Yongmo Park

1.3k total citations
17 papers, 847 citations indexed

About

Yongmo Park is a scholar working on Electrical and Electronic Engineering, Artificial Intelligence and Cellular and Molecular Neuroscience. According to data from OpenAlex, Yongmo Park has authored 17 papers receiving a total of 847 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Electrical and Electronic Engineering, 6 papers in Artificial Intelligence and 4 papers in Cellular and Molecular Neuroscience. Recurrent topics in Yongmo Park's work include Advanced Memory and Neural Computing (12 papers), Ferroelectric and Negative Capacitance Devices (8 papers) and Neural dynamics and brain function (3 papers). Yongmo Park is often cited by papers focused on Advanced Memory and Neural Computing (12 papers), Ferroelectric and Negative Capacitance Devices (8 papers) and Neural dynamics and brain function (3 papers). Yongmo Park collaborates with scholars based in United States, South Korea and China. Yongmo Park's co-authors include Jeehwan Kim, Wei Kong, Yunjo Kim, Hyun S. Kum, Peng Lin, Chanyeol Choi, Wei Lü, Byunghun Lee, Sang-Hoon Bae and Yongmin Baek and has published in prestigious journals such as Nature Materials, SHILAP Revista de lepidopterología and Nature Nanotechnology.

In The Last Decade

Yongmo Park

17 papers receiving 838 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Yongmo Park United States	10	576	388	161	125	120	17	847
Stéphanie Girod Luxembourg	11	630 1.1×	319 0.8×	148 0.9×	160 1.3×	146 1.2×	34	854
Benjamin Grisafe United States	20	1.0k 1.8×	430 1.1×	80 0.5×	73 0.6×	117 1.0×	35	1.1k
Sören Boyn France	8	831 1.4×	411 1.1×	263 1.6×	231 1.8×	96 0.8×	11	1.0k
Tae Joon Park United States	13	421 0.7×	263 0.7×	62 0.4×	165 1.3×	84 0.7×	30	717
Norma Sosa United States	11	709 1.2×	348 0.9×	85 0.5×	70 0.6×	178 1.5×	22	852
Danian Dong China	12	684 1.2×	275 0.7×	130 0.8×	159 1.3×	59 0.5×	54	845
Woojin Park South Korea	16	554 1.0×	270 0.7×	83 0.5×	49 0.4×	143 1.2×	49	722
Amitesh Kumar India	14	631 1.1×	328 0.8×	94 0.6×	65 0.5×	98 0.8×	61	733
Nicholas Trainor United States	13	683 1.2×	627 1.6×	84 0.5×	70 0.6×	216 1.8×	25	1.0k

Countries citing papers authored by Yongmo Park

Since Specialization

Citations

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

Fields of papers citing papers by Yongmo Park

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yongmo Park

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

All Works

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17 of 17 papers shown

Park, Yongmo, Aporva Amarnath, Subhankar Pal, et al.. (2025). FHENDI: A Near-DRAM Accelerator for Compiler-Generated Fully Homomorphic Encryption Applications. 1127–1142. 2 indexed citations

Chae, Sieun, Tony Chiang, Matthew Webb, et al.. (2024). Efficient data processing using tunable entropy-stabilized oxide memristors. Nature Electronics. 7(6). 466–474. 14 indexed citations

Park, Yongmo, Subhankar Pal, Aporva Amarnath, et al.. (2024). Dramaton: A Near-DRAM Accelerator for Large Number Theoretic Transforms. IEEE Computer Architecture Letters. 23(1). 108–111. 4 indexed citations

Wang, Ziyu, Yuting Wu, Yongmo Park, & Wei Lü. (2024). Safe, secure and trustworthy compute-in-memory accelerators. Nature Electronics. 7(12). 1086–1097. 2 indexed citations

Wang, Ziyu, et al.. (2023). Side-Channel Attack Analysis on In-Memory Computing Architectures. IEEE Transactions on Emerging Topics in Computing. 12(1). 109–121. 25 indexed citations

Wang, Ziyu, Yuting Wu, Yongmo Park, et al.. (2023). PowerGAN: A Machine Learning Approach for Power Side‐Channel Attack on Compute‐in‐Memory Accelerators. SHILAP Revista de lepidopterología. 5(12). 7 indexed citations

Park, Yongmo, et al.. (2022). RM-NTT: An RRAM-Based Compute-in-Memory Number Theoretic Transform Accelerator. IEEE Journal on Exploratory Solid-State Computational Devices and Circuits. 8(2). 93–101. 14 indexed citations

Wang, Qiwen, Yongmo Park, & Wei Lü. (2022). Device Variation Effects on Neural Network Inference Accuracy in Analog In‐Memory Computing Systems. SHILAP Revista de lepidopterología. 4(8). 18 indexed citations

Park, Yongmo, et al.. (2022). Columnar Learning Networks for Multisensory Spatiotemporal Learning. SHILAP Revista de lepidopterología. 4(11). 3 indexed citations

10.

Wu, Yuting, et al.. (2022). Tuning Resistive Switching Behavior by Controlling Internal Ionic Dynamics for Biorealistic Implementation of Synaptic Plasticity. Advanced Electronic Materials. 8(8). 12 indexed citations

11.

Park, Yongmo, Seung Hwan Lee, Sieun Chae, et al.. (2021). Memristors Based on (Zr, Hf, Nb, Ta, Mo, W) High‐Entropy Oxides. Advanced Electronic Materials. 7(5). 40 indexed citations

12.

Park, Yongmo, et al.. (2021). Device Non-Ideality Effects and Architecture-Aware Training in RRAM In-Memory Computing Modules. 1–5. 8 indexed citations

13.

Yeon, Han‐Wool, Peng Lin, Chanyeol Choi, et al.. (2020). Publisher Correction: Alloying conducting channels for reliable neuromorphic computing. Nature Nanotechnology. 15(7). 615–615. 4 indexed citations

14.

Yeon, Han‐Wool, Peng Lin, Chanyeol Choi, et al.. (2020). Alloying conducting channels for reliable neuromorphic computing. Nature Nanotechnology. 15(7). 574–579. 218 indexed citations

15.

Kum, Hyun S., Doeon Lee, Wei Kong, et al.. (2019). Epitaxial growth and layer-transfer techniques for heterogeneous integration of materials for electronic and photonic devices. Nature Electronics. 2(10). 439–450. 214 indexed citations

16.

Bae, Sang-Hoon, Hyun S. Kum, Wei Kong, et al.. (2019). Integration of bulk materials with two-dimensional materials for physical coupling and applications. Nature Materials. 18(6). 550–560. 237 indexed citations

17.

Tan, Scott H., Peng Lin, Han‐Wool Yeon, et al.. (2018). Perspective: Uniform switching of artificial synapses for large-scale neuromorphic arrays. APL Materials. 6(12). 25 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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