Xingyu Pan
- Information Systems top 2%
- Artificial Intelligence top 5%
- Computer Vision and Pattern Recognition top 10%
- Management Science and Operations Research top 10%
- Education
- Co-authors
- Wayne Xin ZhaoJi-Rong WenChangxin TianYushuo ChenZuowei WangKai S. CortinaKevin F. MillerXu Chen
- Topics
- Recommender Systems and Techniques (5 papers)Topic Modeling (4 papers)Advanced Graph Neural Networks (3 papers)
- Journals
- The Science of The Total EnvironmentComputers & EducationSolar Energy Materials and Solar Cells
- Partner nations
- ChinaJapanUnited States
In The Last Decade
Xingyu Pan
14 papers receiving 458 citations
Hit Papers
Peers
Comparison fields: 5 of 75
- Information Systems 325
- Artificial Intelligence 264
- Computer Vision and Pattern Recognition 87
- Management Science and Operations Research 65
- Education 40
Countries citing papers authored by Xingyu Pan
This map shows the geographic impact of Xingyu Pan'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 Xingyu Pan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Xingyu Pan more than expected).
Fields of papers citing papers by Xingyu Pan
This network shows the impact of papers produced by Xingyu Pan. 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 Xingyu Pan. The network helps show where Xingyu Pan may publish in the future.
Co-authorship network of co-authors of Xingyu Pan
This figure shows the co-authorship network connecting the top 25 collaborators of Xingyu Pan. A scholar is included among the top collaborators of Xingyu Pan 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 Xingyu Pan. Xingyu Pan 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 | 1 | |
| 3 | 16 | |
| 4 | 2 | |
| 5 | 4 | |
| 6 | 13 | |
| 7 | 13 | |
| 8 | 23 | |
| 9 | 68 | |
| 10 | RecBole: Towards a Unified, Comprehensive and Efficient Framework for Recommendation Algorithmsbreakdown → | 220 |
| 11 | CodEX: Source Code Plagiarism Detection Based on Abstract Syntax Tree. | 7 |
| 12 | 1 | |
| 13 | Tablet-Based Math Assessment: What Can We Learn from Math Apps?. | 38 |
| 14 | 62 | |
| 15 | Effects of Yuzhu(Polygonatum odoratum) Bio-Active Component C on Mice Immune Function | 2 |
About Xingyu Pan
Xingyu Pan is a scholar working on Information Systems, Geriatrics and Gerontology and Safety Research, having authored 15 papers that have together received 470 indexed citations. Recurring topics across this work include Recommender Systems and Techniques (5 papers), Topic Modeling (4 papers) and Advanced Graph Neural Networks (3 papers). The work is most often cited by research in Information Systems (325 citations), Artificial Intelligence (264 citations) and Management Science and Operations Research (65 citations). Xingyu Pan has collaborated with scholars based in China, Japan and United States. Frequent co-authors include Wayne Xin Zhao, Ji-Rong Wen, Changxin Tian, Yushuo Chen, Zuowei Wang, Kai S. Cortina, Kevin F. Miller, Xu Chen, Yupeng Hou and Shanlei Mu. Their work appears in journals such as The Science of The Total Environment, Computers & Education and Solar Energy Materials and Solar Cells.
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.