Junwoo Jang

1.9k citations
18 papers · 1.4k · 1 hit paper · h-index 12

Impact in

Papers in

Junwoo Jang

17 papers receiving 1.3k citations

Junwoo Jang's Hit Papers

Experimental Demonstration and Tolerancing of a Large-Scale Neural Network (165 000 Synapses) Using Phase-Change Memory as the Synaptic Weight Element 2015 · 751 citations
7510+3+7Years since publication250500750

Peers

Junwoo Jang
Comparison fields: 5 of 41
  • Cellular and Molecular Neuroscience 511
  • Electrical and Electronic Engineering 1.3k
  • Cognitive Neuroscience 214
  • Polymers and Plastics 148
  • Artificial Intelligence 286
Replace S. G. Hu with:
S. G. Hu China
Jiaming Zhang China
Bingjie Dang China
I‐Ting Wang Taiwan
Alessandro Fumarola Switzerland
S. R. Nandakumar United States
Sukru Burc Eryilmaz United States
B. DeSalvo France
Tianqing Wan Hong Kong
Qingjiang Li China
Junwoo Jang relative to S. G. Hu China S. G. Hu's profile →
Citations per field
00.5×2.6×
S. G. Hu · 1×
Citations per year

Countries citing papers authored by Junwoo Jang

Since Specialization
Citations

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

Fields of papers citing papers by Junwoo Jang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Junwoo Jang, 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 Junwoo Jang Line = papers co-authored together Junwoo Jang links everyone, so they are left out of the graph.

All Works

18 of 18 papers shown
#Work
1
Experimental Demonstration and Tolerancing of a Large-Scale Neural Network (165 000 Synapses) Using Phase-Change Memory as the Synaptic Weight Element
Hit paper breakdown →
2015751
2 2014158
3 2013158
4 201762
5 201448
6 201540
7 201636
8 200022
9 201722
10 201622
11 201616
12 201712
13 201610
14 20224
15 20223
16 20222
17 20152
18 20240

About Junwoo Jang

Junwoo Jang is a scholar working on Electrical and Electronic Engineering, Artificial Intelligence, Cognitive Neuroscience, Cellular and Molecular Neuroscience and Social Psychology, having authored 18 papers that have together received 1.4k indexed citations. Recurring topics across this work include Advanced Memory and Neural Computing (12 papers), Ferroelectric and Negative Capacitance Devices (7 papers), Neural Networks and Reservoir Computing (5 papers), Neuroscience and Neural Engineering (3 papers), Neural dynamics and brain function (3 papers), Color Science and Applications (2 papers), Color perception and design (2 papers) and Industrial Vision Systems and Defect Detection (2 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (511 citations), Electrical and Electronic Engineering (1.3k citations), Cognitive Neuroscience (214 citations), Polymers and Plastics (148 citations) and Artificial Intelligence (286 citations). Junwoo Jang has collaborated with scholars based in South Korea, United States and Switzerland. Frequent co-authors include Hyunsang Hwang, Geoffrey W. Burr, Pritish Narayanan, R. M. Shelby, Severin Sidler, Kumar Virwani, Rohit S. Shenoy, Carmelo di Nolfo, B. N. Kurdi and Irem Boybat. Their work appears in journals such as The Visual Computer, IEEE Transactions on Electron Devices, IEEE Journal of the Electron Devices Society, Journal of Electronic Materials and Nanotechnology.

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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