Xin Liu
- Computer Vision and Pattern Recognition top 0.5%
- Artificial Intelligence top 5%
- Electrical and Electronic Engineering top 10%
- Polymers and Plastics top 5%
- Signal Processing top 5%
- Topics
- Advanced Image and Video Retrieval Techniques (29 papers)Multimodal Machine Learning Applications (23 papers)Organic Electronics and Photovoltaics (19 papers)
- Journals
- Angewandte Chemie International EditionPLoS ONEIEEE Transactions on Pattern Analysis and Machine Intelligence
- Partner nations
- ChinaHong KongUnited States
In The Last Decade
Xin Liu
145 papers receiving 2.1k citations
Peers
Comparison fields: 5 of 143
- Computer Vision and Pattern Recognition 1.2k
- Artificial Intelligence 440
- Electrical and Electronic Engineering 434
- Polymers and Plastics 309
- Signal Processing 212
Countries citing papers authored by Xin Liu
This map shows the geographic impact of Xin 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 Xin Liu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Xin Liu more than expected).
Fields of papers citing papers by Xin Liu
This network shows the impact of papers produced by Xin 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 Xin Liu. The network helps show where Xin Liu may publish in the future.
Co-authorship network of co-authors of Xin Liu
This figure shows the co-authorship network connecting the top 25 collaborators of Xin Liu. A scholar is included among the top collaborators of Xin 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 Xin Liu. Xin 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 | 0 | |
| 2 | 14 | |
| 3 | 2 | |
| 4 | 5 | |
| 5 | 3 | |
| 6 | 0 | |
| 7 | 3 | |
| 8 | 3 | |
| 9 | 1 | |
| 10 | 0 | |
| 11 | 1 | |
| 12 | 31 | |
| 13 | 20 | |
| 14 | 2 | |
| 15 | 8 | |
| 16 | 1 | |
| 17 | 5 | |
| 18 | 1 | |
| 19 | Image segmentation based on local spatial adaptive Markov random field model | 1 |
| 20 | Approach to Fault Diagnosis Knowledge Acquisition Based on Immune Algorithm | 0 |
About Xin Liu
Xin Liu is a scholar working on Computer Vision and Pattern Recognition, Signal Processing and Computer Graphics and Computer-Aided Design, having authored 160 papers that have together received 2.2k indexed citations. Recurring topics across this work include Advanced Image and Video Retrieval Techniques (29 papers), Multimodal Machine Learning Applications (23 papers) and Organic Electronics and Photovoltaics (19 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (1.2k citations), Polymers and Plastics (309 citations) and Signal Processing (212 citations). Xin Liu has collaborated with scholars based in China, Hong Kong and United States. Frequent co-authors include Yiu‐ming Cheung, Zhikai Hu, Jiangsheng Yu, Haibin Ling, Wentao Fan, Ji‐Xiang Du, Xing Xu, Xinge You, Yuan Yan Tang and Ching‐Nung Yang. Their work appears in journals such as Angewandte Chemie International Edition, PLoS ONE and IEEE Transactions on Pattern Analysis and Machine Intelligence.
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.