Dae Ha Kim

536 total citations
30 papers, 230 citations indexed

About

Dae Ha Kim is a scholar working on Computer Vision and Pattern Recognition, Experimental and Cognitive Psychology and Artificial Intelligence. According to data from OpenAlex, Dae Ha Kim has authored 30 papers receiving a total of 230 indexed citations (citations by other indexed papers that have themselves been cited), including 21 papers in Computer Vision and Pattern Recognition, 10 papers in Experimental and Cognitive Psychology and 9 papers in Artificial Intelligence. Recurrent topics in Dae Ha Kim's work include Emotion and Mood Recognition (10 papers), Face and Expression Recognition (9 papers) and Face recognition and analysis (6 papers). Dae Ha Kim is often cited by papers focused on Emotion and Mood Recognition (10 papers), Face and Expression Recognition (9 papers) and Face recognition and analysis (6 papers). Dae Ha Kim collaborates with scholars based in South Korea, United States and Germany. Dae Ha Kim's co-authors include Byung Cheol Song, JungHo Jeon, Seunghyun Lee, Seung Hyun Lee, Taeyoung Han, Joon‐Hyuk Chang, Seunghyun Kang, Jaewoong Choi, Do Yeon Kim and Deok‐Hwan Kim and has published in prestigious journals such as Expert Systems with Applications, IEEE Access and Sensors.

In The Last Decade

Dae Ha Kim

29 papers receiving 222 citations

Peers

Dae Ha Kim

CVPR

ECP

Qiangchang Wang China

Gengming Zhu China

Farnaz Abtahi United States

Jinhyeok Jang South Korea

Yushan Wu China

R. Gnana Praveen Canada

Dewi Yanti Liliana Indonesia

Chaabane Djéraba France

Wenzhong Lin China

Séverine Dubuisson France

Qiangchang Wang China

Dae Ha Kim

273 ×2.1

CVPR

192 ×2.2

ECP

49 ×0.7

32 ×0.8

14 ×0.8

Citations per year, relative to Dae Ha Kim Dae Ha Kim (= 1×) peers Qiangchang Wang

Countries citing papers authored by Dae Ha Kim

Since Specialization

Citations

This map shows the geographic impact of Dae Ha 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 Dae Ha Kim with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Dae Ha Kim more than expected).

Fields of papers citing papers by Dae Ha Kim

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Dae Ha 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 Dae Ha Kim. The network helps show where Dae Ha Kim may publish in the future.

Co-authorship network of co-authors of Dae Ha Kim

This figure shows the co-authorship network connecting the top 25 collaborators of Dae Ha Kim. A scholar is included among the top collaborators of Dae Ha 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 Dae Ha Kim. Dae Ha Kim is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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20 of 20 papers shown

Gil, Junsu, Meehye Lee, Clara Betancourt, et al.. (2025). Interpolation of missing ozone data using graph machine learning and parameter analysis through eXplainable artificial intelligence comparison. Environmental Modelling & Software. 190. 106466–106466. 1 indexed citations

Kim, Dae Ha, et al.. (2024). Toward Identity-Invariant Facial Expression Recognition: Disentangled Representation via Mutual Information Perspective. IEEE Access. 12. 67847–67859.

Kim, Dae Ha, et al.. (2024). Towards the adversarial robustness of facial expression recognition: Facial attention-aware adversarial training. Neurocomputing. 584. 127588–127588. 5 indexed citations

Kim, Dae Ha, et al.. (2023). Beyond superficial emotion recognition: Modality-adaptive emotion recognition system. Expert Systems with Applications. 235. 121097–121097. 5 indexed citations

Park, Sang-Jin, Dae Ha Kim, & Byung Cheol Song. (2023). Fine Gaze Redirection Learning with Gaze Hardness-aware Transformation. 2023 IEEE/CVF Winter Conference on Applications of Computer Vision (WACV). 29. 3453–3462. 1 indexed citations

Kim, Dae Ha, Bosung Seo, Jae‐Young Park, et al.. (2022). Enhancement of the corrosion properties of selective laser melted Co-Cr-Mo alloy by selective oxidation annealing. Materials Characterization. 195. 112489–112489. 4 indexed citations

Choi, Jaewoong, Dae Ha Kim, Sanghyuk Lee, Sang-Hyuk Lee, & Byung Cheol Song. (2022). Synthesized rain images for deraining algorithms. Neurocomputing. 492. 421–439. 7 indexed citations

Kim, Seong Ho, Dong Jun Lee, Dae Ha Kim, & Byung Cheol Song. (2022). Continuous Engagement Estimation based on Gaze Estimation and Facial Expression Recognition. 937–939. 1 indexed citations

Kim, Dae Ha & Byung Cheol Song. (2021). Deep Metric Learning With Manifold Class Variability Analysis. IEEE Transactions on Multimedia. 24. 3533–3544. 2 indexed citations

10.

Kim, Dae Ha, et al.. (2021). Metric-Based Attention Feature Learning for Video Action Recognition. IEEE Access. 9. 39218–39228. 7 indexed citations

11.

Song, Byung Cheol & Dae Ha Kim. (2021). Hidden Emotion Detection using Multi-modal Signals. 1–7. 6 indexed citations

12.

Kim, Dae Ha, et al.. (2020). Visual Scene-Aware Hybrid and Multi-Modal Feature Aggregation for Facial Expression Recognition. Sensors. 20(18). 5184–5184. 2 indexed citations

13.

Kim, Dae Ha & Byung Cheol Song. (2020). Virtual sample-based deep metric learning using discriminant analysis. Pattern Recognition. 110. 107643–107643. 11 indexed citations

14.

Kim, Dae Ha, et al.. (2019). Macro unit-based convolutional neural network for very light-weight deep learning. Image and Vision Computing. 87. 68–75. 2 indexed citations

15.

Kim, Dae Ha, et al.. (2018). Recognizing Fine Facial Micro-Expressions Using Two-Dimensional Landmark Feature. 1962–1966. 16 indexed citations

16.

Kim, Dae Ha, et al.. (2018). Deep Transfer Learning for Emotion Recognition Networks. 206–212. 1 indexed citations

17.

Han, Taeyoung, Dae Ha Kim, Seung Hyun Lee, & Byung Cheol Song. (2018). Infrared image super-resolution using auxiliary convolutional neural network and visible image under low-light conditions. Journal of Visual Communication and Image Representation. 51. 191–200. 17 indexed citations

18.

Kim, Dae Ha, et al.. (2008). Characterization of 2-bit Recessed Channel Memory with Lifted-Charge Trapping Node (L-CTN) Scheme. IEICE Transactions on Electronics. E91-C(5). 742–746. 1 indexed citations

19.

Kang, Seunghyun, et al.. (2008). A Support Vector Machine-Based Gender Identification Using Speech Signal. IEICE Transactions on Communications. E91-B(10). 3326–3329. 17 indexed citations

20.

Kim, Dae Ha, et al.. (2006). TSK-Based Linguistic Fuzzy Model with Uncertain Model Output. IEICE Transactions on Information and Systems. E89-D(12). 2919–2923. 7 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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