DaeEun Kim

2.1k total citations · 1 hit paper
80 papers, 1.5k citations indexed

About

DaeEun Kim is a scholar working on Computer Vision and Pattern Recognition, Cognitive Neuroscience and Aerospace Engineering. According to data from OpenAlex, DaeEun Kim has authored 80 papers receiving a total of 1.5k indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Computer Vision and Pattern Recognition, 17 papers in Cognitive Neuroscience and 16 papers in Aerospace Engineering. Recurrent topics in DaeEun Kim's work include Robotics and Sensor-Based Localization (14 papers), Robotic Path Planning Algorithms (12 papers) and Advanced Image and Video Retrieval Techniques (8 papers). DaeEun Kim is often cited by papers focused on Robotics and Sensor-Based Localization (14 papers), Robotic Path Planning Algorithms (12 papers) and Advanced Image and Video Retrieval Techniques (8 papers). DaeEun Kim collaborates with scholars based in South Korea, United Kingdom and Germany. DaeEun Kim's co-authors include Jaehong Lee, Taeyoon Lee, Seulgee Kim, Sang-Geun Lee, Ralf Möller, Dae‐Eun Kim, Jae‐Kang Kim, S.A. Al-Sayari, Hassan Algadi and Changmin Lee and has published in prestigious journals such as ACS Nano, Scientific Reports and Small.

In The Last Decade

DaeEun Kim

75 papers receiving 1.5k citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Aerobic exercise attenuates LPS-induced cognitive dysfunction by reducing oxidative stress, glial activation, and neuroinflammation

2024 64 citations Jae-Won Choi, DaeEun Kim et al. Redox Biology profile →

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
DaeEun Kim South Korea	16	899	490	366	333	164	80	1.5k
Shuo Gao China	26	961 1.1×	465 0.9×	506 1.4×	200 0.6×	157 1.0×	164	2.0k
Wenbo Ding China	23	1.2k 1.3×	412 0.8×	833 2.3×	566 1.7×	295 1.8×	91	2.1k
Toshiharu Mukai Japan	23	1.2k 1.3×	327 0.7×	322 0.9×	254 0.8×	391 2.4×	140	2.0k
Jongwoo Lee United States	18	1.7k 1.9×	324 0.7×	513 1.4×	277 0.8×	296 1.8×	115	2.5k
Tong Li China	17	586 0.7×	331 0.7×	201 0.5×	122 0.4×	97 0.6×	91	1.1k
Giovanni Saggio Italy	25	1.0k 1.2×	460 0.9×	465 1.3×	121 0.4×	151 0.9×	167	2.2k
Yun Gao China	19	666 0.7×	532 1.1×	260 0.7×	249 0.7×	196 1.2×	71	2.0k
Yuan Ma China	23	828 0.9×	233 0.5×	490 1.3×	177 0.5×	408 2.5×	100	2.2k
Xuechuan Shan Singapore	18	1.4k 1.6×	527 1.1×	702 1.9×	394 1.2×	303 1.8×	92	1.9k
Rong Zhu China	31	2.2k 2.5×	694 1.4×	1.1k 3.0×	386 1.2×	303 1.8×	135	3.5k

Countries citing papers authored by DaeEun Kim

Since Specialization

Citations

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

Fields of papers citing papers by DaeEun Kim

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of DaeEun Kim

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

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

1.

Choi, Jae-Won, et al.. (2024). Aerobic exercise attenuates LPS-induced cognitive dysfunction by reducing oxidative stress, glial activation, and neuroinflammation. Redox Biology. 71. 103101–103101. 64 indexed citations breakdown →

2.

Kim, DaeEun, et al.. (2024). Social status mediates the propagation of unfairness. Frontiers in Psychology. 15. 1253831–1253831. 1 indexed citations

3.

Kim, DaeEun, et al.. (2023). Morphological Changes in Quadriceps Muscles through 3-Week Combined Exercise using a Wearable Robot (EX1) in Young Adult. Physical therapy rehabilitation science. 12(1). 33–42. 3 indexed citations

4.

Jang, Hyoeun, Sanghee Kim, DaeEun Kim, et al.. (2022). “It's a part of the patient”: The experiences of patients with cancer undergoing home-based chemotherapy from patients' and nurses' perspectives. Asia-Pacific Journal of Oncology Nursing. 9(8). 100072–100072. 4 indexed citations

5.

Kim, Kun-Il, et al.. (2022). Ingroup favoritism overrides fairness when resources are limited. Scientific Reports. 12(1). 16 indexed citations

6.

Kim, DaeEun, et al.. (2021). Increased Conformity to Social Hierarchy Under Public Eyes. Frontiers in Psychology. 12. 636801–636801. 4 indexed citations

7.

Lee, Anna, et al.. (2021). The effect of pelvic movements of a gait training system for stroke patients: a single blind, randomized, parallel study. Journal of NeuroEngineering and Rehabilitation. 18(1). 185–185. 11 indexed citations

8.

Lee, Wonki & DaeEun Kim. (2014). Task Partitioning Based on Response Threshold Model in Robot Harvesting Task. 759–760. 1 indexed citations

9.

Kim, DaeEun, et al.. (2014). Adaptive Division of Labor in Multi-Robot System with Minimum Task Switching. 750–756. 6 indexed citations

10.

Kim, DaeEun, et al.. (2014). Hand Shape Classification using Contour Distribution. Journal of Institute of Control Robotics and Systems. 20(6). 593–598. 1 indexed citations

11.

Kim, DaeEun, et al.. (2014). Adaptive Division of Labor in Multi-Robot System with Minimum Task Switching. 750–756. 6 indexed citations

12.

Kim, DaeEun, et al.. (2012). Omni-directional image matching for homing navigation based on optical flow algorithm. International Conference on Control, Automation and Systems. 1446–1451.

13.

Lee, Changmin & DaeEun Kim. (2012). Visual navigation using pixel intensity information. International Conference on Control, Automation and Systems. 1457–1460. 1 indexed citations

14.

Lee, Jaehong, et al.. (2011). Finger-gesture Recognition Glove using Velostat (ICCAS 2011). International Conference on Control, Automation and Systems. 206–210. 22 indexed citations

15.

Lee, Jaehong, et al.. (2011). Development of Sensor System for Finger Gesture. 4–5. 1 indexed citations

16.

Park, Sangwook & DaeEun Kim. (2011). Distance Estimation Using Discretized Frequency Synthesis of Ultrasound Signals. Journal of Institute of Control Robotics and Systems. 17(5). 499–504. 2 indexed citations

17.

Kim, DaeEun, et al.. (2010). Air-Ground Cooperating Robots: Applications and Challenges. Journal of Institute of Control Robotics and Systems. 16(2). 101–106. 2 indexed citations

18.

Kim, DaeEun, et al.. (2010). Distance estimation method with snapshot landmark images in the robotic homing navigation. 275–280. 3 indexed citations

19.

Kim, DaeEun. (2006). Prey detection mechanism of elasmobranchs. Biosystems. 87(2-3). 322–331. 8 indexed citations

20.

Kim, DaeEun. (2003). An Analysis of Synchrony Conditions for Integrate-and-Fire Neurons. Max Planck Institute for Plasma Physics. 419–426. 1 indexed citations

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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