Yoonseok Yang

3.8k total citations
12 papers, 163 citations indexed

About

Yoonseok Yang is a scholar working on Biomedical Engineering, Electrical and Electronic Engineering and Bioengineering. According to data from OpenAlex, Yoonseok Yang has authored 12 papers receiving a total of 163 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Biomedical Engineering, 7 papers in Electrical and Electronic Engineering and 3 papers in Bioengineering. Recurrent topics in Yoonseok Yang's work include Advanced Chemical Sensor Technologies (6 papers), Gas Sensing Nanomaterials and Sensors (4 papers) and Analytical Chemistry and Sensors (3 papers). Yoonseok Yang is often cited by papers focused on Advanced Chemical Sensor Technologies (6 papers), Gas Sensing Nanomaterials and Sensors (4 papers) and Analytical Chemistry and Sensors (3 papers). Yoonseok Yang collaborates with scholars based in South Korea and United States. Yoonseok Yang's co-authors include Young Jun Kim, Seung-Chul Ha, Seong M. Cho, Yong Shin Kim, Haesik Yang, Youn Tae Kim, Sang‐Il Choi, Gu‐Min Jeong, Suhyun Kim and Soohyun Kim and has published in prestigious journals such as Sensors, Sensors and Actuators B Chemical and IEEE Sensors Journal.

In The Last Decade

Yoonseok Yang

10 papers receiving 156 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Yoonseok Yang South Korea 5 131 99 69 26 21 12 163
Alaa Gharra Israel 6 199 1.5× 119 1.2× 41 0.6× 14 0.5× 29 1.4× 6 238
Jun-Woo Lim South Korea 9 229 1.7× 283 2.9× 157 2.3× 47 1.8× 14 0.7× 15 349
Nicolò Landini Italy 13 264 2.0× 306 3.1× 152 2.2× 20 0.8× 17 0.8× 30 383
Azam Gholizadeh United States 10 175 1.3× 179 1.8× 57 0.8× 43 1.7× 30 1.4× 17 323
J. Getino Spain 14 259 2.0× 313 3.2× 204 3.0× 40 1.5× 28 1.3× 18 365
Luis Antonio Panes‐Ruiz Germany 6 182 1.4× 232 2.3× 113 1.6× 28 1.1× 14 0.7× 13 310
Celeste Frankenfeld United States 5 262 2.0× 84 0.8× 98 1.4× 9 0.3× 39 1.9× 6 332
Anuradha Soni India 4 261 2.0× 177 1.8× 73 1.1× 37 1.4× 9 0.4× 6 381
Albrecht Uhlig Germany 10 124 0.9× 204 2.1× 167 2.4× 12 0.5× 17 0.8× 14 350
Francesca Criscuolo Switzerland 10 166 1.3× 197 2.0× 171 2.5× 36 1.4× 3 0.1× 18 342

Countries citing papers authored by Yoonseok Yang

Since Specialization
Citations

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

Fields of papers citing papers by Yoonseok Yang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yoonseok Yang

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

All Works

12 of 12 papers shown
1.
Yang, Yoonseok, Jack Liu, J.D. Zamfirescu-Pereira, & John DeNero. (2025). Pensieve Discuss: Scalable Small-Group CS Tutoring System with AI. 1669–1670.
2.
Yang, Yoonseok, et al.. (2022). Evaluating the Knowledge Dependency of Questions. 10512–10526. 1 indexed citations
3.
Yang, Yoonseok, et al.. (2015). Multi-dimensional vibration energy harvester for efficient use in common environment. 1–4. 4 indexed citations
4.
Jeong, Gu‐Min, Yoonseok Yang, & Sang‐Il Choi. (2013). Time Horizon Selection Using Feature Feedback for the Implementation of an E-Nose System. IEEE Sensors Journal. 13(5). 1575–1581. 2 indexed citations
5.
Lee, Jae Wook, et al.. (2010). A surface-micromachined MEMS acoustic sensor with 0.8. 1779–1782. 2 indexed citations
6.
Choi, Sang‐Il, Suhyun Kim, Yoonseok Yang, & Gu‐Min Jeong. (2010). Data Refinement and Channel Selection for a Portable E-Nose System by the Use of Feature Feedback. Sensors. 10(11). 10387–10400. 12 indexed citations
7.
Shin, Yong‐Il, et al.. (2010). ZigBee-based Wireless Neuro-Stimulator for Improving Stroke Recovery. Experimental Neurobiology. 19(3). 165–172. 3 indexed citations
8.
Lee, Jae Wook, et al.. (2009). A surface-micromachined MEMS acoustic sensor with X-shape bottom electrode anchor. 1313–1316. 7 indexed citations
9.
Cho, Seong M., Sang Choon Ko, Seung-Chul Ha, et al.. (2006). Monolithic Electronic Nose System Fabricated by Post CMOS Micromachining. 420–423.
10.
Kim, Yong Shin, Seung-Chul Ha, Yoonseok Yang, et al.. (2005). Portable electronic nose system based on the carbon black–polymer composite sensor array. Sensors and Actuators B Chemical. 108(1-2). 285–291. 82 indexed citations
11.
Ha, Seung-Chul, Yoonseok Yang, Yong Shin Kim, et al.. (2005). Environmental temperature-independent gas sensor array based on polymer composite. Sensors and Actuators B Chemical. 108(1-2). 258–264. 11 indexed citations
12.
Ha, Seung-Chul, Yong Shin Kim, Yoonseok Yang, et al.. (2004). Integrated and microheater embedded gas sensor array based on the polymer composites dispensed in micromachined wells. Sensors and Actuators B Chemical. 105(2). 549–555. 39 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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