Eun‐Sol Kim

772 total citations
31 papers, 463 citations indexed

About

Eun‐Sol Kim is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Molecular Biology. According to data from OpenAlex, Eun‐Sol Kim has authored 31 papers receiving a total of 463 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Computer Vision and Pattern Recognition, 7 papers in Artificial Intelligence and 6 papers in Molecular Biology. Recurrent topics in Eun‐Sol Kim's work include Multimodal Machine Learning Applications (8 papers), Human Pose and Action Recognition (7 papers) and Domain Adaptation and Few-Shot Learning (3 papers). Eun‐Sol Kim is often cited by papers focused on Multimodal Machine Learning Applications (8 papers), Human Pose and Action Recognition (7 papers) and Domain Adaptation and Few-Shot Learning (3 papers). Eun‐Sol Kim collaborates with scholars based in South Korea, Germany and Japan. Eun‐Sol Kim's co-authors include Junhyun Lee, Hyunwoo J. Kim, Jaewoo Kang, Bumsoo Kim, Byoung‐Tak Zhang, Jonghwan Mun, Bumsoo Kim, Minchul Shin, Woo Suk Choi and Jin‐Hyuk Bae and has published in prestigious journals such as Bioinformatics, Advanced Science and Physiologia Plantarum.

In The Last Decade

Eun‐Sol Kim

28 papers receiving 453 citations

Peers

Eun‐Sol Kim
Comparison fields: 5 of 82
  • Computer Vision and Pattern Recognition 299
  • Artificial Intelligence 173
  • Electrical and Electronic Engineering 68
  • Biomedical Engineering 30
  • Human-Computer Interaction 24
Replace Zhaofeng He with:
Zhaofeng He China
Hyuntae Jeong South Korea
Jun Toyama Japan
M. Campani Italy
Pingping Zhang China
Kamalraj Subramaniam India
Rahul Kumar Chaurasiya India
Suman Maloji India
Zhaofeng He China View profile →
Citations per field, relative to Eun‐Sol Kim
Eun‐Sol Kim · 1×
Citations per year, relative to Eun‐Sol Kim
Eun‐Sol Kim · 1×

Countries citing papers authored by Eun‐Sol Kim

Since Specialization
Citations

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

Fields of papers citing papers by Eun‐Sol Kim

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Eun‐Sol Kim

This figure shows the co-authorship network connecting the top 25 collaborators of Eun‐Sol Kim. A scholar is included among the top collaborators of Eun‐Sol 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 Eun‐Sol Kim. Eun‐Sol 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 3
5 7
6 44
7 3
8 10
9 1
10 8
11 22
12 51
13
Differential expression of serine and glycine metabolism-related proteins between follicular neoplasm and Hürthle cell neoplasm.
2
14 1
15 1
16
DeepSchema: automatic schema acquisition from wearable sensor data in restaurant situations
1
17 6
18 0
19 3
20 17

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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