Weiyi Meng
- Information Systems top 0.2%
- Artificial Intelligence top 0.5%
- Computer Networks and Communications top 1%
- Signal Processing top 0.5%
- Management Science and Operations Research top 1%
- Topics
- Web Data Mining and Analysis (63 papers)Advanced Database Systems and Queries (32 papers)Data Management and Algorithms (26 papers)
- Partner nations
- United StatesChinaUnited Kingdom
In The Last Decade
Weiyi Meng
112 papers receiving 2.9k citations
Peers
Comparison fields: 5 of 106
- Information Systems 2.1k
- Artificial Intelligence 1.6k
- Computer Networks and Communications 1.3k
- Signal Processing 767
- Management Science and Operations Research 428
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 | 0 | |
| 2 | 3 | |
| 3 | 11 | |
| 4 | 6 | |
| 5 | 27 | |
| 6 | 163 | |
| 7 | Truthfulness Analysis of Fact Statements Using the Web. | 1 |
| 8 | 142 | |
| 9 | 102 | |
| 10 | 19 | |
| 11 | 41 | |
| 12 | 14 | |
| 13 | 38 | |
| 14 | 10 | |
| 15 | WISE-Integrator: a system for extracting and integrating complex web search interfaces of the deep web | 29 |
| 16 | WISE-Cluster: Clustering E-Commerce Search Engines Automatically | 10 |
| 17 | 195 | |
| 18 | 7 | |
| 19 | Determining Text Databases to Search in the Internet | 52 |
| 20 | Using the structure of HTML documents to improve retrieval | 40 |
About Weiyi Meng
Weiyi Meng is a scholar working on Information Systems, Computer Networks and Communications and Signal Processing, having authored 119 papers that have together received 3.2k indexed citations. Recurring topics across this work include Web Data Mining and Analysis (63 papers), Advanced Database Systems and Queries (32 papers) and Data Management and Algorithms (26 papers). The work is most often cited by research in Information Systems (2.1k citations), Signal Processing (767 citations) and Computer Networks and Communications (1.3k citations). Weiyi Meng has collaborated with scholars based in United States, China and United Kingdom. Frequent co-authors include Clement Yu, King-Lup Liu, Zonghuan Wu, Fang Liu, Wensheng Wu, Hongkun Zhao, Fang Liu, Xiaofeng Meng, Wei Liu and Eduard Dragut. Their work appears in journals such as ACM Computing Surveys, Information Sciences and Neurocomputing.
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.