Ming Zhao

378 total papers · 4.5k total citations
248 papers, 3.1k 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 248 papers receiving a total of 3.1k indexed citations (citations by other indexed papers that have themselves been cited), including 153 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 (35 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 (35 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, Jia Wu, Fengxiao Tang, 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 Journal on Selected Areas in Communications and IEEE Access.

In The Last Decade

Ming Zhao

224 papers receiving 3.0k citations

Hit Papers

Detection of MRI brain tu... 2025 2026 2025 2025 2025 5 10 15
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 benchmark for papers published in the same subfield and year, or reaches the top citation threshold in at least one of its specific research topics.

  1. Detection of MRI brain tumor using residual skip block based modified MobileNet model
    2025 17 citations Saif Ur Rehman Khan, Ming Zhao et al. Cluster Computing profile →
  2. A Survey on Intelligent Network Operations and Performance Optimization Based on Large Language Models
    2025 16 citations S.Y. Long, Bomin Mao et al. IEEE Communications Surveys & Tutorials profile →
  3. An amalgamation of deep neural networks optimized with Salp swarm algorithm for cervical cancer detection
    2025 15 citations Sohaib Asif, Ming Zhao et al. Computers & Electrical Engineering profile →

Author Peers

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

Author Last Decade Papers Cites
Ming Zhao 1.9k 1.2k 526 318 283 248 3.1k
Naima Kaabouch 1.4k 0.7× 1.1k 0.9× 856 1.6× 460 1.4× 419 1.5× 181 3.6k
Huanlai Xing 1.4k 0.7× 651 0.6× 1.1k 2.2× 409 1.3× 526 1.9× 145 3.1k
Shalli Rani 1.7k 0.9× 965 0.8× 530 1.0× 617 1.9× 317 1.1× 218 3.1k
Won‐Joo Hwang 1.7k 0.9× 1.7k 1.5× 901 1.7× 492 1.5× 266 0.9× 106 3.5k
Omar Cheikhrouhou 1.4k 0.8× 589 0.5× 626 1.2× 767 2.4× 537 1.9× 122 2.7k
Shigen Shen 2.0k 1.0× 670 0.6× 1.3k 2.5× 841 2.6× 318 1.1× 145 3.9k
Quan Yuan 1.1k 0.6× 649 0.6× 674 1.3× 429 1.3× 408 1.4× 144 2.7k
Muhammad Bilal 1.7k 0.9× 821 0.7× 701 1.3× 852 2.7× 388 1.4× 196 3.2k
Rajeev Agrawal 1.5k 0.8× 1.2k 1.0× 692 1.3× 214 0.7× 322 1.1× 183 2.9k
Gyanendra Prasad Joshi 721 0.4× 701 0.6× 448 0.9× 327 1.0× 435 1.5× 154 2.6k

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

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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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2026