Eenjun Hwang

273 total papers · 3.9k total citations
185 papers, 2.7k citations indexed

About

Eenjun Hwang is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Signal Processing. According to data from OpenAlex, Eenjun Hwang has authored 185 papers receiving a total of 2.7k indexed citations (citations by other indexed papers that have themselves been cited), including 85 papers in Computer Vision and Pattern Recognition, 50 papers in Artificial Intelligence and 45 papers in Signal Processing. Recurrent topics in Eenjun Hwang's work include Energy Load and Power Forecasting (31 papers), Music and Audio Processing (29 papers) and Advanced Image and Video Retrieval Techniques (22 papers). Eenjun Hwang is often cited by papers focused on Energy Load and Power Forecasting (31 papers), Music and Audio Processing (29 papers) and Advanced Image and Video Retrieval Techniques (22 papers). Eenjun Hwang collaborates with scholars based in South Korea, United States and Japan. Eenjun Hwang's co-authors include Seungmin Rho, Jihoon Moon, Sungwoo Park, Seungwon Jung, Sung Wook Baik, Seungmin Jung, Jehyeok Rew, Sanghoon Jun, Pilsung Kang and Junhong Kim and has published in prestigious journals such as Expert Systems with Applications, IEEE Access and Sensors.

In The Last Decade

Eenjun Hwang

168 papers receiving 2.6k citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Eenjun Hwang 1.2k 667 643 441 424 185 2.7k
Sung-Bae Cho 871 0.8× 899 1.3× 582 0.9× 272 0.6× 384 0.9× 82 2.6k
El‐Sayed M. El‐kenawy 928 0.8× 1.7k 2.5× 586 0.9× 228 0.5× 207 0.5× 237 4.6k
Abdelhameed Ibrahim‬‬‬‬‬‬‬‬‬‬‬‬‬‬‬‬‬‬‬‬‬‬‬‬‬‬‬‬ 834 0.7× 1.6k 2.3× 693 1.1× 258 0.6× 166 0.4× 160 4.7k
Tanveer Hussain 936 0.8× 1.0k 1.5× 1.3k 2.1× 311 0.7× 266 0.6× 79 3.0k
Mohammad Khishe 770 0.7× 1.8k 2.7× 608 0.9× 259 0.6× 150 0.4× 150 4.1k
Irena Koprinska 912 0.8× 1.3k 1.9× 558 0.9× 365 0.8× 123 0.3× 104 2.9k
Martin Raubal 365 0.3× 432 0.6× 538 0.8× 440 1.0× 437 1.0× 170 3.6k
Athanasios Voulodimos 609 0.5× 1.0k 1.5× 1.2k 1.9× 188 0.4× 290 0.7× 123 4.3k
Flora D. Salim 395 0.3× 527 0.8× 460 0.7× 297 0.7× 750 1.8× 195 2.5k
Yazeed Yasin Ghadi 813 0.7× 759 1.1× 686 1.1× 144 0.3× 177 0.4× 258 3.4k

Countries citing papers authored by Eenjun Hwang

Since Specialization
Citations

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

Fields of papers citing papers by Eenjun Hwang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Eenjun Hwang

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

All Works

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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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2026