Ruihao Gong
- Computer Vision and Pattern Recognition top 1%
- Artificial Intelligence top 2%
- Electrical and Electronic Engineering
- Computer Networks and Communications top 10%
- Media Technology top 5%
- Topics
- Advanced Neural Network Applications (21 papers)Domain Adaptation and Few-Shot Learning (15 papers)Advanced Image and Video Retrieval Techniques (8 papers)
- Journals
- IEEE Transactions on Pattern Analysis and Machine IntelligencePattern RecognitionInternational Journal of Computer Vision
- Partner nations
- ChinaUnited StatesPoland
In The Last Decade
Ruihao Gong
28 papers receiving 1.2k citations
Hit Papers
Peers
Comparison fields: 5 of 103
- Computer Vision and Pattern Recognition 751
- Artificial Intelligence 666
- Electrical and Electronic Engineering 257
- Computer Networks and Communications 79
- Media Technology 76
Countries citing papers authored by Ruihao Gong
This map shows the geographic impact of Ruihao Gong'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 Ruihao Gong with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ruihao Gong more than expected).
Fields of papers citing papers by Ruihao Gong
This network shows the impact of papers produced by Ruihao Gong. 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 Ruihao Gong. The network helps show where Ruihao Gong may publish in the future.
Co-authorship network of co-authors of Ruihao Gong
This figure shows the co-authorship network connecting the top 25 collaborators of Ruihao Gong. A scholar is included among the top collaborators of Ruihao Gong 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 Ruihao Gong. Ruihao Gong 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 | 0 | |
| 3 | 0 | |
| 4 | 2 | |
| 5 | 0 | |
| 6 | 0 | |
| 7 | 5 | |
| 8 | 4 | |
| 9 | 0 | |
| 10 | 6 | |
| 11 | 4 | |
| 12 | 2 | |
| 13 | 20 | |
| 14 | 6 | |
| 15 | 14 | |
| 16 | Binary neural networks: A surveybreakdown → | 325 |
| 17 | 99 | |
| 18 | 205 | |
| 19 | 247 | |
| 20 | IR-Net: Forward and Backward Information Retention for Highly Accurate Binary Neural Networks | 5 |
About Ruihao Gong
Ruihao Gong is a scholar working on Computational Mathematics, Computer Vision and Pattern Recognition and Artificial Intelligence, having authored 34 papers that have together received 1.2k indexed citations. Recurring topics across this work include Advanced Neural Network Applications (21 papers), Domain Adaptation and Few-Shot Learning (15 papers) and Advanced Image and Video Retrieval Techniques (8 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (751 citations), Artificial Intelligence (666 citations) and Computational Mathematics (10 citations). Ruihao Gong has collaborated with scholars based in China, United States and Poland. Frequent co-authors include Xianglong Liu, Haotong Qin, Fengwei Yu, Jingkuan Song, Nicu Sebe, Xiao Bai, Junjie Yan, Mingzhu Shen, Peng Hu and Jiazhen Lin. Their work appears in journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, Pattern Recognition and International Journal of Computer Vision.
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.