Mingyu Gao

2.1k total citations · 2 hit papers
70 papers, 1.3k citations indexed

About

Mingyu Gao is a scholar working on Electrical and Electronic Engineering, Automotive Engineering and Control and Systems Engineering. According to data from OpenAlex, Mingyu Gao has authored 70 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 35 papers in Electrical and Electronic Engineering, 27 papers in Automotive Engineering and 23 papers in Control and Systems Engineering. Recurrent topics in Mingyu Gao's work include Advanced Battery Technologies Research (26 papers), Fault Detection and Control Systems (12 papers) and Advancements in Battery Materials (12 papers). Mingyu Gao is often cited by papers focused on Advanced Battery Technologies Research (26 papers), Fault Detection and Control Systems (12 papers) and Advancements in Battery Materials (12 papers). Mingyu Gao collaborates with scholars based in China, United States and Hong Kong. Mingyu Gao's co-authors include Zhiwei He, Xuan Yang, Jing Pu, Mark Horowitz, Christos Kozyrakis, Zhekang Dong, Junfan Wang, Yi Chen, Yuxiang Yang and Huipin Lin and has published in prestigious journals such as Journal of Biological Chemistry, Journal of Power Sources and Journal of Hazardous Materials.

In The Last Decade

Mingyu Gao

63 papers receiving 1.3k citations

Hit Papers

align trajectories

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.

TETRIS

2017 300 citations Mingyu Gao, Jing Pu et al. profile →
Improved YOLOv5 network for real-time multi-scale traffic sign detection

2022 217 citations Mingyu Gao et al. profile →

Peers

Mingyu Gao

EEE

AE

CVPR

AI

CSE

Dongchul Kim South Korea

Konrad Doll Germany

David Stavens United States

Johannes Betz Germany

Chunsheng Liu China

Ciarán Hughes Ireland

Hyunchul Shin South Korea

Dongsoo Har South Korea

Youren Wang China

Oliver Pink Germany

Dongchul Kim South Korea

Mingyu Gao

326 ×0.5

EEE

494 ×1.1

AE

313 ×0.7

CVPR

81 ×0.5

AI

193 ×1.2

CSE

Citations per year, relative to Mingyu Gao Mingyu Gao (= 1×) peers Dongchul Kim

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

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

1.

Wang, Jinhui, Junyi Wang, Mingyu Gao, et al.. (2025). DMVFC: Deep Learning Based Functionally Consistent Tractography Fiber Clustering Using Multimodal Diffusion MRI and Functional MRI. IEEE Journal of Selected Topics in Signal Processing. 19(8). 1920–1929.

2.

Tang, Tao, Chaotang Lei, Lu Lv, et al.. (2025). Systematic assessments of ecological and health risks of soil pesticide residues. Environmental Pollution. 375. 126348–126348. 2 indexed citations

3.

Gao, Mingyu, Liang Huo, Wang Fei, et al.. (2025). CNN-Based Similar Microwave Reflection Signals for Improved Detectability and Intelligent Characterization of Internal Defects in Composite Materials. Journal of Nondestructive Evaluation. 44(1). 1 indexed citations

4.

Song, Peng, Mingyu Gao, Zhipeng Liang, et al.. (2024). Simulations and experimental study on imaging of thick defect in reusable thermal protective system using microwave NDT. Measurement. 233. 114713–114713. 3 indexed citations

5.

Lu, Tao, Chaotang Lei, Mingyu Gao, et al.. (2024). A risk entropy approach for linking pesticides and soil bacterial communities. Journal of Hazardous Materials. 469. 133970–133970. 14 indexed citations

6.

Wang, Yiqi, Zhen He, Zihan Wu, et al.. (2024). ETCIM: An Error-Tolerant Digital-CIM Processor with Redundancy-Free Repair and Run-Time MAC and Cell Error Correction. Rare & Special e-Zone (The Hong Kong University of Science and Technology). 1–2. 2 indexed citations

7.

Gao, Mingyu, et al.. (2024). Hydrocarbon Transportation in Heterogeneous Shale Pores by Molecular Dynamic Simulation. Molecules. 29(8). 1763–1763. 4 indexed citations

8.

Zhao, Yilong, Mingyu Gao, Fangxin Liu, et al.. (2024). UM-PIM: DRAM-based PIM with Uniform & Shared Memory Space. 644–659. 4 indexed citations

9.

Li, Xiang, et al.. (2024). Bulkor: Enabling Bulk Loading for Path ORAM. 4258–4276. 2 indexed citations

10.

Gao, Mingyu, et al.. (2023). Convolution Neural Network Fusion Lock-In Thermography: A Debonding Defect Intelligent Determination Approach for Aviation Honeycomb Sandwich Composites (HSCs). Metals. 13(5). 881–881. 5 indexed citations

11.

Gao, Yulong, Mingyu Gao, Fei Wang, et al.. (2023). Convolution neural network fusion high power halogen lamp induced thermal-wave diffusion multidimensional features: An intelligent defect identification approach for aviation honeycomb sandwich composites. Infrared Physics & Technology. 133. 104772–104772. 10 indexed citations

12.

Liu, Yi, Wei Yin, Mingyu Gao, et al.. (2023). TBK1-stabilized ZNF268a recruits SETD4 to methylate TBK1 for efficient interferon signaling. Journal of Biological Chemistry. 299(12). 105428–105428. 1 indexed citations

13.

Gao, Mingyu, et al.. (2023). Trajectory Prediction for Surrounding Traffic Participants via Local Perception and Attentive Map Encoding. 31. 1–6. 1 indexed citations

14.

Yang, Xuan, Mingyu Gao, Qiaoyi Liu, et al.. (2020). Interstellar. arXiv (Cornell University). 28 indexed citations

15.

Jin, Guoqing, et al.. (2019). Helmet Detection Based On Improved YOLO V3 Deep Model. 363–368. 75 indexed citations

16.

Lu, Jian, et al.. (2018). Design of metal detecting system based on HMC1001 magnetic sensor. 1703–1708. 3 indexed citations

17.

Gao, Mingyu, et al.. (2014). FPGA-based implementation of circular interpolation. Journal of chemical and pharmaceutical research. 6(7). 1 indexed citations

18.

Gao, Mingyu, Yuanyuan Liu, & Zhiwei He. (2011). Battery state of charge online estimation based on particle filter. 2233–2236. 43 indexed citations

19.

Zhang, Hongfei & Mingyu Gao. (2011). Analysis of U-Boot booting process and the realization of command menu. 2894–2896.

20.

Gao, Mingyu. (2006). Application of Low-voltage Power Line Communication in a City Street Lamp Long-distance Intelligent Monitoring System. Telecommunication Engineering. 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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