Dongho Kim

604 total citations
18 papers, 190 citations indexed

About

Dongho Kim is a scholar working on Artificial Intelligence, Computer Networks and Communications and Social Psychology. According to data from OpenAlex, Dongho Kim has authored 18 papers receiving a total of 190 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Artificial Intelligence, 3 papers in Computer Networks and Communications and 3 papers in Social Psychology. Recurrent topics in Dongho Kim's work include Speech and dialogue systems (9 papers), Topic Modeling (7 papers) and Reinforcement Learning in Robotics (3 papers). Dongho Kim is often cited by papers focused on Speech and dialogue systems (9 papers), Topic Modeling (7 papers) and Reinforcement Learning in Robotics (3 papers). Dongho Kim collaborates with scholars based in United Kingdom, United States and South Korea. Dongho Kim's co-authors include Steve Young, Matthew Henderson, Pirros Tsiakoulis, Catherine Breslin, Martin Szummer, Milica Gašić, Kee-Eung Kim, Milomir Gašić, K. Sklower and Blaise Thomson and has published in prestigious journals such as IEEE Transactions on Audio Speech and Language Processing, Multimedia Tools and Applications and Journal of Research on Educational Effectiveness.

In The Last Decade

Dongho Kim

17 papers receiving 172 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Dongho Kim United Kingdom 8 140 36 22 22 19 18 190
Moshe Looks United States 9 132 0.9× 29 0.8× 8 0.4× 8 0.4× 14 0.7× 21 178
Karim Tabia France 6 83 0.6× 36 1.0× 16 0.7× 25 1.1× 21 1.1× 26 131
Cong Liao United States 5 117 0.8× 47 1.3× 32 1.5× 38 1.7× 38 2.0× 12 173
Tongtao Zhang United States 10 155 1.1× 16 0.4× 66 3.0× 6 0.3× 31 1.6× 17 234
Sheng Zhou China 9 141 1.0× 18 0.5× 46 2.1× 11 0.5× 63 3.3× 24 195
Ramon Fraga Pereira Brazil 8 176 1.3× 15 0.4× 25 1.1× 12 0.5× 7 0.4× 30 198
Daniel J. Fremont United States 6 68 0.5× 15 0.4× 14 0.6× 14 0.6× 13 0.7× 10 118
Sailik Sengupta United States 6 54 0.4× 40 1.1× 19 0.9× 24 1.1× 30 1.6× 19 110
Mingyue Shang China 9 186 1.3× 20 0.6× 42 1.9× 10 0.5× 46 2.4× 23 267
Hadj Ahmed Bouarara Algeria 8 120 0.9× 25 0.7× 23 1.0× 16 0.7× 58 3.1× 29 179

Countries citing papers authored by Dongho Kim

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

18 of 18 papers shown
1.
Kim, Dongho, et al.. (2024). Deep Learning-based Automatic Modulation Classification using Improved Loss Function. The Journal of Korean Institute of Information Technology. 22(8). 65–73.
2.
Zimmermann, Roger, et al.. (2021). Attentive Transfer Learning via Self-supervised Learning for Cervical Dysplasia Diagnosis. Journal of Information Processing Systems. 17(3). 453–461. 2 indexed citations
3.
Lee, Jongmin, et al.. (2020). Batch Reinforcement Learning with Hyperparameter Gradients. 1. 5725–5735. 2 indexed citations
4.
Lee, Samuel, Seok-Woo Jang, Dongho Kim, Hernsoo Hahn, & Gye-Young Kim. (2020). A Novel Fingerprint Recovery Scheme using Deep Neural Network-based Learning. Multimedia Tools and Applications. 80(26-27). 34121–34135. 8 indexed citations
5.
Huggins‐Manley, Anne Corinne, Carole R. Beal, Sidney K. D’Mello, et al.. (2019). A Commentary on Construct Validity When Using Operational Virtual Learning Environment Data in Effectiveness Studies. Journal of Research on Educational Effectiveness. 12(4). 750–759. 7 indexed citations
6.
Kim, Dongho, et al.. (2018). Distributed Multitask Reinforcement Learning with Quadratic Convergence. Neural Information Processing Systems. 31. 8907–8916. 5 indexed citations
7.
Yuan, Jiangmei, et al.. (2016). Robotics Integration for Learning with Technology.. 2 indexed citations
8.
Su, Pei-Hao, David Vandyke, Milica Gašić, et al.. (2015). Learning from real users: rating dialogue success with neural networks for reinforcement learning in spoken dialogue systems. 2007–2011. 19 indexed citations
9.
Tsiakoulis, Pirros, Catherine Breslin, Milica Gašić, et al.. (2014). Dialogue context sensitive HMM-based speech synthesis. 2554–2558. 4 indexed citations
10.
Kim, Dongho, Matthew Henderson, Milica Gašić, Pirros Tsiakoulis, & Steve Young. (2014). The use of discriminative belief tracking in POMDP-based dialogue systems. 354–359. 2 indexed citations
11.
Gašić, Milomir, Dongho Kim, Pirros Tsiakoulis, et al.. (2014). Incremental on-line adaptation of POMDP-based dialogue managers to extended domains. 140–144. 26 indexed citations
12.
Tsiakoulis, Pirros, et al.. (2014). Dialogue context sensitive speech synthesis using factorized decision trees. 2937–2941. 2 indexed citations
13.
Kim, Dongho, Catherine Breslin, Pirros Tsiakoulis, et al.. (2014). Inverse reinforcement learning for micro-turn management. 328–332. 14 indexed citations
14.
Gašić, Milica, Catherine Breslin, Matthew Henderson, et al.. (2013). POMDP-based dialogue manager adaptation to extended domains. Cambridge University Engineering Department Publications Database. 214–222. 35 indexed citations
15.
Kim, Dongho, et al.. (2012). Cost-Sensitive Exploration in Bayesian Reinforcement Learning. Neural Information Processing Systems. 25. 3068–3076. 5 indexed citations
16.
Kim, Dongho, Jin Hee Kim, & Kee-Eung Kim. (2010). Robust Performance Evaluation of POMDP-Based Dialogue Systems. IEEE Transactions on Audio Speech and Language Processing. 19(4). 1029–1040. 13 indexed citations
17.
Kim, Dongho, et al.. (2008). Effects of user modeling on POMDP-based dialogue systems. 1169–1172. 6 indexed citations
18.
Benzel, Terry, Robert Braden, Dongho Kim, et al.. (2007). Design, deployment, and use of the DETER testbed. 1–1. 38 indexed citations

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.

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