Keping Yu

15.8k total citations · 10 hit papers
362 papers, 10.6k citations indexed

About

Keping Yu is a scholar working on Electrical and Electronic Engineering, Computer Networks and Communications and Artificial Intelligence. According to data from OpenAlex, Keping Yu has authored 362 papers receiving a total of 10.6k indexed citations (citations by other indexed papers that have themselves been cited), including 145 papers in Electrical and Electronic Engineering, 143 papers in Computer Networks and Communications and 92 papers in Artificial Intelligence. Recurrent topics in Keping Yu's work include IoT and Edge/Fog Computing (71 papers), Privacy-Preserving Technologies in Data (43 papers) and Advanced Data and IoT Technologies (38 papers). Keping Yu is often cited by papers focused on IoT and Edge/Fog Computing (71 papers), Privacy-Preserving Technologies in Data (43 papers) and Advanced Data and IoT Technologies (38 papers). Keping Yu collaborates with scholars based in Japan, China and Saudi Arabia. Keping Yu's co-authors include Liang Tan, Zhiwei Guo, Ali Kashif Bashir, Gautam Srivastava, Shahid Mumtaz, Moayad Aloqaily, Mamoun Alazab, Chaosheng Feng, Jerry Chun‐Wei Lin and Yaser Jararweh and has published in prestigious journals such as SHILAP Revista de lepidopterología, Scientific Reports and Applied Energy.

In The Last Decade

Keping Yu

331 papers receiving 10.2k citations

Hit Papers

Blockchain-Enhanced Data ... 2021 2026 2022 2024 2021 2021 2021 2022 2021 50 100 150 200 250
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. Blockchain-Enhanced Data Sharing With Traceable and Direct Revocation in IIoT
    2021 268 citations Keping Yu et al. profile →
  2. Deep-Learning-Empowered Breast Cancer Auxiliary Diagnosis for 5GB Remote E-Health
    2021 200 citations Keping Yu et al. profile →
  3. Securing Critical Infrastructures: Deep-Learning-Based Threat Detection in IIoT
    2021 183 citations Keping Yu, Anwer Al‐Dulaimi et al. profile →
  4. Edge YOLO: Real-Time Intelligent Object Detection System Based on Edge-Cloud Cooperation in Autonomous Vehicles
    2022 178 citations Siyuan Liang, Hao Wu et al. IEEE Transactions on Intelligent Transportation Systems profile →
  5. Efficient and Secure Data Sharing for 5G Flying Drones: A Blockchain-Enabled Approach
    2021 167 citations Chaosheng Feng, Keping Yu et al. profile →
  6. Blockchain-Based Cross-Domain Authentication for Intelligent 5G-Enabled Internet of Drones
    2021 165 citations Chaosheng Feng, Bin Liu et al. IEEE Internet of Things Journal profile →
  7. Towards Secure and Privacy-Preserving Data Sharing for COVID-19 Medical Records: A Blockchain-Empowered Approach
    2021 158 citations Keping Yu et al. IEEE Transactions on Network Science and Engineering profile →
  8. Secure Artificial Intelligence of Things for Implicit Group Recommendations
    2021 142 citations Keping Yu, Zhiwei Guo et al. IEEE Internet of Things Journal profile →
  9. A Comprehensive Survey on Artificial Intelligence Empowered Edge Computing on Consumer Electronics
    2023 122 citations Keping Yu et al. profile →
  10. Digital Twin Empowered Wireless Healthcare Monitoring for Smart Home
    2023 81 citations Wei Wang, Keping Yu et al. profile →

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Keping Yu 3.6k 3.4k 3.0k 2.6k 1.8k 362 10.6k
Fadi Al‐Turjman 2.9k 0.8× 4.9k 1.4× 2.8k 0.9× 2.6k 1.0× 1.2k 0.7× 383 11.6k
Shaohua Wan 2.4k 0.7× 3.6k 1.1× 2.9k 0.9× 1.9k 0.7× 3.2k 1.8× 308 11.6k
Ali Kashif Bashir 2.6k 0.7× 4.5k 1.3× 3.1k 1.0× 2.4k 0.9× 1.2k 0.7× 349 10.0k
Quoc‐Viet Pham 3.1k 0.9× 3.3k 1.0× 3.0k 1.0× 1.6k 0.6× 1.1k 0.6× 169 10.3k
Kaoru Ota 4.1k 1.1× 6.6k 2.0× 2.5k 0.8× 2.2k 0.9× 1.5k 0.8× 360 11.5k
Vinay Chamola 2.5k 0.7× 3.7k 1.1× 2.4k 0.8× 3.4k 1.3× 1.0k 0.6× 241 10.2k
Tie Qiu 3.0k 0.8× 5.0k 1.5× 2.0k 0.6× 1.6k 0.6× 1.3k 0.7× 261 9.1k
Ala Al‐Fuqaha 4.1k 1.1× 6.4k 1.9× 2.4k 0.8× 2.5k 1.0× 1.8k 1.0× 222 12.9k
Zhaolong Ning 4.1k 1.1× 6.2k 1.8× 2.0k 0.7× 2.3k 0.9× 1.2k 0.7× 210 10.0k
Sudeep Tanwar 3.7k 1.0× 5.6k 1.7× 3.1k 1.0× 6.5k 2.5× 1.3k 0.7× 607 15.6k

Countries citing papers authored by Keping Yu

Since Specialization
Citations

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

Fields of papers citing papers by Keping Yu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Keping Yu

This figure shows the co-authorship network connecting the top 25 collaborators of Keping Yu. A scholar is included among the top collaborators of Keping Yu 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 Keping Yu. Keping Yu 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
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Yuan, Xiaoming, et al.. (2025). Retraction Notice: A DQN-Based Frame Aggregation and Task Offloading Approach for Edge-Enabled IoMT. IEEE Transactions on Network Science and Engineering. 12(5). 4330–4330.
4.
Chen, Shengbo, Shuai Li, Guanghui Wang, & Keping Yu. (2024). Finite-horizon energy allocation scheme in energy harvesting-based linear wireless sensor network. Future Generation Computer Systems. 162. 107493–107493. 2 indexed citations
5.
Di, Xiaoqiang, et al.. (2024). IoVST: An anomaly detection method for IoV based on spatiotemporal feature fusion. Future Generation Computer Systems. 166. 107636–107636. 1 indexed citations
6.
Zhao, Liang, et al.. (2024). QoS-Aware Multihop Task Offloading in Satellite–Terrestrial Edge Networks. IEEE Internet of Things Journal. 11(19). 31453–31466. 16 indexed citations
7.
Yang, Fan, et al.. (2024). A Federated Reinforcement Learning Approach for Optimizing Wireless Communication in UAV-Enabled IoT Network With Dense Deployments. IEEE Internet of Things Journal. 11(20). 33953–33966. 8 indexed citations
8.
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Zhao, Liang, Ammar Hawbani, Zhi Liu, et al.. (2024). Collaborative Overtaking Strategy for Enhancing Overall Effectiveness of Mixed Connected and Connectionless Vehicles. IEEE Transactions on Mobile Computing. 23(12). 13556–13572. 8 indexed citations
10.
Guo, Zhiwei, et al.. (2024). Consumer QoE-Aware Cognitive Semantic Sentiment Analysis via Hybrid Large Models. IEEE Consumer Electronics Magazine. 14(2). 59–68. 4 indexed citations
11.
Jie, Huang, et al.. (2024). Energy Efficiency Maximization in UAV-Assisted Intelligent Autonomous Transport System for 6G Networks With Energy Harvesting. IEEE Transactions on Intelligent Transportation Systems. 26(10). 17212–17222. 7 indexed citations
12.
Jian, Xin, et al.. (2024). High-Reliability Low-Latency Intelligent Geographic Routing Protocol for Vehicle Road Cooperation System. IEEE Internet of Things Journal. 12(2). 1774–1788.
13.
Wang, Yong, Xian Wei, Xuan Tang, Keping Yu, & Lingkun Luo. (2023). RGBT tracking using randomly projected CNN features. Expert Systems with Applications. 223. 119865–119865. 4 indexed citations
14.
Bashir, Ali Kashif, et al.. (2023). A remote sensing image rotation object detection approach for real-time environmental monitoring. Sustainable Energy Technologies and Assessments. 57. 103270–103270. 12 indexed citations
15.
Wang, Wei, et al.. (2023). Node Connection Strength Matrix-Based Graph Convolution Network for Traffic Flow Prediction. IEEE Transactions on Vehicular Technology. 72(9). 12063–12074. 37 indexed citations
16.
Duan, Youxiang, Ning Chen, Ali Kashif Bashir, et al.. (2022). A Web Knowledge-Driven Multimodal Retrieval Method in Computational Social Systems: Unsupervised and Robust Graph Convolutional Hashing. IEEE Transactions on Computational Social Systems. 11(3). 3146–3156. 12 indexed citations
17.
Liang, Siyuan, Hao Wu, Li Zhen, et al.. (2022). Edge YOLO: Real-Time Intelligent Object Detection System Based on Edge-Cloud Cooperation in Autonomous Vehicles. IEEE Transactions on Intelligent Transportation Systems. 23(12). 25345–25360. 178 indexed citations breakdown →
18.
Guo, Zhiwei, Keping Yu, Alireza Jolfaei, et al.. (2022). Mixed Graph Neural Network-Based Fake News Detection for Sustainable Vehicular Social Networks. IEEE Transactions on Intelligent Transportation Systems. 24(12). 15486–15498. 71 indexed citations
19.
Feng, Chaosheng, et al.. (2021). Blockchain-Based Cross-Domain Authentication for Intelligent 5G-Enabled Internet of Drones. IEEE Internet of Things Journal. 9(8). 6224–6238. 165 indexed citations breakdown →
20.
Li, Wenjuan, et al.. (2020). Challenge-based collaborative intrusion detection in software-defined networking: an evaluation. Digital Communications and Networks. 7(2). 257–263. 23 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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