Ying Wen

3.7k total citations · 2 hit papers
82 papers, 2.1k citations indexed

About

Ying Wen is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Signal Processing. According to data from OpenAlex, Ying Wen has authored 82 papers receiving a total of 2.1k indexed citations (citations by other indexed papers that have themselves been cited), including 50 papers in Computer Vision and Pattern Recognition, 28 papers in Artificial Intelligence and 13 papers in Signal Processing. Recurrent topics in Ying Wen's work include Medical Image Segmentation Techniques (19 papers), Face and Expression Recognition (19 papers) and Advanced Image and Video Retrieval Techniques (11 papers). Ying Wen is often cited by papers focused on Medical Image Segmentation Techniques (19 papers), Face and Expression Recognition (19 papers) and Advanced Image and Video Retrieval Techniques (11 papers). Ying Wen collaborates with scholars based in China, United States and United Kingdom. Ying Wen's co-authors include Lianghua He, Jiafeng Li, Yue Lu, Pengfei Shi, Karen M. von Deneen, Weinan Zhang, Han Cai, Jun Wang, Yong Yu and Yanru Qu and has published in prestigious journals such as Scientific Reports, Brain Research and IEEE Transactions on Image Processing.

In The Last Decade

Ying Wen

80 papers receiving 2.0k citations

Hit Papers

Product-Based Neural Networks for User Response Prediction 2016 2026 2019 2022 2016 2023 100 200 300
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. Product-Based Neural Networks for User Response Prediction
    2016 392 citations Yanru Qu, Han Cai et al. profile →
  2. SCConv: Spatial and Channel Reconstruction Convolution for Feature Redundancy
    2023 321 citations Jiafeng Li, Ying Wen et al. profile →

Peers

Ying Wen
Santanu Chaudhury India
Fayadh Alenezi Saudi Arabia
Vikrant Bhateja India
Brijesh Verma Australia
George A. Papakostas Greece
Fanzhang Li China
Chao Gou China
Adi Alhudhaif Saudi Arabia
Michael Gray United States
Weijun Li China
Santanu Chaudhury India
Ying Wen
Citations per year, relative to Ying Wen Ying Wen (= 1×) peers Santanu Chaudhury

Countries citing papers authored by Ying Wen

Since Specialization
Citations

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

Fields of papers citing papers by Ying Wen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ying Wen

This figure shows the co-authorship network connecting the top 25 collaborators of Ying Wen. A scholar is included among the top collaborators of Ying Wen 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 Ying Wen. Ying Wen 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.
Wen, Ying, et al.. (2024). IDC-Net: Multi-stage Registration Network Using Intensity Adjustment, Dual-Stream and Cost Volume. Biomedical Signal Processing and Control. 97. 106725–106725. 3 indexed citations
3.
Li, Jiafeng, et al.. (2024). EAN: An Efficient Attention Module Guided by Normalization for Deep Neural Networks. Proceedings of the AAAI Conference on Artificial Intelligence. 38(4). 3100–3108. 2 indexed citations
4.
Yang, Chao, et al.. (2024). Critic-Guided Decision Transformer for Offline Reinforcement Learning. Proceedings of the AAAI Conference on Artificial Intelligence. 38(14). 15706–15714. 1 indexed citations
5.
Li, Jiafeng, et al.. (2024). IIRP-Net: Iterative Inference Residual Pyramid Network for Enhanced Image Registration. 11546–11555. 6 indexed citations
6.
Xing, Dengpeng, Weinan Zhang, Ying Wen, et al.. (2023). Offline Pre-trained Multi-agent Decision Transformer. 20(2). 233–248. 25 indexed citations
7.
Li, Jiafeng, Ying Wen, & Lianghua He. (2023). SCConv: Spatial and Channel Reconstruction Convolution for Feature Redundancy. 6153–6162. 321 indexed citations breakdown →
8.
Wen, Ying, et al.. (2023). Prediction of common labels for universal domain adaptation. Neural Networks. 165. 463–471. 3 indexed citations
9.
Liu, Xiangyu, Ying Wen, Yaodong Yang, et al.. (2021). Towards Unifying Behavioral and Response Diversity for Open-ended Learning in Zero-sum Games. Neural Information Processing Systems. 34. 6 indexed citations
10.
Wen, Ying, et al.. (2021). Sparse Individual Low-Rank Component Representation for Face Recognition in the IoT-Based System. IEEE Internet of Things Journal. 8(24). 17320–17332. 12 indexed citations
11.
Wan, Ziyu, Bo Liu, Stephen McAleer, et al.. (2021). Neural Auto-Curricula in Two-Player Zero-Sum Games. UCL Discovery (University College London). 34. 2 indexed citations
12.
Wen, Ying, et al.. (2020). Sparse Common Feature Representation for Undersampled Face Recognition. IEEE Internet of Things Journal. 8(7). 5607–5618. 19 indexed citations
13.
Wen, Ying, Cheng Xu, Yue Lu, et al.. (2020). Gabor Feature-Based LogDemons With Inertial Constraint for Nonrigid Image Registration. IEEE Transactions on Image Processing. 29. 8238–8250. 8 indexed citations
14.
Wen, Ying, Yaodong Yang, Rui Luo, Jun Wang, & Wei Pan. (2019). Probabilistic Recursive Reasoning for Multi-Agent Reinforcement Learning. arXiv (Cornell University). 13 indexed citations
15.
Peng, Peng, et al.. (2017). Multiagent Bidirectionally-Coordinated Nets for Learning to Play StarCraft Combat Games.. arXiv (Cornell University). 94 indexed citations
16.
Wen, Ying, Weinan Zhang, Rui Luo, & Jun Wang. (2016). Learning text representation using recurrent convolutional neural network with highway layers. UCL Discovery (University College London). 2 indexed citations
17.
Qu, Yanru, Han Cai, Kan Ren, et al.. (2016). Product-Based Neural Networks for User Response Prediction. 1149–1154. 392 indexed citations breakdown →
18.
Wen, Ying, et al.. (2013). Brain tissue classification based on DTI using an improved Fuzzy C-means algorithm with spatial constraints. Magnetic Resonance Imaging. 31(9). 1623–1630. 14 indexed citations
19.
20.
Shi, Jianting, Ying Wen, Hui Fan, et al.. (2008). Translational responses of NR2B overexpression in the cerebral cortex of transgenic mice: A liquid chromatography-based proteomic approach. Brain Research. 1250. 1–13. 2 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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