Weiyi Meng
- Information Systems top 5%
- Artificial Intelligence top 10%
- Signal Processing top 10%
- Computer Networks and Communications top 10%
- Computer Vision and Pattern Recognition
- Co-authors
- C. YuFang LiuClement YuNaphtali RisheZonghuan WuWon KimWensheng WuShubhani Aggarwal
- Topics
- Advanced Database Systems and Queries (7 papers)Data Management and Algorithms (6 papers)Web Data Mining and Analysis (4 papers)
- Journals
- IEEE Transactions on Knowledge and Data EngineeringACM SIGMOD RecordDigital Access to Libraries (Université catholique de Louvain (UCL), l'Université de Namur (UNamur) and the Université Saint-Louis (USL-B))
- Partner nations
- United StatesJamaicaCanada
In The Last Decade
Weiyi Meng
11 papers receiving 258 citations
Peers
Comparison fields: 5 of 38
- Information Systems 240
- Artificial Intelligence 122
- Signal Processing 90
- Computer Networks and Communications 79
- Computer Vision and Pattern Recognition 33
Countries citing papers authored by Weiyi Meng
This map shows the geographic impact of Weiyi Meng'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 Weiyi Meng with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Weiyi Meng more than expected).
Fields of papers citing papers by Weiyi Meng
This network shows the impact of papers produced by Weiyi Meng. 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 Weiyi Meng. The network helps show where Weiyi Meng may publish in the future.
Co-authorship network of co-authors of Weiyi Meng
This figure shows the co-authorship network connecting the top 25 collaborators of Weiyi Meng. A scholar is included among the top collaborators of Weiyi Meng 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 Weiyi Meng. Weiyi Meng is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 10 | |
| 3 | 214 | |
| 4 | Raw relation sets, order fusion and top-n query problem | 1 |
| 5 | 27 | |
| 6 | 7 | |
| 7 | 3 | |
| 8 | 7 | |
| 9 | 3 | |
| 10 | Query processing in multidatabase systems | 16 |
| 11 | 9 |
About Weiyi Meng
Weiyi Meng is a scholar working on Signal Processing, Computer Networks and Communications and Information Systems, having authored 11 papers that have together received 298 indexed citations. Recurring topics across this work include Advanced Database Systems and Queries (7 papers), Data Management and Algorithms (6 papers) and Web Data Mining and Analysis (4 papers). The work is most often cited by research in Information Systems (240 citations), Signal Processing (90 citations) and Artificial Intelligence (122 citations). Weiyi Meng has collaborated with scholars based in United States, Jamaica and Canada. Frequent co-authors include C. Yu, Fang Liu, Clement Yu, Naphtali Rishe, Zonghuan Wu, Won Kim, Wensheng Wu, Shubhani Aggarwal, King-Lup Liu and Yiyao Lu. Their work appears in journals such as IEEE Transactions on Knowledge and Data Engineering, ACM SIGMOD Record and Digital Access to Libraries (Université catholique de Louvain (UCL), l'Université de Namur (UNamur) and the Université Saint-Louis (USL-B)).
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.