Yudong Tao

2.2k total citations · 1 hit paper
50 papers, 1.5k citations indexed

About

Yudong Tao is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Cognitive Neuroscience. According to data from OpenAlex, Yudong Tao has authored 50 papers receiving a total of 1.5k indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Artificial Intelligence, 13 papers in Computer Vision and Pattern Recognition and 5 papers in Cognitive Neuroscience. Recurrent topics in Yudong Tao's work include Anomaly Detection Techniques and Applications (7 papers), Music and Audio Processing (4 papers) and Disaster Management and Resilience (4 papers). Yudong Tao is often cited by papers focused on Anomaly Detection Techniques and Applications (7 papers), Music and Audio Processing (4 papers) and Disaster Management and Resilience (4 papers). Yudong Tao collaborates with scholars based in United States, China and Japan. Yudong Tao's co-authors include Mei‐Ling Shyu, Shu‐Ching Chen, Samira Pouyanfar, Haiman Tian, Saad Sadiq, Yilin Yan, S. S. Iyengar, Maria Presa Reyes, Anup Mohan and Ahmed S. Kaseb and has published in prestigious journals such as Scientific Reports, IEEE Transactions on Geoscience and Remote Sensing and IEEE Transactions on Biomedical Engineering.

In The Last Decade

Yudong Tao

49 papers receiving 1.4k citations

Hit Papers

A Survey on Deep Learning 2018 2026 2020 2023 2018 250 500 750
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. A Survey on Deep Learning
    2018 915 citations Samira Pouyanfar, Saad Sadiq et al. ACM Computing Surveys profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Yudong Tao United States 13 622 385 139 133 111 50 1.5k
Samira Pouyanfar United States 15 778 1.3× 510 1.3× 179 1.3× 119 0.9× 163 1.5× 28 1.8k
Saad Sadiq United States 10 495 0.8× 291 0.8× 123 0.9× 97 0.7× 87 0.8× 16 1.2k
Haiman Tian United States 10 609 1.0× 370 1.0× 134 1.0× 106 0.8× 104 0.9× 21 1.3k
Jaesik Choi South Korea 18 996 1.6× 380 1.0× 187 1.3× 120 0.9× 157 1.4× 87 2.1k
Yilin Yan United States 10 635 1.0× 352 0.9× 129 0.9× 110 0.8× 101 0.9× 23 1.3k
Flavio Villanustre United States 9 711 1.1× 296 0.8× 224 1.6× 192 1.4× 159 1.4× 20 2.0k
Adi Alhudhaif Saudi Arabia 27 630 1.0× 513 1.3× 143 1.0× 222 1.7× 141 1.3× 106 2.0k
Edin Muharemagic United States 5 646 1.0× 349 0.9× 192 1.4× 185 1.4× 160 1.4× 8 1.8k
Jiejun Xu United States 17 773 1.2× 432 1.1× 129 0.9× 102 0.8× 88 0.8× 48 1.6k

Countries citing papers authored by Yudong Tao

Since Specialization
Citations

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

Fields of papers citing papers by Yudong Tao

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yudong Tao

This figure shows the co-authorship network connecting the top 25 collaborators of Yudong Tao. A scholar is included among the top collaborators of Yudong Tao 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 Yudong Tao. Yudong Tao 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.
Chen, Shu‐Ching, et al.. (2024). Enabling Intelligent Immersive Learning using Deep Learning-based Learner Confidence Estimation. 55–60. 1 indexed citations
2.
Jiang, Renhe, Zhaonan Wang, Yudong Tao, et al.. (2023). Learning Social Meta-knowledge for Nowcasting Human Mobility in Disaster. 2655–2665. 14 indexed citations
3.
Tao, Yudong, Chaoming Song, Jue Wang, et al.. (2023). Objective quantification of homophily in children with and without disabilities in naturalistic contexts. Scientific Reports. 13(1). 903–903. 4 indexed citations
4.
Ma, Rui, Lili Hao, Yudong Tao, et al.. (2023). RGC-Net: An Automatic Reconstruction and Quantification Algorithm for Retinal Ganglion Cells Based on Deep Learning. Translational Vision Science & Technology. 12(5). 7–7.
5.
Tao, Yudong, Yinghao Liu, Renhe Jiang, et al.. (2022). A Survey on Data-driven COVID-19 and Future Pandemic Management. ACM Computing Surveys. 55(7). 1–36. 10 indexed citations
6.
Tao, Yudong, et al.. (2022). Florida public hurricane loss model: Software system for insurance loss projection. Software Practice and Experience. 52(7). 1736–1755. 3 indexed citations
7.
Tao, Yudong, et al.. (2022). Multimodal Data Integration and User Interaction for Avatar Simulation in Augmented Reality. RePEc: Research Papers in Economics. 13(1). 1–19. 2 indexed citations
8.
Moffitt, Jacquelyn, Stephanie Custode, Yudong Tao, et al.. (2022). Objective measurement of vocalizations in the assessment of autism spectrum disorder symptoms in preschool age children. Autism Research. 15(9). 1665–1674. 8 indexed citations
9.
Tao, Yudong, et al.. (2021). Deep Learning With Weak Supervision for Disaster Scene Description in Low-Altitude Imagery. IEEE Transactions on Geoscience and Remote Sensing. 60. 1–10. 6 indexed citations
10.
Tao, Yudong, et al.. (2021). Deep reinforcement learning for optimized visual field analysis. Investigative Ophthalmology & Visual Science. 62(8). 1008–1008. 2 indexed citations
11.
Hu, Dongxia, Yudong Tao, Jingui Ma, et al.. (2020). Comparative study on coherent noise in optical parametric and quasi-parametric chirped-pulse amplification. Optics Communications. 464. 125461–125461. 2 indexed citations
12.
Tao, Yudong, Rui Ma, Mei‐Ling Shyu, & Shu‐Ching Chen. (2020). Challenges in Energy-Efficient Deep Neural Network Training with FPGA. 1602–1611. 15 indexed citations
13.
Yan, Yilin, Samira Pouyanfar, Yudong Tao, et al.. (2020). Florida International University - University of Miami Trecvid 2014. 2 indexed citations
14.
Tian, Haiman, Yudong Tao, Samira Pouyanfar, Shu‐Ching Chen, & Mei‐Ling Shyu. (2018). Multimodal deep representation learning for video classification. World Wide Web. 22(3). 1325–1341. 63 indexed citations
15.
Pouyanfar, Samira, Saad Sadiq, Yilin Yan, et al.. (2018). A Survey on Deep Learning. ACM Computing Surveys. 51(5). 1–36. 915 indexed citations breakdown →
16.
Pouyanfar, Samira, Yudong Tao, Haiman Tian, Shu‐Ching Chen, & Mei‐Ling Shyu. (2018). Multimodal deep learning based on multiple correspondence analysis for disaster management. World Wide Web. 22(5). 1893–1911. 39 indexed citations
17.
Pouyanfar, Samira, Yudong Tao, Anup Mohan, et al.. (2018). Dynamic Sampling in Convolutional Neural Networks for Imbalanced Data Classification. 112–117. 110 indexed citations
18.
Tao, Yudong & Jan‐Peter Müller. (2017). Automated Planet-Wide DTM Generation from NASA MRO Data — A Status Report. LPI. 2965. 1 indexed citations
19.
Sadiq, Saad, Yudong Tao, Yilin Yan, & Mei‐Ling Shyu. (2017). Mining Anomalies in Medicare Big Data Using Patient Rule Induction Method. 185–192. 25 indexed citations
20.
Shang, Huiliang, Yudong Tao, Yuan Gao, Chen Zhang, & Yang Liu. (2013). The Circuit Simulation Method Improved by Conjugate Gradient Method for Isomorphic Molecular Graph Identification. Journal of Bionanoscience. 7(4). 440–446. 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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