Di Yao
- Artificial Intelligence top 5%
- Signal Processing top 2%
- Transportation top 1%
- Computer Vision and Pattern Recognition top 5%
- Building and Construction top 5%
- Topics
- Anomaly Detection Techniques and Applications (10 papers)Data Management and Algorithms (10 papers)Transportation Planning and Optimization (9 papers)
- Partner nations
- ChinaUnited StatesSingapore
In The Last Decade
Di Yao
53 papers receiving 1.1k citations
Hit Papers
Peers
Comparison fields: 5 of 109
- Artificial Intelligence 390
- Signal Processing 375
- Transportation 360
- Computer Vision and Pattern Recognition 211
- Building and Construction 167
Countries citing papers authored by Di Yao
This map shows the geographic impact of Di Yao'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 Di Yao with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Di Yao more than expected).
Fields of papers citing papers by Di Yao
This network shows the impact of papers produced by Di Yao. 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 Di Yao. The network helps show where Di Yao may publish in the future.
Co-authorship network of co-authors of Di Yao
This figure shows the co-authorship network connecting the top 25 collaborators of Di Yao. A scholar is included among the top collaborators of Di Yao 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 Di Yao. Di Yao 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 | 26 | |
| 3 | Exploring Progress in Multivariate Time Series Forecasting: Comprehensive Benchmarking and Heterogeneity Analysisbreakdown → | 61 |
| 4 | 5 | |
| 5 | 4 | |
| 6 | 4 | |
| 7 | 2 | |
| 8 | 1 | |
| 9 | 10 | |
| 10 | 2 | |
| 11 | 19 | |
| 12 | 1 | |
| 13 | 2 | |
| 14 | 4 | |
| 15 | 22 | |
| 16 | 19 | |
| 17 | 23 | |
| 18 | 15 | |
| 19 | 1 | |
| 20 | 7 |
About Di Yao
Di Yao is a scholar working on Transportation, Signal Processing and Artificial Intelligence, having authored 55 papers that have together received 1.1k indexed citations. Recurring topics across this work include Anomaly Detection Techniques and Applications (10 papers), Data Management and Algorithms (10 papers) and Transportation Planning and Optimization (9 papers). The work is most often cited by research in Transportation (360 citations), Signal Processing (375 citations) and Geography, Planning and Development (80 citations). Di Yao has collaborated with scholars based in China, United States and Singapore. Frequent co-authors include Jingping Bi, Chao Zhang, Jianhui Huang, Gao Cong, Jinpei Li, Jianhui Huang, Liqun Xu, Zhihua Zhu, Xinxin Fan and Peng Han. Their work appears in journals such as Chemical Physics Letters, IEEE Access and ACM Computing Surveys.
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.