Ming Zhu

3.1k total citations · 1 hit paper
155 papers, 2.1k citations indexed

About

Ming Zhu is a scholar working on Computer Vision and Pattern Recognition, Computer Networks and Communications and Electrical and Electronic Engineering. According to data from OpenAlex, Ming Zhu has authored 155 papers receiving a total of 2.1k indexed citations (citations by other indexed papers that have themselves been cited), including 62 papers in Computer Vision and Pattern Recognition, 22 papers in Computer Networks and Communications and 19 papers in Electrical and Electronic Engineering. Recurrent topics in Ming Zhu's work include Video Surveillance and Tracking Methods (18 papers), Advanced Vision and Imaging (14 papers) and Advanced Image Processing Techniques (12 papers). Ming Zhu is often cited by papers focused on Video Surveillance and Tracking Methods (18 papers), Advanced Vision and Imaging (14 papers) and Advanced Image Processing Techniques (12 papers). Ming Zhu collaborates with scholars based in China, United States and United Kingdom. Ming Zhu's co-authors include Jinlin Wang, Xuewen Zeng, Zhongzhen Yang, Wei Wang, Zewei Zheng, Gexiang Zhang, Weiguo Feng, Ferrante Neri, Haina Rong and Rui Liu and has published in prestigious journals such as Langmuir, Carbon and Food Chemistry.

In The Last Decade

Ming Zhu

140 papers receiving 2.1k citations

Hit Papers

End-to-end encrypted traffic classification with one-dime... 2017 2026 2020 2023 2017 100 200 300 400 500
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. End-to-end encrypted traffic classification with one-dimensional convolution neural networks
    2017 549 citations Ming Zhu et al. profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Ming Zhu China 22 646 610 600 296 254 155 2.1k
Ali Ismail Awad Egypt 24 713 1.1× 917 1.5× 771 1.3× 570 1.9× 89 0.4× 82 2.4k
Тао Чен China 18 298 0.5× 593 1.0× 554 0.9× 174 0.6× 119 0.5× 133 1.8k
Di Liu China 26 308 0.5× 565 0.9× 404 0.7× 76 0.3× 132 0.5× 209 2.2k
Muhammad Awais Pakistan 24 311 0.5× 278 0.5× 323 0.5× 89 0.3× 232 0.9× 112 1.9k
Dongjin Song United States 20 1.6k 2.4× 425 0.7× 522 0.9× 396 1.3× 134 0.5× 67 2.6k
Xuejun Li China 26 677 1.0× 485 0.8× 698 1.2× 108 0.4× 99 0.4× 166 2.1k
A. Prieto Spain 26 1.2k 1.8× 329 0.5× 310 0.5× 264 0.9× 140 0.6× 160 2.5k
Arslan Munir United States 26 382 0.6× 655 1.1× 440 0.7× 72 0.2× 113 0.4× 132 2.1k
Sijia Liu United States 23 756 1.2× 480 0.8× 262 0.4× 105 0.4× 155 0.6× 171 1.9k
Osama Ahmad Alomari Jordan 25 825 1.3× 204 0.3× 227 0.4× 112 0.4× 218 0.9× 55 1.7k

Countries citing papers authored by Ming Zhu

Since Specialization
Citations

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

Fields of papers citing papers by Ming Zhu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ming Zhu

This figure shows the co-authorship network connecting the top 25 collaborators of Ming Zhu. A scholar is included among the top collaborators of Ming Zhu 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 Zhu. Ming Zhu 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.
Sun, Kangwen, et al.. (2025). Stratospheric airship fixed-time trajectory planning based on reinforcement learning. Electronic Research Archive. 33(4). 1946–1967. 1 indexed citations
2.
Chen, Li, Dequan Zhang, Ming Zhu, et al.. (2024). Value-added utilization of hemoglobin and its hydrolysis products from livestock and poultry blood processing by-products: A review. Trends in Food Science & Technology. 151. 104645–104645. 9 indexed citations
3.
Feng, Hongbin, et al.. (2023). Novel competitive electrochemical impedance biosensor for the ultrasensitive detection of umami substances based on Pd/Cu-TCPP(Fe). Food Chemistry. 438. 137631–137631. 11 indexed citations
4.
He, Yinjun, Xiang Zhang, Ming Zhu, et al.. (2023). Soluble PD-L1: a potential dynamic predictive biomarker for immunotherapy in patients with proficient mismatch repair colorectal cancer. Journal of Translational Medicine. 21(1). 46–46. 25 indexed citations
5.
Zhu, Ming, et al.. (2023). Weather Radar Super-Resolution Reconstruction Based on Residual Attention Back-Projection Network. Remote Sensing. 15(8). 1999–1999. 3 indexed citations
6.
Tang, Tao, Min Xu, Melad M. Olaimat, et al.. (2022). Enhancing the Directivity of Antennas Using Plasma Rings. IEEE Transactions on Plasma Science. 50(11). 4582–4588. 3 indexed citations
7.
Zhu, Ming, et al.. (2022). Deep Learning-Based Monocular 3D Object Detection with Refinement of Depth Information. Sensors. 22(7). 2576–2576. 6 indexed citations
8.
Ma, Guoqi, et al.. (2021). Central Feature Learning for Unsupervised Person Re-identification. International Journal of Pattern Recognition and Artificial Intelligence. 35(8). 2151007–2151007. 2 indexed citations
9.
Xu, Rangwei, et al.. (2021). Prediction of Newhall navel orange internal quality based on digital microscopy. International journal of agricultural and biological engineering. 14(6). 222–227. 1 indexed citations
10.
Ma, Guoqi, et al.. (2021). Fast Momentum Contrast Learning for Unsupervised Person Re-Identification. IEEE Signal Processing Letters. 28. 2073–2077. 8 indexed citations
11.
Wang, Shuo, et al.. (2019). GANA-VDC: Application-Aware with Bandwidth Guarantee in Cloud Datacenters. Electronics. 8(3). 258–258. 1 indexed citations
12.
Pu, Lijie, et al.. (2019). Progress and review of the research of farmland requisition-compensation balance in China. 资源科学. 41(12). 2342–2355. 7 indexed citations
13.
Zhu, Ming, et al.. (2018). Adaptive neural network control for a quadrotor landing on a moving vehicle. 28–33. 6 indexed citations
14.
Zhu, Ming, Gexiang Zhang, Qiang Yang, et al.. (2018). P Systems-Based Computing Polynomials With Integer Coefficients: Design and Formal Verification. IEEE Transactions on NanoBioscience. 17(3). 272–280. 3 indexed citations
15.
Yang, Qiang, et al.. (2016). Decentralized Robust Adaptive Output Feedback Stabilization for Interconnected Nonlinear Systems with Uncertainties. Journal of Control Science and Engineering. 2016. 1–12. 1 indexed citations
16.
Zhu, Ming. (2010). Evaluation of Tone Mapping Algorithms for HDR Images in Photoshop CS3. Packaging Engineering.
17.
Zhu, Ming. (2009). Vehicle Routing Optimization Based on Improved PSO. 1 indexed citations
18.
Zhu, Ming. (2009). VCR Implementation Based on GOP Fetching and Variable Frame Rate. Dianzi xuebao. 2 indexed citations
19.
Zhu, Ming. (2003). New progress in catalysts for preparation of methanol. Xiandai huagong. 1 indexed citations
20.
Chiou, George C.Y., et al.. (1992). Effects of Some Natural Products on Sugar Cataract Studied with Nuclear Magnetic Resonance Spectroscopy. Journal of Ocular Pharmacology and Therapeutics. 8(2). 115–120. 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.

Explore authors with similar magnitude of impact

Breakdown of academic impact, for papers by Ali Ismail Awad Breakdown of academic impact, for papers by Тао Чен Breakdown of academic impact, for papers by Di Liu Breakdown of academic impact, for papers by Muhammad Awais Breakdown of academic impact, for papers by Dongjin Song Breakdown of academic impact, for papers by Xuejun Li Breakdown of academic impact, for papers by A. Prieto Breakdown of academic impact, for papers by Arslan Munir Breakdown of academic impact, for papers by Sijia Liu Breakdown of academic impact, for papers by Osama Ahmad Alomari
Rankless by CCL
2026