Jingon Jang

1.8k total citations
45 papers, 1.6k citations indexed

About

Jingon Jang is a scholar working on Electrical and Electronic Engineering, Materials Chemistry and Polymers and Plastics. According to data from OpenAlex, Jingon Jang has authored 45 papers receiving a total of 1.6k indexed citations (citations by other indexed papers that have themselves been cited), including 40 papers in Electrical and Electronic Engineering, 14 papers in Materials Chemistry and 11 papers in Polymers and Plastics. Recurrent topics in Jingon Jang's work include Advanced Memory and Neural Computing (33 papers), Organic Electronics and Photovoltaics (11 papers) and Ferroelectric and Negative Capacitance Devices (10 papers). Jingon Jang is often cited by papers focused on Advanced Memory and Neural Computing (33 papers), Organic Electronics and Photovoltaics (11 papers) and Ferroelectric and Negative Capacitance Devices (10 papers). Jingon Jang collaborates with scholars based in South Korea, United States and Japan. Jingon Jang's co-authors include Takhee Lee, Kyungjune Cho, Hyunhak Jeong, Tae‐Young Kim, Seunghun Hong, Woong‐Ki Hong, Woanseo Park, Ju-Hun Park, Younggul Song and Gunuk Wang and has published in prestigious journals such as Advanced Materials, Nature Communications and ACS Nano.

In The Last Decade

Jingon Jang

44 papers receiving 1.5k citations

Peers

Jingon Jang

EEE

CMN

Sonali Das United States

Anh Tuấn Hoàng South Korea

Megan E. Beck United States

Xintong Guo China

Hongguang Shen China

Di Geng China

Mengxing Sun China

Seongin Hong South Korea

Young Jin Choi South Korea

Hagyoul Bae South Korea

Sonali Das United States

Jingon Jang

899 ×0.8

EEE

613 ×0.7

251 ×0.7

152 ×0.6

170 ×1.0

CMN

Citations per year, relative to Jingon Jang Jingon Jang (= 1×) peers Sonali Das

Countries citing papers authored by Jingon Jang

Since Specialization

Citations

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

Fields of papers citing papers by Jingon Jang

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jingon Jang

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

All Works

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20 of 20 papers shown

Choi, Sanghyeon, et al.. (2024). 3D-integrated multilayered physical reservoir array for learning and forecasting time-series information. Nature Communications. 15(1). 2044–2044. 38 indexed citations

Jang, Seonghoon, Yongjun Kim, Jihoon Jeon, et al.. (2023). Three-terminal vertical ferroelectric synaptic barristor enabled by HZO/graphene heterostructure with rebound depolarization. Journal of Alloys and Compounds. 965. 171247–171247. 3 indexed citations

Cho, Haein, Inho Lee, Jingon Jang, et al.. (2023). Real-time finger motion recognition using skin-conformable electronics. Nature Electronics. 6(8). 619–629. 61 indexed citations

Shin, Jaeho, et al.. (2023). Tilt‐Engineered Molecular‐Scale Selector for Enhanced Learning in Artificial Neural Networks. Advanced Functional Materials. 34(16).

Kim, Myung-Jin, Won‐June Lee, Jingon Jang, et al.. (2022). Ultra-large dynamic range synaptic indium gallium zinc oxide transistors. Applied Materials Today. 29. 101648–101648. 13 indexed citations

Jang, Jingon, et al.. (2022). A ReRAM-Based Convolutional Neural Network Accelerator Using the Analog Layer Normalization Technique. IEEE Transactions on Industrial Electronics. 70(6). 6442–6451. 10 indexed citations

Jang, Jingon, Seonghoon Jang, Sanghyeon Choi, & Gunuk Wang. (2021). Run-off election-based decision method for the training and inference process in an artificial neural network. Scientific Reports. 11(1). 895–895. 1 indexed citations

Ham, Seonggil, Minji Kang, Seonghoon Jang, et al.. (2020). One-dimensional organic artificial multi-synapses enabling electronic textile neural network for wearable neuromorphic applications. Science Advances. 6(28). 140 indexed citations

Jang, Jingon, et al.. (2018). Highly Improved Switching Properties in Flexible Aluminum Oxide Resistive Memories Based on a Multilayer Device Structure. Advanced Electronic Materials. 4(12). 28 indexed citations

10.

Lee, Woo‐Cheol, Jingon Jang, Younggul Song, et al.. (2017). Attachable and flexible aluminum oxide resistive non-volatile memory arrays fabricated on tape as the substrate. Nanotechnology. 28(13). 135201–135201. 5 indexed citations

11.

Ko, Hyojin, Leila F. Deravi, Sung‐Jin Park, et al.. (2017). Fabrication of Millimeter‐Long Carbon Tubular Nanostructures Using the Self‐Rolling Process Inherent in Elastic Protein Layers. Advanced Materials. 29(31). 5 indexed citations

12.

Song, Younggul, Hyunhak Jeong, Seungjun Chung, et al.. (2016). Origin of multi-level switching and telegraphic noise in organic nanocomposite memory devices. Scientific Reports. 6(1). 33967–33967. 23 indexed citations

13.

Min, Mi‐Sook, Hyunhak Jeong, Dongku Kim, et al.. (2016). Gate-dependent asymmetric transport characteristics in pentacene barristors with graphene electrodes. Nanotechnology. 27(47). 475201–475201. 4 indexed citations

14.

Pak, Jinsu, Mi‐Sook Min, Kyungjune Cho, et al.. (2016). Improved photoswitching response times of MoS2 field-effect transistors by stacking p-type copper phthalocyanine layer. Applied Physics Letters. 109(18). 32 indexed citations

15.

Pak, Jinsu, Jingon Jang, Kyungjune Cho, et al.. (2015). Enhancement of photodetection characteristics of MoS₂field effect transistors using surface treatment with copper phthalocyanine. Nanoscale. 7(44). 18780–18788. 104 indexed citations

16.

Song, Younggul, Hyunhak Jeong, Jingon Jang, et al.. (2015). 1/f Noise Scaling Analysis in Unipolar-Type Organic Nanocomposite Resistive Memory. ACS Nano. 9(7). 7697–7703. 29 indexed citations

17.

Jang, Jingon, Younggul Song, Daekyoung Yoo, et al.. (2015). Energy Consumption Estimation of Organic Nonvolatile Memory Devices on a Flexible Plastic Substrate. Advanced Electronic Materials. 1(11). 13 indexed citations

18.

Cho, Kyungjune, Tae‐Young Kim, Woanseo Park, et al.. (2014). Gate-bias stress-dependent photoconductive characteristics of multi-layer MoS₂ field-effect transistors. Nanotechnology. 25(15). 155201–155201. 46 indexed citations

19.

Cho, Kyungjune, Woanseo Park, Ju-Hun Park, et al.. (2013). Electric Stress-Induced Threshold Voltage Instability of Multilayer MoS₂ Field Effect Transistors. ACS Nano. 7(9). 7751–7758. 198 indexed citations

20.

Song, Sunghoon, Jingon Jang, Yongsung Ji, et al.. (2013). Twistable nonvolatile organic resistive memory devices. Organic Electronics. 14(8). 2087–2092. 23 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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