Eunseong Moon

412 total citations
19 papers, 313 citations indexed

About

Eunseong Moon is a scholar working on Electrical and Electronic Engineering, Cellular and Molecular Neuroscience and Mechanical Engineering. According to data from OpenAlex, Eunseong Moon has authored 19 papers receiving a total of 313 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Electrical and Electronic Engineering, 6 papers in Cellular and Molecular Neuroscience and 3 papers in Mechanical Engineering. Recurrent topics in Eunseong Moon's work include Energy Harvesting in Wireless Networks (7 papers), solar cell performance optimization (5 papers) and CCD and CMOS Imaging Sensors (4 papers). Eunseong Moon is often cited by papers focused on Energy Harvesting in Wireless Networks (7 papers), solar cell performance optimization (5 papers) and CCD and CMOS Imaging Sensors (4 papers). Eunseong Moon collaborates with scholars based in United States, Switzerland and Israel. Eunseong Moon's co-authors include Jamie Phillips, David Blaauw, Inhee Lee, Gyouho Kim, Jongyup Lim, Wootaek Lım, Taekwang Jang, Samuel R. Nason, Hun-Seok Kim and Cynthia A. Chestek and has published in prestigious journals such as Communications of the ACM, IEEE Journal of Solid-State Circuits and IEEE Transactions on Electron Devices.

In The Last Decade

Eunseong Moon

19 papers receiving 307 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Eunseong Moon United States	10	240	133	97	35	27	19	313
Jinwei Zhao United Kingdom	8	209 0.9×	198 1.5×	68 0.7×	84 2.4×	14 0.5×	17	339
Thomas Guenther Germany	11	129 0.5×	140 1.1×	119 1.2×	81 2.3×	33 1.2×	36	344
Zhongyuan Wu China	12	227 0.9×	138 1.0×	27 0.3×	26 0.7×	52 1.9×	51	335
Hadi Veladi Iran	11	157 0.7×	186 1.4×	48 0.5×	53 1.5×	12 0.4×	40	365
Amoolya Nirmal Singapore	9	269 1.1×	104 0.8×	111 1.1×	29 0.8×	72 2.7×	26	376
Guangbin Dou United Kingdom	11	181 0.8×	183 1.4×	43 0.4×	40 1.1×	53 2.0×	43	376
Zhiming Xiao China	13	360 1.5×	118 0.9×	45 0.5×	101 2.9×	32 1.2×	46	458
Vahid Nabaei United Kingdom	10	180 0.8×	166 1.2×	70 0.7×	38 1.1×	43 1.6×	22	403
Jin Peng China	7	150 0.6×	139 1.0×	38 0.4×	28 0.8×	80 3.0×	13	292
Yuehua Dai China	9	201 0.8×	110 0.8×	50 0.5×	12 0.3×	59 2.2×	51	315

Countries citing papers authored by Eunseong Moon

Since Specialization

Citations

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

Fields of papers citing papers by Eunseong Moon

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Eunseong Moon

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

All Works

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19 of 19 papers shown

Lee, Inhee, Roger Hsiao, Mingyu Yang, et al.. (2024). mSAIL: Milligram-Scale Multi-Modal Sensor Platform for Monarch Butterfly Migration Tracking. Communications of the ACM. 67(6). 93–101. 1 indexed citations

Lim, Jongyup, Jungho Lee, Eunseong Moon, et al.. (2022). A Light-Tolerant Wireless Neural Recording IC for Motor Prediction With Near-Infrared-Based Power and Data Telemetry. IEEE Journal of Solid-State Circuits. 57(4). 1061–1074. 17 indexed citations

Lim, Jongyup, Jiawei Liao, Jungho Lee, et al.. (2022). A 260×274 μm² 572 nW Neural Recording Micromote Using Near-Infrared Power Transfer and an RF Data Uplink. 2022 IEEE Symposium on VLSI Technology and Circuits (VLSI Technology and Circuits). 64–65. 5 indexed citations

Moon, Eunseong, Jongyup Lim, Jungho Lee, et al.. (2021). Bridging the “Last Millimeter” Gap of Brain-Machine Interfaces via Near-Infrared Wireless Power Transfer and Data Communications. ACS Photonics. 8(5). 1430–1438. 21 indexed citations

Li, Yuyang, Yejoong Kim, Eunseong Moon, et al.. (2021). An Energy Autonomous Light Intensity Sensor for Monarch Butterfly Migration Tracking. 155–158. 2 indexed citations

Lim, Jongyup, Jungho Lee, Eunseong Moon, et al.. (2021). A Light Tolerant Neural Recording IC for Near-Infrared-Powered Free Floating Motes. PubMed. 2021. 1–2. 12 indexed citations

Lee, Inhee, Roger Hsiao, Mingyu Yang, et al.. (2021). mSAIL. 517–530. 7 indexed citations

Li, Yuyang, Eunseong Moon, Jamie Phillips, & Inhee Lee. (2021). A Stacked-Photovoltaic-Cell Energy Harvester with >81% Indoor Light Harvesting Efficiency for Millimeter-Scale Energy-Autonomous Sensor Nodes. 235–238. 2 indexed citations

Lim, Jongyup, Eunseong Moon, Samuel R. Nason, et al.. (2020). 26.9 A 0.19×0.17mm² Wireless Neural Recording IC for Motor Prediction with Near-Infrared-Based Power and Data Telemetry. PubMed. 2020. 416–418. 39 indexed citations

10.

Moon, Eunseong, et al.. (2020). Dual-Junction GaAs Photovoltaics for Low Irradiance Wireless Power Transfer in Submillimeter-Scale Sensor Nodes. IEEE Journal of Photovoltaics. 10(6). 1721–1726. 7 indexed citations

11.

Lee, Inhee, Eunseong Moon, Yejoong Kim, Jamie Phillips, & David Blaauw. (2019). A 10mm³ Light-Dose Sensing IoT² System With 35-To-339nW 10-To-300klx Light-Dose-To-Digital Converter. C180–C181. 8 indexed citations

12.

Lee, Inhee, Eunseong Moon, Yejoong Kim, Jamie Phillips, & David Blaauw. (2019). A 10mm³Light-Dose Sensing IoT² System with 35-to-339nW 10-to-300klx Light-Dose-to-Digital Converter. C180–C181. 4 indexed citations

13.

Moon, Eunseong, Inhee Lee, David Blaauw, & Jamie Phillips. (2019). High‐efficiency photovoltaic modules on a chip for millimeter‐scale energy harvesting. Progress in Photovoltaics Research and Applications. 27(6). 540–546. 19 indexed citations

14.

Lee, Inhee, Gyouho Kim, Eunseong Moon, et al.. (2018). A 179-Lux Energy-Autonomous Fully-Encapsulated 17-mm³ Sensor Node with Initial Charge Delay Circuit for Battery Protection. 251–252. 12 indexed citations

15.

Moon, Eunseong, David Blaauw, & Jamie Phillips. (2017). Infrared Energy Harvesting in Millimeter-Scale GaAs Photovoltaics. IEEE Transactions on Electron Devices. 64(11). 4554–4560. 14 indexed citations

16.

Moon, Eunseong, David Blaauw, & Jamie Phillips. (2017). Subcutaneous Photovoltaic Infrared Energy Harvesting for Bio-implantable Devices. IEEE Transactions on Electron Devices. 64(5). 2432–2437. 64 indexed citations

17.

Moon, Eunseong, Wootaek Lım, Gyouho Kim, et al.. (2016). Energy Harvesting for GaAs Photovoltaics Under Low-Flux Indoor Lighting Conditions. IEEE Transactions on Electron Devices. 63(7). 2820–2825. 53 indexed citations

18.

Moon, Eunseong, David Blaauw, & Jamie Phillips. (2016). Small-Area Si Photovoltaics for Low-Flux Infrared Energy Harvesting. IEEE Transactions on Electron Devices. 64(1). 15–20. 20 indexed citations

19.

Chen, Chih‐Yu, Eunseong Moon, Michael Shandalov, et al.. (2016). Chemical epitaxy and interfacial reactivity in solution deposited PbS on ZnTe. Journal of Materials Chemistry C. 4(10). 1996–2002. 6 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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