Binh Q. Le

709 citations
18 papers · 515 · h-index 13

Impact in

Papers in

Binh Q. Le

18 papers receiving 484 citations

Peers

Binh Q. Le
Comparison fields: 5 of 8
  • Computer Networks and Communications 127
  • Electrical and Electronic Engineering 262
  • Hardware and Architecture 21
  • Atomic and Molecular Physics, and Optics 9
  • Biomedical Engineering 5
Replace Masaaki Higashitani with:
Masaaki Higashitani Japan
Jeong-Don Ihm South Korea
Philip M. Watts United Kingdom
Alexandra M. Kern United States
Noboru Shibata Japan
Mingche Lai China
Katsuaki Isobe Japan
Kazushige Kanda Japan
Pranay Koka United States
Mehrdad Mofidi Japan
Binh Q. Le relative to Masaaki Higashitani Japan Masaaki Higashitani's profile →
Citations per field
00.5×2×3×3.6×
Masaaki Higashitani · 1×
Citations per year

Countries citing papers authored by Binh Q. Le

Since Specialization
Citations

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

Fields of papers citing papers by Binh Q. Le

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

18 of 18 papers shown
#Work
1 200959
2 200958
3 201958
4 201849
5 201944
6
A 120mm2 16Gb 4-MLC NAND Flash Memory with 43nm CMOS Technology
200840
7 201240
8 202131
9 201930
10 202126
11 200824
12 202119
13 200817
14 20049
15 20206
16 20173
17 20201
18 20251

About Binh Q. Le

Binh Q. Le is a scholar working on Computer Networks and Communications, Electrical and Electronic Engineering, Cellular and Molecular Neuroscience, Aerospace Engineering and Nuclear Energy and Engineering, having authored 18 papers that have together received 515 indexed citations. Recurring topics across this work include Advanced Memory and Neural Computing (6 papers), Advanced Data Storage Technologies (5 papers), Spacecraft Design and Technology (1 paper), Radiation Effects in Electronics (1 paper) and Neuroscience and Neural Engineering (1 paper). The work is most often cited by research in Computer Networks and Communications (127 citations), Electrical and Electronic Engineering (262 citations), Hardware and Architecture (21 citations), Atomic and Molecular Physics, and Optics (9 citations) and Biomedical Engineering (5 citations). Binh Q. Le has collaborated with scholars based in United States, Japan and Singapore. Frequent co-authors include Subhasish Mitra, Tony F. Wu, H.‐S. Philip Wong, Édith Beigné, Elisa Vianello, Robert M. Radway, Alessandro Grossi, E. R. Hsieh, Xin Zheng and Mohamed M. Sabry Aly. Their work appears in journals such as IEEE Transactions on Electron Devices, IEEE Journal of Solid-State Circuits, IEEE Electron Device Letters, Nature Electronics and IEEE International Symposium on Circuits and Systems proceedings.

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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