Yueqing Wang

1.2k total citations
58 papers, 875 citations indexed

About

Yueqing Wang is a scholar working on Computer Vision and Pattern Recognition, Computational Mechanics and Artificial Intelligence. According to data from OpenAlex, Yueqing Wang has authored 58 papers receiving a total of 875 indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Computer Vision and Pattern Recognition, 17 papers in Computational Mechanics and 14 papers in Artificial Intelligence. Recurrent topics in Yueqing Wang's work include Fluid Dynamics and Turbulent Flows (13 papers), Model Reduction and Neural Networks (10 papers) and Generative Adversarial Networks and Image Synthesis (6 papers). Yueqing Wang is often cited by papers focused on Fluid Dynamics and Turbulent Flows (13 papers), Model Reduction and Neural Networks (10 papers) and Generative Adversarial Networks and Image Synthesis (6 papers). Yueqing Wang collaborates with scholars based in China and Italy. Yueqing Wang's co-authors include Yong Dou, Xinwang Liu, Liang Deng, Hong-Ke Du, Fang Wang, Yuanwu Lei, Kai Xu, En Zhu, Sihang Zhou and Jie Liu and has published in prestigious journals such as SHILAP Revista de lepidopterología, Expert Systems with Applications and Pattern Recognition.

In The Last Decade

Yueqing Wang

52 papers receiving 847 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Yueqing Wang China 16 280 243 165 102 101 58 875
Feiyun Zhu China 13 543 1.9× 381 1.6× 118 0.7× 75 0.7× 163 1.6× 21 1.4k
Alexander Ilin Finland 18 531 1.9× 390 1.6× 79 0.5× 61 0.6× 80 0.8× 53 1.3k
Naiyang Guan China 15 283 1.0× 772 3.2× 219 1.3× 45 0.4× 112 1.1× 51 1.2k
Jianhua Z. Huang United States 18 378 1.4× 79 0.3× 76 0.5× 32 0.3× 247 2.4× 39 1.4k
Debashis Paul United States 15 377 1.3× 115 0.5× 159 1.0× 26 0.3× 280 2.8× 42 1.7k
Béatrice Laurent France 15 264 0.9× 68 0.3× 169 1.0× 61 0.6× 138 1.4× 48 1.1k
Uwe Naumann Germany 19 134 0.5× 46 0.2× 226 1.4× 84 0.8× 73 0.7× 81 1.3k
Mark Schmidt Canada 14 537 1.9× 351 1.4× 144 0.9× 30 0.3× 72 0.7× 37 1.0k
John Goutsias United States 23 228 0.8× 873 3.6× 55 0.3× 56 0.5× 530 5.2× 87 1.9k
Liming Yang China 20 416 1.5× 437 1.8× 188 1.1× 18 0.2× 62 0.6× 104 1.3k

Countries citing papers authored by Yueqing Wang

Since Specialization
Citations

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

Fields of papers citing papers by Yueqing Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yueqing Wang

This figure shows the co-authorship network connecting the top 25 collaborators of Yueqing Wang. A scholar is included among the top collaborators of Yueqing 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 Yueqing Wang. Yueqing Wang 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.
Wang, Yueqing, et al.. (2025). Transcriptomics, antioxidant enzyme activities, and immune-associated parameter analysis reveal the molecular responses of rainbow trout (Oncorhynchus mykiss) to transportation stress. Comparative Biochemistry and Physiology Part D Genomics and Proteomics. 55. 101455–101455. 2 indexed citations
3.
Wang, Yueqing, et al.. (2025). Aerodynamic Coefficients Prediction via Cross-Attention Fusion and Physical-Informed Training. Proceedings of the AAAI Conference on Artificial Intelligence. 39(1). 869–876.
4.
Du, Lida, Cheng Fang, Yueqing Wang, et al.. (2025). MMP-9 inhibitor SB-3CT improves neurological outcomes in ischemic stroke mice by modulation of astrocytic lipid metabolism. Acta Pharmacologica Sinica. 46(8). 2120–2135. 4 indexed citations
5.
Deng, Liang, et al.. (2024). A generative adversarial network based on an efficient transformer for high-fidelity flow field reconstruction. Physics of Fluids. 36(7). 1 indexed citations
6.
Zhang, Peng, et al.. (2024). CcDPM: A Continuous Conditional Diffusion Probabilistic Model for Inverse Design. Proceedings of the AAAI Conference on Artificial Intelligence. 38(15). 17033–17041. 6 indexed citations
7.
Wang, Wenyong, et al.. (2024). Novel deep learning methods for 3D flow field segmentation and classification. Expert Systems with Applications. 251. 124080–124080.
8.
Zhang, Peng, et al.. (2024). A residual graph convolutional network for setting initial flow field in computational fluid dynamics simulations. Physics of Fluids. 36(3). 3 indexed citations
9.
Dai, Zhe, et al.. (2023). Evaluating performance portability of five shared-memory programming models using a high-order unstructured CFD solver. Journal of Parallel and Distributed Computing. 187. 104831–104831. 1 indexed citations
10.
Zhao, Qiang, Ke Jiang, Xiaoyan Yu, et al.. (2023). Uncovering potential diagnostic biomarkers of acute myocardial infarction based on machine learning and analyzing its relationship with immune cells. BMC Cardiovascular Disorders. 23(1). 2–2. 7 indexed citations
11.
Chang, Wei, et al.. (2023). PDI-HFP: An intelligent method for heat flux prediction on hypersonic aircraft based on projection depth images. Engineering Applications of Artificial Intelligence. 127. 107366–107366. 3 indexed citations
12.
13.
Deng, Liang, Jianqiang Chen, Yueqing Wang, et al.. (2022). MVU-Net: a multi-view U-Net architecture for weakly supervised vortex detection. Engineering Applications of Computational Fluid Mechanics. 16(1). 1567–1586. 5 indexed citations
14.
Deng, Liang, Yueqing Wang, Cheng Chen, et al.. (2020). A clustering-based approach to vortex extraction. Journal of Visualization. 23(3). 459–474. 12 indexed citations
15.
Dou, Yong, et al.. (2017). Confusion Graph: Detecting Confusion Communities in Large Scale Image Classification. 1980–1986. 9 indexed citations
16.
Wang, Yueqing, et al.. (2017). Bayesian Methods for Media Mix Modeling with Carryover and Shape Effects. 6 indexed citations
17.
Wang, Yueqing, Xinwang Liu, Yong Dou, & Rongchun Li. (2017). Approximate Large-scale Multiple Kernel k-means Using Deep Neural Network. 3006–3012. 12 indexed citations
18.
Zhao, Xin, Yueqing Wang, & Yong Dou. (2017). A Replacement Algorithm of Non-Maximum Suppression Base on Graph Clustering. SHILAP Revista de lepidopterología. 12. 5006–5006. 2 indexed citations
19.
Ma, Zhongliang, Yanli Li, Yueqing Wang, et al.. (2013). miR-150, p53 protein and relevant miRNAs consist of a regulatory network in NSCLC tumorigenesis. Oncology Reports. 30(1). 492–498. 53 indexed citations
20.
Wang, Ke‐Rang, Yueqing Wang, Hua Chen, et al.. (2011). DNA binding and anticancer activity of naphthalimides with 4-hydroxyl-alkylamine side chains at different lengths. Bioorganic & Medicinal Chemistry Letters. 22(2). 937–941. 35 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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