Hongshik Ahn
- Molecular Biology
- Artificial Intelligence top 5%
- Computer Vision and Pattern Recognition top 10%
- Experimental and Cognitive Psychology top 10%
- Psychiatry and Mental health
- Co-authors
- Hojin MoonJames J. ChenRalph L. KodellJungnam JooMichael HadjiargyrouMark E. JurmanClinton T. RubinShan-Chuan Zhao
- Topics
- Gene expression and cancer classification (8 papers)Machine Learning and Data Classification (6 papers)Face and Expression Recognition (6 papers)
- Journals
- Journal of Biological ChemistryJournal of Psychiatric ResearchComputational Statistics & Data Analysis
- Partner nations
- United StatesItalyChina
In The Last Decade
Hongshik Ahn
20 papers receiving 730 citations
Peers
Comparison fields: 5 of 140
- Molecular Biology 227
- Artificial Intelligence 216
- Computer Vision and Pattern Recognition 87
- Experimental and Cognitive Psychology 83
- Psychiatry and Mental health 67
Countries citing papers authored by Hongshik Ahn
This map shows the geographic impact of Hongshik Ahn'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 Hongshik Ahn with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Hongshik Ahn more than expected).
Fields of papers citing papers by Hongshik Ahn
This network shows the impact of papers produced by Hongshik Ahn. 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 Hongshik Ahn. The network helps show where Hongshik Ahn may publish in the future.
Co-authorship network of co-authors of Hongshik Ahn
This figure shows the co-authorship network connecting the top 25 collaborators of Hongshik Ahn. A scholar is included among the top collaborators of Hongshik Ahn 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 Hongshik Ahn. Hongshik Ahn 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 | 13 | |
| 3 | 13 | |
| 4 | 20 | |
| 5 | 3 | |
| 6 | 1 | |
| 7 | 1 | |
| 8 | 6 | |
| 9 | A novel combining algorithm in classification | 0 |
| 10 | 2 | |
| 11 | 94 | |
| 12 | 12 | |
| 13 | 7 | |
| 14 | 70 | |
| 15 | 67 | |
| 16 | 14 | |
| 17 | 65 | |
| 18 | 116 | |
| 19 | 3 | |
| 20 | 226 |
About Hongshik Ahn
Hongshik Ahn is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Statistics and Probability, having authored 22 papers that have together received 764 indexed citations. Recurring topics across this work include Gene expression and cancer classification (8 papers), Machine Learning and Data Classification (6 papers) and Face and Expression Recognition (6 papers). The work is most often cited by research in Applied Psychology (41 citations), Artificial Intelligence (216 citations) and Experimental and Cognitive Psychology (83 citations). Hongshik Ahn has collaborated with scholars based in United States, Italy and China. Frequent co-authors include Hojin Moon, James J. Chen, Ralph L. Kodell, Jungnam Joo, Michael Hadjiargyrou, Mark E. Jurman, Clinton T. Rubin, Shan-Chuan Zhao, David W. White and Wolfgang Ahrens. Their work appears in journals such as Journal of Biological Chemistry, Journal of Psychiatric Research and Computational Statistics & Data Analysis.
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.