Mingyang Wu

1.3k total citations · 1 hit paper
38 papers, 931 citations indexed

About

Mingyang Wu is a scholar working on Electrical and Electronic Engineering, Computer Vision and Pattern Recognition and Signal Processing. According to data from OpenAlex, Mingyang Wu has authored 38 papers receiving a total of 931 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Electrical and Electronic Engineering, 7 papers in Computer Vision and Pattern Recognition and 7 papers in Signal Processing. Recurrent topics in Mingyang Wu's work include Ultra-Wideband Communications Technology (6 papers), Blind Source Separation Techniques (5 papers) and Indoor and Outdoor Localization Technologies (5 papers). Mingyang Wu is often cited by papers focused on Ultra-Wideband Communications Technology (6 papers), Blind Source Separation Techniques (5 papers) and Indoor and Outdoor Localization Technologies (5 papers). Mingyang Wu collaborates with scholars based in China, United States and Taiwan. Mingyang Wu's co-authors include Hojjat Adeli, Zhendong Yin, Zhilu Wu, DeLiang Wang, Shi-Nine Yang, Chih‐Yi Chiu, Hsin-Chih Lin, Zhilu Wu, Fan‐Yi Meng and Qing Yang Steve Wu and has published in prestigious journals such as Optics Express, IEEE Access and Biosensors and Bioelectronics.

In The Last Decade

Mingyang Wu

33 papers receiving 870 citations

Hit Papers

Depthwise separable convolution architectures for plant d... 2019 2026 2021 2023 2019 50 100 150 200
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. Depthwise separable convolution architectures for plant disease classification
    2019 238 citations Zhendong Yin, Mingyang Wu et al. Computers and Electronics in Agriculture profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Mingyang Wu China 10 205 181 181 131 112 38 931
Kazi Md. Rokibul Alam Bangladesh 11 62 0.3× 59 0.3× 214 1.2× 191 1.5× 49 0.4× 49 775
Baihai Zhang China 15 81 0.4× 53 0.3× 199 1.1× 81 0.6× 166 1.5× 67 788
Jiangang Lu China 17 19 0.1× 44 0.2× 175 1.0× 75 0.6× 211 1.9× 101 870
Shuteng Niu United States 17 36 0.2× 82 0.5× 450 2.5× 199 1.5× 180 1.6× 35 1.1k
Norman Haas United States 12 37 0.2× 55 0.3× 109 0.6× 294 2.2× 96 0.9× 18 622
Xinjiang Lu China 18 34 0.2× 34 0.2× 262 1.4× 73 0.6× 155 1.4× 96 1.0k
Danilo Pau Italy 15 105 0.5× 112 0.6× 188 1.0× 316 2.4× 206 1.8× 125 844
Azizi Abdullah Malaysia 15 56 0.3× 39 0.2× 199 1.1× 284 2.2× 31 0.3× 67 723

Countries citing papers authored by Mingyang Wu

Since Specialization
Citations

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

Fields of papers citing papers by Mingyang Wu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mingyang Wu

This figure shows the co-authorship network connecting the top 25 collaborators of Mingyang Wu. A scholar is included among the top collaborators of Mingyang Wu 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 Mingyang Wu. Mingyang Wu 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.
Wang, Hengyu, et al.. (2025). CrispHunter-enabled systematic crRNA design and structure-optimized hairpin probes for enhanced CRISPR-Cas12a detection of Burkholderia pseudomallei. Biosensors and Bioelectronics. 289. 117912–117912. 1 indexed citations
3.
4.
Jia-fu, 李加福 LI, et al.. (2025). Reducing tilt errors in chromatic confocal measurement: a peak extraction algorithm based on the pseudo-Voigt function. Optics Express. 33(15). 31368–31368. 1 indexed citations
5.
Dong, Zhe, et al.. (2024). Fusion network for small target detection based on YOLO and attention mechanism. Optoelectronics Letters. 20(6). 372–378. 5 indexed citations
6.
Wu, Mingyang & Zhixia Yang. (2024). Kernel-free Reduced Quadratic Surface Support Vector Machine with 0-1 Loss Function and L$$_p$$-norm Regularization. Annals of Data Science. 12(1). 381–412. 1 indexed citations
7.
Yin, Zhendong, et al.. (2021). Evaluation of deep learning-based approaches for COVID-19 classification based on chest X-ray images. Signal Image and Video Processing. 15(5). 959–966. 70 indexed citations
8.
Yin, Zhendong, et al.. (2021). Wearable Devices Acquired ECG Signals Detection Method Using 1D Convolutional Neural Network. 81–85. 6 indexed citations
9.
Wu, Mingyang, Zhendong Yin, & Zhilu Wu. (2020). NRCS-CE: A Noise-Resistance UWB Channel Estimation Method for WSN and IoT Applications. 1–5. 1 indexed citations
10.
Yin, Zhendong, et al.. (2020). Spectrum Sensing Based on Parallel CNN-LSTM Network. 1–5. 22 indexed citations
11.
12.
Yin, Zhendong, et al.. (2019). IA-OPD: An Optimized Orthogonal Pulse Design Scheme for Waveform Division Multiple Access UWB Systems. IEEE Systems Journal. 13(3). 2386–2395. 9 indexed citations
13.
Ma, Bo, et al.. (2019). GMM‐MUD: An Effective Multiuser Detection Algorithm for DS‐UWB‐Based Space Formation Flying Systems. Mathematical Problems in Engineering. 2019(1).
14.
Zhao, Jingyuan, et al.. (2019). Scalable FPGA-Based Convolutional Neural Network Accelerator for Embedded Systems. 36–40. 3 indexed citations
15.
Yin, Zhendong, et al.. (2019). Transfer Learning for Fine-Grained Crop Disease Classification Based on Leaf Images. 1–5. 19 indexed citations
16.
Yin, Zhendong, et al.. (2019). Depthwise separable convolution architectures for plant disease classification. Computers and Electronics in Agriculture. 165. 104948–104948. 238 indexed citations breakdown →
17.
Yin, Zhendong, Mingyang Wu, Zhutian Yang, Nan Zhao, & Yunfei Chen. (2017). A Joint Multiuser Detection Scheme for UWB Sensor Networks Using Waveform Division Multiple Access. IEEE Access. 5. 11717–11726. 7 indexed citations
18.
Wu, Mingyang & DeLiang Wang. (2006). A Two-Stage Algorithm for Enhancement of Reverberant Speech. 1. 1085–1088. 8 indexed citations
19.
Adeli, Hojjat & Mingyang Wu. (1998). Regularization Neural Network for Construction Cost Estimation. Journal of Construction Engineering and Management. 124(1). 18–24. 212 indexed citations
20.
Wu, Mingyang, et al.. (1997). Imaging by an Optimizing Method. 125. 178.

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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