Jiayuan Mao
- Artificial Intelligence top 10%
- Computer Vision and Pattern Recognition top 10%
- Control and Systems Engineering
- Computer Networks and Communications
- Information Systems
- Co-authors
- Jiajun WuJoshua B. TenenbaumChuang GanPushmeet KohliSumith KulalAlex AikenDenny ZhouLihong Li
- Topics
- Multimodal Machine Learning Applications (8 papers)Topic Modeling (6 papers)Human Pose and Action Recognition (6 papers)
- Journals
- Journal of Grid ComputingFrontiers in NeuroroboticsJournal of Marine Science and Engineering
- Partner nations
- ChinaUnited StatesGermany
In The Last Decade
Jiayuan Mao
20 papers receiving 185 citations
Peers
Comparison fields: 5 of 48
- Artificial Intelligence 110
- Computer Vision and Pattern Recognition 108
- Control and Systems Engineering 19
- Computer Networks and Communications 16
- Information Systems 10
Countries citing papers authored by Jiayuan Mao
This map shows the geographic impact of Jiayuan Mao'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 Jiayuan Mao with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jiayuan Mao more than expected).
Fields of papers citing papers by Jiayuan Mao
This network shows the impact of papers produced by Jiayuan Mao. 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 Jiayuan Mao. The network helps show where Jiayuan Mao may publish in the future.
Co-authorship network of co-authors of Jiayuan Mao
This figure shows the co-authorship network connecting the top 25 collaborators of Jiayuan Mao. A scholar is included among the top collaborators of Jiayuan Mao 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 Jiayuan Mao. Jiayuan Mao is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 2 | |
| 2 | 1 | |
| 3 | 0 | |
| 4 | 0 | |
| 5 | 1 | |
| 6 | 16 | |
| 7 | 0 | |
| 8 | 0 | |
| 9 | 24 | |
| 10 | 10 | |
| 11 | 3 | |
| 12 | 4 | |
| 13 | 6 | |
| 14 | 16 | |
| 15 | 1 | |
| 16 | 67 | |
| 17 | 19 | |
| 18 | Universal Agent for Disentangling Environments and Tasks | 2 |
| 19 | Explicit Recall for Efficient Exploration | 1 |
| 20 | 9 |
About Jiayuan Mao
Jiayuan Mao is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Biophysics, having authored 25 papers that have together received 197 indexed citations. Recurring topics across this work include Multimodal Machine Learning Applications (8 papers), Topic Modeling (6 papers) and Human Pose and Action Recognition (6 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (108 citations), Artificial Intelligence (110 citations) and Health Informatics (2 citations). Jiayuan Mao has collaborated with scholars based in China, United States and Germany. Frequent co-authors include Jiajun Wu, Joshua B. Tenenbaum, Chuang Gan, Pushmeet Kohli, Sumith Kulal, Alex Aiken, Denny Zhou, Lihong Li, Wei‐Ying Ma and Weiwei Sun. Their work appears in journals such as Journal of Grid Computing, Frontiers in Neurorobotics and Journal of Marine Science and Engineering.
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.