National Electronics and Computer Technology Center

39.1k citations
3.1k papers ·

Impact in

Papers in

National Electronics and Computer Technology Center

2.8k papers receiving 37.8k citations

Peers

National Electronics and Computer Technology Center
Comparison fields: 5 of 233
  • Bioengineering 3.8k
  • Electrical and Electronic Engineering 15.4k
  • Biomedical Engineering 10.1k
  • Polymers and Plastics 2.7k
  • Signal Processing 1.7k
Replace Rajamangala University of Technology Isan with:
Rajamangala University of Technology Isan Thailand
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Singapore Polytechnic Singapore
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National Electronics and Computer Technology Center relative to Rajamangala University of Technology Isan Thailand Rajamangala University of Technology Isan's profile →
Citations per field
00.5×2×4×6×8×9.8×
Rajamangala University of Technology Isan · 1×
Citations per year

Countries citing scholars working at National Electronics and Computer Technology Center

Since Specialization
Citations

This map shows the geographic impact of research produced by authors working at National Electronics and Computer Technology Center. 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 papers produced at National Electronics and Computer Technology Center with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites National Electronics and Computer Technology Center more than expected).

Fields of papers published by authors at National Electronics and Computer Technology Center

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers affiliated with National Electronics and Computer Technology Center at the time of their publication. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers affiliated with National Electronics and Computer Technology Center at the time of their publication.

About National Electronics and Computer Technology Center

In recent decades, authors affiliated with National Electronics and Computer Technology Center have published 3.1k papers, which have received a total of 39.1k indexed citations . Scholars at this organization have produced 151 papers in Bioengineering, 1.0k papers in Electrical and Electronic Engineering, 363 papers in Computer Vision and Pattern Recognition, 181 papers in Signal Processing and 501 papers in Artificial Intelligence on the topics of Gas Sensing Nanomaterials and Sensors (204 papers), Analytical Chemistry and Sensors (151 papers), ZnO doping and properties (148 papers), Natural Language Processing Techniques (137 papers), Advanced Chemical Sensor Technologies (102 papers), Topic Modeling (101 papers), Speech Recognition and Synthesis (91 papers) and Speech and Audio Processing (84 papers). Their work is cited by papers focused on Bioengineering (3.8k citations), Electrical and Electronic Engineering (15.4k citations), Biomedical Engineering (10.1k citations), Polymers and Plastics (2.7k citations) and Signal Processing (1.7k citations). Authors at National Electronics and Computer Technology Center collaborate with scholars in Thailand, Japan and United States and have published in prestigious journals including Sensors and Actuators B Chemical, Applied Surface Science, Sensors, IEEE Access and Japanese Journal of Applied Physics. Some of National Electronics and Computer Technology Center's most productive authors include Adisorn Tuantranont, Anurat Wisitsoraat, Sukon Phanichphant, Chaikarn Liewhiran, A. Wisitsoraat, Pasin Israsena, Mati Horprathum, Kamol Kaemarungsi, Sarun Sumriddetchkajorn and Wasan Pattara­-Atikom.

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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