Chenghao Liu
- Computer Vision and Pattern Recognition top 2%
- Artificial Intelligence top 2%
- Information Systems top 5%
- Computer Networks and Communications top 10%
- Signal Processing top 5%
- Co-authors
- Steven C. H. HoiJianling SunPeilin ZhaoMoncef GabboujDoyen SahooImed BouaziziYongfeng HuangShanyu Tang
- Topics
- Domain Adaptation and Few-Shot Learning (9 papers)Advanced Graph Neural Networks (9 papers)Recommender Systems and Techniques (8 papers)
- Journals
- IEEE Transactions on Pattern Analysis and Machine IntelligenceJournal of Cleaner ProductionFood Chemistry
- Partner nations
- ChinaSingaporeUnited States
In The Last Decade
Chenghao Liu
51 papers receiving 1.1k citations
Peers
Comparison fields: 5 of 112
- Computer Vision and Pattern Recognition 491
- Artificial Intelligence 486
- Information Systems 192
- Computer Networks and Communications 143
- Signal Processing 142
Countries citing papers authored by Chenghao Liu
This map shows the geographic impact of Chenghao 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 Chenghao Liu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Chenghao Liu more than expected).
Fields of papers citing papers by Chenghao Liu
This network shows the impact of papers produced by Chenghao 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 Chenghao Liu. The network helps show where Chenghao Liu may publish in the future.
Co-authorship network of co-authors of Chenghao Liu
This figure shows the co-authorship network connecting the top 25 collaborators of Chenghao Liu. A scholar is included among the top collaborators of Chenghao 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 Chenghao Liu. Chenghao 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 | 1 | |
| 2 | 0 | |
| 3 | 7 | |
| 4 | 15 | |
| 5 | 5 | |
| 6 | 0 | |
| 7 | 3 | |
| 8 | 2 | |
| 9 | 1 | |
| 10 | 15 | |
| 11 | 1 | |
| 12 | 7 | |
| 13 | 22 | |
| 14 | 10 | |
| 15 | Contextual Transformation Networks for Online Continual Learning | 13 |
| 16 | 85 | |
| 17 | 17 | |
| 18 | 20 | |
| 19 | 8 | |
| 20 | 2 |
About Chenghao Liu
Chenghao Liu is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Management Science and Operations Research, having authored 54 papers that have together received 1.1k indexed citations. Recurring topics across this work include Domain Adaptation and Few-Shot Learning (9 papers), Advanced Graph Neural Networks (9 papers) and Recommender Systems and Techniques (8 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (491 citations), Artificial Intelligence (486 citations) and Signal Processing (142 citations). Chenghao Liu has collaborated with scholars based in China, Singapore and United States. Frequent co-authors include Steven C. H. Hoi, Jianling Sun, Peilin Zhao, Moncef Gabbouj, Doyen Sahoo, Imed Bouazizi, Yongfeng Huang, Shanyu Tang, Sen Bai and Ee‐Peng Lim. Their work appears in journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, Journal of Cleaner Production and Food Chemistry.
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.