Gunhee Kim

6.1k total citations
106 papers, 3.0k citations indexed

About

Gunhee Kim is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Computer Networks and Communications. According to data from OpenAlex, Gunhee Kim has authored 106 papers receiving a total of 3.0k indexed citations (citations by other indexed papers that have themselves been cited), including 70 papers in Computer Vision and Pattern Recognition, 42 papers in Artificial Intelligence and 9 papers in Computer Networks and Communications. Recurrent topics in Gunhee Kim's work include Multimodal Machine Learning Applications (30 papers), Advanced Image and Video Retrieval Techniques (25 papers) and Topic Modeling (18 papers). Gunhee Kim is often cited by papers focused on Multimodal Machine Learning Applications (30 papers), Advanced Image and Video Retrieval Techniques (25 papers) and Topic Modeling (18 papers). Gunhee Kim collaborates with scholars based in South Korea, United States and United Kingdom. Gunhee Kim's co-authors include Eric P. Xing, Youngjae Yu, Byeongchang Kim, Yale Song, Youngjin Kim, Yunseok Jang, Junhyug Noh, Leonid Sigal, Li Fei-Fei and Takeo Kanade and has published in prestigious journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, Scientific Reports and Small.

In The Last Decade

Gunhee Kim

101 papers receiving 2.9k citations

Peers

Gunhee Kim
Comparison fields: 5 of 133
  • Computer Vision and Pattern Recognition 2.1k
  • Artificial Intelligence 1.2k
  • Signal Processing 189
  • Aerospace Engineering 151
  • Media Technology 140
Replace Xiaoyi Feng with:
Xiaoyi Feng China
Zuxuan Wu China
Jingen Liu United States
Xinmei Tian China
Jian Liang China
Tomas Pfister United States
Steven Lawrence Fernandes India
Marco Bertini Italy
Kai‐Lung Hua Taiwan
Xiaoyi Feng China View profile →
Citations per field, relative to Gunhee Kim
Gunhee Kim · 1×
Citations per year, relative to Gunhee Kim
Gunhee Kim · 1×

Countries citing papers authored by Gunhee Kim

Since Specialization
Citations

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

Fields of papers citing papers by Gunhee Kim

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Gunhee Kim

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

All Works

20 of 20 papers shown
# Work Indexed citations
1 0
2 0
3 2
4
Self-Supervised Learning of Compressed Video Representations
8
5
Parameter Efficient Multimodal Transformers for Video Representation Learning
1
6
A Study on Sports-related Legal Issues Raised by COVID-19
1
7
Pano-AVQA: Grounded Audio-Visual Question Answering on 360deg Videos
1
8 177
9
Self-Routing Capsule Networks
35
10
Curiosity-Bottleneck: Exploration By Distilling Task-Specific Novelty.
14
11
Memorization Precedes Generation: Learning Unsupervised GANs with Memory Networks
5
12 52
13 110
14
SplitNet: Learning to Semantically Split Deep Networks for Parameter Reduction and Model Parallelization.
31
15
Video Captioning and Retrieval Models with Semantic Attention.
20
16
Expressing an image stream with a sequence of natural sentences
46
17 42
18
Unsupervised Detection of Regions of Interest Using Iterative Link Analysis
61
19 1
20
Formation of Mobile Robots with Inaccurate Sensor Information
1

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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