Eenjun Hwang

3.9k citations
185 papers · 2.7k · h-index 26

Impact in

Papers in

Eenjun Hwang

169 papers receiving 2.6k citations

Peers

Eenjun Hwang
Comparison fields: 5 of 151
  • Signal Processing 444
  • Building and Construction 428
  • Computer Vision and Pattern Recognition 648
  • Ecological Modeling 104
  • Artificial Intelligence 671
Replace Sung-Bae Cho with:
Sung-Bae Cho South Korea
Raja Jurdak Australia
Wen Hu Australia
Zhiheng Li China
Tanveer Hussain South Korea
Nirvana Meratnia Netherlands
Pu Wang China
Carlos T. Calafate Spain
Anh‐Tu Nguyen France
Bistra Dilkina United States
Eenjun Hwang relative to Sung-Bae Cho South Korea Sung-Bae Cho's profile →
Citations per field
00.5×6.1×
Sung-Bae Cho · 1×
Citations per year

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-authors

The 25 scholars most cited alongside Eenjun Hwang, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Eenjun Hwang Line = papers co-authored together Eenjun Hwang links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 185 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2019200
2 2019169
3 2020117
4 2018112
5 202195
6 200995
7 201981
8 200973
9 202064
10 202063
11 202060
12 200757
13 201756
14 202051
15 200749
16 202147
17 202046
18 202145
19 202143
20 202143

About Eenjun Hwang

Eenjun Hwang is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence, Signal Processing, Electrical and Electronic Engineering and Computer Networks and Communications, having authored 185 papers that have together received 2.7k indexed citations. Recurring topics across this work include Energy Load and Power Forecasting (31 papers), Music and Audio Processing (29 papers), Advanced Image and Video Retrieval Techniques (22 papers), Speech and Audio Processing (21 papers), Music Technology and Sound Studies (19 papers), Video Analysis and Summarization (17 papers), Solar Radiation and Photovoltaics (16 papers) and Anomaly Detection Techniques and Applications (15 papers). The work is most often cited by research in Signal Processing (444 citations), Building and Construction (428 citations), Computer Vision and Pattern Recognition (648 citations), Ecological Modeling (104 citations) and Artificial Intelligence (671 citations). Eenjun Hwang has collaborated with scholars based in South Korea, United States and Japan. Frequent co-authors include Seungmin Rho, Jihoon Moon, Sungwoo Park, Seungwon Jung, Sung Wook Baik, Seungmin Jung, Jehyeok Rew, Sanghoon Jun, Junhong Kim and Pilsung Kang. Their work appears in journals such as Multimedia Tools and Applications, Sensors, Remote Sensing, Applied Sciences and Computers, materials & continua/Computers, materials & continua (Print).

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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