Weipeng Yan
Impact in
- Signal Processing top 10%
- Data Management and Algorithms
- Information Systems top 10%
- Recommender Systems and Techniques
- Data Mining Algorithms and Applications
- Web Data Mining and Analysis
Papers in
-
- Topic Modeling 4
- Sentiment Analysis and Opinion Mining 2
- Semantic Web and Ontologies 2
- Speech and dialogue systems 2
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- Advanced Database Systems and Queries 4
- Co-authors
- Per-Åke Larson (1 shared paper)Yongjun Bao (7 shared papers)Zhuoye Ding (4 shared papers)Yiding Liu (1 shared paper)Yulong Gu (1 shared paper)Ziyi Guo (1 shared paper)Hongshen Chen (3 shared papers)Paul A. Larson (1 shared paper)
- Journals
- Neurocomputing (1 paper)Rare & Special e-Zone (The Hong Kong University of Science and Technology) (1 paper)Proceedings of the ACM Web Conference 2022 (1 paper)Proceedings of the AAAI Conference on Artificial Intelligence (2 papers)Conference of the Centre for Advanced Studies on Collaborative Research (2 papers)
- Partner nations
- ChinaCanadaUnited States
In The Last Decade
Weipeng Yan
13 papers receiving 181 citations
Peers
Comparison fields: 5 of 30
- Signal Processing 68
- Information Systems 90
- Artificial Intelligence 109
- Computer Networks and Communications 77
- Computer Vision and Pattern Recognition 35
Countries citing papers authored by Weipeng Yan
This map shows the geographic impact of Weipeng 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 Weipeng Yan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Weipeng Yan more than expected).
Fields of papers citing papers by Weipeng Yan
This network shows the impact of papers produced by Weipeng 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 Weipeng Yan. The network helps show where Weipeng Yan may publish in the future.
Co-authors
The 25 scholars most cited alongside Weipeng 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 | Performing Group-By before Join | 1994 | 65 |
| 2 | 2020 | 37 | |
| 3 | 2020 | 22 | |
| 4 | 2020 | 12 | |
| 5 | 2020 | 10 | |
| 6 | 2021 | 9 | |
| 7 | 2021 | 9 | |
| 8 | 2020 | 8 | |
| 9 | Data reduction through early grouping | 1994 | 7 |
| 10 | 2023 | 3 | |
| 11 | 2022 | 3 | |
| 12 | 2022 | 3 | |
| 13 | 1996 | 2 | |
| 14 | Interchanging group-by and join in distributed query processing | 1993 | 0 |
About Weipeng Yan
Weipeng Yan is a scholar working on Artificial Intelligence, Computer Networks and Communications, Information Systems, Computer Vision and Pattern Recognition and Signal Processing, having authored 14 papers that have together received 190 indexed citations. Recurring topics across this work include Advanced Database Systems and Queries (4 papers), Topic Modeling (4 papers), Data Management and Algorithms (3 papers), Sentiment Analysis and Opinion Mining (2 papers), Recommender Systems and Techniques (2 papers), Image and Video Quality Assessment (2 papers), Semantic Web and Ontologies (2 papers) and Speech and dialogue systems (2 papers). The work is most often cited by research in Signal Processing (68 citations), Information Systems (90 citations), Artificial Intelligence (109 citations), Computer Networks and Communications (77 citations) and Computer Vision and Pattern Recognition (35 citations). Weipeng Yan has collaborated with scholars based in China, Canada and United States. Frequent co-authors include Per-Åke Larson, Yongjun Bao, Zhuoye Ding, Yiding Liu, Yulong Gu, Ziyi Guo, Hongshen Chen, Paul A. Larson, Xiaofang Zhao and Hengyi Cai. Their work appears in journals such as Neurocomputing, Rare & Special e-Zone (The Hong Kong University of Science and Technology), Proceedings of the ACM Web Conference 2022, Proceedings of the AAAI Conference on Artificial Intelligence and Conference of the Centre for Advanced Studies on Collaborative Research.
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.