Doheon Lee
About
In The Last Decade
Doheon Lee
213 papers receiving 6.7k citations
Hit Papers
Peers
Comparison fields: 5 of 197
- Molecular Biology 4.1k
- Computational Theory and Mathematics 925
- Artificial Intelligence 873
- Plant Science 811
- Cancer Research 464
Countries citing papers authored by Doheon Lee
This map shows the geographic impact of Doheon Lee'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 Doheon Lee with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Doheon Lee more than expected).
Fields of papers citing papers by Doheon Lee
This network shows the impact of papers produced by Doheon Lee. 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 Doheon Lee. The network helps show where Doheon Lee may publish in the future.
Co-authorship network of co-authors of Doheon Lee
This figure shows the co-authorship network connecting the top 25 collaborators of Doheon Lee. A scholar is included among the top collaborators of Doheon Lee 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 Doheon Lee. Doheon Lee is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 5 | |
| 2 | 5 | |
| 3 | 18 | |
| 4 | 6 | |
| 5 | 31 | |
| 6 | 10 | |
| 7 | Order relation for Type-2 fuzzy values | 1 |
| 8 | 37 | |
| 9 | Investigation of Risk Acceptance and Expectations in Hand and Foot Allotransplantations. | 2 |
| 10 | 6 | |
| 11 | Optical activation of dopamine neurons for 200 milliseconds is sufficient for operant | 2 |
| 12 | Proceedings of the third international workshop on Data and text mining in bioinformatics | 1 |
| 13 | 310 | |
| 14 | Enabling Large-Scale Bayesian Network Learning by Preserving Intercluster Directionality(Artificial Intelligence and Cognitive Science) | 1 |
| 15 | Fuzzy Association Rule Mining for Microarray Time Series Analysis | 5 |
| 16 | Fuzzy continuous petri net-based approach for modeling immune systems | 3 |
| 17 | Assessing the Quality of Fuzzy Partitions Using Relative Intersection(Computation and Computational Models) | 1 |
| 18 | An Efficient Learning Method for Large Bayesian Networks using Clustering | 3 |
| 19 | 7 | |
| 20 | Proceedings of the seventh ACM SIGKDD international conference on Knowledge discovery and data mining | 20 |
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.