Yinfeng Li
- Artificial Intelligence top 5%
- Information Systems top 5%
- Computer Vision and Pattern Recognition top 10%
- Molecular Biology
- Genetics
- Topics
- Recommender Systems and Techniques (6 papers)Air Traffic Management and Optimization (4 papers)Advanced Graph Neural Networks (4 papers)
- Journals
- SHILAP Revista de lepidopterologíaIEEE AccessEcological Indicators
- Partner nations
- ChinaUnited StatesUnited Kingdom
In The Last Decade
Yinfeng Li
22 papers receiving 622 citations
Hit Papers
Peers
Comparison fields: 5 of 101
- Artificial Intelligence 283
- Information Systems 257
- Computer Vision and Pattern Recognition 104
- Molecular Biology 88
- Genetics 87
Countries citing papers authored by Yinfeng Li
This map shows the geographic impact of Yinfeng Li'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 Yinfeng Li with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yinfeng Li more than expected).
Fields of papers citing papers by Yinfeng Li
This network shows the impact of papers produced by Yinfeng Li. 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 Yinfeng Li. The network helps show where Yinfeng Li may publish in the future.
Co-authorship network of co-authors of Yinfeng Li
This figure shows the co-authorship network connecting the top 25 collaborators of Yinfeng Li. A scholar is included among the top collaborators of Yinfeng Li 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 Yinfeng Li. Yinfeng Li 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 | 1 | |
| 4 | 4 | |
| 5 | 2 | |
| 6 | 7 | |
| 7 | 6 | |
| 8 | 3 | |
| 9 | 14 | |
| 10 | 1 | |
| 11 | 7 | |
| 12 | A Survey of Graph Neural Networks for Recommender Systems: Challenges, Methods, and Directionsbreakdown → | 312 |
| 13 | 19 | |
| 14 | 48 | |
| 15 | 0 | |
| 16 | Progressive Feature Interaction Search for Deep Sparse Network | 3 |
| 17 | 41 | |
| 18 | 5 | |
| 19 | 92 | |
| 20 | PROGRESS IN THE STUDY AND APPLICATION OF PLANT SOMACLONAL VARIATION | 0 |
About Yinfeng Li
Yinfeng Li is a scholar working on Industrial and Manufacturing Engineering, Information Systems and Automotive Engineering, having authored 27 papers that have together received 640 indexed citations. Recurring topics across this work include Recommender Systems and Techniques (6 papers), Air Traffic Management and Optimization (4 papers) and Advanced Graph Neural Networks (4 papers). The work is most often cited by research in Information Systems (257 citations), Artificial Intelligence (283 citations) and Computer Vision and Pattern Recognition (104 citations). Yinfeng Li has collaborated with scholars based in China, United States and United Kingdom. Frequent co-authors include Depeng Jin, Chen Gao, Yong Li, Yu Zheng, Nian Li, Jianxin Chang, Xiangnan He, Jinghua Piao, Yuhan Quan and Hengliang Luo. Their work appears in journals such as SHILAP Revista de lepidopterología, IEEE Access and Ecological Indicators.
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.