Yan Tian
- Building and Construction top 1%
- Computer Vision and Pattern Recognition top 2%
- Control and Systems Engineering top 5%
- Transportation top 1%
- Artificial Intelligence top 5%
- Co-authors
- Bailin YangXianxuan LinJianyuan LiKaili ZhangShulin SunJudith GelernterXun WangRuili Wang
- Topics
- High voltage insulation and dielectric phenomena (9 papers)Human Pose and Action Recognition (9 papers)Advanced Neural Network Applications (8 papers)
- Partner nations
- ChinaUnited KingdomUnited States
In The Last Decade
Yan Tian
53 papers receiving 1.3k citations
Hit Papers
Peers
Comparison fields: 5 of 113
- Building and Construction 526
- Computer Vision and Pattern Recognition 429
- Control and Systems Engineering 356
- Transportation 356
- Artificial Intelligence 205
Countries citing papers authored by Yan Tian
This map shows the geographic impact of Yan Tian'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 Yan Tian with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yan Tian more than expected).
Fields of papers citing papers by Yan Tian
This network shows the impact of papers produced by Yan Tian. 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 Yan Tian. The network helps show where Yan Tian may publish in the future.
Co-authorship network of co-authors of Yan Tian
This figure shows the co-authorship network connecting the top 25 collaborators of Yan Tian. A scholar is included among the top collaborators of Yan Tian 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 Yan Tian. Yan Tian 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 | 8 | |
| 3 | 1 | |
| 4 | 0 | |
| 5 | 10 | |
| 6 | 7 | |
| 7 | 2 | |
| 8 | 27 | |
| 9 | 5 | |
| 10 | 15 | |
| 11 | 4 | |
| 12 | 29 | |
| 13 | 38 | |
| 14 | 8 | |
| 15 | 73 | |
| 16 | LSTM-based traffic flow prediction with missing databreakdown → | 406 |
| 17 | Traffic flow prediction using LSTM with feature enhancementbreakdown → | 319 |
| 18 | 92 | |
| 19 | An Empirical Analysis on Earnings Management of Listed Companies with Meager Profits | 0 |
| 20 | 23 |
About Yan Tian
Yan Tian is a scholar working on Computer Vision and Pattern Recognition, Media Technology and Energy Engineering and Power Technology, having authored 58 papers that have together received 1.4k indexed citations. Recurring topics across this work include High voltage insulation and dielectric phenomena (9 papers), Human Pose and Action Recognition (9 papers) and Advanced Neural Network Applications (8 papers). The work is most often cited by research in Transportation (356 citations), Building and Construction (526 citations) and Computer Vision and Pattern Recognition (429 citations). Yan Tian has collaborated with scholars based in China, United Kingdom and United States. Frequent co-authors include Bailin Yang, Xianxuan Lin, Jianyuan Li, Kaili Zhang, Shulin Sun, Judith Gelernter, Xun Wang, Ruili Wang, Jiachen Wu and Yizhou Yu. Their work appears in journals such as Bioinformatics, The Journal of Physical Chemistry C and Pattern Recognition.
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.