Sunjoo Hong

575 total citations
25 papers, 417 citations indexed

About

Sunjoo Hong is a scholar working on Biomedical Engineering, Electrical and Electronic Engineering and Cognitive Neuroscience. According to data from OpenAlex, Sunjoo Hong has authored 25 papers receiving a total of 417 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Biomedical Engineering, 9 papers in Electrical and Electronic Engineering and 7 papers in Cognitive Neuroscience. Recurrent topics in Sunjoo Hong's work include EEG and Brain-Computer Interfaces (6 papers), Electrical and Bioimpedance Tomography (5 papers) and Analog and Mixed-Signal Circuit Design (5 papers). Sunjoo Hong is often cited by papers focused on EEG and Brain-Computer Interfaces (6 papers), Electrical and Bioimpedance Tomography (5 papers) and Analog and Mixed-Signal Circuit Design (5 papers). Sunjoo Hong collaborates with scholars based in South Korea and Belgium. Sunjoo Hong's co-authors include Hoi‐Jun Yoo, Taehwan Roh, Jaehyuk Lee, Joonsung Bae, Unsoo Ha, Youchang Kim, Kwonjoon Lee, Hyunki Kim, Yongsu Lee and Kiseok Song and has published in prestigious journals such as IEEE Journal of Solid-State Circuits, IEEE Transactions on Biomedical Circuits and Systems and PubMed.

In The Last Decade

Sunjoo Hong

23 papers receiving 402 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Sunjoo Hong South Korea 10 272 265 54 50 43 25 417
Pedro Bertemes-Filho Brazil 12 277 1.0× 347 1.3× 30 0.6× 23 0.5× 40 0.9× 62 549
Kwonjoon Lee South Korea 7 171 0.6× 179 0.7× 47 0.9× 34 0.7× 11 0.3× 10 281
Kyoung-Rog Lee South Korea 11 221 0.8× 219 0.8× 46 0.9× 27 0.5× 31 0.7× 17 353
P.J. Langlois United Kingdom 10 195 0.7× 163 0.6× 123 2.3× 69 1.4× 18 0.4× 32 277
Julia Pettine Netherlands 9 436 1.6× 314 1.2× 121 2.2× 62 1.2× 52 1.2× 11 529
Harsh Sohal India 12 206 0.8× 312 1.2× 9 0.2× 26 0.5× 20 0.5× 37 399
Dong‐Woo Jee South Korea 13 493 1.8× 507 1.9× 146 2.7× 65 1.3× 65 1.5× 43 746
James J. Ackmann United States 10 178 0.7× 187 0.7× 76 1.4× 54 1.1× 17 0.4× 31 475
Jaeeun Jang South Korea 12 335 1.2× 269 1.0× 98 1.8× 40 0.8× 82 1.9× 30 487

Countries citing papers authored by Sunjoo Hong

Since Specialization
Citations

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

Fields of papers citing papers by Sunjoo Hong

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Sunjoo Hong

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

All Works

20 of 20 papers shown
1.
Hong, Sunjoo, et al.. (2024). Exploring the Feasibility of ‘Personalized Learning Using Edutech’ in Classroom Instruction. Korean Journal of Teacher Education. 40(3). 171–195.
2.
Choi, Jungsoon & Sunjoo Hong. (2023). Exploring the teachers’ roles expected in blended learning. Journal of Curriculum and Evaluation. 26(1). 79–102.
3.
Hong, Sunjoo, et al.. (2022). Exploring Features facilitating learning on metaverse. Journal of Korea Game Society. 22(3). 71–82. 3 indexed citations
4.
Park, Jung‐Ho, Sunjoo Hong, Yeonjeong Park, et al.. (2020). Teachers’ perceptions of AI in school education. Journal of Educational Technology. 36(3). 905–930. 7 indexed citations
5.
Hong, Sunjoo, Jaehyuk Lee, Joonsung Bae, & Hoi‐Jun Yoo. (2015). A 10.4 mW Electrical Impedance Tomography SoC for Portable Real-Time Lung Ventilation Monitoring System. IEEE Journal of Solid-State Circuits. 50(11). 2501–2512. 61 indexed citations
6.
Roh, Taehwan, Sunjoo Hong, Hyunwoo Cho, & Hoi‐Jun Yoo. (2015). A 259.6 uW HRV-EEG Processor With Nonlinear Chaotic Analysis During Mental Tasks. IEEE Transactions on Biomedical Circuits and Systems. 10(1). 209–218. 8 indexed citations
7.
Hong, Sunjoo, Jaehyuk Lee, & Hoi‐Jun Yoo. (2015). Wearable lung-health monitoring system with electrical impedance tomography. PubMed. 2015. 1707–1710. 23 indexed citations
8.
Hong, Sunjoo, Kwonjoon Lee, Unsoo Ha, et al.. (2014). 18.4 A 4.9mΩ-sensitivity mobile electrical impedance tomography IC for early breast-cancer detection system. 316–317. 3 indexed citations
9.
Roh, Taehwan, Sunjoo Hong, & Hoi‐Jun Yoo. (2014). Wearable depression monitoring system with heart-rate variability. PubMed. 2014. 562–565. 26 indexed citations
10.
Hong, Sunjoo, Jaehyuk Lee, Joonsung Bae, & Hoi‐Jun Yoo. (2014). A 10.4 mW electrical impedance tomography SoC for portable real-time lung ventilation monitoring system. 193–196. 17 indexed citations
12.
Song, Kiseok, et al.. (2012). The compact electro-acupuncture system for multi-modal feedback electro-acupuncture treatment. PubMed. 2012. 3265–3268. 1 indexed citations
13.
Roh, Taehwan, et al.. (2012). Wearable mental-health monitoring platform with independent component analysis and nonlinear chaotic analysis. PubMed. 2012. 4541–4544. 15 indexed citations
14.
Song, Kiseok, et al.. (2012). A Sub-10 nA DC-Balanced Adaptive Stimulator IC With Multi-Modal Sensor for Compact Electro-Acupuncture Stimulation. IEEE Transactions on Biomedical Circuits and Systems. 6(6). 533–541. 15 indexed citations
15.
Hong, Sunjoo, Seulki Lee, Taehwan Roh, & Hoi‐Jun Yoo. (2012). A 46 μW motion artifact reduction bio-signal sensor with ICA based adaptive DC level control for sleep monitoring system. 1–4. 6 indexed citations
16.
Yan, Long, et al.. (2011). The Smart Patches and Wearable Band (W-Band) for comfortable sleep monitoring system. PubMed. 2011. 6915–6918. 3 indexed citations
17.
Lee, Seulki, Long Yan, Taehwan Roh, Sunjoo Hong, & Hoi‐Jun Yoo. (2011). 2.2 A 75μW Real-Time Scalable Network Controller and a 25μW ExG Sensor IC for Compact Sleep-Monitoring Applications. 2 indexed citations
18.
Hong, Sunjoo, Taehwan Roh, & Hoi‐Jun Yoo. (2011). A 145µW 8×8 parallel multiplier based on optimized bypassing architecture. 1175–1178. 5 indexed citations
19.
Lee, Seulki, Long Yan, Taehwan Roh, Sunjoo Hong, & Hoi‐Jun Yoo. (2011). A 75 $\mu$W Real-Time Scalable Body Area Network Controller and a 25 $\mu$W ExG Sensor IC for Compact Sleep Monitoring Applications. IEEE Journal of Solid-State Circuits. 47(1). 323–334. 25 indexed citations
20.
Lee, Seulki, Binhee Kim, Taehwan Roh, Sunjoo Hong, & Hoi‐Jun Yoo. (2010). Arm-band type textile-MP3 player with multi-layer Planar Fashionable Circuit Board (P-FCB) techniques. 1–7. 7 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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