Jeong‐Wan Jo

1.2k citations
18 papers · 1.0k indexed · 1 hit paper · h-index 12

Jeong‐Wan Jo

17 papers receiving 1.0k citations

Hit Papers

Brain‐Inspired Photonic Neuromorphic Devices using Photod...4782017202620202023100200300400

Peers

Jeong‐Wan Jo
Comparison fields: 5 of 31
  • Electrical and Electronic Engineering 988
  • Polymers and Plastics 233
  • Cellular and Molecular Neuroscience 287
  • Materials Chemistry 410
  • Artificial Intelligence 157
Replace Yongbiao Zhai with:
Yongbiao Zhai China
David Wei Zhang China
Tengyu Jin China
Jaehyun Kim South Korea
Durjoy Dev United States
Sung Woon Cho South Korea
Seungbeom Choi South Korea
Megan E. Beck United States
Dingdong Xie China
Donghun Lee South Korea
Jeong‐Wan Jo relative to Yongbiao Zhai China Yongbiao Zhai's profile →
Citations per field
00.5×1.5×2.1×
Yongbiao Zhai · 1×
Citations per year

Countries citing papers authored by Jeong‐Wan Jo

Since Specialization
Citations

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

Fields of papers citing papers by Jeong‐Wan Jo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

The 25 scholars most cited alongside Jeong‐Wan Jo, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Jeong‐Wan Jo Line = papers co-authored together Jeong‐Wan Jo links everyone, so they are left out of the graph.

All Works

18 of 18 papers shown
#Work
1 20250
2 20243
3 202117
4 202038
5 20202
6 201913
7 20198
8 201952
9 2018100
10 201837
11 20188
12 201746
13 201729
14
Brain‐Inspired Photonic Neuromorphic Devices using Photodynamic Amorphous Oxide Semiconductors and their Persistent Photoconductivitybreakdown →
2017478
15 201612
16 20152
17 2015175
18 201427

About Jeong‐Wan Jo

Jeong‐Wan Jo is a scholar working on Polymers and Plastics, Bioengineering and Electrical and Electronic Engineering, having authored 18 papers that have together received 1.0k indexed citations. Recurring topics across this work include Thin-Film Transistor Technologies (13 papers), Transition Metal Oxide Nanomaterials (7 papers), ZnO doping and properties (5 papers), Gas Sensing Nanomaterials and Sensors (4 papers), Advanced Memory and Neural Computing (4 papers), Semiconductor materials and devices (4 papers), Photoreceptor and optogenetics research (2 papers) and CCD and CMOS Imaging Sensors (2 papers). The work is most often cited by research in Electrical and Electronic Engineering (988 citations), Polymers and Plastics (233 citations) and Cellular and Molecular Neuroscience (287 citations). Jeong‐Wan Jo has collaborated with scholars based in South Korea, United States and United Kingdom. Frequent co-authors include Sung Kyu Park, Jaekyun Kim, Minkyung Lee, Seungbeom Choi, Woobin Lee, Yong‐Hoon Kim, Yong‐Hoon Kim, Jae Sang Heo, Kyungtae Kim and Myung‐Han Yoon.

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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