Daizong Liu
- Computer Vision and Pattern Recognition top 2%
- Artificial Intelligence top 5%
- Experimental and Cognitive Psychology top 10%
- Computational Mechanics
- Transportation
- Topics
- Multimodal Machine Learning Applications (25 papers)Human Pose and Action Recognition (22 papers)Video Analysis and Summarization (10 papers)
- Cited by
- Computer Vision and Pattern RecognitionArtificial IntelligenceExperimental and Cognitive Psychology
- Journals
- IEEE Transactions on Pattern Analysis and Machine IntelligenceIEEE Transactions on Neural Networks and Learning SystemsNeurocomputing
- Partner nations
- ChinaUnited StatesHong Kong
In The Last Decade
Daizong Liu
48 papers receiving 763 citations
Peers
Comparison fields: 5 of 71
- Computer Vision and Pattern Recognition 558
- Artificial Intelligence 296
- Experimental and Cognitive Psychology 75
- Computational Mechanics 44
- Transportation 23
Countries citing papers authored by Daizong Liu
This map shows the geographic impact of Daizong 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 Daizong Liu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daizong Liu more than expected).
Fields of papers citing papers by Daizong Liu
This network shows the impact of papers produced by Daizong 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 Daizong Liu. The network helps show where Daizong Liu may publish in the future.
Co-authorship network of co-authors of Daizong Liu
This figure shows the co-authorship network connecting the top 25 collaborators of Daizong Liu. A scholar is included among the top collaborators of Daizong 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 Daizong Liu. Daizong 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 | 3 | |
| 2 | 0 | |
| 3 | 0 | |
| 4 | 0 | |
| 5 | 8 | |
| 6 | 5 | |
| 7 | 0 | |
| 8 | 2 | |
| 9 | 1 | |
| 10 | 1 | |
| 11 | 0 | |
| 12 | 2 | |
| 13 | 11 | |
| 14 | 8 | |
| 15 | 8 | |
| 16 | 1 | |
| 17 | 4 | |
| 18 | 7 | |
| 19 | 30 | |
| 20 | 46 |
About Daizong Liu
Daizong Liu is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Transportation, having authored 56 papers that have together received 772 indexed citations. Recurring topics across this work include Multimodal Machine Learning Applications (25 papers), Human Pose and Action Recognition (22 papers) and Video Analysis and Summarization (10 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (558 citations), Artificial Intelligence (296 citations) and Experimental and Cognitive Psychology (75 citations). Daizong Liu has collaborated with scholars based in China, United States and Hong Kong. Frequent co-authors include Pan Zhou, Wei Hu, Xiaoye Qu, Jianfeng Dong, Zichuan Xu, Xiang Fang, Yulai Xie, Xiao-Yang Liu, Yu Cheng and Shuangjie Xu. Their work appears in journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, IEEE Transactions on Neural Networks and Learning Systems and Neurocomputing.
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.