Ming Zhao

4.6k total citations · 3 hit papers
249 papers, 3.2k citations indexed

About

Ming Zhao is a scholar working on Computer Networks and Communications, Electrical and Electronic Engineering and Artificial Intelligence. According to data from OpenAlex, Ming Zhao has authored 249 papers receiving a total of 3.2k indexed citations (citations by other indexed papers that have themselves been cited), including 154 papers in Computer Networks and Communications, 121 papers in Electrical and Electronic Engineering and 41 papers in Artificial Intelligence. Recurrent topics in Ming Zhao's work include IoT and Edge/Fog Computing (36 papers), Cooperative Communication and Network Coding (33 papers) and Advanced MIMO Systems Optimization (30 papers). Ming Zhao is often cited by papers focused on IoT and Edge/Fog Computing (36 papers), Cooperative Communication and Network Coding (33 papers) and Advanced MIMO Systems Optimization (30 papers). Ming Zhao collaborates with scholars based in China, United States and Japan. Ming Zhao's co-authors include Zhigang Chen, Anfeng Liu, Fengxiao Tang, Jia Wu, Tian Wang, Yusen Zhu, Sohaib Asif, Nei Kato, Xuehan Chen and Kelvin K. L. Wong and has published in prestigious journals such as IEEE Communications Surveys & Tutorials, IEEE Access and IEEE Journal on Selected Areas in Communications.

In The Last Decade

Ming Zhao

225 papers receiving 3.1k citations

Hit Papers

A Survey on Intelligent Network Operations and Performanc... 2025 2026 2025 2025 2025 5 10 15 20
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. A Survey on Intelligent Network Operations and Performance Optimization Based on Large Language Models
    2025 22 citations S.Y. Long, Bomin Mao et al. IEEE Communications Surveys & Tutorials profile →
  2. An amalgamation of deep neural networks optimized with Salp swarm algorithm for cervical cancer detection
    2025 17 citations Sohaib Asif, Ming Zhao et al. Computers & Electrical Engineering profile →
  3. Detection of MRI brain tumor using residual skip block based modified MobileNet model
    2025 17 citations Saif Ur Rehman Khan, Ming Zhao et al. profile →

Peers

Ming Zhao
Won‐Joo Hwang South Korea
Huanlai Xing China
Omar Cheikhrouhou Tunisia
Long Hu China
Bhisham Sharma India
Kai Liu China
Ayman Altameem Saudi Arabia
Tao Han United States
Fengxiao Tang China
Ali Safaa Sadiq United Kingdom
Won‐Joo Hwang South Korea
Ming Zhao
Citations per year, relative to Ming Zhao Ming Zhao (= 1×) peers Won‐Joo Hwang

Countries citing papers authored by Ming Zhao

Since Specialization
Citations

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

Fields of papers citing papers by Ming Zhao

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ming Zhao

This figure shows the co-authorship network connecting the top 25 collaborators of Ming Zhao. A scholar is included among the top collaborators of Ming Zhao 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 Ming Zhao. Ming Zhao 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.
Asif, Sohaib, et al.. (2025). An amalgamation of deep neural networks optimized with Salp swarm algorithm for cervical cancer detection. Computers & Electrical Engineering. 123. 110106–110106. 17 indexed citations breakdown →
2.
3.
Long, S.Y., Bomin Mao, Fengxiao Tang, et al.. (2025). A Survey on Intelligent Network Operations and Performance Optimization Based on Large Language Models. IEEE Communications Surveys & Tutorials. 27(6). 3915–3949. 22 indexed citations breakdown →
4.
Tang, Fengxiao, et al.. (2025). A Survey on Applications of Large Language Model-Driven Digital Twins for Intelligent Network Optimization. IEEE Communications Surveys & Tutorials. 28. 3388–3411. 7 indexed citations
5.
Asif, Sohaib, Ming Zhao, Yangfan Li, et al.. (2024). AI-Based Approaches for the Diagnosis of Mpox: Challenges and Future Prospects. Archives of Computational Methods in Engineering. 31(6). 3585–3617. 24 indexed citations
6.
Tang, Fengxiao, et al.. (2024). Utilizing Large Language Models for Advanced Optimization and Intelligent Management in Space-Air-Ground Integrated Networks. IEEE Network. 39(5). 173–181. 4 indexed citations
7.
Chen, Long, et al.. (2024). Optimized Congestion Control Algorithm for QUIC in Wireless Networks: CubicBytes-N Algorithm. IEEE Internet of Things Journal. 11(22). 36475–36485. 2 indexed citations
8.
9.
Asif, Sohaib, et al.. (2024). Differential evolution optimization based ensemble framework for accurate cervical cancer diagnosis. Applied Soft Computing. 167. 112366–112366. 16 indexed citations
10.
Chen, Xuehan, et al.. (2024). Frequency Selective Surface Toward 6G Communication Systems: A Contemporary Survey. IEEE Communications Surveys & Tutorials. 26(3). 1635–1675. 28 indexed citations
11.
Chen, Xuehan, et al.. (2024). AIGC-Based Evolvable Digital Twin Networks: A Road to the Intelligent Metaverse. IEEE Network. 38(6). 370–379. 18 indexed citations
12.
Dai, Xunhua, et al.. (2023). Intelligent Configuration Method Based on UAV-Driven Frequency Selective Surface for Communication Band Shielding. IEEE Internet of Things Journal. 10(13). 11507–11517. 15 indexed citations
13.
Tang, Fengxiao, Xuehan Chen, Tiago Koketsu Rodrigues, Ming Zhao, & Nei Kato. (2022). Survey on Digital Twin Edge Networks (DITEN) Toward 6G. IEEE Open Journal of the Communications Society. 3. 1360–1381. 98 indexed citations
14.
Zhao, Ming, et al.. (2022). Learning Based Massive Data Offloading in the IoV: Routing Based on Pre-RLGA. IEEE Transactions on Network Science and Engineering. 9(4). 2330–2340. 17 indexed citations
15.
Shu, Ting, Wei Liu, Tian Wang, et al.. (2019). Broadcast Based Code Dissemination Scheme for Duty Cycle Based Wireless Sensor Networks. IEEE Access. 7. 105258–105286. 27 indexed citations
16.
Wang, Qiang, Wei Liu, Tian Wang, et al.. (2019). Reducing Delay and Maximizing Lifetime for Wireless Sensor Networks With Dynamic Traffic Patterns. IEEE Access. 7. 70212–70236. 18 indexed citations
17.
Liu, Wei, Tian Wang, Ming Zhao, et al.. (2019). To Reduce Delay, Energy Consumption and Collision through Optimization Duty-Cycle and Size of Forwarding Node Set in WSNs. IEEE Access. 7. 55983–56015. 35 indexed citations
18.
Yao, Xin, et al.. (2018). Verifiable Keyword-Based Semantic Similarity Search on Social Data Outsourcing. IEEE Access. 7. 5616–5625. 8 indexed citations
19.
Zhao, Ming, Dong Tian, & Xiaoshuan Zhang. (2009). Geometry modeling for cotton leaf based on NURBS. WSEAS Transactions on Information Science and Applications archive. 6(10). 1615–1624. 1 indexed citations
20.
Wang, Jibing, Ming Zhao, Shidong Zhou, & Yan Yao. (2001). Virtualization of Wireless Communication Systems and Its Maximal Ratio Combining Macrodiversity To Extend CDMA Capacity. Tsinghua Science & Technology. 6(1). 45–48. 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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