Gwantae Kim

511 total citations
17 papers, 166 citations indexed

About

Gwantae Kim is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Geophysics. According to data from OpenAlex, Gwantae Kim has authored 17 papers receiving a total of 166 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Artificial Intelligence, 7 papers in Computer Vision and Pattern Recognition and 6 papers in Geophysics. Recurrent topics in Gwantae Kim's work include Seismology and Earthquake Studies (6 papers), Music and Audio Processing (4 papers) and Earthquake Detection and Analysis (4 papers). Gwantae Kim is often cited by papers focused on Seismology and Earthquake Studies (6 papers), Music and Audio Processing (4 papers) and Earthquake Detection and Analysis (4 papers). Gwantae Kim collaborates with scholars based in South Korea, United States and Slovenia. Gwantae Kim's co-authors include Hanseok Ko, Bonhwa Ku, David K. Han, Jae-Kwang Ahn, Junyeop Lee and Jeongki Min and has published in prestigious journals such as IEEE Access, IEEE Geoscience and Remote Sensing Letters and IEEE Signal Processing Letters.

In The Last Decade

Gwantae Kim

16 papers receiving 163 citations

Peers

Countries citing papers authored by Gwantae Kim

Since Specialization

Citations

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

Fields of papers citing papers by Gwantae Kim

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Gwantae Kim

This figure shows the co-authorship network connecting the top 25 collaborators of Gwantae Kim. A scholar is included among the top collaborators of Gwantae 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 Gwantae Kim. Gwantae 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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17 of 17 papers shown

#	Work	Indexed citations
1	Classification and Magnitude Estimation of Global and Local Seismic Events Using Conformer and Low-Rank Adaptation Fine-Tuning 2024 ·IEEE Geoscience and Remote Sensing Letters ·(unknown), Gwantae Kim, Hanseok Ko	1
2	Sound source localization using complex-valued deep neural networks 2024 ·Gwantae Kim, David K. Han, Hanseok Ko	1
3	Towards Multi-Domain Face Landmark Detection with Synthetic Data from Diffusion Model 2024 ·(unknown), Gwantae Kim, (unknown), Bonhwa Ku, Hanseok Ko	0
4	Channel Shuffle Neural Architecture Search for Key Word Spotting 2023 ·IEEE Signal Processing Letters ·(unknown), (unknown), Gwantae Kim, Hanseok Ko	1
5	MPE4G : Multimodal Pretrained Encoder for Co-Speech Gesture Generation 2023 ·Gwantae Kim, (unknown), (unknown), Hanseok Ko	7
6	The KU-ISPL entry to the GENEA Challenge 2023-A Diffusion Model for Co-speech Gesture generation 2023 ·Gwantae Kim, (unknown), Hanseok Ko	1
7	3D Human Motion Generation from the Text Via Gesture Action Classification and the Autoregressive Model 2022 ·2022 IEEE International Conference on Image Processing (ICIP) ·Gwantae Kim, (unknown), Junyeop Lee, David K. Han, (unknown), Hanseok Ko	1
8	Prototypical Knowledge Distillation for Noise Robust Keyword Spotting 2022 ·IEEE Signal Processing Letters ·(unknown), Gwantae Kim, (unknown), Hanseok Ko	4
9	Feedback Module Based Convolution Neural Networks for Sound Event Classification 2021 ·IEEE Access ·Gwantae Kim, David K. Han, Hanseok Ko	2
10	SpecMix : A Mixed Sample Data Augmentation Method for Training with Time-Frequency Domain Features 2021 ·Gwantae Kim, David K. Han, Hanseok Ko	22
11	Graph Convolution Networks for Seismic Events Classification Using Raw Waveform Data From Multiple Stations 2021 ·IEEE Geoscience and Remote Sensing Letters ·Gwantae Kim, Bonhwa Ku, Jae-Kwang Ahn, Hanseok Ko	20
12	Unsupervised Real-World Super Resolution with Cycle Generative Adversarial Network and Domain Discriminator 2020 ·Gwantae Kim, (unknown), (unknown), Junyeop Lee, Jeongki Min, (unknown), David K. Han, Hanseok Ko	42
13	FBRNN: feedback recurrent neural network for extreme image super-resolution 2020 ·Junyeop Lee, (unknown), (unknown), Jeongki Min, Gwantae Kim, (unknown), Bonhwa Ku, David K. Han, Hanseok Ko	11
14	Convolutional Recurrent Neural Networks for Earthquake Epicentral Distance Estimation Using Single-Channel Seismic Waveform 2020 ·Gwantae Kim, Bonhwa Ku, (unknown), Jeongki Min, (unknown), Hanseok Ko	2
15	Seismic Signal Synthesis by Generative Adversarial Network with Gated Convolutional Neural Network Structure 2020 ·(unknown), Bonhwa Ku, Gwantae Kim, Jae-Kwang Ahn, Hanseok Ko	4
16	Multifeature Fusion-Based Earthquake Event Classification Using Transfer Learning 2020 ·IEEE Geoscience and Remote Sensing Letters ·Gwantae Kim, Bonhwa Ku, Hanseok Ko	19
17	Attention-Based Convolutional Neural Network for Earthquake Event Classification 2020 ·IEEE Geoscience and Remote Sensing Letters ·Bonhwa Ku, Gwantae Kim, Jae-Kwang Ahn, (unknown), Hanseok Ko	28

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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