Lin Zhou

1.8k total citations
121 papers, 1.3k citations indexed

About

Lin Zhou is a scholar working on Electrical and Electronic Engineering, Mechanical Engineering and Computer Networks and Communications. According to data from OpenAlex, Lin Zhou has authored 121 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 55 papers in Electrical and Electronic Engineering, 39 papers in Mechanical Engineering and 28 papers in Computer Networks and Communications. Recurrent topics in Lin Zhou's work include Wireless Communication Security Techniques (33 papers), Advanced machining processes and optimization (23 papers) and Advanced Machining and Optimization Techniques (13 papers). Lin Zhou is often cited by papers focused on Wireless Communication Security Techniques (33 papers), Advanced machining processes and optimization (23 papers) and Advanced Machining and Optimization Techniques (13 papers). Lin Zhou collaborates with scholars based in China, United States and Singapore. Lin Zhou's co-authors include Fangyu Peng, Rong Yan, Mehul Motani, Kazumi Kato, Vincent Y. F. Tan, Zerun Zhu, Minghui Yang, Frank E. Talke, Ran Yan and Lin Bai and has published in prestigious journals such as IEEE Transactions on Information Theory, Expert Systems with Applications and IEEE Journal on Selected Areas in Communications.

In The Last Decade

Lin Zhou

110 papers receiving 1.2k citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Lin Zhou China	20	686	441	373	190	174	121	1.3k
Jihong Chen China	23	738 1.1×	277 0.6×	238 0.6×	384 2.0×	108 0.6×	97	1.5k
Zhaozong Meng China	22	239 0.3×	479 1.1×	261 0.7×	111 0.6×	93 0.5×	104	1.3k
Jing He China	20	460 0.7×	515 1.2×	159 0.4×	137 0.7×	64 0.4×	147	1.5k
Weitao Li China	19	291 0.4×	256 0.6×	121 0.3×	111 0.6×	63 0.4×	105	1.0k
Daniel Schmidt Germany	15	243 0.4×	154 0.3×	290 0.8×	180 0.9×	98 0.6×	65	886
Mohammad Omar Khyam Australia	18	209 0.3×	599 1.4×	111 0.3×	129 0.7×	92 0.5×	44	1.2k
Meng‐Kun Liu Taiwan	13	377 0.5×	302 0.7×	117 0.3×	175 0.9×	81 0.5×	28	892
Quan Jiang China	25	581 0.8×	469 1.1×	258 0.7×	73 0.4×	226 1.3×	143	1.7k
Chyi‐Yeu Lin Taiwan	22	213 0.3×	224 0.5×	255 0.7×	176 0.9×	64 0.4×	125	1.4k
Sami Ekici Türkiye	14	268 0.4×	566 1.3×	123 0.3×	79 0.4×	101 0.6×	21	1.1k

Countries citing papers authored by Lin Zhou

Since Specialization

Citations

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

Fields of papers citing papers by Lin Zhou

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Lin Zhou

This figure shows the co-authorship network connecting the top 25 collaborators of Lin Zhou. A scholar is included among the top collaborators of Lin Zhou 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 Lin Zhou. Lin Zhou is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

Bai, Lin, et al.. (2025). Achievable Second-Order Asymptotics for MAC and RAC With Additive Non-Gaussian Noise. IEEE Transactions on Information Theory. 71(7). 4953–4975.

Zhu, Li & Lin Zhou. (2025). Exponentially Consistent Outlier Hypothesis Testing for Continuous Sequences. IEEE Transactions on Information Theory. 71(5). 3287–3304.

Bai, Lin, et al.. (2025). Collaborative Secret and Covert Communications for Multi-User Multi-Antenna Uplink UAV Systems: Design and Optimization. IEEE Transactions on Wireless Communications. 24(7). 6020–6035. 6 indexed citations

Zhou, Lin, et al.. (2025). Capacity Region for Covert Secret Key Generation over Multiple Access Channels. 1–6. 1 indexed citations

Zhou, Lin, et al.. (2025). Resolution Limits of Non-Adaptive 20 Questions Estimation for Tracking Multiple Moving Targets. 798–803. 1 indexed citations

Zhou, Lin, et al.. (2024). Large Deviations for Statistical Sequence Matching. 1275–1280.

Zhou, Lin, et al.. (2024). Large and Small Deviations for Statistical Sequence Matching. IEEE Transactions on Information Theory. 70(11). 7532–7562.

Bai, Lin, et al.. (2023). Covert Communication for Spatially Sparse mmWave Massive MIMO Channels. IEEE Transactions on Communications. 71(3). 1615–1630. 24 indexed citations

Bai, Lin, et al.. (2023). Achievable Refined Asymptotics for Successive Refinement Using Gaussian Codebooks. IEEE Transactions on Information Theory. 69(6). 3525–3543. 7 indexed citations

10.

Zhou, Lin & Alfred O. Hero. (2023). Resolution Limits of Non-Adaptive 20 Questions Search for a Moving Target. IEEE Transactions on Information Theory. 69(9). 5463–5484. 2 indexed citations

11.

Zhou, Lin, et al.. (2022). Second-Order Asymptotically Optimal Outlier Hypothesis Testing. IEEE Transactions on Information Theory. 68(6). 3585–3607. 6 indexed citations

12.

Zhou, Lin, Lin Bai, & Alfred O. Hero. (2022). Resolution Limits of Non-Adaptive 20 Questions Search for Multiple Targets. IEEE Transactions on Information Theory. 68(8). 4964–4982. 4 indexed citations

13.

Zhou, Lin, et al.. (2021). Privacy-Utility Tradeoff for Hypothesis Testing Over a Noisy Channel. IEEE Transactions on Information Forensics and Security. 16. 4078–4091. 2 indexed citations

14.

Zhou, Lin & Mehul Motani. (2019). Non-Asymptotic Converse Bounds and Refined Asymptotics for Two Source Coding Problems. IEEE Transactions on Information Theory. 65(10). 6414–6440. 3 indexed citations

15.

Zhou, Lin, Vincent Y. F. Tan, Lei Yu, & Mehul Motani. (2018). Exponential Strong Converse for Content Identification With Lossy Recovery. IEEE Transactions on Information Theory. 64(8). 5879–5897. 8 indexed citations

16.

Zhou, Lin, Vincent Y. F. Tan, & Mehul Motani. (2018). The Dispersion of Mismatched Joint Source-Channel Coding for Arbitrary Sources and Additive Channels. IEEE Transactions on Information Theory. 65(4). 2234–2251. 11 indexed citations

17.

Zhou, Lin, Vincent Y. F. Tan, & Mehul Motani. (2018). Second-order asymptotically optimal statistical classification. Information and Inference A Journal of the IMA. 6 indexed citations

18.

Zhou, Lin, Vincent Y. F. Tan, & Mehul Motani. (2018). Refined Asymptotics for Rate-Distortion Using Gaussian Codebooks for Arbitrary Sources. IEEE Transactions on Information Theory. 65(5). 3145–3159. 14 indexed citations

19.

Zhou, Lin, Vincent Y. F. Tan, & Mehul Motani. (2017). Achievable Moderate Deviations Asymptotics for Streaming Compression of Correlated Sources. IEEE Transactions on Information Theory. 64(5). 3756–3780. 1 indexed citations

20.

Zhou, Lin, Vincent Y. F. Tan, & Mehul Motani. (2017). Second-Order and Moderate Deviation Asymptotics for Successive Refinement. IEEE Transactions on Information Theory. 1–1. 29 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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