Chanho Jo

481 total citations
9 papers, 405 citations indexed

About

Chanho Jo is a scholar working on Electrical and Electronic Engineering, Cellular and Molecular Neuroscience and Artificial Intelligence. According to data from OpenAlex, Chanho Jo has authored 9 papers receiving a total of 405 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Electrical and Electronic Engineering, 4 papers in Cellular and Molecular Neuroscience and 3 papers in Artificial Intelligence. Recurrent topics in Chanho Jo's work include Advanced Memory and Neural Computing (5 papers), Photoreceptor and optogenetics research (3 papers) and Neural Networks and Reservoir Computing (3 papers). Chanho Jo is often cited by papers focused on Advanced Memory and Neural Computing (5 papers), Photoreceptor and optogenetics research (3 papers) and Neural Networks and Reservoir Computing (3 papers). Chanho Jo collaborates with scholars based in South Korea, United States and United Kingdom. Chanho Jo's co-authors include Sung Kyu Park, Yong‐Hoon Kim, Jaehyun Kim, Sung Woon Cho, Sung Min Kwon, Jee Young Kwak, Myung‐Gil Kim, Jeehoon Kim, Gyeong‐Su Park and Gyeong‐Su Park and has published in prestigious journals such as Advanced Materials, ACS Applied Materials & Interfaces and Nano Energy.

In The Last Decade

Chanho Jo

9 papers receiving 398 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Chanho Jo South Korea	8	357	147	97	83	74	9	405
Chuanyu Fu China	10	397 1.1×	160 1.1×	95 1.0×	92 1.1×	75 1.0×	23	464
Lin Shao China	11	368 1.0×	156 1.1×	130 1.3×	95 1.1×	59 0.8×	14	416
Shenming Huang China	9	374 1.0×	153 1.0×	94 1.0×	92 1.1×	42 0.6×	11	444
Gang Shang China	6	320 0.9×	117 0.8×	77 0.8×	124 1.5×	68 0.9×	8	379
Jianmin Zeng China	9	335 0.9×	113 0.8×	119 1.2×	85 1.0×	45 0.6×	22	384
Mengge Yan China	8	493 1.4×	152 1.0×	102 1.1×	132 1.6×	116 1.6×	13	538
Donggyu Lim South Korea	8	390 1.1×	185 1.3×	96 1.0×	100 1.2×	79 1.1×	20	471
Si En Ng Singapore	13	583 1.6×	221 1.5×	182 1.9×	103 1.2×	73 1.0×	15	627
Meiyu He China	9	350 1.0×	94 0.6×	98 1.0×	126 1.5×	58 0.8×	18	405
Jiajie Yu China	10	389 1.1×	97 0.7×	60 0.6×	100 1.2×	42 0.6×	31	418

Countries citing papers authored by Chanho Jo

Since Specialization

Citations

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

Fields of papers citing papers by Chanho Jo

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Chanho Jo

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

All Works

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9 of 9 papers shown

Cho, Sung Woon, Chanho Jo, Jaehyun Kim, et al.. (2024). Monolithically integrated neuromorphic electronic skin for biomimetic radiation shielding. Science Advances. 10(40). eadp9885–eadp9885. 7 indexed citations

Kim, Jaehyun, Sung Min Kwon, Chanho Jo, et al.. (2022). Highly adaptive and energy efficient neuromorphic computation enabled by deep-spike heterostructure photonic neuro-transistors. Nano Energy. 104. 107991–107991. 12 indexed citations

Cho, Sung Woon, Chanho Jo, Yong‐Hoon Kim, & Sung Kyu Park. (2022). Progress of Materials and Devices for Neuromorphic Vision Sensors. Nano-Micro Letters. 14(1). 203–203. 94 indexed citations

Jo, Chanho, Jaehyun Kim, Jee Young Kwak, et al.. (2022). Retina‐Inspired Color‐Cognitive Learning via Chromatically Controllable Mixed Quantum Dot Synaptic Transistor Arrays. Advanced Materials. 34(12). e2108979–e2108979. 120 indexed citations

Kim, Jaehyun, Chanho Jo, Myung‐Gil Kim, et al.. (2021). Vertically Stacked Full Color Quantum Dots Phototransistor Arrays for High‐Resolution and Enhanced Color‐Selective Imaging. Advanced Materials. 34(2). e2106215–e2106215. 46 indexed citations

Kwon, Sung Min, Jee Young Kwak, Seungho Song, et al.. (2021). Large‐Area Pixelized Optoelectronic Neuromorphic Devices with Multispectral Light‐Modulated Bidirectional Synaptic Circuits. Advanced Materials. 33(45). e2105017–e2105017. 84 indexed citations

Jo, Chanho, Seojun Lee, Jaehyun Kim, et al.. (2020). Enhanced Electro-Optical Performance of Inorganic Perovskite/a-InGaZnO Phototransistors Enabled by Sn–Pb Binary Incorporation with a Selective Photonic Deactivation. ACS Applied Materials & Interfaces. 12(52). 58038–58048. 14 indexed citations

Kim, Jaehyun, Sung Min Kwon, Chanho Jo, et al.. (2020). Highly Efficient Photo-Induced Charge Separation Enabled by Metal–Chalcogenide Interfaces in Quantum-Dot/Metal-Oxide Hybrid Phototransistors. ACS Applied Materials & Interfaces. 12(14). 16620–16629. 24 indexed citations

Lee, Jieun, et al.. (2011). Hydrofluoric Acid Burns: A Case Report. Korean Journal of Occupational and Environmental Medicine. 23(2). 225–225. 4 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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