Yeongjae Cheon
About
In The Last Decade
Yeongjae Cheon
5 papers receiving 138 citations
Peers
Comparison fields: 5 of 41
- Computer Vision and Pattern Recognition 107
- Experimental and Cognitive Psychology 68
- Artificial Intelligence 36
- Signal Processing 19
- Control and Systems Engineering 14
Countries citing papers authored by Yeongjae Cheon
This map shows the geographic impact of Yeongjae Cheon'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 Yeongjae Cheon with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yeongjae Cheon more than expected).
Fields of papers citing papers by Yeongjae Cheon
This network shows the impact of papers produced by Yeongjae Cheon. 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 Yeongjae Cheon. The network helps show where Yeongjae Cheon may publish in the future.
Co-authorship network of co-authors of Yeongjae Cheon
This figure shows the co-authorship network connecting the top 25 collaborators of Yeongjae Cheon. A scholar is included among the top collaborators of Yeongjae Cheon 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 Yeongjae Cheon. Yeongjae Cheon is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 28 | |
| 2 | 13 | |
| 3 | Forecasting Taxi Demands with Fully Convolutional Networks and Temporal Guided Embedding | 4 |
| 4 | 90 | |
| 5 | 15 |
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.