Renjie Liao
- Computer Vision and Pattern Recognition top 0.5%
- Artificial Intelligence top 5%
- Media Technology top 0.5%
- Automotive Engineering top 5%
- Aerospace Engineering top 10%
- Topics
- Autonomous Vehicle Technology and Safety (6 papers)Advanced Image and Video Retrieval Techniques (6 papers)Advanced Neural Network Applications (5 papers)
- Journals
- IEEE Transactions on Pattern Analysis and Machine IntelligenceIEEE Transactions on Information TheoryIEEE Transactions on Image Processing
- Partner nations
- CanadaChinaUnited States
In The Last Decade
Renjie Liao
40 papers receiving 2.1k citations
Hit Papers
Peers
Comparison fields: 5 of 98
- Computer Vision and Pattern Recognition 1.6k
- Artificial Intelligence 461
- Media Technology 451
- Automotive Engineering 284
- Aerospace Engineering 141
Countries citing papers authored by Renjie Liao
This map shows the geographic impact of Renjie Liao'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 Renjie Liao with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Renjie Liao more than expected).
Fields of papers citing papers by Renjie Liao
This network shows the impact of papers produced by Renjie Liao. 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 Renjie Liao. The network helps show where Renjie Liao may publish in the future.
Co-authorship network of co-authors of Renjie Liao
This figure shows the co-authorship network connecting the top 25 collaborators of Renjie Liao. A scholar is included among the top collaborators of Renjie Liao 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 Renjie Liao. Renjie Liao 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 | 1 | |
| 4 | 1 | |
| 5 | 1 | |
| 6 | 15 | |
| 7 | 0 | |
| 8 | 1 | |
| 9 | 7 | |
| 10 | 21 | |
| 11 | 132 | |
| 12 | 42 | |
| 13 | Lorentzian Distance Learning for Hyperbolic Representations | 22 |
| 14 | Leveraging Constraint Logic Programming for Neural Guided Program Synthesis. | 2 |
| 15 | NerveNet: Learning Structured Policy with Graph Neural Networks | 66 |
| 16 | Neural Guided Constraint Logic Programming for Program Synthesis | 3 |
| 17 | Graph Partition Neural Networks for Semi-Supervised Classification | 2 |
| 18 | 227 | |
| 19 | Learning Deep Parsimonious Representations | 33 |
| 20 | Deep Edge-Aware Filters | 92 |
About Renjie Liao
Renjie Liao is a scholar working on Computer Vision and Pattern Recognition, Automotive Engineering and Media Technology, having authored 46 papers that have together received 2.2k indexed citations. Recurring topics across this work include Autonomous Vehicle Technology and Safety (6 papers), Advanced Image and Video Retrieval Techniques (6 papers) and Advanced Neural Network Applications (5 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (1.6k citations), Media Technology (451 citations) and Automotive Engineering (284 citations). Renjie Liao has collaborated with scholars based in Canada, China and United States. Frequent co-authors include Jiaya Jia, Raquel Urtasun, Xiaojuan Qi, Xin Tao, Sanja Fidler, Hongyun Gao, Jue Wang, Zhengzhe Liu, Ziyang Ma and Ruiyu Li. Their work appears in journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, IEEE Transactions on Information Theory and IEEE Transactions on Image Processing.
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.