Image and Video Retrieval Techniques (15 papers), Visual Attention and Saliency Detection (9 papers) and Advanced Numerical Analysis Techniques (9 papers). The work is most often cited by research in Computational Mathematics (12 citations), Computer Vision and Pattern Recognition (171 citations) and Media Technology (59 citations). Guohua Peng has collaborated with scholars based in China, Canada and Belgium. Frequent co-authors include Bernard De Baets, Chen Wang, Zhengge Huang, Chen Wang, Jingjing Cui, Si Chen, Xingshi He, Xin‐She Yang, Weijie Song and Yanzhao Wang. Their work appears in journals such as PLoS ONE, Expert Systems with Applications and Pattern Recognition.
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.