Xiaoli Ma

8.8k total citations · 3 hit papers
266 papers, 6.1k citations indexed

About

Xiaoli Ma is a scholar working on Electrical and Electronic Engineering, Computer Networks and Communications and Artificial Intelligence. According to data from OpenAlex, Xiaoli Ma has authored 266 papers receiving a total of 6.1k indexed citations (citations by other indexed papers that have themselves been cited), including 203 papers in Electrical and Electronic Engineering, 142 papers in Computer Networks and Communications and 31 papers in Artificial Intelligence. Recurrent topics in Xiaoli Ma's work include Advanced Wireless Communication Techniques (98 papers), Cooperative Communication and Network Coding (60 papers) and Wireless Communication Networks Research (54 papers). Xiaoli Ma is often cited by papers focused on Advanced Wireless Communication Techniques (98 papers), Cooperative Communication and Network Coding (60 papers) and Wireless Communication Networks Research (54 papers). Xiaoli Ma collaborates with scholars based in United States, China and Netherlands. Xiaoli Ma's co-authors include Georgios B. Giannakis, Chao-Kai Wen, Yu Han, Shi Jin, Wankai Tang, Shûichi Ohno, Qi Zhou, Sungeun Lee, Muhammad Shahmeer Omar and Zhengdao Wang and has published in prestigious journals such as NeuroImage, Chemical Engineering Journal and IEEE Transactions on Information Theory.

In The Last Decade

Xiaoli Ma

256 papers receiving 5.8k citations

Hit Papers

Large Intelligent Surface-Assisted Wireless Communication... 2019 2026 2021 2023 2019 2019 2022 200 400 600

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Xiaoli Ma United States 35 4.7k 2.8k 1.1k 761 593 266 6.1k
Tareq Y. Al-Naffouri Saudi Arabia 40 4.3k 0.9× 2.0k 0.7× 1.3k 1.2× 420 0.6× 840 1.4× 365 6.2k
Zan Li China 42 4.6k 1.0× 2.7k 1.0× 2.2k 2.0× 1.2k 1.6× 359 0.6× 387 6.8k
R. Michael Buehrer United States 41 4.5k 1.0× 2.9k 1.1× 1.6k 1.5× 965 1.3× 506 0.9× 297 5.8k
Qingjiang Shi China 33 5.9k 1.3× 2.5k 0.9× 2.1k 2.0× 689 0.9× 277 0.5× 222 7.1k
Gonzalo Seco‐Granados Spain 30 3.9k 0.8× 1.3k 0.5× 2.3k 2.2× 558 0.7× 550 0.9× 288 5.2k
Lutz Lampe Canada 44 6.5k 1.4× 2.8k 1.0× 693 0.7× 433 0.6× 232 0.4× 414 7.2k
Markku Juntti Finland 47 7.5k 1.6× 4.1k 1.5× 1.9k 1.8× 482 0.6× 462 0.8× 578 8.5k
Hikmet Sari China 38 4.8k 1.0× 2.7k 1.0× 1.5k 1.4× 1.4k 1.8× 511 0.9× 264 6.5k
Yik‐Chung Wu Hong Kong 35 3.1k 0.7× 2.6k 0.9× 546 0.5× 546 0.7× 339 0.6× 225 4.6k
Andrea Conti Italy 32 4.5k 1.0× 2.3k 0.8× 1.1k 1.0× 882 1.2× 495 0.8× 214 5.5k

Countries citing papers authored by Xiaoli Ma

Since Specialization
Citations

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

Fields of papers citing papers by Xiaoli Ma

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Xiaoli Ma

This figure shows the co-authorship network connecting the top 25 collaborators of Xiaoli Ma. A scholar is included among the top collaborators of Xiaoli Ma 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 Xiaoli Ma. Xiaoli Ma 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.
Wang, Yiyin, et al.. (2025). Channel Estimation for Pilot-Aided MIMO-OCDM Transmissions. IEEE Transactions on Communications. 73(10). 9405–9420. 1 indexed citations
2.
Wang, Yiyin, et al.. (2025). Generalized Orthogonal Chirp Division Multiplexing Communications Over Doubly Selective Channels. IEEE Transactions on Wireless Communications. 25. 509–525.
3.
Wang, Dongfang, Zhengyang Song, Jie Wu, et al.. (2025). Fabrication of biodegradable mulch film based on polylactic acid waste liquid. Chemical Engineering Journal. 513. 163113–163113. 2 indexed citations
4.
Wang, Yiyin, et al.. (2024). Channel Estimation for MIMO-OCDM with Fresnel Domain Pilots. 3128–3133. 1 indexed citations
5.
Wang, Yiyin, et al.. (2023). Pilot Chirp-Assisted OCDM Communications Over Time-Varying Channels. IEEE Wireless Communications Letters. 12(9). 1578–1582. 11 indexed citations
6.
Tang, Xizi, Rui Zhang, Qi Zhou, et al.. (2022). Accelerating LMS-Based Equalization With Correlated Training Sequence in Bandlimited IM/DD Systems. Journal of Lightwave Technology. 40(13). 4268–4275. 3 indexed citations
7.
Wang, Yiyin, et al.. (2021). Channel Estimation for OCDM Transmissions With Carrier Frequency Offset. IEEE Wireless Communications Letters. 11(3). 483–487. 21 indexed citations
8.
Ma, Xiaoli, et al.. (2021). Adaptive Coding and Bit-Power Loading Algorithms for Underwater Acoustic Transmissions. IEEE Transactions on Wireless Communications. 20(9). 5798–5811. 13 indexed citations
9.
Yan, Lei, et al.. (2021). Shot Interference Detection and Mitigation for Underwater Acoustic Communication Systems. IEEE Transactions on Communications. 69(5). 3274–3285. 9 indexed citations
10.
Han, Yu, Shi Jin, Chao-Kai Wen, & Xiaoli Ma. (2020). Channel Estimation for Extremely Large-Scale Massive MIMO Systems. IEEE Wireless Communications Letters. 9(5). 633–637. 177 indexed citations
11.
Han, Yu, Mengyuan Li, Shi Jin, Chao-Kai Wen, & Xiaoli Ma. (2020). Deep Learning-Based FDD Non-Stationary Massive MIMO Downlink Channel Reconstruction. IEEE Journal on Selected Areas in Communications. 38(9). 1980–1993. 40 indexed citations
12.
Zhang, Weile, et al.. (2020). High-Mobility Massive MIMO With Beamforming Network Optimization: Doppler Spread Analysis and Scaling Law. IEEE Journal on Selected Areas in Communications. 38(12). 2889–2902. 11 indexed citations
13.
Han, Yu, Wankai Tang, Shi Jin, Chao-Kai Wen, & Xiaoli Ma. (2019). Large Intelligent Surface-Assisted Wireless Communication Exploiting Statistical CSI. IEEE Transactions on Vehicular Technology. 68(8). 8238–8242. 644 indexed citations breakdown →
14.
Yang, Yuwen, Feifei Gao, Xiaoli Ma, & Shun Zhang. (2019). Deep Learning-Based Channel Estimation for Doubly Selective Fading Channels. IEEE Access. 7. 36579–36589. 183 indexed citations
15.
Zhang, Weile, et al.. (2019). Beamforming Network Optimization for Reducing Channel Time Variation in High-Mobility Massive MIMO. IEEE Transactions on Communications. 67(10). 6781–6795. 23 indexed citations
16.
Tian, Falin, et al.. (2019). A Low-Complexity Receiver for Multicarrier Faster-Than-Nyquist Signaling Over Frequency Selective Channels. IEEE Communications Letters. 24(1). 81–85. 9 indexed citations
17.
Han, Yu, Qi Liu, Chao-Kai Wen, Michail Matthaiou, & Xiaoli Ma. (2019). Tracking FDD Massive MIMO Downlink Channels by Exploiting Delay and Angular Reciprocity. IEEE Journal of Selected Topics in Signal Processing. 13(5). 1062–1076. 39 indexed citations
18.
Ma, Xiaoli, et al.. (2018). Underwater video transceiver designs based on channel state information and video content. Frontiers of Information Technology & Electronic Engineering. 19(8). 984–998. 3 indexed citations
19.
Ma, Xiaoli, et al.. (2018). Adaptive Video Transmission Designs Over Underwater Acoustic Channels. 1–5. 2 indexed citations
20.
Jamali‐Rad, Hadi, Andrea Simonetto, Geert Leus, & Xiaoli Ma. (2014). Sparsity-aware sensor selection for correlated noise. International Conference on Information Fusion. 1–7. 9 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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