Shaoteng Liu
- Computer Vision and Pattern Recognition top 2%
- Media Technology top 1%
- Atmospheric Science top 10%
- Artificial Intelligence top 10%
- Computer Networks and Communications top 10%
- Co-authors
- Xuelong LiQi WangJocelyn ChanussotZhonghai LuAxel JantschTat‐Seng ChuaYu–Gang JiangJingjing Chen
- Topics
- Interconnection Networks and Systems (12 papers)Advanced Memory and Neural Computing (7 papers)Parallel Computing and Optimization Techniques (7 papers)
In The Last Decade
Shaoteng Liu
30 papers receiving 760 citations
Hit Papers
Peers
Comparison fields: 5 of 71
- Computer Vision and Pattern Recognition 436
- Media Technology 425
- Atmospheric Science 214
- Artificial Intelligence 162
- Computer Networks and Communications 117
Countries citing papers authored by Shaoteng Liu
This map shows the geographic impact of Shaoteng Liu'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 Shaoteng Liu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Shaoteng Liu more than expected).
Fields of papers citing papers by Shaoteng Liu
This network shows the impact of papers produced by Shaoteng Liu. 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 Shaoteng Liu. The network helps show where Shaoteng Liu may publish in the future.
Co-authorship network of co-authors of Shaoteng Liu
This figure shows the co-authorship network connecting the top 25 collaborators of Shaoteng Liu. A scholar is included among the top collaborators of Shaoteng Liu 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 Shaoteng Liu. Shaoteng Liu is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 5 | |
| 2 | 0 | |
| 3 | 0 | |
| 4 | 1 | |
| 5 | 0 | |
| 6 | 34 | |
| 7 | 1 | |
| 8 | 1 | |
| 9 | 1 | |
| 10 | 1 | |
| 11 | 0 | |
| 12 | 62 | |
| 13 | Scene Classification With Recurrent Attention of VHR Remote Sensing Imagesbreakdown → | 526 |
| 14 | 10 | |
| 15 | 10 | |
| 16 | 14 | |
| 17 | 2 | |
| 18 | 1 | |
| 19 | 13 | |
| 20 | 21 |
About Shaoteng Liu
Shaoteng Liu is a scholar working on Computational Mathematics, Hardware and Architecture and Computer Networks and Communications, having authored 34 papers that have together received 779 indexed citations. Recurring topics across this work include Interconnection Networks and Systems (12 papers), Advanced Memory and Neural Computing (7 papers) and Parallel Computing and Optimization Techniques (7 papers). The work is most often cited by research in Media Technology (425 citations), Computer Vision and Pattern Recognition (436 citations) and Atmospheric Science (214 citations). Shaoteng Liu has collaborated with scholars based in China, Sweden and Hong Kong. Frequent co-authors include Xuelong Li, Qi Wang, Jocelyn Chanussot, Zhonghai Lu, Axel Jantsch, Tat‐Seng Chua, Yu–Gang Jiang, Jingjing Chen, Liangming Pan and Chong‐Wah Ngo. Their work appears in journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, 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.