Peihao Dong

1.2k total citations · 1 hit paper
31 papers, 820 citations indexed

About

Peihao Dong is a scholar working on Electrical and Electronic Engineering, Computer Networks and Communications and Aerospace Engineering. According to data from OpenAlex, Peihao Dong has authored 31 papers receiving a total of 820 indexed citations (citations by other indexed papers that have themselves been cited), including 26 papers in Electrical and Electronic Engineering, 14 papers in Computer Networks and Communications and 9 papers in Aerospace Engineering. Recurrent topics in Peihao Dong's work include Advanced MIMO Systems Optimization (14 papers), Cooperative Communication and Network Coding (10 papers) and Millimeter-Wave Propagation and Modeling (8 papers). Peihao Dong is often cited by papers focused on Advanced MIMO Systems Optimization (14 papers), Cooperative Communication and Network Coding (10 papers) and Millimeter-Wave Propagation and Modeling (8 papers). Peihao Dong collaborates with scholars based in China, United States and South Korea. Peihao Dong's co-authors include Hua Zhang, Geoffrey Ye Li, Ivan Gaspar, Navid Naderializadeh, Xiaohu You, Shen Gao, Zhiwen Pan, Jun-Bo Wang, Wei Xu and Zhiquan Bai and has published in prestigious journals such as IEEE Access, IEEE Transactions on Vehicular Technology and IEEE Internet of Things Journal.

In The Last Decade

Peihao Dong

27 papers receiving 806 citations

Hit Papers

Deep CNN-Based Channel Estimation for mmWave Massive MIMO... 2019 2026 2021 2023 2019 50 100 150 200 250

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Peihao Dong China 13 707 287 165 163 37 31 820
Yang Huang China 17 545 0.8× 287 1.0× 254 1.5× 87 0.5× 38 1.0× 63 799
Hanxiao Yu China 11 532 0.8× 271 0.9× 144 0.9× 113 0.7× 26 0.7× 27 685
Jianpeng Ma China 13 672 1.0× 243 0.8× 139 0.8× 66 0.4× 48 1.3× 31 757
Kai Börner Germany 7 830 1.2× 233 0.8× 216 1.3× 73 0.4× 57 1.5× 12 909
Zhimeng Zhong China 15 645 0.9× 242 0.8× 128 0.8× 61 0.4× 60 1.6× 57 759
Wan-Ting Shih Taiwan 7 651 0.9× 162 0.6× 121 0.7× 313 1.9× 75 2.0× 11 827
Mengnan Jian China 12 563 0.8× 314 1.1× 74 0.4× 71 0.4× 30 0.8× 30 687
Rubayet Shafin United States 10 461 0.7× 178 0.6× 157 1.0× 92 0.6× 86 2.3× 23 580
Chang-Jae Chun South Korea 12 491 0.7× 125 0.4× 104 0.6× 192 1.2× 25 0.7× 25 565
Aryan Kaushik United Kingdom 18 525 0.7× 451 1.6× 373 2.3× 64 0.4× 23 0.6× 87 870

Countries citing papers authored by Peihao Dong

Since Specialization
Citations

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

Fields of papers citing papers by Peihao Dong

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Peihao Dong. 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 Peihao Dong. The network helps show where Peihao Dong may publish in the future.

Co-authorship network of co-authors of Peihao Dong

This figure shows the co-authorship network connecting the top 25 collaborators of Peihao Dong. A scholar is included among the top collaborators of Peihao Dong based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Peihao Dong. Peihao Dong is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Dong, Peihao, et al.. (2024). Edge-Learning-Based Collaborative Automatic Modulation Classification for Hierarchical Cognitive Radio Networks. IEEE Internet of Things Journal. 11(21). 34443–34454. 5 indexed citations
2.
Gao, Shen, Peihao Dong, Zhiwen Pan, & Xiaohu You. (2024). Lightweight Deep Learning Based Channel Estimation for Extremely Large-Scale Massive MIMO Systems. IEEE Transactions on Vehicular Technology. 73(7). 10750–10754. 10 indexed citations
3.
Dong, Peihao, et al.. (2024). Pruned Convolutional Attention Network Based Wideband Spectrum Sensing With Sub-Nyquist Sampling. IEEE Transactions on Vehicular Technology. 74(4). 6817–6822.
6.
Liang, Xiao, et al.. (2024). Joint Resource Allocation and Trajectory Design for Resilient Multi-UAV Communication Networks. IEEE Wireless Communications Letters. 13(4). 994–998. 1 indexed citations
7.
Dong, Peihao, Qihui Wu, Xiaofei Zhang, & Guoru Ding. (2022). Edge semantic cognitive intelligence for 6G networks: Novel theoretical models, enabling framework, and typical applications. China Communications. 19(8). 1–14. 16 indexed citations
8.
Gao, Shen, Peihao Dong, Zhiwen Pan, & Geoffrey Ye Li. (2021). Deep Multi-Stage CSI Acquisition for Reconfigurable Intelligent Surface Aided MIMO Systems. IEEE Communications Letters. 25(6). 2024–2028. 36 indexed citations
9.
Qi, Chenhao, Peihao Dong, Wenyan Ma, et al.. (2021). Acquisition of channel state information for mmWave massive MIMO: traditional and machine learning-based approaches. Science China Information Sciences. 64(8). 46 indexed citations
10.
Gao, Shen, Peihao Dong, Zhiwen Pan, & Geoffrey Ye Li. (2020). Reinforcement Learning Based Cooperative Coded Caching Under Dynamic Popularities in Ultra-Dense Networks. IEEE Transactions on Vehicular Technology. 69(5). 5442–5456. 23 indexed citations
11.
Dong, Peihao, Hua Zhang, Qihui Wu, & Geoffrey Ye Li. (2020). Spatially Correlated Massive MIMO Relay Systems With Low-Resolution ADCs. IEEE Transactions on Vehicular Technology. 69(6). 6541–6553. 19 indexed citations
12.
Gao, Shen, Peihao Dong, Zhiwen Pan, & Geoffrey Ye Li. (2019). Deep Learning Based Channel Estimation for Massive MIMO With Mixed-Resolution ADCs. IEEE Communications Letters. 23(11). 1989–1993. 68 indexed citations
13.
Dong, Peihao, Hua Zhang, Geoffrey Ye Li, Navid Naderializadeh, & Ivan Gaspar. (2019). Deep CNN for Wideband Mmwave Massive Mimo Channel Estimation Using Frequency Correlation. 4529–4533. 38 indexed citations
14.
Dong, Peihao, Hua Zhang, & Geoffrey Ye Li. (2018). Machine Learning Prediction Based CSI Acquisition for FDD Massive MIMO Downlink. 1–6. 36 indexed citations
15.
Bai, Zhiquan, et al.. (2017). Multiband chirp OCC‐UWB system design for suppression of multiple narrowband interferences. Transactions on Emerging Telecommunications Technologies. 28(11). 1 indexed citations
16.
Bai, Zhiquan, et al.. (2016). Modified Chirp Waveforms-Based OCC-UWB System With Multiple Interferences Suppression. IEEE Systems Journal. 12(1). 814–822. 8 indexed citations
17.
Bai, Zhiquan, Peihao Dong, & Shen Gao. (2015). An opportunistic relaying‐based incremental hybrid DAF cooperative system. International Journal of Communication Systems. 30(3). 12 indexed citations
18.
Dong, Peihao, Zhiquan Bai, Shen Gao, Hongwu Liu, & Kyung Sup Kwak. (2014). Approximate BER analysis of opportunistic relaying incremental hybrid DAF cooperative system. 208–212. 1 indexed citations
19.
Wang, Bing, et al.. (2014). Dynamical clustering cooperative spectrum sensing with bandwidth constraints in CR systems. 1. 244–248. 5 indexed citations
20.
Gao, Shen, Zhiquan Bai, Peihao Dong, & Kyung Sup Kwak. (2014). Adaptive non-linear chirp UWB waveform design for multiple narrowband interferences suppression. 26. 508–512. 3 indexed citations

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 authors with similar magnitude of impact

Rankless by CCL
2026