Kyungim Baek
- Computer Vision and Pattern Recognition top 5%
- Signal Processing top 5%
- Artificial Intelligence
- Analytical Chemistry top 10%
- Molecular Biology
- Co-authors
- Bruce A. DraperJ. Ross BeveridgeMarian Stewart BartlettMark MenorGuylaine PoissonJonas KrausePeter ŠajdaHenri Casanova
- Topics
- Smart Agriculture and AI (4 papers)Spectroscopy and Chemometric Analyses (3 papers)Genomics and Phylogenetic Studies (3 papers)
- Partner nations
- United StatesFrance
In The Last Decade
Kyungim Baek
17 papers receiving 449 citations
Peers
Comparison fields: 5 of 91
- Computer Vision and Pattern Recognition 312
- Signal Processing 193
- Artificial Intelligence 71
- Analytical Chemistry 47
- Molecular Biology 43
Countries citing papers authored by Kyungim Baek
This map shows the geographic impact of Kyungim Baek'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 Kyungim Baek with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kyungim Baek more than expected).
Fields of papers citing papers by Kyungim Baek
This network shows the impact of papers produced by Kyungim Baek. 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 Kyungim Baek. The network helps show where Kyungim Baek may publish in the future.
Co-authorship network of co-authors of Kyungim Baek
This figure shows the co-authorship network connecting the top 25 collaborators of Kyungim Baek. A scholar is included among the top collaborators of Kyungim Baek 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 Kyungim Baek. Kyungim Baek is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 1 | |
| 3 | 8 | |
| 4 | What's That Plant? WTPlant is a Deep Learning System to Identify Plants in Natural Images. | 1 |
| 5 | 12 | |
| 6 | 9 | |
| 7 | 2 | |
| 8 | 1 | |
| 9 | 12 | |
| 10 | 4 | |
| 11 | 1 | |
| 12 | 4 | |
| 13 | A FUZZY NEURAL NETWORK-BASED DECISION OF ROAD IMAGE QUALITY FOR THE EXTRACTION OF LANE-RELATED INFORMATION | 2 |
| 14 | 0 | |
| 15 | 11 | |
| 16 | 12 | |
| 17 | 347 | |
| 18 | PCA vs. ICA: A Comparison on the FERET Data Set. | 79 |
About Kyungim Baek
Kyungim Baek is a scholar working on General Engineering, Computer Vision and Pattern Recognition and Analytical Chemistry, having authored 18 papers that have together received 507 indexed citations. Recurring topics across this work include Smart Agriculture and AI (4 papers), Spectroscopy and Chemometric Analyses (3 papers) and Genomics and Phylogenetic Studies (3 papers). The work is most often cited by research in Signal Processing (193 citations), Computer Vision and Pattern Recognition (312 citations) and Media Technology (43 citations). Kyungim Baek has collaborated with scholars based in United States and France. Frequent co-authors include Bruce A. Draper, J. Ross Beveridge, Marian Stewart Bartlett, Mark Menor, Guylaine Poisson, Jonas Krause, Peter Šajda, Henri Casanova, Norman Lay and Ryan L. Perroy. Their work appears in journals such as International Journal of Molecular Sciences, Journal of Food Science and BMC Genomics.
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.