Mingfei Gao

2.6k total citations · 2 hit papers
28 papers, 1.2k citations indexed

About

Mingfei Gao is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Electrical and Electronic Engineering. According to data from OpenAlex, Mingfei Gao has authored 28 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Computer Vision and Pattern Recognition, 7 papers in Artificial Intelligence and 6 papers in Electrical and Electronic Engineering. Recurrent topics in Mingfei Gao's work include Multimodal Machine Learning Applications (6 papers), Cognitive Radio Networks and Spectrum Sensing (5 papers) and Human Pose and Action Recognition (5 papers). Mingfei Gao is often cited by papers focused on Multimodal Machine Learning Applications (6 papers), Cognitive Radio Networks and Spectrum Sensing (5 papers) and Human Pose and Action Recognition (5 papers). Mingfei Gao collaborates with scholars based in China, United States and United Kingdom. Mingfei Gao's co-authors include Larry S. Davis, Vlad I. Morariu, Ruichi Yu, Chun-Fu Chen, Xintong Han, Ching‐Yung Lin, Ang Li, Jui-Hsin Lai, Caiming Xiong and Mingze Xu and has published in prestigious journals such as Energy, Journal of Energy Storage and Journal of Microscopy.

In The Last Decade

Mingfei Gao

28 papers receiving 1.2k citations

Hit Papers

NISP: Pruning Networks Using Neuron Importance Score Prop... 2018 2026 2020 2023 2018 2023 100 200 300 400
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. NISP: Pruning Networks Using Neuron Importance Score Propagation
    2018 470 citations Ruichi Yu, Ang Li et al. profile →
  2. ULIP: Learning a Unified Representation of Language, Images, and Point Clouds for 3D Understanding
    2023 94 citations Mingfei Gao, Caiming Xiong et al. profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Mingfei Gao China 16 786 539 141 71 69 28 1.2k
Guangrun Wang China 21 1.2k 1.5× 441 0.8× 105 0.7× 42 0.6× 66 1.0× 42 1.8k
Yiming Wu China 12 743 0.9× 574 1.1× 179 1.3× 25 0.4× 70 1.0× 27 1.2k
Tiberiu Cocias Romania 4 391 0.5× 421 0.8× 149 1.1× 22 0.3× 56 0.8× 7 1.1k
Wentao Liu China 18 438 0.6× 180 0.3× 116 0.8× 78 1.1× 60 0.9× 92 1.0k
Bogdan Trăsnea Romania 4 378 0.5× 419 0.8× 147 1.0× 20 0.3× 57 0.8× 6 1.1k
Gigel Măceșanu Romania 5 394 0.5× 421 0.8× 149 1.1× 20 0.3× 57 0.8× 8 1.1k
Zunlei Feng China 14 762 1.0× 281 0.5× 40 0.3× 67 0.9× 18 0.3× 83 1.3k
Songcen Xu China 17 541 0.7× 200 0.4× 132 0.9× 230 3.2× 71 1.0× 52 1.0k
Yaqin Zhao China 20 270 0.3× 181 0.3× 288 2.0× 52 0.7× 131 1.9× 93 1.0k
Lingfeng Yang China 13 328 0.4× 155 0.3× 45 0.3× 140 2.0× 83 1.2× 32 801

Countries citing papers authored by Mingfei Gao

Since Specialization
Citations

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

Fields of papers citing papers by Mingfei Gao

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mingfei Gao

This figure shows the co-authorship network connecting the top 25 collaborators of Mingfei Gao. A scholar is included among the top collaborators of Mingfei 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 Mingfei Gao. Mingfei 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.
He, Qingfang, et al.. (2024). Association between glycated hemoglobin and risk of all‐cause mortality in community patients with type 2 diabetes: A prospective cohort study. Journal of Diabetes Investigation. 15(7). 939–945. 2 indexed citations
3.
Gao, Mingfei, et al.. (2023). Optimal planning method of multi-energy storage systems based on the power response analysis in the integrated energy system. Journal of Energy Storage. 73. 109015–109015. 20 indexed citations
4.
Gao, Mingfei, et al.. (2023). Optimal configuration for regional integrated energy systems with multi-element hybrid energy storage. Energy. 277. 127672–127672. 40 indexed citations
5.
Li, Zao, et al.. (2023). Research on the Spatial Sequence of Building Facades in Huizhou Regional Traditional Villages. Buildings. 13(1). 174–174. 18 indexed citations
6.
He, Canxia, et al.. (2022). The Protective Effect of Sulforaphane on Dextran Sulfate Sodium-Induced Colitis Depends on Gut Microbial and Nrf2-Related Mechanism. Frontiers in Nutrition. 9. 893344–893344. 24 indexed citations
7.
Gao, Mingfei, Yingbo Zhou, Ran Xu, Richard Socher, & Caiming Xiong. (2021). WOAD: Weakly Supervised Online Action Detection in Untrimmed Videos. 1915–1923. 28 indexed citations
8.
Yang, Luyu, Yan Wang, Mingfei Gao, et al.. (2021). Deep Co-Training with Task Decomposition for Semi-Supervised Domain Adaptation. 2021 IEEE/CVF International Conference on Computer Vision (ICCV). 8886–8896. 50 indexed citations
9.
Ma, Boyuan, Xiaojuan Ban, Haiyou Huang, et al.. (2020). Data augmentation in microscopic images for material data mining. npj Computational Materials. 6(1). 92 indexed citations
10.
Ma, Boyuan, Bin Ma, Mingfei Gao, et al.. (2020). Deep learning‐based automatic inpainting for material microscopic images. Journal of Microscopy. 281(3). 177–189. 21 indexed citations
11.
Gao, Mingfei, Mingze Xu, Larry S. Davis, Richard Socher, & Caiming Xiong. (2019). StartNet: Online Detection of Action Start in Untrimmed Videos. 5541–5550. 23 indexed citations
12.
Gao, Mingfei, Larry S. Davis, Richard Socher, & Caiming Xiong. (2019). WSLLN:Weakly Supervised Natural Language Localization Networks. 1481–1487. 45 indexed citations
13.
Gao, Mingfei, Ashish Tawari, & Sujitha Martin. (2019). Goal-oriented Object Importance Estimation in On-road Driving Videos. 20 indexed citations
14.
Xu, Mingze, Mingfei Gao, Yi-Ting Chen, Larry S. Davis, & David Crandall. (2019). Temporal Recurrent Networks for Online Action Detection. 5531–5540. 95 indexed citations
15.
Yu, Ruichi, Ang Li, Chun-Fu Chen, et al.. (2018). NISP: Pruning Networks Using Neuron Importance Score Propagation. 9194–9203. 470 indexed citations breakdown →
16.
Ming, Anlong, et al.. (2015). Learning discriminative occlusion feature for depth ordering inference on monocular image. 3. 2525–2529. 4 indexed citations
17.
Zhu, Ying, Ishtiaq Ahmad, Mingfei Gao, et al.. (2014). Full-Duplex Spectrum Sensing Scheme Based on Phase Difference. 1–5. 5 indexed citations
18.
Gao, Mingfei, et al.. (2014). Fast Spectrum Sensing: A Combination of Channel Correlation and Markov Model. 405–410. 3 indexed citations
19.
Gao, Mingfei, Xiao Yan, Ying Zhu, et al.. (2013). Channel Correlation Assisted Fast Spectrum Sensing. 1–5. 2 indexed citations
20.
Gao, Mingfei & Qiongxiang Huang. (2007). On generalized θ-graphs whose second largest eigenvalue does not exceed 1. Discrete Mathematics. 308(23). 5849–5855. 8 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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