Yulong Pei
- Artificial Intelligence top 5%
- Statistical and Nonlinear Physics top 5%
- Computer Networks and Communications top 10%
- Information Systems top 10%
- Computer Vision and Pattern Recognition top 10%
- Co-authors
- Mykola PechenizkiyWenpeng YinNilanjan ChakrabortyNegar AhmadiGeorge FletcherRosa SiciliaPaolo SodaEvelien Carrette
- Topics
- Complex Network Analysis Techniques (23 papers)Advanced Graph Neural Networks (14 papers)Topic Modeling (8 papers)
- Cited by
- Statistical and Nonlinear PhysicsArtificial IntelligenceComputer Networks and Communications
- Partner nations
- NetherlandsChinaUnited States
In The Last Decade
Yulong Pei
64 papers receiving 678 citations
Peers
Comparison fields: 5 of 90
- Artificial Intelligence 388
- Statistical and Nonlinear Physics 194
- Computer Networks and Communications 107
- Information Systems 101
- Computer Vision and Pattern Recognition 86
Countries citing papers authored by Yulong Pei
This map shows the geographic impact of Yulong Pei'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 Yulong Pei with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yulong Pei more than expected).
Fields of papers citing papers by Yulong Pei
This network shows the impact of papers produced by Yulong Pei. 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 Yulong Pei. The network helps show where Yulong Pei may publish in the future.
Co-authorship network of co-authors of Yulong Pei
This figure shows the co-authorship network connecting the top 25 collaborators of Yulong Pei. A scholar is included among the top collaborators of Yulong Pei 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 Yulong Pei. Yulong Pei 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 | 2 | |
| 5 | 11 | |
| 6 | 2 | |
| 7 | 28 | |
| 8 | 2 | |
| 9 | 61 | |
| 10 | 17 | |
| 11 | 4 | |
| 12 | Nonnegative matrix tri-factorization with graph regularization for community detection in social networks | 75 |
| 13 | Optimizing sentence modeling and selection for document summarization | 55 |
| 14 | 7 | |
| 15 | An Improved Real-time Detection and Localization Scheme for Pedestrian Based on Information Fusion | 1 |
| 16 | A Supervised Aggregation Framework for Multi-Document Summarization | 9 |
| 17 | SentTopic-MultiRank: a Novel Ranking Model for Multi-Document Summarization | 7 |
| 18 | RelationListwise for Query-Focused Multi-Document Summarization | 1 |
| 19 | Study on Optimization Model for City Highway Network | 1 |
| 20 | STUDY OF A COMPREHENSIVE METHOD FOR FORECASTING TRAFFIC VOLUME OF THE ARTERIAL HIGHWAY NETWORK | 0 |
About Yulong Pei
Yulong Pei is a scholar working on Statistical and Nonlinear Physics, Artificial Intelligence and Transportation, having authored 71 papers that have together received 703 indexed citations. Recurring topics across this work include Complex Network Analysis Techniques (23 papers), Advanced Graph Neural Networks (14 papers) and Topic Modeling (8 papers). The work is most often cited by research in Statistical and Nonlinear Physics (194 citations), Artificial Intelligence (388 citations) and Computer Networks and Communications (107 citations). Yulong Pei has collaborated with scholars based in Netherlands, China and United States. Frequent co-authors include Mykola Pechenizkiy, Wenpeng Yin, Nilanjan Chakraborty, Negar Ahmadi, George Fletcher, Rosa Sicilia, Paolo Soda, Evelien Carrette, Albert P. Aldenkamp and Jianpeng Zhang. Their work appears in journals such as Expert Systems with Applications, IEEE Access and Information Sciences.
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.