Ming Shao

510 total citations · 1 hit paper
7 papers, 323 citations indexed

About

Ming Shao is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Human-Computer Interaction. According to data from OpenAlex, Ming Shao has authored 7 papers receiving a total of 323 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Computer Vision and Pattern Recognition, 3 papers in Artificial Intelligence and 2 papers in Human-Computer Interaction. Recurrent topics in Ming Shao's work include Human Pose and Action Recognition (6 papers), Anomaly Detection Techniques and Applications (3 papers) and Video Surveillance and Tracking Methods (3 papers). Ming Shao is often cited by papers focused on Human Pose and Action Recognition (6 papers), Anomaly Detection Techniques and Applications (3 papers) and Video Surveillance and Tracking Methods (3 papers). Ming Shao collaborates with scholars based in United States, China and Mexico. Ming Shao's co-authors include M. G. K. Jones, Tim K. Marks, Bharat Singh, Oncel Tuzel, Yun Fu, Chengcheng Jia, Guotai Wang, Kang Li, Guang J. Zhang and Siyu Xia and has published in prestigious journals such as IEEE Transactions on Image Processing, Image and Vision Computing and IEEE Transactions on Human-Machine Systems.

In The Last Decade

Ming Shao

6 papers receiving 318 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.

A Multi-stream Bi-directional Recurrent Neural Network for Fine-Grained Action Detection

2016 281 citations Bharat Singh, Tim K. Marks et al. profile →

Peers

Ming Shao

CVPR

AI

BE

HI

CSE

Toby Perrett United Kingdom

Aouaidjia Kamel China

Carlos Orrite Spain

Bingbing Ni China

Min-Hung Chen United States

S.L. Dockstader United States

Evgeny Levinkov Germany

Davide Moltisanti Italy

Jogendra Nath Kundu India

Harshala Gammulle Australia

Toby Perrett United Kingdom

Ming Shao

306 ×1.1

CVPR

163 ×1.2

AI

36 ×0.8

BE

30 ×1.1

HI

24 ×1.2

CSE

Citations per year, relative to Ming Shao Ming Shao (= 1×) peers Toby Perrett

Countries citing papers authored by Ming Shao

Since Specialization

Citations

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

Fields of papers citing papers by Ming Shao

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ming Shao

This figure shows the co-authorship network connecting the top 25 collaborators of Ming Shao. A scholar is included among the top collaborators of Ming Shao 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 Ming Shao. Ming Shao 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:

7 of 7 papers shown

1.

Zou, Junjie, Ming Shao, & Siyu Xia. (2023). Graphrpe: Relative Position Encoding Graph Transformer for 3d Human Pose Estimation. 895–899.

2.

Wang, Guotai, et al.. (2022). Multiview Video-Based 3-D Pose Estimation of Patients in Computer-Assisted Rehabilitation Environment (CAREN). IEEE Transactions on Human-Machine Systems. 52(2). 196–206. 14 indexed citations

3.

Shao, Ming, et al.. (2021). Collaborative knowledge distillation for incomplete multi-view action prediction. Image and Vision Computing. 107. 104111–104111. 6 indexed citations

4.

Singh, Bharat, Tim K. Marks, M. G. K. Jones, Oncel Tuzel, & Ming Shao. (2016). A Multi-stream Bi-directional Recurrent Neural Network for Fine-Grained Action Detection. 1961–1970. 281 indexed citations breakdown →

5.

Jia, Chengcheng, Ming Shao, & Yun Fu. (2016). Sparse Canonical Temporal Alignment With Deep Tensor Decomposition for Action Recognition. IEEE Transactions on Image Processing. 26(2). 738–750. 20 indexed citations

6.

Shao, Ming, et al.. (2014). A New Technique to Improve Estimation of Position for Serial Robots. Applied Mechanics and Materials. 511-512. 817–821. 1 indexed citations

7.

Shao, Ming, Liangyue Li, & Yun Fu. (2013). Predicting professions through probabilistic model under social context. National Conference on Artificial Intelligence. 122–124. 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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