Byeongchang Kim
About
In The Last Decade
Byeongchang Kim
15 papers receiving 329 citations
Peers
Comparison fields: 5 of 37
- Artificial Intelligence 225
- Computer Vision and Pattern Recognition 170
- Signal Processing 28
- Information Systems 18
- Experimental and Cognitive Psychology 15
Countries citing papers authored by Byeongchang Kim
This map shows the geographic impact of Byeongchang Kim'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 Byeongchang Kim with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Byeongchang Kim more than expected).
Fields of papers citing papers by Byeongchang Kim
This network shows the impact of papers produced by Byeongchang Kim. 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 Byeongchang Kim. The network helps show where Byeongchang Kim may publish in the future.
Co-authorship network of co-authors of Byeongchang Kim
This figure shows the co-authorship network connecting the top 25 collaborators of Byeongchang Kim. A scholar is included among the top collaborators of Byeongchang Kim 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 Byeongchang Kim. Byeongchang Kim 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 | 40 | |
| 3 | 9 | |
| 4 | 34 | |
| 5 | 47 | |
| 6 | 4 | |
| 7 | 27 | |
| 8 | 37 | |
| 9 | 110 | |
| 10 | 5 | |
| 11 | 3 | |
| 12 | 6 | |
| 13 | 16 | |
| 14 | Automatic Corpus-based Tone Prediction using K-ToBI Representation | 1 |
| 15 | 6 |
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.