Ji‐Man Yu

1.3k total citations
62 papers, 1.0k citations indexed

About

Ji‐Man Yu is a scholar working on Electrical and Electronic Engineering, Cellular and Molecular Neuroscience and Cognitive Neuroscience. According to data from OpenAlex, Ji‐Man Yu has authored 62 papers receiving a total of 1.0k indexed citations (citations by other indexed papers that have themselves been cited), including 57 papers in Electrical and Electronic Engineering, 22 papers in Cellular and Molecular Neuroscience and 8 papers in Cognitive Neuroscience. Recurrent topics in Ji‐Man Yu's work include Advanced Memory and Neural Computing (44 papers), Ferroelectric and Negative Capacitance Devices (25 papers) and Semiconductor materials and devices (22 papers). Ji‐Man Yu is often cited by papers focused on Advanced Memory and Neural Computing (44 papers), Ferroelectric and Negative Capacitance Devices (25 papers) and Semiconductor materials and devices (22 papers). Ji‐Man Yu collaborates with scholars based in South Korea and United States. Ji‐Man Yu's co-authors include Yang‐Kyu Choi, Joon‐Kyu Han, Seong‐Yun Yun, Sangwon Lee, Myung‐Su Kim, Seung‐Bae Jeon, Myungsoo Seo, Geon‐Beom Lee, Mun‐Woo Lee and Moon‐Seok Kim and has published in prestigious journals such as SHILAP Revista de lepidopterología, Nano Letters and Advanced Functional Materials.

In The Last Decade

Ji‐Man Yu

58 papers receiving 1.0k citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Ji‐Man Yu South Korea	15	903	336	223	218	170	62	1.0k
Joon‐Kyu Han South Korea	19	1.1k 1.2×	373 1.1×	456 2.0×	356 1.6×	251 1.5×	104	1.4k
Beom Jin Kim South Korea	10	745 0.8×	266 0.8×	221 1.0×	106 0.5×	182 1.1×	17	1000
Tianqing Wan China	15	1.3k 1.4×	486 1.4×	184 0.8×	173 0.8×	289 1.7×	22	1.4k
Chunmeng Dou China	19	1.2k 1.3×	306 0.9×	158 0.7×	101 0.5×	152 0.9×	75	1.4k
Woobin Lee United States	12	693 0.8×	247 0.7×	236 1.1×	96 0.4×	136 0.8×	32	947
Bingjie Dang China	17	1.1k 1.2×	371 1.1×	105 0.5×	226 1.0×	347 2.0×	33	1.2k
Spyros Stathopoulos United Kingdom	14	863 1.0×	392 1.2×	87 0.4×	127 0.6×	81 0.5×	59	946
Jongkil Park South Korea	19	746 0.8×	345 1.0×	107 0.5×	222 1.0×	116 0.7×	54	966
Yuhao Sun China	7	633 0.7×	292 0.9×	55 0.2×	107 0.5×	167 1.0×	12	775
Lin Bao China	15	1.3k 1.4×	459 1.4×	103 0.5×	214 1.0×	382 2.2×	52	1.4k

Countries citing papers authored by Ji‐Man Yu

Since Specialization

Citations

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

Fields of papers citing papers by Ji‐Man Yu

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Ji‐Man Yu. 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 Ji‐Man Yu. The network helps show where Ji‐Man Yu may publish in the future.

Co-authorship network of co-authors of Ji‐Man Yu

This figure shows the co-authorship network connecting the top 25 collaborators of Ji‐Man Yu. A scholar is included among the top collaborators of Ji‐Man Yu 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 Ji‐Man Yu. Ji‐Man Yu 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

Yun, Seong‐Yun, et al.. (2024). Single Transistor Latch Near 1 V With Asymmetric Biasing in a MOSFET. IEEE Transactions on Electron Devices. 71(11). 6539–6543.

Yun, Seong‐Yun, et al.. (2024). Frequency Response to AC Input Signal in a Neuristor. IEEE Transactions on Electron Devices. 71(12). 7484–7488.

Yu, Ji‐Man, et al.. (2023). Lowering of Schottky Barrier Height in a Vertical Pillar MOSFET by Deuterium Annealing. IEEE Electron Device Letters. 44(7). 1032–1035. 1 indexed citations

Han, Joon‐Kyu, Jung Woo Lee, Seong‐Yun Yun, et al.. (2023). 3D Neuromorphic Hardware with Single Thin‐Film Transistor Synapses Over Single Thin‐Body Transistor Neurons by Monolithic Vertical Integration. Advanced Science. 10(30). e2302380–e2302380. 16 indexed citations

Han, Joon‐Kyu, et al.. (2022). Ultra-fast data sanitization of SRAM by back-biasing to resist a cold boot attack. Scientific Reports. 12(1). 35–35. 1 indexed citations

Han, Joon‐Kyu, et al.. (2022). Mnemonic-opto-synaptic transistor for in-sensor vision system. Scientific Reports. 12(1). 1818–1818. 7 indexed citations

Lee, Geon‐Beom, et al.. (2022). Curing of 1-Transistor-DRAM by Joule Heat From Punch-Through Current. IEEE Electron Device Letters. 43(3). 370–373. 6 indexed citations

Yu, Ji‐Man, Chungryeol Lee, Joon‐Kyu Han, et al.. (2022). A Multiple‐State Ion Synaptic Transistor Applicable to Abnormal Car Detection with Transfer Learning. SHILAP Revista de lepidopterología. 4(6). 5 indexed citations

Yu, Ji‐Man, Seongyeon Kim, Jin‐Ki Kim, et al.. (2022). Triple-Node FinFET With Non-Ohmic Schottky Junctions for Synaptic Devices. IEEE Electron Device Letters. 44(1). 40–43. 4 indexed citations

10.

Han, Joon‐Kyu, Sang Chan Park, Ji‐Man Yu, Jae‐Hyuk Ahn, & Yang‐Kyu Choi. (2022). A Bioinspired Artificial Gustatory Neuron for a Neuromorphic Based Electronic Tongue. Nano Letters. 22(13). 5244–5251. 49 indexed citations

11.

Han, Joon‐Kyu, et al.. (2022). Reliability Improvement of Gate-All-Around Junctionless SONOS Memory by Joule Heat From Inherent Nanowire Current. IEEE Transactions on Electron Devices. 69(11). 6133–6138. 2 indexed citations

12.

Han, Joon‐Kyu, Mingu Kang, Jaeseok Jeong, et al.. (2022). Artificial Olfactory Neuron for an In‐Sensor Neuromorphic Nose. Advanced Science. 9(18). e2106017–e2106017. 100 indexed citations

13.

Han, Joon‐Kyu, Myung‐Su Kim, Ji‐Man Yu, et al.. (2021). Ternary logic decoder using independently controlled double-gate Si-NW MOSFETs. Scientific Reports. 11(1). 13018–13018. 4 indexed citations

14.

Yu, Ji‐Man, Chungryeol Lee, Hongkeun Park, et al.. (2021). All‐Solid‐State Ion Synaptic Transistor for Wafer‐Scale Integration with Electrolyte of a Nanoscale Thickness. Advanced Functional Materials. 31(23). 58 indexed citations

15.

Han, Joon‐Kyu, Myung‐Su Kim, Ji‐Man Yu, et al.. (2021). Author Correction: Ternary logic decoder using independently controlled double-gate Si-NW MOSFETs. Scientific Reports. 11(1). 17165–17165. 1 indexed citations

16.

Han, Joon‐Kyu, Dae‐Myeong Geum, Seong Kwang Kim, et al.. (2021). 3D Stackable Broadband Photoresponsive InGaAs Biristor Neuron for a Neuromorphic Visual System with Near 1 V Operation. 2021 IEEE International Electron Devices Meeting (IEDM). 1–4. 11 indexed citations

17.

Han, Joon‐Kyu, Jungyeop Oh, Dong-Eun Yoo, et al.. (2021). Cointegration of single-transistor neurons and synapses by nanoscale CMOS fabrication for highly scalable neuromorphic hardware. Science Advances. 7(32). 83 indexed citations

18.

Han, Joon‐Kyu, et al.. (2020). One Biristor-Two Transistor (1B2T) Neuron With Reduced Output Voltage and Pulsewidth for Energy-Efficient Neuromorphic Hardware. IEEE Transactions on Electron Devices. 68(1). 430–433. 6 indexed citations

19.

Kim, Weon‐Guk, Joon‐Kyu Han, Il‐Woong Tcho, et al.. (2020). Triboelectric nanogenerator for a repairable transistor with self-powered electro-thermal annealing. Nano Energy. 76. 105000–105000. 8 indexed citations

20.

Yu, Ji‐Man & Woontack Woo. (2016). Divide‐conquer method for improving possibilistic c‐means. Electronics Letters. 53(3). 154–156. 1 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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