Yu Qiao

413 total citations
27 papers, 195 citations indexed

About

Yu Qiao is a scholar working on Electrical and Electronic Engineering, Artificial Intelligence and Computer Networks and Communications. According to data from OpenAlex, Yu Qiao has authored 27 papers receiving a total of 195 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Electrical and Electronic Engineering, 9 papers in Artificial Intelligence and 6 papers in Computer Networks and Communications. Recurrent topics in Yu Qiao's work include Privacy-Preserving Technologies in Data (5 papers), Energy Harvesting in Wireless Networks (4 papers) and Advanced Wireless Communication Technologies (4 papers). Yu Qiao is often cited by papers focused on Privacy-Preserving Technologies in Data (5 papers), Energy Harvesting in Wireless Networks (4 papers) and Advanced Wireless Communication Technologies (4 papers). Yu Qiao collaborates with scholars based in South Korea, United States and China. Yu Qiao's co-authors include Apurba Adhikary, Avi Deb Raha, Choong Seon Hong, Md. Shirajum Munir, Chaoning Zhang, Zhu Han, Sheikh Mohammed Shariful Islam, Rameswar Debnath, Md. Mehedi Hassan and Zilong Jin and has published in prestigious journals such as IEEE Access, Neural Networks and IEEE Internet of Things Journal.

In The Last Decade

Yu Qiao

24 papers receiving 188 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Yu Qiao South Korea	10	77	75	25	24	23	27	195
Avi Deb Raha South Korea	9	76 1.0×	76 1.0×	14 0.6×	33 1.4×	26 1.1×	37	206
Yae Jee Cho South Korea	7	99 1.3×	116 1.5×	26 1.0×	22 0.9×	62 2.7×	11	253
Banghua Zhu United States	7	93 1.2×	65 0.9×	25 1.0×	10 0.4×	19 0.8×	15	189
Dimitris Uzunidis Greece	12	13 0.2×	272 3.6×	52 2.1×	17 0.7×	14 0.6×	64	354
Himanshu Sharma India	11	43 0.6×	218 2.9×	85 3.4×	14 0.6×	30 1.3×	35	291
Mohammad Kazemi Iran	9	49 0.6×	200 2.7×	100 4.0×	32 1.3×	31 1.3×	45	254
Mastaneh Mokayef Malaysia	7	87 1.1×	150 2.0×	29 1.2×	14 0.6×	141 6.1×	28	271
Shaochuan Wu China	10	40 0.5×	136 1.8×	119 4.8×	26 1.1×	36 1.6×	43	248
Syed Hussain Ali Kazmi Malaysia	9	62 0.8×	148 2.0×	109 4.4×	11 0.5×	44 1.9×	22	236
Abdulaziz Alashbi Türkiye	3	23 0.3×	147 2.0×	68 2.7×	18 0.8×	50 2.2×	7	246

Countries citing papers authored by Yu Qiao

Since Specialization

Citations

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

Fields of papers citing papers by Yu Qiao

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yu Qiao

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

All Works

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20 of 20 papers shown

Adhikary, Apurba, et al.. (2025). An Age of Service and Transformer-Driven Transfer Learning Framework for Holographic MIMO-Enabled 6G Networks. IEEE Transactions on Network Science and Engineering. 13. 948–965. 1 indexed citations

Qiao, Yu, Apurba Adhikary, Ki Tae Kim, et al.. (2025). Federated Hybrid Training and Self-Adversarial Distillation: Towards Robust Edge Networks. IEEE Transactions on Network Science and Engineering. 13. 2128–2145.

Qiao, Yu, et al.. (2025). Cross-modal prototype based multimodal federated learning under severely missing modality. Information Fusion. 122. 103219–103219. 2 indexed citations

Qiao, Yu, Huy Quang Lê, Mengchun Zhang, et al.. (2024). FedCCL: Federated dual-clustered feature contrast under domain heterogeneity. Information Fusion. 113. 102645–102645. 6 indexed citations

Qiao, Yu, Apurba Adhikary, Chaoning Zhang, & Choong Seon Hong. (2024). Towards Robust Federated Learning via Logits Calibration on Non-IID Data. 1–7. 3 indexed citations

Adhikary, Apurba, Avi Deb Raha, Yu Qiao, et al.. (2024). Holographic MIMO With Integrated Sensing and Communication for Energy-Efficient Cell-Free 6G Networks. IEEE Internet of Things Journal. 11(19). 30617–30635. 12 indexed citations

Adhikary, Apurba, Avi Deb Raha, Yu Qiao, et al.. (2024). A Power Allocation Framework for Holographic MIMO-Aided Energy-Efficient Cell-Free Networks. 5546–5552. 1 indexed citations

Zhang, Yongting, Lijun Li, Jing Shao, et al.. (2024). PsySafe: A Comprehensive Framework for Psychological-based Attack, Defense, and Evaluation of Multi-agent System Safety. 15202–15231. 4 indexed citations

Yang, Chao, et al.. (2024). Attacks, Defenses and Evaluations for LLM Conversation Safety: A Survey. 6734–6747. 9 indexed citations

10.

Adhikary, Apurba, et al.. (2024). Transfer Learning Empowered Power Allocation in Holographic MIMO-enabled Wireless Network. 1–7. 3 indexed citations

11.

Nguyen, Minh N. H., et al.. (2024). FedMEKT: Distillation-based embedding knowledge transfer for multimodal federated learning. Neural Networks. 183. 107017–107017. 9 indexed citations

12.

Xing, Cheng, et al.. (2024). Federated Learning with LSTM Neural Network for Regional Load Forecasting. 619–624. 1 indexed citations

13.

Qiao, Yu, Chaoning Zhang, Apurba Adhikary, & Choong Seon Hong. (2024). Logit Calibration and Feature Contrast for Robust Federated Learning on Non-IID Data. IEEE Transactions on Network Science and Engineering. 12(2). 636–652. 1 indexed citations

14.

Raha, Avi Deb, Rameswar Debnath, Apurba Adhikary, et al.. (2024). Attention to Monkeypox: An Interpretable Monkeypox Detection Technique Using Attention Mechanism. IEEE Access. 12. 51942–51965. 31 indexed citations

15.

Adhikary, Apurba, et al.. (2023). Intelligent Omni Surface-Assisted Cell-Free Massive MIMO System for 6G Wireless Network. 376–381. 4 indexed citations

16.

Qiao, Yu, et al.. (2022). Behaviour-based grey wolf optimiser for a wireless sensor network deployment problem. International Journal of Ad Hoc and Ubiquitous Computing. 39(1/2). 70–70. 6 indexed citations

17.

Ye, Ming, et al.. (2021). Research on Robotic Process Automation Application in Electricity Charge Settlement for Distributed Photovoltaic Power Generation. Journal of Physics Conference Series. 2010(1). 12035–12035.

18.

Jin, Zilong & Yu Qiao. (2018). A novel node selection scheme for energy-efficient cooperative spectrum sensing using D–S theory. Wireless Networks. 26(1). 269–281. 1 indexed citations

19.

Jin, Zilong, Yu Qiao, Alex X. Liu, & Lejun Zhang. (2018). EESS: An Energy‐Efficient Spectrum Sensing Method by Optimizing Spectrum Sensing Node in Cognitive Radio Sensor Networks. Wireless Communications and Mobile Computing. 2018(1). 10 indexed citations

20.

Qiao, Yu, Zilong Jin, Kan Yao, & Tinghuai Ma. (2018). An Energy-Efficient Cooperative Spectrum Sensing Scheme based on D-S Theory in Cognitive Radio Sensor Networks. 1–6. 1 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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