Dongho Kim
- Artificial Intelligence top 10%
- Computer Networks and Communications
- Computer Vision and Pattern Recognition
- Signal Processing
- Information Systems
- Co-authors
- Steve YoungCatherine BreslinMatthew HendersonPirros TsiakoulisMartin SzummerMilica GašićMilomir GašićKee-Eung Kim
- Topics
- Speech and dialogue systems (9 papers)Topic Modeling (7 papers)Reinforcement Learning in Robotics (3 papers)
- Journals
- IEEE Transactions on Audio Speech and Language ProcessingMultimedia Tools and ApplicationsJournal of Research on Educational Effectiveness
- Partner nations
- United KingdomUnited StatesSouth Korea
In The Last Decade
Dongho Kim
17 papers receiving 172 citations
Peers
Comparison fields: 5 of 43
- Artificial Intelligence 140
- Computer Networks and Communications 36
- Computer Vision and Pattern Recognition 22
- Signal Processing 22
- Information Systems 19
Countries citing papers authored by Dongho Kim
This map shows the geographic impact of Dongho 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 Dongho Kim with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Dongho Kim more than expected).
Fields of papers citing papers by Dongho Kim
This network shows the impact of papers produced by Dongho 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 Dongho Kim. The network helps show where Dongho Kim may publish in the future.
Co-authorship network of co-authors of Dongho Kim
This figure shows the co-authorship network connecting the top 25 collaborators of Dongho Kim. A scholar is included among the top collaborators of Dongho 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 Dongho Kim. Dongho 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 | 0 | |
| 2 | Attentive Transfer Learning via Self-supervised Learning for Cervical Dysplasia Diagnosis | 2 |
| 3 | Batch Reinforcement Learning with Hyperparameter Gradients | 2 |
| 4 | 8 | |
| 5 | 7 | |
| 6 | Distributed Multitask Reinforcement Learning with Quadratic Convergence | 5 |
| 7 | Robotics Integration for Learning with Technology. | 2 |
| 8 | 19 | |
| 9 | 4 | |
| 10 | 26 | |
| 11 | 2 | |
| 12 | 2 | |
| 13 | 14 | |
| 14 | POMDP-based dialogue manager adaptation to extended domains | 35 |
| 15 | Cost-Sensitive Exploration in Bayesian Reinforcement Learning | 5 |
| 16 | 13 | |
| 17 | 6 | |
| 18 | Design, deployment, and use of the DETER testbed | 38 |
About Dongho Kim
Dongho Kim is a scholar working on Artificial Intelligence, Computer Science Applications and Signal Processing, having authored 18 papers that have together received 190 indexed citations. Recurring topics across this work include Speech and dialogue systems (9 papers), Topic Modeling (7 papers) and Reinforcement Learning in Robotics (3 papers). The work is most often cited by research in Artificial Intelligence (140 citations), Signal Processing (22 citations) and Computer Networks and Communications (36 citations). Dongho Kim has collaborated with scholars based in United Kingdom, United States and South Korea. Frequent co-authors include Steve Young, Catherine Breslin, Matthew Henderson, Pirros Tsiakoulis, Martin Szummer, Milica Gašić, Milomir Gašić, Kee-Eung Kim, Blaise Thomson and Robert Braden. Their work appears in journals such as IEEE Transactions on Audio Speech and Language Processing, Multimedia Tools and Applications and Journal of Research on Educational Effectiveness.
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.