Lu Bai

1.5k total citations
51 papers, 977 citations indexed

About

Lu Bai is a scholar working on Electrical and Electronic Engineering, Aerospace Engineering and Computer Networks and Communications. According to data from OpenAlex, Lu Bai has authored 51 papers receiving a total of 977 indexed citations (citations by other indexed papers that have themselves been cited), including 34 papers in Electrical and Electronic Engineering, 21 papers in Aerospace Engineering and 10 papers in Computer Networks and Communications. Recurrent topics in Lu Bai's work include Millimeter-Wave Propagation and Modeling (19 papers), Advanced MIMO Systems Optimization (15 papers) and UAV Applications and Optimization (10 papers). Lu Bai is often cited by papers focused on Millimeter-Wave Propagation and Modeling (19 papers), Advanced MIMO Systems Optimization (15 papers) and UAV Applications and Optimization (10 papers). Lu Bai collaborates with scholars based in China, United Kingdom and United States. Lu Bai's co-authors include Xiang Cheng, Ziwei Huang, Cheng‐Xiang Wang, Shangbin Wu, Jiulin Du, Kai Wang, Zeguan Wang, Chunfeng Shang, Wei Hang and Lin Cong and has published in prestigious journals such as Scientific Reports, IEEE Communications Surveys & Tutorials and IEEE Access.

In The Last Decade

Lu Bai

44 papers receiving 956 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Lu Bai China 16 553 305 142 98 87 51 977
Sio-Hoï Ieng France 22 1.1k 1.9× 258 0.8× 67 0.5× 70 0.7× 96 1.1× 54 1.8k
Parvez Ahammad United States 13 135 0.2× 72 0.2× 134 0.9× 90 0.9× 70 0.8× 28 639
Anup Parikh United States 14 59 0.1× 77 0.3× 47 0.3× 24 0.2× 23 0.3× 30 780
César Torres-Huitzil Mexico 15 371 0.7× 77 0.3× 68 0.5× 9 0.1× 43 0.5× 82 737
Yi Gu United States 18 181 0.3× 14 0.0× 193 1.4× 191 1.9× 40 0.5× 80 1.2k
Geoffrey L. Barrows United States 14 101 0.2× 394 1.3× 38 0.3× 10 0.1× 41 0.5× 29 570
Matthew Brennan Australia 10 268 0.5× 74 0.2× 133 0.9× 10 0.1× 7 0.1× 16 666
Ji-Hoon Kim South Korea 18 448 0.8× 13 0.0× 139 1.0× 49 0.5× 9 0.1× 79 1.2k

Countries citing papers authored by Lu Bai

Since Specialization
Citations

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

Fields of papers citing papers by Lu Bai

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Lu Bai

This figure shows the co-authorship network connecting the top 25 collaborators of Lu Bai. A scholar is included among the top collaborators of Lu Bai 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 Lu Bai. Lu Bai 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.
Feng, Xiaoming, et al.. (2026). Fast hydrogenolytic debenzylation enabled by hierarchically ordered porosity and accessibly rich Pd(0) sites. Chinese Journal of Structural Chemistry. 100884–100884.
2.
Chen, Libin, et al.. (2026). A visual-textual mutual guidance fusion network for remote sensing visual question answering. Pattern Recognition. 176. 113258–113258.
3.
Bai, Lu, et al.. (2025). Multi-Modal Intelligent Channel Modeling Framework for 6G-Enabled Networked Intelligent Systems. IEEE Wireless Communications. 1–9.
4.
Bai, Lu, et al.. (2025). Cellular Vehicle-to-Everything (C-V2X) Testing: From Theory to Practice. IEEE Network. 39(6). 226–233. 1 indexed citations
5.
Bai, Lu, et al.. (2025). Multi-Modal Intelligent Channel Modeling: A New Modeling Paradigm via Synesthesia of Machines. IEEE Communications Surveys & Tutorials. 28. 2612–2649.
6.
Cheng, Xiang, et al.. (2025). SynthSoM: A synthetic intelligent multi-modal sensing-communication dataset for Synesthesia of Machines (SoM). Scientific Data. 12(1). 819–819. 1 indexed citations
7.
Peng, Xinyu, Degang Xie, Lu Bai, Liu Zhang, & Zhiwei Shan. (2024). Enhanced corrosion resistance of AZ31 magnesium alloys through the use of high-purity raw magnesium. Journal of Magnesium and Alloys. 13(11). 5393–5403. 9 indexed citations
8.
Bai, Lu, et al.. (2024). Multi-Modal Sensing Data-Based Real-Time Path Loss Prediction for 6G UAV-to-Ground Communications. IEEE Wireless Communications Letters. 13(9). 2462–2466. 6 indexed citations
10.
Bai, Lu, et al.. (2024). Vehicle re-identification with multiple discriminative features based on non-local-attention block. Scientific Reports. 14(1). 31386–31386. 1 indexed citations
11.
Bai, Lu, Ziwei Huang, & Xiang Cheng. (2024). Propagation Characterization and Channel Modeling for UAV Communications. 1 indexed citations
12.
Li, Ming, et al.. (2024). Multimodal graph learning with framelet-based stochastic configuration networks for emotion recognition in conversation. Information Sciences. 686. 121393–121393. 15 indexed citations
13.
Cheng, Xiang, Ziwei Huang, & Lu Bai. (2023). Channel Characterization and Modeling for Vehicular Communications. 1 indexed citations
14.
Huang, Ziwei, et al.. (2023). A Mixed-Bouncing Based Non-Stationarity and Consistency 6G V2V Channel Model With Continuously Arbitrary Trajectory. IEEE Transactions on Wireless Communications. 23(2). 1634–1650. 11 indexed citations
15.
Cheng, Xiang, Ziwei Huang, Lu Bai, et al.. (2023). M3SC: A generic dataset for mixed multi-modal (MMM) sensing and communication integration. China Communications. 20(11). 13–29. 12 indexed citations
16.
Zhao, Hongbo, et al.. (2021). Deep Reinforcement Learning-based Computation Offloading in Vehicular Networks. 200–206. 9 indexed citations
17.
Bai, Lu, et al.. (2021). A 3-D Nonstationary Wideband V2V GBSM With UPAs for Massive MIMO Wireless Communication Systems. IEEE Internet of Things Journal. 8(24). 17622–17638. 9 indexed citations
18.
Bai, Lu, Weiping Li, Hui Ye, et al.. (2020). Synergistic protective effect between phenyltriethoxysilane-functionalized silica and BTA and its synergy applications for electrical contact protection on brass. Colloids and Interface Science Communications. 36. 100260–100260. 3 indexed citations
19.
Wu, Shangbin, Yue Wang, & Lu Bai. (2020). Deep Convolutional Neural Network Assisted Reinforcement Learning Based Mobile Network Power Saving. IEEE Access. 8. 93671–93681. 9 indexed citations
20.
Cong, Lin, Zeguan Wang, Yuming Chai, et al.. (2017). Rapid whole brain imaging of neural activity in freely behaving larval zebrafish (Danio rerio). eLife. 6. 211 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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