John D. Le

754 citations
10 papers · 307 indexed · h-index 4

Impact in

Papers in

Journals
Applied Physics Letters (2 papers)Future Internet (1 paper)Nano Letters (1 paper)Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE (1 paper)AI (1 paper)
Partner nations
United StatesAustralia

In The Last Decade

John D. Le

9 papers receiving 302 citations

Peers

John D. Le
Comparison fields: 5 of 32
  • Electronic, Optical and Magnetic Materials 64
  • Electrical and Electronic Engineering 136
  • Molecular Biology 161
  • Biomedical Engineering 86
  • Atomic and Molecular Physics, and Optics 53
Replace Patrick Nickels with:
Patrick Nickels Japan
Gennady Eidelshtein Israel
Emanuel Pfitzner Germany
Elisa A. Hemmig United Kingdom
Gideon I. Livshits Israel
David A. Hastman United States
Preston B. Landon United States
Cindy Y. Zheng United States
G. V. Presnova Russia
Seung Hyeon Ko United States
John D. Le relative to Patrick Nickels Japan Patrick Nickels's profile →
Citations per field
00.5×1.5×
Patrick Nickels · 1×
Citations per year

Countries citing papers authored by John D. Le

Since Specialization
Citations

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

Fields of papers citing papers by John D. Le

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by John D. Le. 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 John D. Le. The network helps show where John D. Le may publish in the future.

Co-authorship network

The 13 scholars most cited alongside John D. Le, 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 John D. Le Line = papers co-authored together John D. Le links everyone, so they are left out of the graph.

All Works

10 of 10 papers shown
#Work
1 20251
2 20250
3 20232
4 20235
5 20161
6 20071
7 200645
8 20052
9 2005194
10 200356

About John D. Le

John D. Le is a scholar working on Acoustics and Ultrasonics, Media Technology, Computer Science Applications, Human-Computer Interaction and Electrochemistry, having authored 10 papers that have together received 307 indexed citations. Recurring topics across this work include Modular Robots and Swarm Intelligence (2 papers), DNA and Biological Computing (2 papers), Molecular Junctions and Nanostructures (2 papers), Advanced biosensing and bioanalysis techniques (2 papers), Advanced Optical Imaging Technologies (2 papers), Engineering Education and Technology (1 paper), Online Learning and Analytics (1 paper) and Spam and Phishing Detection (1 paper). The work is most often cited by research in Electronic, Optical and Magnetic Materials (64 citations), Electrical and Electronic Engineering (136 citations), Molecular Biology (161 citations), Biomedical Engineering (86 citations) and Atomic and Molecular Physics, and Optics (53 citations). John D. Le has collaborated with scholars based in United States and Australia. Frequent co-authors include R.A. Kiehl, T. Andrew Taton, Nadrian C. Seeman, Karin Musier‐Forsyth, Thomas R. Hoye, Yan He, Rebecca C. Hoye, Mark O’Neill, Yang-Wai Chow and Xuekun Lu. Their work appears in journals such as Applied Physics Letters, Future Internet, Nano Letters, Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE and AI.

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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