Longquan Dai
About
In The Last Decade
Longquan Dai
25 papers receiving 375 citations
Peers
Comparison fields: 5 of 41
- Computer Vision and Pattern Recognition 328
- Artificial Intelligence 115
- Media Technology 84
- Computational Mechanics 74
- Computational Mathematics 58
Countries citing papers authored by Longquan Dai
This map shows the geographic impact of Longquan Dai'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 Longquan Dai with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Longquan Dai more than expected).
Fields of papers citing papers by Longquan Dai
This network shows the impact of papers produced by Longquan Dai. 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 Longquan Dai. The network helps show where Longquan Dai may publish in the future.
Co-authorship network of co-authors of Longquan Dai
This figure shows the co-authorship network connecting the top 25 collaborators of Longquan Dai. A scholar is included among the top collaborators of Longquan Dai 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 Longquan Dai. Longquan Dai 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 | 1 | |
| 3 | 0 | |
| 4 | 1 | |
| 5 | 1 | |
| 6 | 0 | |
| 7 | 6 | |
| 8 | 2 | |
| 9 | 16 | |
| 10 | 1 | |
| 11 | 6 | |
| 12 | Designing by Training: Acceleration Neural Network for Fast High-Dimensional Convolution. | 1 |
| 13 | 6 | |
| 14 | 23 | |
| 15 | 37 | |
| 16 | 5 | |
| 17 | 9 | |
| 18 | 2 | |
| 19 | 2 | |
| 20 | 1 |
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.