Yongkui Ma

1.0k total citations
44 papers, 706 citations indexed

About

Yongkui Ma is a scholar working on Computer Networks and Communications, Electrical and Electronic Engineering and Aerospace Engineering. According to data from OpenAlex, Yongkui Ma has authored 44 papers receiving a total of 706 indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Computer Networks and Communications, 15 papers in Electrical and Electronic Engineering and 10 papers in Aerospace Engineering. Recurrent topics in Yongkui Ma's work include Brain Tumor Detection and Classification (8 papers), Advanced MIMO Systems Optimization (8 papers) and Blind Source Separation Techniques (7 papers). Yongkui Ma is often cited by papers focused on Brain Tumor Detection and Classification (8 papers), Advanced MIMO Systems Optimization (8 papers) and Blind Source Separation Techniques (7 papers). Yongkui Ma collaborates with scholars based in China, Pakistan and South Korea. Yongkui Ma's co-authors include Ahsan Bin Tufail, Inam Ullah, Rahim Khan, Xinyu Gao, Zhaocheng Wang, Linglong Dai, Yulong Gao, Honglin Zhao, Xiaoli Li and Hegao Cai and has published in prestigious journals such as IEEE Access, Sensors and IEEE Transactions on Vehicular Technology.

In The Last Decade

Yongkui Ma

42 papers receiving 684 citations

Peers

Yongkui Ma
M. Sultan Zia Pakistan
A. Ahilan India
Fatma Taher United Arab Emirates
Hadeel Alsolai Saudi Arabia
Ahmad O. Aseeri Saudi Arabia
Md Sipon Miah Bangladesh
Javad Rahebi Türkiye
M. Sultan Zia Pakistan
Yongkui Ma
Citations per year, relative to Yongkui Ma Yongkui Ma (= 1×) peers M. Sultan Zia

Countries citing papers authored by Yongkui Ma

Since Specialization
Citations

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

Fields of papers citing papers by Yongkui Ma

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yongkui Ma

This figure shows the co-authorship network connecting the top 25 collaborators of Yongkui Ma. A scholar is included among the top collaborators of Yongkui Ma 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 Yongkui Ma. Yongkui Ma 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.
2.
Rasheed, Zahid, et al.. (2024). Classification of MRI Brain Tumor with Hybrid VGG19 and Ensemble Classifier Approach. 1–7. 1 indexed citations
4.
Wu, Shaochuan, et al.. (2023). Superposition Coding in Cell-Free Massive MIMO with the Coexistence of eMBB and URLLC. 1511–1516. 1 indexed citations
5.
Wu, Shaochuan, et al.. (2023). Pilot Assignment and Power Control for Cell-Free Massive MIMO With HTC/MTC Coexistence. IEEE Internet of Things Journal. 11(4). 7024–7039. 1 indexed citations
6.
Tufail, Ahsan Bin, Inam Ullah, Ateeq Ur Rehman, et al.. (2022). On Disharmony in Batch Normalization and Dropout Methods for Early Categorization of Alzheimer’s Disease. Sustainability. 14(22). 14695–14695. 21 indexed citations
7.
Tufail, Ahsan Bin, Mohamed Tahar Ben Othman, Inam Ullah, et al.. (2022). Early-Stage Alzheimer’s Disease Categorization Using PET Neuroimaging Modality and Convolutional Neural Networks in the 2D and 3D Domains. Sensors. 22(12). 4609–4609. 46 indexed citations
8.
Wu, Shaochuan, et al.. (2022). An AP Selection Strategy Based on Congestion Game for User-Centric Cell-Free Massive MIMO. 2022 IEEE 33rd Annual International Symposium on Personal, Indoor and Mobile Radio Communications (PIMRC). 1099–1104. 1 indexed citations
9.
Khan, Rahim, Qiang Yang, Ahsan Bin Tufail, Alam Noor, & Yongkui Ma. (2021). Classification of Digital Modulated COVID‐19 Images in the Presence of Channel Noise Using 2D Convolutional Neural Networks. Wireless Communications and Mobile Computing. 2021(1). 5 indexed citations
10.
Tufail, Ahsan Bin, Yongkui Ma, Mohammed K. A. Kaabar, et al.. (2021). Deep Learning in Cancer Diagnosis and Prognosis Prediction: A Minireview on Challenges, Recent Trends, and Future Directions. Computational and Mathematical Methods in Medicine. 2021. 1–28. 95 indexed citations
11.
Tufail, Ahsan Bin, Yongkui Ma, Mohammed K. A. Kaabar, et al.. (2021). Classification of Initial Stages of Alzheimer’s Disease through Pet Neuroimaging Modality and Deep Learning: Quantifying the Impact of Image Filtering Approaches. Mathematics. 9(23). 3101–3101. 16 indexed citations
12.
Tufail, Ahsan Bin, Inam Ullah, Wali Ullah Khan, et al.. (2021). Diagnosis of Diabetic Retinopathy through Retinal Fundus Images and 3D Convolutional Neural Networks with Limited Number of Samples. Wireless Communications and Mobile Computing. 2021(1). 44 indexed citations
13.
Tufail, Ahsan Bin, Yongkui Ma, Adil Khan, et al.. (2021). 3D convolutional neural networks-based multiclass classification of Alzheimer’s and Parkinson’s diseases using PET and SPECT neuroimaging modalities. Brain Informatics. 8(1). 23–23. 35 indexed citations
14.
Ma, Yongkui, et al.. (2019). County-level corn yield prediction using deep transfer learning. AGU Fall Meeting Abstracts. 2019. 5 indexed citations
15.
Yang, Yibo, Yongkui Ma, Wei Xiang, Xuemai Gu, & Honglin Zhao. (2018). Joint Optimization of Energy Consumption and Packet Scheduling for Mobile Edge Computing in Cyber-Physical Networks. IEEE Access. 6. 15576–15586. 37 indexed citations
16.
Gao, Yulong, et al.. (2017). Gridless 1-b DOA Estimation Exploiting SVM Approach. IEEE Communications Letters. 21(10). 2210–2213. 47 indexed citations
17.
Lou, Yi, Yongkui Ma, Qi‐Yue Yu, Honglin Zhao, & Wei Xiang. (2016). A Differential ML Combiner for Differential Amplify-and-Forward System in Time-Selective Fading Channels. IEEE Transactions on Vehicular Technology. 65(12). 10157–10163. 4 indexed citations
18.
Ma, Yongkui, et al.. (2013). Urban Operations with the Enhanced Personal Inertial Navigation System Prototype. 551–560. 1 indexed citations
19.
Ma, Yongkui, Zhongzhao Zhang, & Qinyu Zhang. (2003). Simulation for CCSDS advanced orbiting system (AOS) with BONeS designer. 14(1). 92–96. 1 indexed citations
20.
Cheng, Hong, et al.. (1995). Equal Vibrotactile Sense Thresholds of the Fingers and Its Diagnostic Significance for Hand-Arm Vibration Syndrome. American Industrial Hygiene Association Journal. 56(1). 11–15. 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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