Shuai Wang

3.3k total citations · 1 hit paper
140 papers, 2.1k citations indexed

About

Shuai Wang is a scholar working on Computer Vision and Pattern Recognition, Radiology, Nuclear Medicine and Imaging and Artificial Intelligence. According to data from OpenAlex, Shuai Wang has authored 140 papers receiving a total of 2.1k indexed citations (citations by other indexed papers that have themselves been cited), including 73 papers in Computer Vision and Pattern Recognition, 24 papers in Radiology, Nuclear Medicine and Imaging and 23 papers in Artificial Intelligence. Recurrent topics in Shuai Wang's work include Video Surveillance and Tracking Methods (22 papers), Advanced Neural Network Applications (17 papers) and Advanced Image and Video Retrieval Techniques (16 papers). Shuai Wang is often cited by papers focused on Video Surveillance and Tracking Methods (22 papers), Advanced Neural Network Applications (17 papers) and Advanced Image and Video Retrieval Techniques (16 papers). Shuai Wang collaborates with scholars based in China, United States and South Korea. Shuai Wang's co-authors include Shuai Liu, Dinggang Shen, Xinyu Liu, Khan Muhammad, Huirong Xu, Zhipeng Wang, Liangqiong Qu, Yang Cong, Chin‐Teng Lin and Zhihan Lv and has published in prestigious journals such as Nature Communications, Journal of Neuroscience and SHILAP Revista de lepidopterología.

In The Last Decade

Shuai Wang

119 papers receiving 2.1k 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.

Apple stem/calyx real-time recognition using YOLO-v5 algorithm for fruit automatic loading system

2021 176 citations Shuai Wang et al. profile →

Peers

Shuai Wang

CVPR

AI

RNMI

BE

IS

Saad Albawi Iraq

Fayadh Alenezi Saudi Arabia

Saad Al-Azawi Iraq

Soumya Ranjan Nayak India

Muhammad Sharif Pakistan

Sheifali Gupta India

Adi Alhudhaif Saudi Arabia

Wei Fan China

Mudassar Raza Pakistan

Naoufel Werghi United Arab Emirates

Saad Albawi Iraq

Shuai Wang

727 ×1.0

CVPR

753 ×1.1

AI

273 ×0.6

RNMI

195 ×0.8

BE

151 ×0.9

IS

Citations per year, relative to Shuai Wang Shuai Wang (= 1×) peers Saad Albawi

Countries citing papers authored by Shuai Wang

Since Specialization

Citations

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

Fields of papers citing papers by Shuai Wang

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Shuai Wang

This figure shows the co-authorship network connecting the top 25 collaborators of Shuai Wang. A scholar is included among the top collaborators of Shuai Wang 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 Shuai Wang. Shuai Wang 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.

Jiang, Zainan, et al.. (2025). Weakly supervised object localization via foreground generation with foreground–background constraints. Expert Systems with Applications. 269. 126273–126273.

2.

Wang, Jianzhou, et al.. (2025). Using explainable deep learning to improve decision quality: Evidence from carbon trading market. Omega. 133. 103281–103281. 1 indexed citations

3.

Wang, Shuai, et al.. (2025). ASDNet: An Efficient Self-Supervised Convolutional Network for Anomalous Sound Detection. Applied Sciences. 15(2). 584–584.

4.

Wang, Shuai, et al.. (2025). Enhancing Large Vision Model in Street Scene Semantic Understanding through Leveraging Posterior Optimization Trajectory. 2432–2439. 1 indexed citations

5.

Huang, Guojing, Zixuan Chen, Yanqiu Bi, et al.. (2024). A comprehensive evaluation of crumb rubber modified asphalt-aggregate interfacial behavior and the effect of water: Molecular dynamics simulation and experimental investigation. Fuel. 377. 132824–132824. 10 indexed citations

6.

Chen, Zixuan, Guojing Huang, Shuai Wang, et al.. (2024). Variation of SARA fractions of crumb rubber modified asphalt binder-aggregate interface system and its correlation with adhesion properties. Construction and Building Materials. 435. 136902–136902. 17 indexed citations

7.

Huang, Guojing, et al.. (2024). Investigation of fracture failure and water damage behavior of asphalt mixtures and their correlation with asphalt-aggregate bonding performance. Construction and Building Materials. 449. 138352–138352. 13 indexed citations

8.

Wang, Shuai. (2024). What Is the True Purpose of Education? A Critical Exploration via the Lens of Social Class. Open Journal of Social Sciences. 12(3). 226–238.

9.

Wang, Shuai, et al.. (2024). A Novel Multi-Modal Population-Graph Based Framework for Patients of Esophageal Squamous Cell Cancer Prognostic Risk Prediction. IEEE Journal of Biomedical and Health Informatics. 29(5). 3206–3219. 1 indexed citations

10.

Li, Liang, et al.. (2024). Stochastic Context Consistency Reasoning for Domain Adaptive Object Detection. 1331–1340. 2 indexed citations

11.

Zhao, Zhidong, Yefei Zhang, Yanjun Deng, et al.. (2024). Filling of Fetal Heart Rate Signal: Diffusion Model Based on Dimension Construction and Period Segmentation. IEEE Transactions on Consumer Electronics. 70(3). 5453–5460. 2 indexed citations

12.

Wang, Shuai, et al.. (2024). Superpixel-based Efficient Sampling for Learning Neural Fields from Large Input. 10421–10430.

13.

Zhou, Xiaofei, et al.. (2024). GINet:Graph interactive network with semantic-guided spatial refinement for salient object detection in optical remote sensing images. Journal of Visual Communication and Image Representation. 104. 104257–104257.

14.

Wang, Shuai, et al.. (2023). Energy Sorghum Removal of Soil Cadmium in Chinese Subtropical Farmland: Effects of Variety and Cropping System. Agronomy. 13(10). 2487–2487. 4 indexed citations

15.

Zheng, Xiaolong, et al.. (2023). All-day Image Alignment for PTZ Surveillance Based on Correlated Siamese Neural Network. Signal Image and Video Processing. 18(1). 615–624.

16.

Huang, Yunzhi, Sahar Ahmad, Luyi Han, et al.. (2023). Longitudinal prediction of postnatal brain magnetic resonance images via a metamorphic generative adversarial network. Pattern Recognition. 143. 109715–109715. 1 indexed citations

17.

Liu, Shuai, et al.. (2023). Visual tracking in complex scenes: A location fusion mechanism based on the combination of multiple visual cognition flows. Information Fusion. 96. 281–296. 52 indexed citations

18.

Zhou, Xiaofei, et al.. (2023). MFFNet: Multi-Modal Feature Fusion Network for V-D-T Salient Object Detection. IEEE Transactions on Multimedia. 26. 2069–2081. 25 indexed citations

19.

Wang, Shuai, Yang Cong, Hancan Zhu, et al.. (2020). Multi-Scale Context-Guided Deep Network for Automated Lesion Segmentation With Endoscopy Images of Gastrointestinal Tract. IEEE Journal of Biomedical and Health Informatics. 25(2). 514–525. 95 indexed citations

20.

Xiang, Xuezhi, et al.. (2018). Engineering Vehicles Detection Based on Modified Faster R-CNN for Power Grid Surveillance. Sensors. 18(7). 2258–2258. 36 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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