Joon Sohn

833 total citations
16 papers, 683 citations indexed

About

Joon Sohn is a scholar working on Electrical and Electronic Engineering, Materials Chemistry and Civil and Structural Engineering. According to data from OpenAlex, Joon Sohn has authored 16 papers receiving a total of 683 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Electrical and Electronic Engineering, 8 papers in Materials Chemistry and 2 papers in Civil and Structural Engineering. Recurrent topics in Joon Sohn's work include Advanced Memory and Neural Computing (12 papers), Ferroelectric and Negative Capacitance Devices (11 papers) and Semiconductor materials and devices (6 papers). Joon Sohn is often cited by papers focused on Advanced Memory and Neural Computing (12 papers), Ferroelectric and Negative Capacitance Devices (11 papers) and Semiconductor materials and devices (6 papers). Joon Sohn collaborates with scholars based in United States, South Korea and Taiwan. Joon Sohn's co-authors include H.‐S. Philip Wong, Zizhen Jiang, Seunghyun Lee, Hongyu Chen, S.S. Wong, Zheng Fang, Guo‐Qiang Lo, Subhasish Mitra, Tsung‐Ta Wu and Wen‐Kuan Yeh and has published in prestigious journals such as Nature Communications, ACS Nano and Scientific Reports.

In The Last Decade

Joon Sohn

16 papers receiving 666 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Joon Sohn United States 12 588 220 139 108 58 16 683
Peng Yuan China 20 901 1.5× 374 1.7× 156 1.1× 107 1.0× 47 0.8× 74 1.1k
Scott W. Fong United States 10 696 1.2× 599 2.7× 73 0.5× 233 2.2× 45 0.8× 20 861
Jiahao Yin China 13 333 0.6× 107 0.5× 41 0.3× 35 0.3× 29 0.5× 48 390
Jongmin Kim South Korea 13 432 0.7× 192 0.9× 62 0.4× 73 0.7× 24 0.4× 66 524
Chung-Wei Hsu Taiwan 10 557 0.9× 90 0.4× 163 1.2× 101 0.9× 35 0.6× 16 584
Ye Tao China 17 635 1.1× 149 0.7× 239 1.7× 207 1.9× 71 1.2× 52 762
SangHoon Shin United States 16 589 1.0× 124 0.6× 46 0.3× 33 0.3× 37 0.6× 34 702

Countries citing papers authored by Joon Sohn

Since Specialization
Citations

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

Fields of papers citing papers by Joon Sohn

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Joon Sohn

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

All Works

16 of 16 papers shown
1.
Sohn, Joon, et al.. (2021). Graphene-based 3D XNOR-VRRAM with ternary precision for neuromorphic computing. npj 2D Materials and Applications. 5(1). 10 indexed citations
2.
3.
Park, Woosung, Joon Sohn, Giuseppe Romano, et al.. (2018). Impact of thermally dead volume on phonon conduction along silicon nanoladders. Nanoscale. 10(23). 11117–11122. 23 indexed citations
4.
Park, Woosung, Giuseppe Romano, Chiyui Ahn, et al.. (2017). Phonon Conduction in Silicon Nanobeam Labyrinths. Scientific Reports. 7(1). 6233–6233. 32 indexed citations
5.
Park, Rebecca, Gage Hills, Joon Sohn, et al.. (2017). Hysteresis-Free Carbon Nanotube Field-Effect Transistors. ACS Nano. 11(5). 4785–4791. 44 indexed citations
6.
Chen, Hongyu, Stefano Brivio, Jacopo Frascaroli, et al.. (2017). Resistive random access memory (RRAM) technology: From material, device, selector, 3D integration to bottom-up fabrication. Journal of Electroceramics. 39(1-4). 21–38. 79 indexed citations
7.
8.
Li, Haitong, Kai‐Shin Li, Chang-Hsien Lin, et al.. (2016). Four-layer 3D vertical RRAM integrated with FinFET as a versatile computing unit for brain-inspired cognitive information processing. 1–2. 58 indexed citations
9.
Lee, Seunghyun, Joon Sohn, Zizhen Jiang, Hongyu Chen, & H.‐S. Philip Wong. (2016). (Invited) Graphene Plane Electrode for Low Power 3D Resistive Random Access Memory. ECS Transactions. 72(4). 159–164. 1 indexed citations
10.
Lee, Seunghyun, Joon Sohn, Zizhen Jiang, Hongyu Chen, & H.‐S. Philip Wong. (2015). Metal oxide-resistive memory using graphene-edge electrodes. Nature Communications. 6(1). 8407–8407. 129 indexed citations
11.
Fang, Zheng, Xinpeng Wang, Joon Sohn, et al.. (2014). The Role of Ti Capping Layer in HfO<sub><italic>x</italic></sub>-Based RRAM Devices. IEEE Electron Device Letters. 35(9). 912–914. 61 indexed citations
12.
Sohn, Joon, Seunghyun Lee, Zizhen Jiang, Hongyu Chen, & H.‐S. Philip Wong. (2014). Atomically thin graphene plane electrode for 3D RRAM. 5.3.1–5.3.4. 19 indexed citations
13.
14.
Zhang, Zhiping, Bin Gao, Zheng Fang, et al.. (2014). All-Metal-Nitride RRAM Devices. IEEE Electron Device Letters. 36(1). 29–31. 67 indexed citations
15.
Wu, Yi, He Yi, Zhiping Zhang, et al.. (2013). First demonstration of RRAM patterned by block copolymer self-assembly. 20.8.1–20.8.4. 10 indexed citations
16.

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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