Seonggil Ham

582 total citations
7 papers, 453 citations indexed

About

Seonggil Ham is a scholar working on Electrical and Electronic Engineering, Polymers and Plastics and Cellular and Molecular Neuroscience. According to data from OpenAlex, Seonggil Ham has authored 7 papers receiving a total of 453 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Electrical and Electronic Engineering, 3 papers in Polymers and Plastics and 2 papers in Cellular and Molecular Neuroscience. Recurrent topics in Seonggil Ham's work include Advanced Memory and Neural Computing (6 papers), Ferroelectric and Negative Capacitance Devices (4 papers) and Conducting polymers and applications (2 papers). Seonggil Ham is often cited by papers focused on Advanced Memory and Neural Computing (6 papers), Ferroelectric and Negative Capacitance Devices (4 papers) and Conducting polymers and applications (2 papers). Seonggil Ham collaborates with scholars based in South Korea and Japan. Seonggil Ham's co-authors include Gunuk Wang, Sanghyeon Choi, Haein Cho, Seok‐In Na, Seonghoon Jang, Jingon Jang, Tae‐Wook Kim, Minji Kang, Byung‐Geun Lee and Jaeho Shin and has published in prestigious journals such as Advanced Functional Materials, Nano Energy and Science Advances.

In The Last Decade

Seonggil Ham

7 papers receiving 441 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Seonggil Ham South Korea	6	428	190	166	74	67	7	453
Lin Shao China	11	368 0.9×	156 0.8×	130 0.8×	59 0.8×	98 1.5×	14	416
Jungyeop Oh South Korea	11	451 1.1×	187 1.0×	113 0.7×	63 0.9×	53 0.8×	24	486
Jumei Zhou China	10	425 1.0×	208 1.1×	120 0.7×	37 0.5×	65 1.0×	24	446
Yulong Huang China	12	466 1.1×	205 1.1×	158 1.0×	97 1.3×	92 1.4×	17	545
Pek Jun Tiw China	8	425 1.0×	192 1.0×	115 0.7×	69 0.9×	46 0.7×	10	466
Shanwu Ke China	9	428 1.0×	194 1.0×	105 0.6×	45 0.6×	27 0.4×	17	454
Wan Tian Gao China	8	440 1.0×	288 1.5×	130 0.8×	67 0.9×	76 1.1×	8	470
Fatemeh Kiani United States	5	441 1.0×	225 1.2×	86 0.5×	81 1.1×	64 1.0×	8	470
Si En Ng Singapore	13	583 1.4×	221 1.2×	182 1.1×	73 1.0×	42 0.6×	15	627
Shuo Ke China	10	394 0.9×	164 0.9×	84 0.5×	119 1.6×	51 0.8×	21	428

Countries citing papers authored by Seonggil Ham

Since Specialization

Citations

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

Fields of papers citing papers by Seonggil Ham

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Seonggil Ham

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

All Works

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7 of 7 papers shown

Ham, Seonggil, Jingon Jang, Seonghoon Jang, et al.. (2024). Artificial neuromodulator–synapse mimicked by a three-terminal vertical organic ferroelectric barristor for fast and energy-efficient neuromorphic computing. Nano Energy. 124. 109435–109435. 9 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

Jang, Jingon, Sanghyeon Choi, Seonghoon Jang, et al.. (2022). A Learning‐Rate Modulable and Reliable TiO_x Memristor Array for Robust, Fast, and Accurate Neuromorphic Computing. Advanced Science. 9(22). e2201117–e2201117. 49 indexed citations

Choi, Sanghyeon, Jong Chan Kim, Hu Young Jeong, et al.. (2021). Energy-efficient three-terminal SiO memristor crossbar array enabled by vertical Si/graphene heterojunction barristor. Nano Energy. 84. 105947–105947. 42 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

Ham, Seonggil, et al.. (2019). Photonic Artificial Synapses: Photonic Organolead Halide Perovskite Artificial Synapse Capable of Accelerated Learning at Low Power Inspired by Dopamine‐Facilitated Synaptic Activity (Adv. Funct. Mater. 5/2019). Advanced Functional Materials. 29(5). 5 indexed citations

Ham, Seonggil, Sanghyeon Choi, Haein Cho, Seok‐In Na, & Gunuk Wang. (2018). Photonic Organolead Halide Perovskite Artificial Synapse Capable of Accelerated Learning at Low Power Inspired by Dopamine‐Facilitated Synaptic Activity. Advanced Functional Materials. 29(5). 205 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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