Jiabao Gao

942 total citations
22 papers, 614 citations indexed

About

Jiabao Gao is a scholar working on Electrical and Electronic Engineering, Aerospace Engineering and Artificial Intelligence. According to data from OpenAlex, Jiabao Gao has authored 22 papers receiving a total of 614 indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Electrical and Electronic Engineering, 6 papers in Aerospace Engineering and 4 papers in Artificial Intelligence. Recurrent topics in Jiabao Gao's work include Advanced MIMO Systems Optimization (11 papers), Millimeter-Wave Propagation and Modeling (9 papers) and Indoor and Outdoor Localization Technologies (6 papers). Jiabao Gao is often cited by papers focused on Advanced MIMO Systems Optimization (11 papers), Millimeter-Wave Propagation and Modeling (9 papers) and Indoor and Outdoor Localization Technologies (6 papers). Jiabao Gao collaborates with scholars based in China, United Kingdom and United States. Jiabao Gao's co-authors include Caijun Zhong, Zhaoyang Zhang, Xiaoming Chen, Hai Lin, Geoffrey Ye Li, Mu Hu, Arash Behboodi, Joseph B. Soriaga, Richeng Jin and Xiaoling Hu and has published in prestigious journals such as Chemosphere, Sensors and IEEE Transactions on Communications.

In The Last Decade

Jiabao Gao

20 papers receiving 601 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Jiabao Gao China 11 433 213 163 117 75 22 614
Yubo Wan China 6 528 1.2× 346 1.6× 182 1.1× 51 0.4× 44 0.6× 11 738
Nataša Nešković Serbia 13 435 1.0× 110 0.5× 159 1.0× 47 0.4× 35 0.5× 63 576
Marzieh Dashti Finland 10 342 0.8× 84 0.4× 109 0.7× 42 0.4× 92 1.2× 28 395
Shijian Gao China 13 398 0.9× 197 0.9× 125 0.8× 49 0.4× 26 0.3× 38 562
Shenglei Xu China 11 380 0.9× 159 0.7× 84 0.5× 35 0.3× 93 1.2× 19 409
Yang Miao Netherlands 10 577 1.3× 356 1.7× 140 0.9× 40 0.3× 39 0.5× 60 771
Bernhard Krach Germany 9 367 0.8× 256 1.2× 44 0.3× 109 0.9× 61 0.8× 27 455
Wangdong Qi China 10 224 0.5× 93 0.4× 95 0.6× 40 0.3× 76 1.0× 40 300
Francesco Zorzi Italy 4 301 0.7× 96 0.5× 171 1.0× 44 0.4× 35 0.5× 6 353

Countries citing papers authored by Jiabao Gao

Since Specialization
Citations

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

Fields of papers citing papers by Jiabao Gao

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jiabao Gao

This figure shows the co-authorship network connecting the top 25 collaborators of Jiabao Gao. A scholar is included among the top collaborators of Jiabao Gao 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 Jiabao Gao. Jiabao Gao 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.
Tao, Qin, Kai Jin, Jiabao Gao, et al.. (2025). Channel Estimation and Detection for Symbiotic Radio Systems Over High-Mobility Channels. IEEE Transactions on Wireless Communications. 24(10). 8391–8404.
2.
3.
Hu, Xiaoling, et al.. (2024). Integrated Localization and Communication for IRS-Assisted Multi-User mmWave MIMO Systems. IEEE Transactions on Communications. 72(8). 4725–4740. 8 indexed citations
4.
Gao, Jiabao, Xiaoming Chen, & Geoffrey Ye Li. (2024). Deep unfolding based channel estimation for wideband terahertz near-field massive MIMO systems. Frontiers of Information Technology & Electronic Engineering. 25(8). 1162–1172. 6 indexed citations
5.
Gao, Jiabao, Caijun Zhong, & Geoffrey Ye Li. (2023). AMP-SBL Unfolding for Wideband MmWave Massive MIMO Channel Estimation. 60–65. 3 indexed citations
6.
Gao, Jiabao, et al.. (2023). Self-Adaptive Measurement Matrix Design and Channel Estimation in Time-Varying Hybrid MmWave Massive MIMO-OFDM Systems. IEEE Transactions on Communications. 72(1). 618–629. 4 indexed citations
7.
Gao, Jiabao, Caijun Zhong, Geoffrey Ye Li, Joseph B. Soriaga, & Arash Behboodi. (2023). Deep Learning-Based Channel Estimation for Wideband Hybrid MmWave Massive MIMO. IEEE Transactions on Communications. 71(6). 3679–3693. 36 indexed citations
8.
Gao, Jiabao, Caijun Zhong, Geoffrey Ye Li, Joseph B. Soriaga, & Arash Behboodi. (2023). Spatially Sparse Precoding in Wideband Hybrid Terahertz Massive MIMO Systems. IEEE Transactions on Wireless Communications. 23(3). 1871–1885. 4 indexed citations
9.
Su, Yue, Jiabao Gao, Hao Li, et al.. (2022). Arsenic speciation transformation in soils with high geological background: New insights from the governing role of Fe. Chemosphere. 302. 134860–134860. 17 indexed citations
10.
Yang, H.J., Jiabao Gao, Bingyu Yang, et al.. (2022). Rapid Microstructure Homogenization of a Laser Melting Deposition Additive Manufactured Ti-6.5Al-3.5Mo-1.5Zr-0.3Si Alloy by Electropulsing. Materials. 15(20). 7103–7103. 9 indexed citations
11.
Gao, Jiabao, et al.. (2022). Learn to Adapt to New Environments From Past Experience and Few Pilot Blocks. IEEE Transactions on Cognitive Communications and Networking. 9(2). 373–385. 13 indexed citations
12.
Gao, Jiabao, et al.. (2021). SAFS: Object Tracking Algorithm Based on Self-Adaptive Feature Selection. Sensors. 21(12). 4030–4030. 4 indexed citations
13.
Gao, Jiabao, Mu Hu, Caijun Zhong, Geoffrey Ye Li, & Zhaoyang Zhang. (2021). An Attention-Aided Deep Learning Framework for Massive MIMO Channel Estimation. IEEE Transactions on Wireless Communications. 21(3). 1823–1835. 55 indexed citations
14.
Gao, Jiabao, Caijun Zhong, Geoffrey Ye Li, & Zhaoyang Zhang. (2021). Deep Learning-Based Channel Estimation for Massive MIMO With Hybrid Transceivers. IEEE Transactions on Wireless Communications. 21(7). 5162–5174. 17 indexed citations
15.
Gao, Jiabao, Caijun Zhong, & Zhaoyang Zhang. (2021). Location-Aided Deep Learning-Based Channel Estimation for Hybrid Massive MIMO Systems. 2021 13th International Conference on Wireless Communications and Signal Processing (WCSP). 1–6.
16.
Gao, Jiabao, Mu Hu, Caijun Zhong, Zhaoyang Zhang, & Geoffrey Ye Li. (2021). An Attention-Aided Deep Neural Network Design for Channel Estimation in Massive MIMO Systems. 2021 IEEE Global Communications Conference (GLOBECOM). 1–6. 1 indexed citations
17.
Gao, Jiabao, Caijun Zhong, Xiaoming Chen, Hai Lin, & Zhaoyang Zhang. (2020). Deep Reinforcement Learning for Joint Beamwidth and Power Optimization in mmWave Systems. IEEE Communications Letters. 24(10). 2201–2205. 27 indexed citations
18.
Gao, Jiabao, Caijun Zhong, Xiaoming Chen, Hai Lin, & Zhaoyang Zhang. (2020). Unsupervised Learning for Passive Beamforming. IEEE Communications Letters. 24(5). 1052–1056. 143 indexed citations
19.
Gao, Jiabao, et al.. (2020). Unsupervised Learning-Based Joint Active and Passive Beamforming Design for Reconfigurable Intelligent Surfaces Aided Wireless Networks. IEEE Communications Letters. 25(3). 892–896. 74 indexed citations
20.
Gao, Jiabao, et al.. (2019). Deep Learning for Spectrum Sensing. IEEE Wireless Communications Letters. 8(6). 1727–1730. 158 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.

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