Shuo Cheng

1.3k total citations
17 papers, 820 citations indexed

About

Shuo Cheng is a scholar working on Computer Vision and Pattern Recognition, Computational Theory and Mathematics and Management Science and Operations Research. According to data from OpenAlex, Shuo Cheng has authored 17 papers receiving a total of 820 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Computer Vision and Pattern Recognition, 5 papers in Computational Theory and Mathematics and 5 papers in Management Science and Operations Research. Recurrent topics in Shuo Cheng's work include Human Pose and Action Recognition (5 papers), Advanced Multi-Objective Optimization Algorithms (4 papers) and Advanced Vision and Imaging (3 papers). Shuo Cheng is often cited by papers focused on Human Pose and Action Recognition (5 papers), Advanced Multi-Objective Optimization Algorithms (4 papers) and Advanced Vision and Imaging (3 papers). Shuo Cheng collaborates with scholars based in China, United States and Indonesia. Shuo Cheng's co-authors include Bingbing Ni, Yichao Yan, Jianguo Hu, Jinxian Liu, Peng Zhou, Hao Su, Shilin Zhu, Ravi Ramamoorthi, Zexiang Xu and Zhuwen Li and has published in prestigious journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, IEEE Transactions on Multimedia and Journal of Mechanical Design.

In The Last Decade

Shuo Cheng

16 papers receiving 807 citations

Peers

Shuo Cheng
Hedi Tabia France
Ranga Rodrigo Sri Lanka
Frederick M. Waltz United States
Shuo Cheng
Citations per year, relative to Shuo Cheng Shuo Cheng (= 1×) peers Shumin Fei

Countries citing papers authored by Shuo Cheng

Since Specialization
Citations

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

Fields of papers citing papers by Shuo Cheng

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Shuo Cheng

This figure shows the co-authorship network connecting the top 25 collaborators of Shuo Cheng. A scholar is included among the top collaborators of Shuo Cheng 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 Shuo Cheng. Shuo Cheng is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

17 of 17 papers shown
1.
Cheng, Shuo, et al.. (2024). Coarse-to-Fine Detection of Multiple Seams for Robotic Welding. 7138–7144.
2.
Cheng, Shuo, Zexiang Xu, Shilin Zhu, et al.. (2020). Deep Stereo Using Adaptive Thin Volume Representation With Uncertainty Awareness. 2521–2531. 226 indexed citations
3.
Kusupati, Uday, Shuo Cheng, Rui Chen, & Hao Su. (2020). Normal Assisted Stereo Depth Estimation. 2186–2196. 55 indexed citations
4.
Ni, Bingbing, Minsi Wang, Zefan Li, et al.. (2019). Deep Progressive Hashing for Image Retrieval. IEEE Transactions on Multimedia. 21(12). 3178–3193. 23 indexed citations
5.
Yan, Yichao, Bingbing Ni, Jian Zhang, et al.. (2019). Fine-Grained Video Captioning via Graph-based Multi-Granularity Interaction Learning. IEEE Transactions on Pattern Analysis and Machine Intelligence. 44(2). 666–683. 15 indexed citations
6.
Cheng, Shuo & Guohui Zhou. (2019). Facial Expression Recognition Method Based on Improved VGG Convolutional Neural Network. International Journal of Pattern Recognition and Artificial Intelligence. 34(7). 2056003–2056003. 44 indexed citations
7.
Liu, Jinxian, Bingbing Ni, Yichao Yan, et al.. (2018). Pose Transferrable Person Re-identification. 4099–4108. 294 indexed citations
8.
Cheng, Shuo, et al.. (2018). Fine-Grained Video Captioning for Sports Narrative. 6006–6015. 38 indexed citations
9.
Xu, Jingwei, Bingbing Ni, Zefan Li, Shuo Cheng, & Xiaokang Yang. (2018). Structure Preserving Video Prediction. 27 indexed citations
10.
Li, Jie, Ting Ma, Xiaorong Zhou, et al.. (2017). A real-time human motion recognition system using topic model and SVM. 3. 173–176. 1 indexed citations
11.
Chen, Yang, Shuo Cheng, Tong Wang, & Ting Ma. (2017). Novel blood pressure estimation method using single photoplethysmography feature. PubMed. 2017. 1712–1715. 13 indexed citations
12.
Cheng, Shuo, Zhou Jian-hua, & Mian Li. (2014). A New Hybrid Algorithm for Multi-Objective Robust Optimization With Interval Uncertainty. Journal of Mechanical Design. 137(2). 29 indexed citations
13.
Cheng, Shuo & Mian Li. (2014). Robust optimization using hybrid differential evolution and sequential quadratic programming. Engineering Optimization. 47(1). 87–106. 18 indexed citations
14.
Yuan, Ming, et al.. (2014). Project Decision-Making for Conceptual Design Based on Rough Set. Key engineering materials. 620. 402–410. 1 indexed citations
16.
Jian-hua, Zhou, Shuo Cheng, & Mian Li. (2012). Sequential Quadratic Programming for Robust Optimization With Interval Uncertainty. Journal of Mechanical Design. 134(10). 34 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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