Junae Kim

530 total citations
14 papers, 326 citations indexed

About

Junae Kim is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Computational Mechanics. According to data from OpenAlex, Junae Kim has authored 14 papers receiving a total of 326 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Artificial Intelligence, 7 papers in Computer Vision and Pattern Recognition and 6 papers in Computational Mechanics. Recurrent topics in Junae Kim's work include Sparse and Compressive Sensing Techniques (6 papers), Face and Expression Recognition (6 papers) and Machine Learning and Algorithms (3 papers). Junae Kim is often cited by papers focused on Sparse and Compressive Sensing Techniques (6 papers), Face and Expression Recognition (6 papers) and Machine Learning and Algorithms (3 papers). Junae Kim collaborates with scholars based in Australia, Switzerland and Italy. Junae Kim's co-authors include Lei Wang, Chunhua Shen, Anton van den Hengel, Hanzi Wang, Chunhua Shen, Chunhua Shen, Fayao Liu, Paul Montague, Xuming He and Claudia Szabo and has published in prestigious journals such as ACM Computing Surveys, IEEE Transactions on Neural Networks and Learning Systems and Journal of Machine Learning Research.

In The Last Decade

Junae Kim

13 papers receiving 316 citations

Peers

Junae Kim
Comparison fields: 5 of 49
  • Computer Vision and Pattern Recognition 236
  • Artificial Intelligence 118
  • Computational Mechanics 42
  • Electrical and Electronic Engineering 38
  • Signal Processing 30
Replace N.B. Karayiannis with:
N.B. Karayiannis United States
Chunhua Shen Australia
Murat H. Sazlı Türkiye
Matthieu Courbariaux Canada
Shibin Parameswaran United States
Victor Lempitsky Russia
Yanwei Pang China
Ming Xiang China
Phil Sallee United States
Ali Asghar Beheshti Shirazi Iran
N.B. Karayiannis United States View profile →
Citations per field, relative to Junae Kim
Junae Kim · 1×
Citations per year, relative to Junae Kim
Junae Kim · 1×

Countries citing papers authored by Junae Kim

Since Specialization
Citations

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

Fields of papers citing papers by Junae Kim

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Junae Kim

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

All Works

14 of 14 papers shown
# Work Indexed citations
1 0
2 7
3 1
4 15
5 8
6 30
7 51
8 7
9 7
10 17
11 16
12 49
13 58
14 60

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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