Yun Lin

2.7k total citations · 1 hit paper
139 papers, 1.6k citations indexed

About

Yun Lin is a scholar working on Artificial Intelligence, Electrical and Electronic Engineering and Aerospace Engineering. According to data from OpenAlex, Yun Lin has authored 139 papers receiving a total of 1.6k indexed citations (citations by other indexed papers that have themselves been cited), including 87 papers in Artificial Intelligence, 49 papers in Electrical and Electronic Engineering and 40 papers in Aerospace Engineering. Recurrent topics in Yun Lin's work include Wireless Signal Modulation Classification (73 papers), Radar Systems and Signal Processing (21 papers) and Adversarial Robustness in Machine Learning (13 papers). Yun Lin is often cited by papers focused on Wireless Signal Modulation Classification (73 papers), Radar Systems and Signal Processing (21 papers) and Adversarial Robustness in Machine Learning (13 papers). Yun Lin collaborates with scholars based in China, Japan and United States. Yun Lin's co-authors include Guan Gui, Yu Wang, Shiwen Mao, Ya Tu, Haoran Zha, Fumiyuki Adachi, Yuchao Liu, Xue Fu, Yang Peng and Sicheng Zhang and has published in prestigious journals such as IEEE Transactions on Geoscience and Remote Sensing, IEEE Transactions on Communications and IEEE Transactions on Wireless Communications.

In The Last Decade

Yun Lin

107 papers receiving 1.6k citations

Hit Papers

Large-scale real-world radio signal recognition with deep... 2021 2026 2022 2024 2021 50 100 150

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Yun Lin China 21 1.1k 471 361 253 236 139 1.6k
Ya Tu China 16 1.3k 1.1× 433 0.9× 429 1.2× 282 1.1× 225 1.0× 25 1.7k
Zheng Dou China 15 785 0.7× 437 0.9× 315 0.9× 166 0.7× 146 0.6× 99 1.4k
Yanning Shen United States 17 427 0.4× 246 0.5× 160 0.4× 261 1.0× 171 0.7× 74 1.2k
Jinlong Sun China 18 406 0.4× 567 1.2× 537 1.5× 68 0.3× 94 0.4× 53 1.3k
Shaojing Su China 17 289 0.3× 320 0.7× 369 1.0× 66 0.3× 223 0.9× 86 987
Zhutian Yang China 21 375 0.3× 846 1.8× 675 1.9× 79 0.3× 90 0.4× 81 1.4k
Marion Berbineau France 20 331 0.3× 942 2.0× 668 1.9× 123 0.5× 70 0.3× 134 1.7k
Yiwei Song China 10 391 0.3× 785 1.7× 299 0.8× 242 1.0× 84 0.4× 41 1.3k

Countries citing papers authored by Yun Lin

Since Specialization
Citations

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

Fields of papers citing papers by Yun Lin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yun Lin

This figure shows the co-authorship network connecting the top 25 collaborators of Yun Lin. A scholar is included among the top collaborators of Yun Lin 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 Yun Lin. Yun Lin 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.
Chen, Haipeng, Cheng Chang, Hao Huang, et al.. (2025). Joint Adaptive Modulation Coding and Power Optimization in Heterogeneous Networks Based on Constrained Deep Reinforcement Learning. IEEE Transactions on Wireless Communications. 25. 4186–4199.
2.
Shi, Feng, Hong Wan, Xue Fu, et al.. (2025). Enhanced Radio Frequency Fingerprint Identification Using Length-Robust Representation and Incremental Learning. IEEE Internet of Things Journal. 12(10). 14709–14719. 2 indexed citations
3.
Wan, Hong, Feng Shi, Yu Wang, et al.. (2025). SigMix: Robust Specific Emitter Identification Method Enhanced by Cross-Time and Cross-Receiver Mixing Augmentation. IEEE Internet of Things Journal. 12(12). 21339–21349.
4.
Wang, Yu, et al.. (2025). Robust Multimodal Road Extraction via Dual-Layer Evidential Fusion Networks for Remote Sensing. IEEE Transactions on Geoscience and Remote Sensing. 63. 1–11.
5.
Wan, Liangtian, et al.. (2025). Heterogeneous AAV Resource Scheduling for Dynamic Time Sensitive Target Detection and Interference. IEEE Internet of Things Journal. 12(12). 20030–20041.
6.
Hu, Y., et al.. (2025). FedDePF: Decentralized Personalized Federated Few-Shot Learning for Specific Emitter Identification. IEEE Internet of Things Journal. 1–1.
7.
Sun, Lu, et al.. (2024). Human-UAV Interaction Assisted Heterogeneous UAV Swarm Scheduling for Target Searching in Communication Denial Environment. IEEE Transactions on Automation Science and Engineering. 22. 4457–4472. 14 indexed citations
8.
Liu, Yumei, et al.. (2024). Specific Emitter Identification Based on Knowledge Embedding. 1661–1666.
9.
Jiao, Pengfei, et al.. (2024). GAGNN: Generative Adversarial Network and Graph Neural Network for Prognostic and Health Management. IEEE Internet of Things Journal. 11(24). 39448–39463. 1 indexed citations
10.
Peng, Yang, Yibin Zhang, Hao Huang, et al.. (2024). Low-Complexity Wireless Technique Classification With Multifeature Fusion Broad Learning Network. IEEE Internet of Things Journal. 11(21). 34434–34442. 2 indexed citations
11.
Gao, Hongyuan, et al.. (2024). Noncircularity-Based DOA Estimation for Incoherently Distributed Sources With Gain-Phase Uncertainties. IEEE Sensors Journal. 24(16). 26022–26033. 3 indexed citations
12.
Peng, Yang, Pengfei Liu, Qianyun Zhang, et al.. (2024). Dynamic Adaptation RFF Identification Method Leveraging Cognitive Representation Learning. IEEE Transactions on Information Forensics and Security. 19. 7939–7951. 5 indexed citations
13.
Sun, Lu, et al.. (2024). Cooperative Knowledge-Distillation-Based Tiny DNN for UAV-Assisted Mobile-Edge Network. IEEE Internet of Things Journal. 11(18). 30204–30216. 5 indexed citations
14.
Zhang, Sicheng, et al.. (2024). Channel-Robust Class-Universal Spectrum-Focused Frequency Adversarial Attacks on Modulated Classification Models. IEEE Transactions on Cognitive Communications and Networking. 10(4). 1280–1293. 9 indexed citations
15.
Zhang, Sicheng, et al.. (2024). HFAD: Homomorphic Filtering Adversarial Defense Against Adversarial Attacks in Automatic Modulation Classification. IEEE Transactions on Cognitive Communications and Networking. 10(3). 880–892. 8 indexed citations
16.
Wang, Meiyu, et al.. (2024). A Contrastive-Learning-Based Abnormal Electricity Load Detection Method. IEEE Internet of Things Journal. 11(22). 36619–36632. 1 indexed citations
17.
Zhang, Yibin, et al.. (2024). Enhancing Specific Emitter Identification: A Semi-Supervised Approach With Deep Cloud and Broad Edge Integration. IEEE Transactions on Information Forensics and Security. 20. 1092–1105. 2 indexed citations
18.
Wang, Meiyu, et al.. (2023). TESPOSDA-SEI: tensor embedding substructure preserving open set domain adaptation for specific emitter identification. Wireless Networks. 29(7). 2935–2951. 1 indexed citations
19.
Dou, Zheng, et al.. (2021). Relay Selection and Secure Connectivity Analysis in Energy Harvesting Multi-Hop D2D Networks. IEEE Communications Letters. 26(6). 1245–1248. 9 indexed citations
20.
Lin, Yun, et al.. (2020). Wireless Device Identification Based on Radio Frequency Fingerprint Features. 1–6. 37 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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