Wenzhao Lian
- Control and Systems Engineering top 5%
- Artificial Intelligence top 10%
- Computer Vision and Pattern Recognition top 10%
- Biomedical Engineering
- Cognitive Neuroscience
- Co-authors
- Stefan SchaalBowen WenKostas E. BekrisLawrence CarinMasayoshi TomizukaChanghao WangChang SuJianlan Luo
- Topics
- Robot Manipulation and Learning (12 papers)Reinforcement Learning in Robotics (6 papers)Neural dynamics and brain function (2 papers)
- Cited by
- Control and Systems EngineeringComputer Vision and Pattern RecognitionIndustrial and Manufacturing Engineering
- Journals
- IEEE Transactions on Biomedical EngineeringSignal ProcessingIEEE Robotics and Automation Letters
- Partner nations
- United StatesChinaUnited Kingdom
In The Last Decade
Wenzhao Lian
18 papers receiving 312 citations
Peers
Comparison fields: 5 of 64
- Control and Systems Engineering 173
- Artificial Intelligence 102
- Computer Vision and Pattern Recognition 101
- Biomedical Engineering 59
- Cognitive Neuroscience 48
Countries citing papers authored by Wenzhao Lian
This map shows the geographic impact of Wenzhao Lian'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 Wenzhao Lian with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Wenzhao Lian more than expected).
Fields of papers citing papers by Wenzhao Lian
This network shows the impact of papers produced by Wenzhao Lian. 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 Wenzhao Lian. The network helps show where Wenzhao Lian may publish in the future.
Co-authorship network of co-authors of Wenzhao Lian
This figure shows the co-authorship network connecting the top 25 collaborators of Wenzhao Lian. A scholar is included among the top collaborators of Wenzhao Lian 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 Wenzhao Lian. Wenzhao Lian 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 | 1 | |
| 3 | 5 | |
| 4 | 20 | |
| 5 | 6 | |
| 6 | 26 | |
| 7 | 57 | |
| 8 | 5 | |
| 9 | 40 | |
| 10 | 15 | |
| 11 | 41 | |
| 12 | 18 | |
| 13 | 15 | |
| 14 | 11 | |
| 15 | 16 | |
| 16 | A Multitask Point Process Predictive Model | 11 |
| 17 | Analysis of Brain States from Multi-Region LFP Time-Series | 4 |
| 18 | Modeling Correlated Arrival Events with Latent Semi-Markov Processes | 5 |
| 19 | 29 |
About Wenzhao Lian
Wenzhao Lian is a scholar working on Computational Mathematics, Human-Computer Interaction and Control and Systems Engineering, having authored 19 papers that have together received 325 indexed citations. Recurring topics across this work include Robot Manipulation and Learning (12 papers), Reinforcement Learning in Robotics (6 papers) and Neural dynamics and brain function (2 papers). The work is most often cited by research in Control and Systems Engineering (173 citations), Computer Vision and Pattern Recognition (101 citations) and Industrial and Manufacturing Engineering (39 citations). Wenzhao Lian has collaborated with scholars based in United States, China and United Kingdom. Frequent co-authors include Stefan Schaal, Bowen Wen, Kostas E. Bekris, Lawrence Carin, Masayoshi Tomizuka, Changhao Wang, Chang Su, Jianlan Luo, Mel Vecerík and Jonathan Scholz. Their work appears in journals such as IEEE Transactions on Biomedical Engineering, Signal Processing and IEEE Robotics and Automation Letters.
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.