Mingkai Chen

649 total citations
68 papers, 430 citations indexed

About

Mingkai Chen is a scholar working on Computer Networks and Communications, Electrical and Electronic Engineering and Artificial Intelligence. According to data from OpenAlex, Mingkai Chen has authored 68 papers receiving a total of 430 indexed citations (citations by other indexed papers that have themselves been cited), including 36 papers in Computer Networks and Communications, 17 papers in Electrical and Electronic Engineering and 11 papers in Artificial Intelligence. Recurrent topics in Mingkai Chen's work include Caching and Content Delivery (15 papers), IoT and Edge/Fog Computing (14 papers) and Cooperative Communication and Network Coding (11 papers). Mingkai Chen is often cited by papers focused on Caching and Content Delivery (15 papers), IoT and Edge/Fog Computing (14 papers) and Cooperative Communication and Network Coding (11 papers). Mingkai Chen collaborates with scholars based in China, Singapore and Canada. Mingkai Chen's co-authors include Lei Wang, Xin Wei, Tianhai Chang, Jianxin Chen, Zhe Zhang, Chung–Horng Lung, Zhicai Zhang, Hikmet Sari, Guan Gui and Jiaming Liu and has published in prestigious journals such as IEEE Access, IEEE Communications Magazine and Sensors.

In The Last Decade

Mingkai Chen

58 papers receiving 414 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Mingkai Chen China 11 193 159 68 68 59 68 430
Soltan Alharbi Saudi Arabia 10 218 1.1× 212 1.3× 59 0.9× 64 0.9× 29 0.5× 17 454
Yasser Morgan Canada 10 276 1.4× 351 2.2× 72 1.1× 74 1.1× 50 0.8× 36 544
Kun Hua United States 10 193 1.0× 161 1.0× 38 0.6× 127 1.9× 38 0.6× 59 455
Manisha Chahal India 9 160 0.8× 288 1.8× 86 1.3× 46 0.7× 33 0.6× 11 541
Duarte Raposo Portugal 10 281 1.5× 167 1.1× 41 0.6× 42 0.6× 22 0.4× 53 427
Xingfa Shen China 12 282 1.5× 247 1.6× 58 0.9× 114 1.7× 27 0.5× 68 547
Takumi Miyoshi Japan 11 256 1.3× 168 1.1× 101 1.5× 58 0.9× 14 0.2× 125 442
Jinmei Shu China 4 190 1.0× 120 0.8× 73 1.1× 78 1.1× 35 0.6× 5 370
Fátima Duarte-Figueiredo Brazil 8 193 1.0× 321 2.0× 27 0.4× 44 0.6× 66 1.1× 24 463
C. Senthilkumar India 12 121 0.6× 116 0.7× 75 1.1× 63 0.9× 14 0.2× 51 401

Countries citing papers authored by Mingkai Chen

Since Specialization
Citations

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

Fields of papers citing papers by Mingkai Chen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mingkai Chen

This figure shows the co-authorship network connecting the top 25 collaborators of Mingkai Chen. A scholar is included among the top collaborators of Mingkai Chen 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 Mingkai Chen. Mingkai Chen 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, Mingkai, et al.. (2025). Explainable Artificial Intelligence Enhance Image Semantic Communication System in 6G-IoT. IEEE Internet of Things Journal. 13(5). 8036–8049.
2.
Chen, Mingkai, Congyan Wang, Xiaoming He, et al.. (2025). Embodied Artificial Intelligence-Enabled Internet of Vehicles: Challenges and Solutions. IEEE Vehicular Technology Magazine. 20(2). 63–70. 3 indexed citations
3.
Ling, Xintong, Rui Jiang, Mingkai Chen, et al.. (2025). Exploring MEC Server Strategy in Blockchain Networks: Mining for Mobile Users or for Self. IEEE Transactions on Mobile Computing. 24(7). 6030–6044. 2 indexed citations
4.
He, Xiaoming, et al.. (2025). QoE-Driven Proactive Caching With DRL in Sustainable Cloud-to-Edge Continuum. IEEE Transactions on Mobile Computing. 24(10). 10992–11004. 1 indexed citations
5.
Chen, Mingkai, et al.. (2025). LLM-Based Semantic Communication: The Way From Task-Originated to General. IEEE Wireless Communications Letters. 14(10). 3029–3033.
6.
He, Xiaoming, et al.. (2025). Large Language Model Offloading using Active Inference in 6G Symbiotic IoT. IEEE Internet of Things Journal. 1–1.
7.
Sun, Yao, et al.. (2025). Bandwidth Management in Semantic Communications: A Tradeoff Between Data Sensing and Transmission. IEEE Transactions on Vehicular Technology. 75(1). 617–630.
8.
Lu, Hang, Mingkai Chen, Zhe Zhang, et al.. (2025). Cross-Modal Haptic Compression Inspired by Embodied AI for Haptic Communications. IEEE Transactions on Multimedia. 27. 4996–5008.
9.
Du, Miao, Peng Yang, Yinqiu Liu, Xiaoming He, & Mingkai Chen. (2025). DP-Fed6G: An adaptive differential privacy-empowered federated learning framework for 6G networks. Digital Communications and Networks. 11(6). 1994–2002. 1 indexed citations
10.
Ding, Xiaojin, et al.. (2025). Initial Access Beam Management Framework for LEO Satellite Networks Integrated With 5G NR. IEEE Internet of Things Journal. 13(1). 181–195. 1 indexed citations
11.
Xu, Yikai, et al.. (2024). Dependency task offloading in semantic communications. Physical Communication. 66. 102403–102403. 2 indexed citations
12.
Lu, Hang, et al.. (2024). Vision-Assisted Cross-Modal Haptic Data Compression for Immersive Communication. 1–6. 2 indexed citations
13.
Chen, Mingkai, et al.. (2024). Federated KD-Assisted Image Semantic Communication in IoT Edge Learning. IEEE Internet of Things Journal. 11(21). 34215–34228. 2 indexed citations
14.
Rong, Yi, et al.. (2024). Edge Computing Enabled Large-Scale Traffic Flow Prediction With GPT in Intelligent Autonomous Transport System for 6G Network. IEEE Transactions on Intelligent Transportation Systems. 26(10). 17321–17338. 16 indexed citations
15.
Feng, Wei, et al.. (2023). Edge Computing Model based on Federated Learning for COVID-19 Clinical Outcome Prediction in the 5G Era. KSII Transactions on Internet and Information Systems. 2 indexed citations
16.
Zhang, Zhe, et al.. (2023). In-Network Caching for ICN-Based IoT (ICN-IoT): A Comprehensive Survey. IEEE Internet of Things Journal. 10(16). 14595–14620. 54 indexed citations
17.
Wang, Lei, Mingkai Chen, Kapal Dev, et al.. (2022). Resource Allocation for Multi-Traffic in Cross-Modal Communications. IEEE Transactions on Network and Service Management. 20(1). 60–72. 19 indexed citations
18.
Kang, Bin, et al.. (2022). Robust Resource Allocation for Indoor Self-Blockage Millimeter Wave Device-to-Device Communications. IEEE Open Journal of the Communications Society. 3. 902–911. 3 indexed citations
19.
Wang, Lei, Jiaming Liu, Mingkai Chen, Guan Gui, & Hikmet Sari. (2018). Optimization-Based Access Assignment Scheme for Physical-Layer Security in D2D Communications Underlaying a Cellular Network. IEEE Transactions on Vehicular Technology. 67(7). 5766–5777. 39 indexed citations
20.
Chen, Mingkai, Lei Wang, Jianxin Chen, & Xin Wei. (2017). QoE-Driven D2D Media Services Distribution Scheme in Cellular Networks. Wireless Communications and Mobile Computing. 2017. 1–10. 3 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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