Xifeng Yan
- Signal Processing top 0.1%
- Data Management and Algorithms 34
- Information Systems top 0.02%
- Data Mining Algorithms and Applications 42
- Software top 0.5%
- Artificial Intelligence top 0.1%
- Advanced Graph Neural Networks 38
- Topic Modeling 32
- Natural Language Processing Techniques 19
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- Graph Theory and Algorithms 34
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- Complex Network Analysis Techniques 35
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- Advanced Database Systems and Queries 24
- Journals
- Proceedings of the VLDB Endowment (13 papers)IEEE Transactions on Knowledge and Data Engineering (7 papers)Bioinformatics (3 papers)
- Partner nations
- United StatesChinaSingapore
In The Last Decade
Xifeng Yan
174 papers receiving 10.8k citations
Hit Papers
Peers
Comparison fields: 5 of 161
- Signal Processing 2.8k
- Information Systems 5.7k
- Software 843
- Artificial Intelligence 5.8k
- Computer Vision and Pattern Recognition 2.6k
Countries citing papers authored by Xifeng Yan
This map shows the geographic impact of Xifeng Yan'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 Xifeng Yan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Xifeng Yan more than expected).
Fields of papers citing papers by Xifeng Yan
This network shows the impact of papers produced by Xifeng Yan. 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 Xifeng Yan. The network helps show where Xifeng Yan may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Xifeng Yan, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 1 | |
| 2 | 2024 | 1 | |
| 3 | 2024 | 0 | |
| 4 | 2024 | 6 | |
| 5 | 2023 | 15 | |
| 6 | 2023 | 14 | |
| 7 | 2022 | 18 | |
| 8 | 2022 | 11 | |
| 9 | 2021 | 6 | |
| 10 | 2020 | 67 | |
| 11 | Enhancing the Locality and Breaking the Memory Bottleneck of Transformer on Time Series Forecasting | 2019 | 47 |
| 12 | 2018 | 68 | |
| 13 | 2016 | 54 | |
| 14 | 2012 | 3 | |
| 15 | EntityRank: searching entities directly and holistically | 2007 | 109 |
| 16 | Towards graph containment search and indexing | 2007 | 55 |
| 17 | Mining compressed frequent-pattern sets | 2005 | 127 |
| 18 | 2005 | 222 | |
| 19 | gSpan: graph-based substructure pattern miningbreakdown → | 2003 | 1259 |
| 20 | 2003 | 300 |
About Xifeng Yan
Xifeng Yan is a scholar working on Signal Processing, Artificial Intelligence and Information Systems, having authored 179 papers that have together received 11.4k indexed citations. Recurring topics across this work include Data Mining Algorithms and Applications (42 papers), Advanced Graph Neural Networks (38 papers), Complex Network Analysis Techniques (35 papers), Graph Theory and Algorithms (34 papers), Data Management and Algorithms (34 papers), Topic Modeling (32 papers), Advanced Database Systems and Queries (24 papers) and Natural Language Processing Techniques (19 papers). The work is most often cited by research in Signal Processing (2.8k citations), Information Systems (5.7k citations) and Software (843 citations). Xifeng Yan has collaborated with scholars based in United States, China and Singapore. Frequent co-authors include Jiawei Han, Jiawei Han, Philip S. Yu, Hong Cheng, Yizhou Sun, Dong Xin, Tianyi Wu, Arijit Khan, Samuel P. Midkiff and Chao Liu. Their work appears in journals such as Proceedings of the VLDB Endowment, IEEE Transactions on Knowledge and Data Engineering, Bioinformatics, Knowledge and Information Systems and ACM Transactions on Knowledge Discovery from Data.
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.