Liangbin Xie
- Computer Vision and Pattern Recognition top 1%
- Media Technology top 1%
- Computer Graphics and Computer-Aided Design top 2%
- Artificial Intelligence top 10%
- Control and Systems Engineering
- Co-authors
- Ying ShanXintao WangChao DongZhongang QiChong MouYanze WuJian ZhangLu Wang
- Topics
- Image and Signal Denoising Methods (3 papers)Smart Grid Energy Management (3 papers)Advanced Image Processing Techniques (3 papers)
- Cited by
- Computer Vision and Pattern RecognitionMedia TechnologyComputer Graphics and Computer-Aided Design
- Partner nations
- ChinaMacaoUnited States
In The Last Decade
Liangbin Xie
13 papers receiving 1.1k citations
Hit Papers
Peers
Comparison fields: 5 of 102
- Computer Vision and Pattern Recognition 863
- Media Technology 317
- Computer Graphics and Computer-Aided Design 94
- Artificial Intelligence 93
- Control and Systems Engineering 54
Countries citing papers authored by Liangbin Xie
This map shows the geographic impact of Liangbin Xie'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 Liangbin Xie with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Liangbin Xie more than expected).
Fields of papers citing papers by Liangbin Xie
This network shows the impact of papers produced by Liangbin Xie. 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 Liangbin Xie. The network helps show where Liangbin Xie may publish in the future.
Co-authorship network of co-authors of Liangbin Xie
This figure shows the co-authorship network connecting the top 25 collaborators of Liangbin Xie. A scholar is included among the top collaborators of Liangbin Xie 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 Liangbin Xie. Liangbin Xie 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 | 2 | |
| 3 | 0 | |
| 4 | 10 | |
| 5 | 12 | |
| 6 | T2I-Adapter: Learning Adapters to Dig Out More Controllable Ability for Text-to-Image Diffusion Modelsbreakdown → | 259 |
| 7 | 2 | |
| 8 | 5 | |
| 9 | 1 | |
| 10 | 12 | |
| 11 | 0 | |
| 12 | 1 | |
| 13 | 29 | |
| 14 | 4 | |
| 15 | Real-ESRGAN: Training Real-World Blind Super-Resolution with Pure Synthetic Databreakdown → | 760 |
| 16 | 23 |
About Liangbin Xie
Liangbin Xie is a scholar working on Energy Engineering and Power Technology, Computer Vision and Pattern Recognition and Computer Graphics and Computer-Aided Design, having authored 16 papers that have together received 1.1k indexed citations. Recurring topics across this work include Image and Signal Denoising Methods (3 papers), Smart Grid Energy Management (3 papers) and Advanced Image Processing Techniques (3 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (863 citations), Media Technology (317 citations) and Computer Graphics and Computer-Aided Design (94 citations). Liangbin Xie has collaborated with scholars based in China, Macao and United States. Frequent co-authors include Ying Shan, Xintao Wang, Chao Dong, Zhongang Qi, Chong Mou, Yanze Wu, Jian Zhang, Lu Wang, Qingxu Deng and Lisheng Xu. Their work appears in journals such as Sensors, International Journal of Computer Vision and Health Physics.
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.