Meng Liu
About
In The Last Decade
Meng Liu
46 papers receiving 739 citations
Hit Papers
Peers
Comparison fields: 5 of 107
- Artificial Intelligence 300
- Computer Networks and Communications 139
- Information Systems 104
- Statistical and Nonlinear Physics 96
- Computer Vision and Pattern Recognition 95
Countries citing papers authored by Meng Liu
This map shows the geographic impact of Meng Liu'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 Meng Liu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Meng Liu more than expected).
Fields of papers citing papers by Meng Liu
This network shows the impact of papers produced by Meng Liu. 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 Meng Liu. The network helps show where Meng Liu may publish in the future.
Co-authorship network of co-authors of Meng Liu
This figure shows the co-authorship network connecting the top 25 collaborators of Meng Liu. A scholar is included among the top collaborators of Meng Liu 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 Meng Liu. Meng Liu is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 3 | |
| 2 | 4 | |
| 3 | 1 | |
| 4 | 8 | |
| 5 | 2 | |
| 6 | 12 | |
| 7 | 2 | |
| 8 | A Survey of Knowledge Graph Reasoning on Graph Types: Static, Dynamic, and Multi-Modal breakdown → | 76 |
| 9 | 4 | |
| 10 | 6 | |
| 11 | 0 | |
| 12 | 50 | |
| 13 | 12 | |
| 14 | 21 | |
| 15 | 1 | |
| 16 | 7 | |
| 17 | 9 | |
| 18 | Network Representation Learning Algorithm Based on Neighborhood Influence Sequence | 0 |
| 19 | 26 | |
| 20 | 2 |
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.