Yu Bai
- Electrical and Electronic Engineering
- Artificial Intelligence top 5%
- Media Technology top 2%
- Computer Vision and Pattern Recognition top 5%
- Computer Networks and Communications top 10%
- Topics
- Advanced Memory and Neural Computing (10 papers)Advanced Neural Network Applications (8 papers)Remote-Sensing Image Classification (8 papers)
- Journals
- Environmental Science & TechnologyIEEE Transactions on Geoscience and Remote SensingIEEE Access
- Partner nations
- United StatesChinaNetherlands
In The Last Decade
Yu Bai
61 papers receiving 868 citations
Peers
Comparison fields: 5 of 120
- Electrical and Electronic Engineering 211
- Artificial Intelligence 209
- Media Technology 169
- Computer Vision and Pattern Recognition 151
- Computer Networks and Communications 108
Countries citing papers authored by Yu Bai
This map shows the geographic impact of Yu Bai'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 Yu Bai with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yu Bai more than expected).
Fields of papers citing papers by Yu Bai
This network shows the impact of papers produced by Yu Bai. 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 Yu Bai. The network helps show where Yu Bai may publish in the future.
Co-authorship network of co-authors of Yu Bai
This figure shows the co-authorship network connecting the top 25 collaborators of Yu Bai. A scholar is included among the top collaborators of Yu Bai 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 Yu Bai. Yu Bai 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 | 1 | |
| 3 | 2 | |
| 4 | 5 | |
| 5 | 18 | |
| 6 | 7 | |
| 7 | 8 | |
| 8 | 4 | |
| 9 | 7 | |
| 10 | 56 | |
| 11 | 18 | |
| 12 | Design and Implementation of 32-Channel ADPCM CODEC | 0 |
| 13 | Subgradient Descent Learns Orthogonal Dictionaries | 13 |
| 14 | ProxQuant: Quantized Neural Networks via Proximal Operators | 18 |
| 15 | 50 | |
| 16 | 5 | |
| 17 | 2 | |
| 18 | 12 | |
| 19 | 5 | |
| 20 | 3 |
About Yu Bai
Yu Bai is a scholar working on Computational Mathematics, Media Technology and Computer Vision and Pattern Recognition, having authored 69 papers that have together received 916 indexed citations. Recurring topics across this work include Advanced Memory and Neural Computing (10 papers), Advanced Neural Network Applications (8 papers) and Remote-Sensing Image Classification (8 papers). The work is most often cited by research in Media Technology (169 citations), Computational Mathematics (7 citations) and Computer Vision and Pattern Recognition (151 citations). Yu Bai has collaborated with scholars based in United States, China and Netherlands. Frequent co-authors include Yanhui Guo, Mei Song, Andrea Montanari, Guangxi Yan, Chengqing Yu, Han Cao, Liyi Zhang, Jie Wu, Ying Li and Ronald F. DeMara. Their work appears in journals such as Environmental Science & Technology, IEEE Transactions on Geoscience and Remote Sensing and IEEE Access.
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.