Yixin Chen
- Artificial Intelligence top 5%
- Control and Systems Engineering top 5%
- Computer Vision and Pattern Recognition top 5%
- Civil and Structural Engineering top 10%
- Electrical and Electronic Engineering
- Co-authors
- James Z. WangBolun ChenLing ChenBogdan M. WilamowskiJohn E. McInroyA. MalinowskiXuesong WangMohammed Quddus
- Topics
- Face and Expression Recognition (6 papers)Neural Networks and Applications (6 papers)Metaheuristic Optimization Algorithms Research (6 papers)
- Cited by
- Artificial IntelligenceComputer Vision and Pattern RecognitionControl and Systems Engineering
- Partner nations
- ChinaUnited StatesSingapore
In The Last Decade
Yixin Chen
66 papers receiving 874 citations
Peers
Comparison fields: 5 of 120
- Artificial Intelligence 370
- Control and Systems Engineering 159
- Computer Vision and Pattern Recognition 151
- Civil and Structural Engineering 103
- Electrical and Electronic Engineering 87
Countries citing papers authored by Yixin Chen
This map shows the geographic impact of Yixin Chen'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 Yixin Chen with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yixin Chen more than expected).
Fields of papers citing papers by Yixin Chen
This network shows the impact of papers produced by Yixin Chen. 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 Yixin Chen. The network helps show where Yixin Chen may publish in the future.
Co-authorship network of co-authors of Yixin Chen
This figure shows the co-authorship network connecting the top 25 collaborators of Yixin Chen. A scholar is included among the top collaborators of Yixin Chen 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 Yixin Chen. Yixin Chen 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 | 0 | |
| 4 | 0 | |
| 5 | 6 | |
| 6 | 2 | |
| 7 | 2 | |
| 8 | 4 | |
| 9 | 21 | |
| 10 | 0 | |
| 11 | 0 | |
| 12 | 62 | |
| 13 | 20 | |
| 14 | 0 | |
| 15 | 5 | |
| 16 | 4 | |
| 17 | Inductive Graph Pattern Learning for Recommender Systems Based on a Graph Neural Network. | 3 |
| 18 | Completeness and optimality preserving reduction for planning | 21 |
| 19 | Stratified planning | 10 |
| 20 | Automated planning and scheduling using calculus of variations in discrete space | 9 |
About Yixin Chen
Yixin Chen is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Safety, Risk, Reliability and Quality, having authored 77 papers that have together received 918 indexed citations. Recurring topics across this work include Face and Expression Recognition (6 papers), Neural Networks and Applications (6 papers) and Metaheuristic Optimization Algorithms Research (6 papers). The work is most often cited by research in Artificial Intelligence (370 citations), Computer Vision and Pattern Recognition (151 citations) and Control and Systems Engineering (159 citations). Yixin Chen has collaborated with scholars based in China, United States and Singapore. Frequent co-authors include James Z. Wang, Bolun Chen, Ling Chen, Bogdan M. Wilamowski, John E. McInroy, A. Malinowski, Xuesong Wang, Mohammed Quddus, Hao Zuo and Feng Jia. Their work appears in journals such as Nature Communications, Advanced Functional Materials and Chemical Engineering Journal.
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.