Institute for Infocomm Research

9.7k papers receiving 267.0k citations

Peers

Institute for Infocomm Research
Comparison fields: 5 of 242
  • Signal Processing 33.6k
  • Computer Vision and Pattern Recognition 62.5k
  • Computer Networks and Communications 58.3k
  • Artificial Intelligence 61.0k
  • Electrical and Electronic Engineering 84.2k
Replace Singapore University of Technology and Design with:
Singapore University of Technology and Design Singapore
Multimedia University Malaysia
Institute of High Performance Computing Singapore
Singapore University of Social Sciences Singapore
Singapore-MIT Alliance for Research and Technology Singapore
Telkom University Indonesia
Singapore Institute of Technology Singapore
National Electronics and Computer Technology Center Thailand
Shenzhen Institutes of Advanced Technology China
Peng Cheng Laboratory China
Institute for Infocomm Research relative to Singapore University of Technology and Design Singapore Singapore University of Technology and Design's profile →
Citations per field
00.5×3.8×
Singapore University of Technology and Design · 1×
Citations per year

Countries citing scholars working at Institute for Infocomm Research

Since Specialization
Citations

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

Fields of papers published by authors at Institute for Infocomm Research

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers affiliated with Institute for Infocomm Research 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 Institute for Infocomm Research at the time of their publication.

About Institute for Infocomm Research

In recent decades, authors affiliated with Institute for Infocomm Research have published 10.3k papers, which have received a total of 274.8k indexed citations . Scholars at this organization have produced 1.4k papers in Signal Processing, 2.6k papers in Computer Vision and Pattern Recognition, 2.4k papers in Computer Networks and Communications, 2.6k papers in Artificial Intelligence and 3.4k papers in Electrical and Electronic Engineering on the topics of Advanced MIMO Systems Optimization (637 papers), Antenna Design and Analysis (618 papers), Cooperative Communication and Network Coding (558 papers), Wireless Communication Networks Research (508 papers), Speech and Audio Processing (486 papers), Advanced Wireless Communication Techniques (460 papers), Microwave Engineering and Waveguides (449 papers) and Advanced Image and Video Retrieval Techniques (441 papers). Their work is cited by papers focused on Signal Processing (33.6k citations), Computer Vision and Pattern Recognition (62.5k citations), Computer Networks and Communications (58.3k citations), Artificial Intelligence (61.0k citations) and Electrical and Electronic Engineering (84.2k citations). Authors at Institute for Infocomm Research collaborate with scholars in Singapore, China and United States and have published in prestigious journals including IEEE Transactions on Wireless Communications, IEEE Transactions on Antennas and Propagation, IEEE Transactions on Vehicular Technology, IEEE Transactions on Circuits and Systems for Video Technology and Lecture notes in computer science. Some of Institute for Infocomm Research's most productive authors include Rui Zhang, Ying‐Chang Liang, Cuntai Guan, Haizhou Li, Chin Keong Ho, Zhi Ning Chen, Yonghong Zeng, Xianming Qing, Xiaoli Li and Keng Peng Tee.

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.

Explore institutions with similar magnitude of impact