Yajun Mei
- Statistics, Probability and Uncertainty top 0.5%
- Statistics and Probability top 1%
- Artificial Intelligence top 5%
- Control and Systems Engineering top 5%
- Computer Networks and Communications top 5%
- Topics
- Advanced Statistical Process Monitoring (39 papers)Fault Detection and Control Systems (15 papers)Statistical Methods and Inference (14 papers)
- Cited by
- Statistics, Probability and UncertaintyStatistics and ProbabilityControl and Systems Engineering
- Partner nations
- United StatesChinaGreece
In The Last Decade
Yajun Mei
69 papers receiving 1.0k citations
Peers
Comparison fields: 5 of 119
- Statistics, Probability and Uncertainty 540
- Statistics and Probability 270
- Artificial Intelligence 254
- Control and Systems Engineering 240
- Computer Networks and Communications 193
Countries citing papers authored by Yajun Mei
This map shows the geographic impact of Yajun Mei'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 Yajun Mei with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yajun Mei more than expected).
Fields of papers citing papers by Yajun Mei
This network shows the impact of papers produced by Yajun Mei. 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 Yajun Mei. The network helps show where Yajun Mei may publish in the future.
Co-authorship network of co-authors of Yajun Mei
This figure shows the co-authorship network connecting the top 25 collaborators of Yajun Mei. A scholar is included among the top collaborators of Yajun Mei 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 Yajun Mei. Yajun Mei 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 | 0 | |
| 3 | 3 | |
| 4 | 4 | |
| 5 | 0 | |
| 6 | 1 | |
| 7 | 1 | |
| 8 | 23 | |
| 9 | 3 | |
| 10 | 12 | |
| 11 | 10 | |
| 12 | Single and Multiple Change-Point Detection with Differential Privacy | 2 |
| 13 | 3 | |
| 14 | 2 | |
| 15 | 6 | |
| 16 | Simulation of households' planting behavior based on a CR-BDI model: Case study of Jiangxingzhuang Village of Mizhi County in Shaanxi Province | 2 |
| 17 | 2 | |
| 18 | 2 | |
| 19 | 37 | |
| 20 | Optimal stationary binary quantizer for decentralized quickest change detection in hidden Markov models | 1 |
About Yajun Mei
Yajun Mei is a scholar working on Statistics, Probability and Uncertainty, Statistics and Probability and Computational Mathematics, having authored 78 papers that have together received 1.0k indexed citations. Recurring topics across this work include Advanced Statistical Process Monitoring (39 papers), Fault Detection and Control Systems (15 papers) and Statistical Methods and Inference (14 papers). The work is most often cited by research in Statistics, Probability and Uncertainty (540 citations), Statistics and Probability (270 citations) and Control and Systems Engineering (240 citations). Yajun Mei has collaborated with scholars based in United States, China and Greece. Frequent co-authors include Jianjun Shi, Kaibo Liu, Kwok‐Leung Tsui, Cheng–Der Fuh, Danbi Tian, Yujie Ma, Rong‐Bin Song, He Huang, Ling Jiang and Sung Won Han. Their work appears in journals such as Technometrics, Stroke and IEEE Transactions on Information Theory.
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.