Kibong Moon

3.5k total citations · 2 hit papers
49 papers, 2.9k citations indexed

About

Kibong Moon is a scholar working on Electrical and Electronic Engineering, Cellular and Molecular Neuroscience and Polymers and Plastics. According to data from OpenAlex, Kibong Moon has authored 49 papers receiving a total of 2.9k indexed citations (citations by other indexed papers that have themselves been cited), including 44 papers in Electrical and Electronic Engineering, 15 papers in Cellular and Molecular Neuroscience and 10 papers in Polymers and Plastics. Recurrent topics in Kibong Moon's work include Advanced Memory and Neural Computing (41 papers), Ferroelectric and Negative Capacitance Devices (27 papers) and Neuroscience and Neural Engineering (15 papers). Kibong Moon is often cited by papers focused on Advanced Memory and Neural Computing (41 papers), Ferroelectric and Negative Capacitance Devices (27 papers) and Neuroscience and Neural Engineering (15 papers). Kibong Moon collaborates with scholars based in South Korea, United States and Switzerland. Kibong Moon's co-authors include Hyunsang Hwang, Jiyong Woo, Jeonghwan Song, Jaesung Park, Sangheon Lee, Pritish Narayanan, Severin Sidler, Alessandro Fumarola, Geoffrey W. Burr and R. M. Shelby and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Advanced Materials and Applied Physics Letters.

In The Last Decade

Kibong Moon

48 papers receiving 2.8k citations

Hit Papers

Neuromorphic computing using non-volatile memory 2016 2026 2019 2022 2016 2016 250 500 750

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Kibong Moon South Korea 23 2.7k 1.1k 436 416 406 49 2.9k
Fabien Alibart France 22 2.0k 0.7× 980 0.9× 330 0.8× 303 0.7× 407 1.0× 63 2.2k
Saumil Joshi United States 15 3.3k 1.2× 1.6k 1.5× 549 1.3× 365 0.9× 606 1.5× 22 3.4k
Rakesh Jeyasingh United States 17 2.4k 0.9× 999 0.9× 456 1.0× 308 0.7× 373 0.9× 32 2.6k
Brian D. Hoskins United States 16 3.4k 1.3× 1.6k 1.5× 484 1.1× 538 1.3× 577 1.4× 41 3.5k
Adnan Mehonić United Kingdom 20 2.1k 0.8× 808 0.7× 342 0.8× 253 0.6× 266 0.7× 53 2.2k
Noraica Dávila United States 17 2.8k 1.0× 1.1k 1.0× 314 0.7× 509 1.2× 426 1.0× 23 2.9k
Tomáš Tůma Switzerland 14 2.2k 0.8× 786 0.7× 278 0.6× 517 1.2× 393 1.0× 27 2.6k
Gina C. Adam United States 13 3.1k 1.1× 1.5k 1.3× 421 1.0× 526 1.3× 496 1.2× 46 3.3k
Stefano Ambrogio United States 31 3.8k 1.4× 1.2k 1.1× 434 1.0× 692 1.7× 593 1.5× 82 3.9k
Teng Zhang China 20 2.4k 0.9× 968 0.9× 439 1.0× 570 1.4× 473 1.2× 59 2.6k

Countries citing papers authored by Kibong Moon

Since Specialization
Citations

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

Fields of papers citing papers by Kibong Moon

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Kibong Moon

This figure shows the co-authorship network connecting the top 25 collaborators of Kibong Moon. A scholar is included among the top collaborators of Kibong Moon 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 Kibong Moon. Kibong Moon 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.
Kim, Eunjin, et al.. (2025). Optimizing electrochemical and ferroelectric synaptic devices: from material selection to performance tuning. Neuromorphic Computing and Engineering. 5(1). 13001–13001. 1 indexed citations
2.
Lim, Seokjae, et al.. (2025). WOx Interlayer Engineering for Reliable Polarization in HfZrO2 Ferroelectric Capacitors. IEEE Transactions on Electron Devices. 72(9). 4878–4883.
3.
Kim, Nayeon, et al.. (2023). Convolutional kernel with PrCaMnOx-based resistive random-access memory for neuromorphic image processing. AIP Advances. 13(1). 4 indexed citations
4.
Sung, Changhyuck, Seokjae Lim, Hyungjun Kim, et al.. (2018). Effect of conductance linearity and multi-level cell characteristics of TaOx-based synapse device on pattern recognition accuracy of neuromorphic system. Nanotechnology. 29(11). 115203–115203. 35 indexed citations
5.
Choi, Wooseok, Kibong Moon, Myonghoon Kwak, et al.. (2018). Hardware implementation of neural network using pre-programmed resistive device for pattern recognition. Solid-State Electronics. 153. 79–83. 11 indexed citations
6.
Moon, Kibong, Alessandro Fumarola, Severin Sidler, et al.. (2017). Bidirectional Non-Filamentary RRAM as an Analog Neuromorphic Synapse, Part I: Al/Mo/Pr0.7Ca0.3MnO3 Material Improvements and Device Measurements. IEEE Journal of the Electron Devices Society. 6. 146–155. 61 indexed citations
7.
Fumarola, Alessandro, Severin Sidler, Kibong Moon, et al.. (2017). Bidirectional Non-Filamentary RRAM as an Analog Neuromorphic Synapse, Part II: Impact of Al/Mo/Pr0.7Ca0.3MnO3 Device Characteristics on Neural Network Training Accuracy. IEEE Journal of the Electron Devices Society. 6. 169–178. 22 indexed citations
8.
Jin, Shangbin, et al.. (2016). Wide‐band duplexer based on electrical balance of hybrid transformer having two notches. Electronics Letters. 52(13). 1151–1153. 4 indexed citations
9.
Song, Jeonghwan, Jae-Hyuk Park, Kibong Moon, et al.. (2016). Monolithic integration of AgTe/TiO<inf>2</inf> based threshold switching device with TiN liner for steep slope field-effect transistors. 25.3.1–25.3.4. 32 indexed citations
10.
Moon, Kibong, Euijun Cha, Daeseok Lee, et al.. (2016). ReRAM-based analog synapse and IMT neuron device for neuromorphic system. 1–2. 16 indexed citations
11.
Woo, Jiyong, Kibong Moon, Jeonghwan Song, et al.. (2016). Improved Synaptic Behavior Under Identical Pulses Using AlO<italic>x</italic>/HfO2Bilayer RRAM Array for Neuromorphic Systems. IEEE Electron Device Letters. 37(8). 994–997. 421 indexed citations breakdown →
12.
Woo, Jiyong, Jeonghwan Song, Kibong Moon, et al.. (2016). Multilevel conductance switching of a HfO<inf>2</inf> RRAM array induced by controlled filament for neuromorphic applications. 40–41. 8 indexed citations
13.
Song, Jeonghwan, Jiyong Woo, Sangheon Lee, et al.. (2016). Steep Slope Field-Effect Transistors With Ag/TiO2-Based Threshold Switching Device. IEEE Electron Device Letters. 37(7). 932–934. 44 indexed citations
14.
Lee, Sang‐Heon, et al.. (2015). Comprehensive Methodology for ReRAM and Selector Design Guideline of Cross-point Array. 1–4. 4 indexed citations
15.
Lee, Daeseok, Jaesung Park, Kibong Moon, et al.. (2015). Oxide based nanoscale analog synapse device for neural signal recognition system. 4.7.1–4.7.4. 40 indexed citations
16.
Moon, Kibong, Sangsu Park, Junwoo Jang, et al.. (2014). Hardware implementation of associative memory characteristics with analogue-type resistive-switching device. Nanotechnology. 25(49). 495204–495204. 46 indexed citations
17.
Moon, Kibong, Daeseok Lee, Jiyong Woo, et al.. (2014). Resistive-switching analogue memory device for neuromorphic application. 1–2. 4 indexed citations
18.
Lim, Seokjae, Sangheon Lee, Jiyong Woo, et al.. (2014). Effect of nitrogen-doped GST buffer layer on switching characteristics of conductive-bridging RAM. 89. 1–4. 1 indexed citations
19.
Lee, Daeseok, Jeonghwan Song, Jiyong Woo, et al.. (2014). Optimized Lightning-Rod Effect to Overcome Trade-Off Between Switching Uniformity and On/Off Ratio in ReRAM. IEEE Electron Device Letters. 35(2). 214–216. 6 indexed citations
20.
Driskill-Smith, A., Dmytro Apalkov, V. Nikitin, et al.. (2011). Latest Advances and Roadmap for In-Plane and Perpendicular STT-RAM. 1–3. 69 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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