Tian Tan
- Control and Systems Engineering top 5%
- Electrical and Electronic Engineering
- Building and Construction top 5%
- Artificial Intelligence
- Automotive Engineering top 10%
- Co-authors
- Jie WangQionghai DaiYue DengFeng BaoBo YangTao YuXiaoshun ZhangXiaoming Huang
- Topics
- Reinforcement Learning in Robotics (5 papers)Gas Sensing Nanomaterials and Sensors (3 papers)Traffic control and management (3 papers)
- Journals
- IEEE Transactions on Pattern Analysis and Machine IntelligenceACS Applied Materials & InterfacesSensors and Actuators B Chemical
- Partner nations
- ChinaUnited StatesMaldives
In The Last Decade
Tian Tan
19 papers receiving 392 citations
Peers
Comparison fields: 5 of 64
- Control and Systems Engineering 218
- Electrical and Electronic Engineering 135
- Building and Construction 121
- Artificial Intelligence 77
- Automotive Engineering 64
Countries citing papers authored by Tian Tan
This map shows the geographic impact of Tian Tan'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 Tian Tan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Tian Tan more than expected).
Fields of papers citing papers by Tian Tan
This network shows the impact of papers produced by Tian Tan. 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 Tian Tan. The network helps show where Tian Tan may publish in the future.
Co-authorship network of co-authors of Tian Tan
This figure shows the co-authorship network connecting the top 25 collaborators of Tian Tan. A scholar is included among the top collaborators of Tian Tan 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 Tian Tan. Tian Tan is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 8 | |
| 2 | 11 | |
| 3 | 9 | |
| 4 | 18 | |
| 5 | 15 | |
| 6 | 1 | |
| 7 | 2 | |
| 8 | 3 | |
| 9 | 11 | |
| 10 | 1 | |
| 11 | Generating Adjacency-Constrained Subgoals in Hierarchical Reinforcement Learning. | 1 |
| 12 | 96 | |
| 13 | 12 | |
| 14 | 3 | |
| 15 | 3 | |
| 16 | 170 | |
| 17 | 22 | |
| 18 | 1 | |
| 19 | 8 |
About Tian Tan
Tian Tan is a scholar working on Bioengineering, Control and Systems Engineering and Automotive Engineering, having authored 19 papers that have together received 395 indexed citations. Recurring topics across this work include Reinforcement Learning in Robotics (5 papers), Gas Sensing Nanomaterials and Sensors (3 papers) and Traffic control and management (3 papers). The work is most often cited by research in Control and Systems Engineering (218 citations), Transportation (63 citations) and Building and Construction (121 citations). Tian Tan has collaborated with scholars based in China, United States and Maldives. Frequent co-authors include Jie Wang, Qionghai Dai, Yue Deng, Feng Bao, Bo Yang, Tao Yu, Xiaoshun Zhang, Xiaoming Huang, Bin Zhou and Feng Chen. Their work appears in journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, ACS Applied Materials & Interfaces and Sensors and Actuators B Chemical.
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.