Mingyu Gao

717 total citations
32 papers, 485 citations indexed

About

Mingyu Gao is a scholar working on Mechanical Engineering, Electrical and Electronic Engineering and Industrial and Manufacturing Engineering. According to data from OpenAlex, Mingyu Gao has authored 32 papers receiving a total of 485 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Mechanical Engineering, 6 papers in Electrical and Electronic Engineering and 6 papers in Industrial and Manufacturing Engineering. Recurrent topics in Mingyu Gao's work include Industrial Vision Systems and Defect Detection (6 papers), Remote Sensing and LiDAR Applications (5 papers) and Wood and Agarwood Research (4 papers). Mingyu Gao is often cited by papers focused on Industrial Vision Systems and Defect Detection (6 papers), Remote Sensing and LiDAR Applications (5 papers) and Wood and Agarwood Research (4 papers). Mingyu Gao collaborates with scholars based in China, South Korea and United Kingdom. Mingyu Gao's co-authors include Jianfeng Chen, Hongbo Mu, Lijun Cai, Xiangzheng Fu, Dawei Qi, Peng Li, Xiangxiang Zeng, Wenqiang Li, Yuzhen Liu and Peng Song and has published in prestigious journals such as Angewandte Chemie International Edition, Bioinformatics and Journal of Applied Physics.

In The Last Decade

Mingyu Gao

28 papers receiving 475 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Mingyu Gao China 12 124 93 62 61 59 32 485
Yuquan Meng United States 14 194 1.6× 35 0.4× 93 1.5× 105 1.7× 48 0.8× 26 614
Bohao Li China 14 96 0.8× 67 0.7× 178 2.9× 57 0.9× 43 0.7× 42 594
Tianqi Wang China 14 178 1.4× 21 0.2× 74 1.2× 74 1.2× 48 0.8× 55 517
Dehong Wang China 19 152 1.2× 61 0.7× 36 0.6× 89 1.5× 103 1.7× 79 1.5k
Junjie Zhu China 12 61 0.5× 75 0.8× 153 2.5× 110 1.8× 110 1.9× 95 512
Wanli Liu China 11 133 1.1× 34 0.4× 149 2.4× 131 2.1× 56 0.9× 61 436
Rundong Wu China 14 82 0.7× 25 0.3× 164 2.6× 45 0.7× 92 1.6× 33 719
Jin Deng China 11 184 1.5× 21 0.2× 319 5.1× 86 1.4× 152 2.6× 27 830
Xinyao Wang China 13 64 0.5× 36 0.4× 73 1.2× 35 0.6× 61 1.0× 79 538

Countries citing papers authored by Mingyu Gao

Since Specialization
Citations

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

Fields of papers citing papers by Mingyu Gao

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mingyu Gao

This figure shows the co-authorship network connecting the top 25 collaborators of Mingyu Gao. A scholar is included among the top collaborators of Mingyu Gao 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 Mingyu Gao. Mingyu Gao 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.
Yan, Zhiming, Fengjiao Wang, Yikun Liu, et al.. (2025). Effects of CO2 pressure on the dynamic wettability of the kerogen surface: Insights from a molecular perspective. Applied Surface Science. 694. 162822–162822. 13 indexed citations
3.
He, Zhiwei, et al.. (2025). Early life prediction of fast-charging battery based on feature engineering and state space models. Journal of Energy Storage. 127. 116969–116969.
4.
Zhang, Shuhui, et al.. (2025). A Malware-Detection Method Using Deep Learning to Fully Extract API Sequence Features. Electronics. 14(1). 167–167. 3 indexed citations
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Shu, Feng, Muhao Chen, Mingyu Gao, et al.. (2024). Soil microbial community construction under revegetation in newly created land. The Science of The Total Environment. 954. 176496–176496.
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Gao, Mingyu, Jiaxuan Fan, Xintao Li, et al.. (2023). A Carbon‐Negative Hydrogen Production Strategy: CO2 Selective Capture with H2 Production. Angewandte Chemie International Edition. 62(15). e202216527–e202216527. 14 indexed citations
9.
Liang, Zhipeng, et al.. (2023). Analysis and Kinetics Modeling of the Isothermal Oxidation Behavior of Silicide Coatings. Coatings. 13(8). 1464–1464.
10.
Gao, Mingyu, Lulu Mo, Jing Wang, et al.. (2022). Homogeneous electric field and Li+ flux regulation in three-dimensional nanofibrous composite framework for ultra-long-life lithium metal anode. Journal of Colloid and Interface Science. 614. 138–146. 17 indexed citations
11.
Gao, Mingyu, Fei Wang, Peng Song, Junyan Liu, & Dawei Qi. (2021). BLNN: Multiscale Feature Fusion‐Based Bilinear Fine‐Grained Convolutional Neural Network for Image Classification of Wood Knot Defects. Journal of Sensors. 2021(1). 13 indexed citations
12.
Gao, Mingyu, Peng Song, Fei Wang, et al.. (2021). A Novel Deep Convolutional Neural Network Based on ResNet‐18 and Transfer Learning for Detection of Wood Knot Defects. Journal of Sensors. 2021(1). 30 indexed citations
13.
Yang, Hong, et al.. (2021). Fast Preparation of High-Performance Wood Materials Assisted by Ultrasonic and Vacuum Impregnation. Forests. 12(5). 567–567. 23 indexed citations
14.
Gao, Mingyu, et al.. (2021). A Transfer Residual Neural Network Based on ResNet-34 for Detection of Wood Knot Defects. Forests. 12(2). 212–212. 93 indexed citations
15.
Zhang, Boyang, et al.. (2021). A Novel Multi-Scale Attention PFE-UNet for Forest Image Segmentation. Forests. 12(7). 937–937. 7 indexed citations
16.
Cai, Lijun, et al.. (2020). iEnhancer-XG: interpretable sequence-based enhancers and their strength predictor. Bioinformatics. 37(8). 1060–1067. 75 indexed citations
17.
Xu, Shusheng, et al.. (2019). Superior lubrication of dense/porous-coupled nanoscale C/WS2 multilayer coating on ductile substrate. Applied Surface Science. 476. 724–732. 24 indexed citations
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Zhao, Wei, et al.. (2013). Character Recognition Based on Improved BP Neural Network. 100. 754–757. 2 indexed citations
20.
Cao, Yiding, et al.. (2002). Experiments and analyses of flat miniature heat pipes. 2. 1402–1409. 10 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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