Sangjun Sim

980 total citations · 1 hit paper
24 papers, 776 citations indexed

About

Sangjun Sim is a scholar working on Cognitive Neuroscience, Biomedical Engineering and Electrical and Electronic Engineering. According to data from OpenAlex, Sangjun Sim has authored 24 papers receiving a total of 776 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Cognitive Neuroscience, 13 papers in Biomedical Engineering and 7 papers in Electrical and Electronic Engineering. Recurrent topics in Sangjun Sim's work include Advanced Sensor and Energy Harvesting Materials (13 papers), Tactile and Sensory Interactions (10 papers) and Conducting polymers and applications (5 papers). Sangjun Sim is often cited by papers focused on Advanced Sensor and Energy Harvesting Materials (13 papers), Tactile and Sensory Interactions (10 papers) and Conducting polymers and applications (5 papers). Sangjun Sim collaborates with scholars based in South Korea, United States and Japan. Sangjun Sim's co-authors include Jongbaeg Kim, Kyubin Bae, Soonjae Pyo, Jae Yong Lee, Yunsung Kang, Eunhwan Jo, Wondo Kim, Tae Hoon Lee, Wonkeun Park and Young Tack Lee and has published in prestigious journals such as Advanced Materials, ACS Nano and Advanced Functional Materials.

In The Last Decade

Sangjun Sim

21 papers receiving 764 citations

Hit Papers

Recent Progress in Flexible Tactile Sensors for Human‐Int... 2021 2026 2022 2024 2021 100 200 300 400
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.

  1. Recent Progress in Flexible Tactile Sensors for Human‐Interactive Systems: From Sensors to Advanced Applications
    2021 477 citations Soonjae Pyo, Jae Yong Lee et al. Advanced Materials profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Sangjun Sim South Korea 10 652 322 289 201 98 24 776
Kyubin Bae South Korea 9 730 1.1× 381 1.2× 273 0.9× 210 1.0× 46 0.5× 19 805
Wonjeong Suh South Korea 6 628 1.0× 270 0.8× 233 0.8× 236 1.2× 47 0.5× 6 706
Sen Ding Macao 14 661 1.0× 299 0.9× 212 0.7× 153 0.8× 49 0.5× 27 808
Qi Hong China 15 841 1.3× 378 1.2× 338 1.2× 240 1.2× 63 0.6× 43 928
Shengshun Duan China 17 632 1.0× 216 0.7× 241 0.8× 235 1.2× 104 1.1× 27 775
Fali Li China 15 749 1.1× 348 1.1× 305 1.1× 212 1.1× 55 0.6× 22 863
Han Fang China 11 477 0.7× 163 0.5× 248 0.9× 196 1.0× 92 0.9× 14 638
Mirza Saquib Sarwar Canada 9 662 1.0× 252 0.8× 175 0.6× 234 1.2× 70 0.7× 17 768
Chun Ki Yiu Hong Kong 18 711 1.1× 332 1.0× 202 0.7× 229 1.1× 76 0.8× 25 901
Weiqiang Hong China 18 971 1.5× 437 1.4× 382 1.3× 274 1.4× 68 0.7× 52 1.0k

Countries citing papers authored by Sangjun Sim

Since Specialization
Citations

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

Fields of papers citing papers by Sangjun Sim

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Sangjun Sim

This figure shows the co-authorship network connecting the top 25 collaborators of Sangjun Sim. A scholar is included among the top collaborators of Sangjun Sim 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 Sangjun Sim. Sangjun Sim 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.
Roh, Hyeonhee, et al.. (2025). Polymer‐Incorporated Mechanically Compliant Carbon Nanotube Microelectrode Arrays for Multichannel Neural Signal Recording. Advanced Functional Materials. 35(51). 1 indexed citations
2.
Bae, Kyubin, et al.. (2025). Dome‐Structure Array from Pre‐Strained Extendable Mesh for Tactile Sensing Without Crosstalk and Lateral Strain Interference. Small Methods. 9(7). e2401730–e2401730. 2 indexed citations
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Sim, Sangjun, Hyogeun Shin, Kyubin Bae, et al.. (2023). Neural probe integrated with low-impedance electrodes implemented using vertically aligned carbon nanotubes for three-dimensional mapping of neural signals. Sensors and Actuators B Chemical. 393. 134124–134124. 10 indexed citations
8.
Kwon, Dae‐Sung, et al.. (2023). Formation of sub-100-nm suspended nanowires with various materials using thermally adjusted electrospun nanofibers as templates. Microsystems & Nanoengineering. 9(1). 15–15. 5 indexed citations
9.
Jo, Eunhwan, Yunsung Kang, Sangjun Sim, Hojoon Lee, & Jongbaeg Kim. (2023). High-Temperature-Operable Electromechanical Computing Units Enabled by Aligned Carbon Nanotube Arrays. ACS Nano. 17(14). 13310–13318. 9 indexed citations
10.
Sim, Sangjun, Kyubin Bae, & Jongbaeg Kim. (2023). Fully-Flexible Micro-Scale Actuator Array with the Liquid-Gas Phase Change Materials. 724–727. 6 indexed citations
11.
Bae, Kyubin, Yunsung Kang, Sangjun Sim, et al.. (2022). Dual‐Scale Porous Composite for Tactile Sensor with High Sensitivity over an Ultrawide Sensing Range. Small. 18(39). e2203193–e2203193. 45 indexed citations
12.
Lee, Tae Hoon, Yunsung Kang, Sangjun Sim, et al.. (2022). All Paper‐Based, Multilayered, Inkjet‐Printed Tactile Sensor in Wide Pressure Detection Range with High Sensitivity (Adv. Mater. Technol. 2/2022). Advanced Materials Technologies. 7(2). 1 indexed citations
13.
Kang, Yunsung, Jeong Woo Shin, Sangjun Sim, et al.. (2021). Atomic layer deposited Pt nanoparticles on functionalized MoS2 as highly sensitive H2 sensor. Applied Surface Science. 571. 151256–151256. 38 indexed citations
14.
Pyo, Soonjae, Jae Yong Lee, Kyubin Bae, Sangjun Sim, & Jongbaeg Kim. (2021). Recent Progress in Flexible Tactile Sensors for Human‐Interactive Systems: From Sensors to Advanced Applications (Adv. Mater. 47/2021). Advanced Materials. 33(47). 42 indexed citations
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Pyo, Soonjae, Jae Yong Lee, Kyubin Bae, Sangjun Sim, & Jongbaeg Kim. (2021). Recent Progress in Flexible Tactile Sensors for Human‐Interactive Systems: From Sensors to Advanced Applications. Advanced Materials. 33(47). e2005902–e2005902. 477 indexed citations breakdown →
17.
Lee, Tae Hoon, Yunsung Kang, Sangjun Sim, et al.. (2021). All Paper‐Based, Multilayered, Inkjet‐Printed Tactile Sensor in Wide Pressure Detection Range with High Sensitivity. Advanced Materials Technologies. 7(2). 48 indexed citations
18.
Jo, Eunhwan, Yunsung Kang, Sangjun Sim, Jungwook Choi, & Jongbaeg Kim. (2020). Microelectromechanical Switch with Carbon Nanotube Arrays for High-Temperature Operation. 574–577. 1 indexed citations
19.
Lee, Jae Yong, et al.. (2020). Patterned Carbon Nanotube Bundles as Stretchable Strain Sensors for Human Motion Detection. ACS Applied Nano Materials. 3(11). 11408–11415. 21 indexed citations
20.
Sim, Sangjun, et al.. (1999). Water Recources Evaluation using Network Optimization Model. Journal of Korea Water Resources Association. 32(2). 143–152. 2 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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