The chart shows the distribution of publications by all Research.com ranked scientists in the field of Electronics and Electrical Engineering in 2026. The highlighted bar marks where Hyun-Jeong Kang sits on this spectrum.
This scientist: 225 publications — 38th percentile
38% of scientists in this discipline score the same or lower.
The last bar groups every scientist with 1,065 publications or more.
The chart shows the D-index (discipline H-index) distribution of Electronics and Electrical Engineering scientists ranked by Research.com in 2026. The highlighted bar marks where Hyun-Jeong Kang sits on this spectrum.
This scientist: 45 D-Index — 50th percentile
50% of scientists in this discipline score the same or lower.
The last bar groups every scientist with 111 D-Index or more.
Hyun-Jeong Kang is a researcher primarily affiliated with Samsung in South Korea, with a focus on the field of Computer Science. Their work is concentrated predominantly within Artificial Intelligence and Computer Vision and Pattern Recognition, reflecting a specialized interest in advanced computational techniques and their applications.
Their recent scholarly contributions include papers published mostly in the arXiv repository hosted by Cornell University. These papers address various topics related to recommendation systems, user representation, and modality generation in machine learning contexts.
Their research work intersects multiple main topics including Topic Modeling, Natural Language Processing Techniques, Speech Recognition and Synthesis, Advanced Text Analysis Techniques, Human Pose and Action Recognition, Video Surveillance and Tracking Methods, and Multimodal Machine Learning Applications.
Hyun-Jeong Kang has collaborated frequently with several coauthors, indicating a networked research approach. These frequent coauthors include:
Their work appears concentrated in venues related to arXiv, signaling a focus on accessible open research dissemination. The consistent choice of platform might also reflect a preference for rapid sharing of developments in their research community.
Kang's research topics and subfields suggest a strong involvement in the development and enhancement of machine learning techniques for both language and visual data processing. This combination highlights a multidisciplinary approach towards understanding and improving intelligent systems in practical environments, particularly leveraging the synergy between text, speech, and visual recognition technologies.
Yeong-Moon Son;Hyun-Jeong Kang;Kyung-Kyu Kim;Rakesh Taori
Hyun-Jeong Kang;Jung-Je Son;Yeong-Moon Son;Hyoung-Kyu Lim
Chang-Hoi Samsung Electronics Co. Ltd. Koo;Hyun-Jeong Samsung Electronics Co. Ltd. Kang;So-Hyun Samsung Electronics Co. Ltd. Kim;Sung-Jin Samsung Electronics Co. Ltd. Lee
Hyun-Jeong Kang;Chang-Hoi Koo;Jung-Je Son;Hyoung-Kyu Lim
Mi-Hyun Lee;Jae-Weon Cho;Sung-Jin Lee;Hyun-Jeong Kang
Hong Song Nam;Joo Pan Yuh;Son Jung Je;Cho Jae Weon
Young-Bin Chang;Jae-Weon Cho;Eun-Taek Lim;Sung-Jin Lee
Sung-jin Lee;Chang-Hol Koo;Jung-Je Son;Yeong-Moon Son
Ye Cho Jae Weon Kang Hyun Jeon
Kang Hyun Jeong;Kim So Hyun;Koo Chang Hoi;Lee Sung Jin
So-Hyun Kim;Chang-Hoi Koo;Jung-Je Son;Yeong-Moon Son
Mi-hyun Lee;Jae-Weon Cho;Jeong-Ho Park;Song-Nam Hong
Hyun-Jeong Kang;Chang-Hoi Koo;Jung-Je Son;Yeong-Moon Son
Kang Hyun Jeong;Kim So Hyun;Koo Chang Hoi;Lee Sung Jin
Kang Hyun Jeong;Kim So Hyun;Koo Chang Hoi;Lee Sung Jin
Mi-hyun Lee;Pan-Yuh Joo;Jung-Je Son;Jae-Weon Cho
Hyun-Jeong Kang;Chang-Hoi Koo;Jung-Je Son;Yeong-Moon Son
Kang Hyun Jeong;Joo Pan Yuh;Son Jung Je;Cho Jae Weon
Yeong-Moon Son;Kyeong-Tae Do;Sung-wook Park;Jae-Jeong Shim
Kang Hyun Jeong;Joo Pan Yuh;Son Jung Je;Cho Jae Weon
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