The chart shows the distribution of publications by all Research.com ranked scientists in the field of Computer Science in 2026. The highlighted bar marks where Yi Hong sits on this spectrum.
This scientist: 155 publications — 29th percentile
29% of scientists in this discipline score the same or lower.
The last bar groups every scientist with 991 publications or more.
The chart shows the D-index (discipline H-index) distribution of Computer Science scientists ranked by Research.com in 2026. The highlighted bar marks where Yi Hong sits on this spectrum.
This scientist: 31 D-Index — 6th percentile
6% of scientists in this discipline score the same or lower.
The last bar groups every scientist with 131 D-Index or more.
Yi Hong is affiliated with Monash University in Australia, specializing in research that intersects engineering and computer science. Their work predominantly focuses on electrical and electronic engineering with substantial contributions to aerospace engineering, computer networks, communications, artificial intelligence, and signal processing.
Their scholarly output includes over 100 publications mainly in engineering and over 30 in computer science, reflecting a solid engagement in interdisciplinary research fields. The principal topics explored in their recent work cover areas such as PAPR reduction in OFDM, advanced wireless communication technologies and techniques, optical wireless communication technologies, advanced photonic communication systems, optical network technologies, and power line communications and noise.
Yi Hong has published multiple papers in reputable venues, with frequent appearances in the following journals:
Recent publications demonstrate a focus on wireless communication and signal processing methodologies, including the design and analysis of novel modulation and communication systems. Notable papers include:
Collaborative research is a significant aspect of Yi Hong's work. Frequent co-authors include:
The research themes indicate a strong orientation toward advancing wireless communication performance and security, especially in emerging areas such as UAV relaying, terahertz communications, and intelligent reflecting surfaces. Reinforcement learning approaches also feature in their exploration of secure trajectory design for communication nodes.
Overall, Yi Hong's academic footprint reflects a comprehensive engagement with cutting-edge communication technologies and related signal processing challenges, contributing to the broader fields of electrical engineering and computer science through rigorous research and collaboration.
P. Raviteja;Khoa T. Phan;Yi Hong;Emanuele Viterbo
P. Raviteja;Khoa T. Phan;Yi Hong
P. Raviteja;Yi Hong;Emanuele Viterbo;Ezio Biglieri
N. Fernando;Yi Hong;E. Viterbo
Harish Vangala;Emanuele Viterbo;Yi Hong
E. Biglieri;Yi Hong;E. Viterbo
P. Raviteja;Khoa T. Phan;Yi Hong;Emanuele Viterbo
Ding Shi;Wenjin Wang;Li You;Xiaohang Song
Nirmal Fernando;Yi Hong;Emanuele Viterbo
P. Raviteja;Emanuele Viterbo;Yi Hong
P. Raviteja;Khoa T. Phan;Qianyu Jin;Yi Hong
P. Raviteja;Yi Hong;Emanuele Viterbo;Ezio Biglieri
Tharaj Thaj;Emanuele Viterbo;Yi Hong
Harish Vangala;Yi Hong;Emanuele Viterbo
Milad Tatar Mamaghani;Yi Hong
Milad Tatar Mamaghani;Yi Hong
Milad Tatar Mamaghani;Yi Hong
Shuiyin Liu;Yi Hong;E. Viterbo
S K Mohammed;E Viterbo;Yi Hong;A Chockalingam
Brijesh Chander Pandey;Saif Khan Mohammed;Patchava Raviteja;Yi Hong
Yi Hong;E. Viterbo;J.-C. Belfiore
Nirmal Fernando;Yi Hong;Emanuele Viterbo
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