Mingyi Zhou

1.1k total citations
20 papers, 666 citations indexed

About

Mingyi Zhou is a scholar working on Signal Processing, Artificial Intelligence and Computer Networks and Communications. According to data from OpenAlex, Mingyi Zhou has authored 20 papers receiving a total of 666 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Signal Processing, 5 papers in Artificial Intelligence and 3 papers in Computer Networks and Communications. Recurrent topics in Mingyi Zhou's work include Advanced Malware Detection Techniques (5 papers), Modular Robots and Swarm Intelligence (2 papers) and Adversarial Robustness in Machine Learning (2 papers). Mingyi Zhou is often cited by papers focused on Advanced Malware Detection Techniques (5 papers), Modular Robots and Swarm Intelligence (2 papers) and Adversarial Robustness in Machine Learning (2 papers). Mingyi Zhou collaborates with scholars based in China, United States and Australia. Mingyi Zhou's co-authors include Liaqat Ali, Yipeng Liu, Ce Zhu, Ashir Javeed, Atiqur Rahman, Irfan Ullah Khan, Javed Ali Khan, Jing Wu, Shuaicheng Liu and Celso E. Gómez-Sánchez and has published in prestigious journals such as Expert Systems with Applications, IEEE Access and Biochemical Pharmacology.

In The Last Decade

Mingyi Zhou

18 papers receiving 633 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Mingyi Zhou China	10	261	191	116	83	70	20	666
S. J. Pöppl Germany	14	148 0.6×	54 0.3×	49 0.4×	29 0.3×	58 0.8×	34	672
Pooja Rani India	12	199 0.8×	267 1.4×	21 0.2×	32 0.4×	19 0.3×	32	497
Akif Doğantekin Türkiye	9	207 0.8×	133 0.7×	40 0.3×	16 0.2×	129 1.8×	16	467
Son Vu Truong Dao Vietnam	16	109 0.4×	81 0.4×	30 0.3×	30 0.4×	74 1.1×	54	762
Yakubu Imrana China	7	268 1.0×	30 0.2×	38 0.3×	139 1.7×	22 0.3×	9	457
Lale Özyılmaz Türkiye	8	125 0.5×	106 0.6×	35 0.3×	13 0.2×	57 0.8×	19	318
D.L. Hudson United States	10	179 0.7×	24 0.1×	50 0.4×	61 0.7×	42 0.6×	60	525
Manpreet Kaur India	13	175 0.7×	17 0.1×	17 0.1×	66 0.8×	227 3.2×	48	653
Rekh Ram Janghel India	16	298 1.1×	106 0.6×	10 0.1×	43 0.5×	110 1.6×	62	977
Donna L. Hudson United States	12	138 0.5×	36 0.2×	37 0.3×	45 0.5×	32 0.5×	48	715

Countries citing papers authored by Mingyi Zhou

Since Specialization

Citations

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

Fields of papers citing papers by Mingyi Zhou

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mingyi Zhou

This figure shows the co-authorship network connecting the top 25 collaborators of Mingyi Zhou. A scholar is included among the top collaborators of Mingyi Zhou 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 Mingyi Zhou. Mingyi Zhou is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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20 of 20 papers shown

Zhou, Mingyi, et al.. (2025). HapRepair: Learn to Repair OpenHarmony Apps. 319–330.

Zhou, Mingyi, et al.. (2025). HapTest: The Dynamic Analysis Framework for OpenHarmony. Open Repository and Bibliography (University of Luxembourg). 422–431.

Chen, D., et al.. (2025). ArkAnalyzer: The Static Analysis Framework for OpenHarmony. 136–147. 1 indexed citations

Chen, D., Mingyi Zhou, Yanjie Zhao, et al.. (2024). LLM for Mobile: An Initial Roadmap. ACM Transactions on Software Engineering and Methodology. 34(5). 1–29. 1 indexed citations

Wu, Jing, Munawar Hayat, Mingyi Zhou, & Mehrtash Harandi. (2024). Concealing Sensitive Samples against Gradient Leakage in Federated Learning. Proceedings of the AAAI Conference on Artificial Intelligence. 38(19). 21717–21725. 5 indexed citations

Zhou, Mingyi, Xiang Gao, John Grundy, et al.. (2024). Model-less Is the Best Model: Generating Pure Code Implementations to Replace On-Device DL Models. 174–185. 2 indexed citations

Li, Yanhui, Jinying Guo, Yingying Wang, et al.. (2023). Effects of hydrocolloids as fat-replacers on the physicochemical and structural properties of salt-soluble protein isolated from water-boiled pork meatballs. Meat Science. 204. 109280–109280. 24 indexed citations

Tsai, Chih‐Chien, Mingyi Zhou, Yipeng Liu, et al.. (2022). Deep learning based diagnosis of Parkinson’s Disease using diffusion magnetic resonance imaging. Brain Imaging and Behavior. 16(4). 1749–1760. 20 indexed citations

Wang, Qiang, et al.. (2022). Highway Tunnel Defect Detection Based on Mobile GPR Scanning. Applied Sciences. 12(6). 3148–3148. 9 indexed citations

10.

Skidmore, Zachary L., Hans Rindt, Shirley Chu, et al.. (2022). 121. Single cell TCR sequencing identifies an enriched V(D)J repertoire in canine melanoma. Cancer Genetics. 268-269. 39–39. 2 indexed citations

11.

Zhou, Mingyi, Jing Wu, Yipeng Liu, Shuaicheng Liu, & Ce Zhu. (2020). DaST: Data-Free Substitute Training for Adversarial Attacks. 231–240. 94 indexed citations

12.

Ali, Liaqat, Ce Zhu, Mingyi Zhou, & Yipeng Liu. (2019). Early diagnosis of Parkinson’s disease from multiple voice recordings by simultaneous sample and feature selection. Expert Systems with Applications. 137. 22–28. 106 indexed citations

13.

Ali, Liaqat, Atiqur Rahman, Irfan Ullah Khan, et al.. (2019). An Automated Diagnostic System for Heart Disease Prediction Based on ${\chi^{2}}$ Statistical Model and Optimally Configured Deep Neural Network. IEEE Access. 7. 34938–34945. 197 indexed citations

14.

Ali, Liaqat, Ce Zhu, Noorbakhsh Amiri Golilarz, et al.. (2019). Reliable Parkinson’s Disease Detection by Analyzing Handwritten Drawings: Construction of an Unbiased Cascaded Learning System Based on Feature Selection and Adaptive Boosting Model. IEEE Access. 7. 116480–116489. 86 indexed citations

15.

Zhou, Mingyi, Yipeng Liu, Zhen Long, Longxi Chen, & Ce Zhu. (2018). Tensor rank learning in CP decomposition via convolutional neural network. Signal Processing Image Communication. 73. 12–21. 42 indexed citations

16.

Zhao, Ning, Hao Luo, Pengwei Liang, & Mingyi Zhou. (2017). The design and implementation of electromagnetic vibration energy acquisition system. Energy Procedia. 136. 34–40. 6 indexed citations

17.

Wang, Hui‐Fang, et al.. (2015). [Relief of urinary retention after radical hysterectomy for cervical cancer patients by acupressure: a randomized controlled trial].. PubMed. 35(4). 425–8. 2 indexed citations

18.

Zhou, Mingyi, María del C. Vila, Elise P. Gómez-Sánchez, & Celso E. Gómez-Sánchez. (1996). Cloning of the rat cytochrome P-450 21-hydroxylase enzyme. Endocrine Research. 22(4). 663–664. 1 indexed citations

19.

Zhou, Mingyi, et al.. (1995). Universal cloning method by TA strategy.. PubMed. 19(1). 34–5. 44 indexed citations

20.

Gómez-Sánchez, Celso E., Eduardo N. Cozza, Mingyi Zhou, et al.. (1994). Modulation of endothelin-1 production by a pulmonary epithelial cell line. Biochemical Pharmacology. 48(11). 2065–2071. 24 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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