Yue Deng

4.1k total citations · 3 hit papers
90 papers, 2.7k citations indexed

About

Yue Deng is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Molecular Biology. According to data from OpenAlex, Yue Deng has authored 90 papers receiving a total of 2.7k indexed citations (citations by other indexed papers that have themselves been cited), including 24 papers in Computer Vision and Pattern Recognition, 23 papers in Artificial Intelligence and 21 papers in Molecular Biology. Recurrent topics in Yue Deng's work include Advanced Image and Video Retrieval Techniques (7 papers), Domain Adaptation and Few-Shot Learning (6 papers) and Image Retrieval and Classification Techniques (5 papers). Yue Deng is often cited by papers focused on Advanced Image and Video Retrieval Techniques (7 papers), Domain Adaptation and Few-Shot Learning (6 papers) and Image Retrieval and Classification Techniques (5 papers). Yue Deng collaborates with scholars based in China, United States and United Kingdom. Yue Deng's co-authors include Qionghai Dai, Feng Bao, Youyong Kong, Zhiquan Ren, Zengke Zhang, Leyuan Fang, Lani F. Wu, Steven J. Altschuler, Jun Yue and Bin Cao and has published in prestigious journals such as Nucleic Acids Research, Nature Communications and SHILAP Revista de lepidopterología.

In The Last Decade

Yue Deng

83 papers receiving 2.6k citations

Hit Papers

Deep Direct Reinforcement Learning for Financial Signal R... 2016 2026 2019 2022 2016 2016 2023 100 200 300 400
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. Deep Direct Reinforcement Learning for Financial Signal Representation and Trading
    2016 474 citations Yue Deng, Feng Bao et al. IEEE Transactions on Neural Networks and Learning Systems profile →
  2. A Hierarchical Fused Fuzzy Deep Neural Network for Data Classification
    2016 297 citations Yue Deng, Zhiquan Ren et al. profile →
  3. Dif-Fusion: Toward High Color Fidelity in Infrared and Visible Image Fusion With Diffusion Models
    2023 125 citations Jun Yue, Leyuan Fang et al. IEEE Transactions on Image Processing profile →

Peers

Yue Deng
Jian Yu China
Shengwu Xiong China
Jinglu Hu Japan
Mahesan Niranjan United Kingdom
Khaled Rasheed United States
Milan Tuba Serbia
Pieter-Tjerk de Boer Netherlands
Yuehui Chen China
Ran Wang China
Ping Li China
Jian Yu China
Yue Deng
Citations per year, relative to Yue Deng Yue Deng (= 1×) peers Jian Yu

Countries citing papers authored by Yue Deng

Since Specialization
Citations

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

Fields of papers citing papers by Yue Deng

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yue Deng

This figure shows the co-authorship network connecting the top 25 collaborators of Yue Deng. A scholar is included among the top collaborators of Yue Deng 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 Yue Deng. Yue Deng 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.
Yao, Wen, et al.. (2025). Image-to-Image Bayesian Flow Networks With Structurally Informative Priors. IEEE Transactions on Image Processing. 34. 4968–4982.
2.
Ren, Gang, et al.. (2025). Interaction-aware vehicle trajectory prediction using spatial-temporal dynamic graph neural network. Knowledge-Based Systems. 327. 114187–114187.
3.
Fang, Leyuan, et al.. (2025). High-Dimensional Hyperparameter Optimization via Adjoint Differentiation. IEEE Transactions on Artificial Intelligence. 6(8). 2148–2162. 1 indexed citations
4.
Zheng, Jin, Qing Gao, Maciej Ogorzałek, Jinhu Lü, & Yue Deng. (2024). A Quantum Spatial Graph Convolutional Neural Network Model on Quantum Circuits. IEEE Transactions on Neural Networks and Learning Systems. 36(3). 5706–5720. 9 indexed citations
5.
Bao, Feng, et al.. (2024). Tissue characterization at an enhanced resolution across spatial omics platforms with deep generative model. Nature Communications. 15(1). 6541–6541. 12 indexed citations
6.
Deng, Yue, Siyu Chen, Hyung Suk Oh, et al.. (2024). Neuronal miR-9 promotes HSV-1 epigenetic silencing and latency by repressing Oct-1 and Onecut family genes. Nature Communications. 15(1). 1991–1991. 14 indexed citations
7.
Wang, Xingfen, et al.. (2024). Screening of potential targets and small-molecule drugs related to lipid metabolism in ovarian cancer based on bioinformatics. Biochemical and Biophysical Research Communications. 733. 150673–150673.
8.
Zheng, Jin, Qing Gao, Daoyi Dong, Jinhu Lü, & Yue Deng. (2024). A Quantum Multimodal Neural Network Model for Sentiment Analysis on Quantum Circuits. IEEE Transactions on Artificial Intelligence. 6(5). 1128–1142. 3 indexed citations
9.
Wu, Jie, et al.. (2023). Efficient Layer Compression Without Pruning. IEEE Transactions on Image Processing. 32. 4689–4700. 16 indexed citations
10.
Yue, Jun, Leyuan Fang, Shaobo Xia, Yue Deng, & Jiayi Ma. (2023). Dif-Fusion: Toward High Color Fidelity in Infrared and Visible Image Fusion With Diffusion Models. IEEE Transactions on Image Processing. 32. 5705–5720. 125 indexed citations breakdown →
11.
Gao, Qing, et al.. (2023). A Subgraph-Based Hierarchical Q-Learning Approach to Optimal Resource Scheduling for Complex Industrial Networks. IEEE Transactions on Circuits and Systems I Regular Papers. 71(5). 2146–2156. 6 indexed citations
12.
Deng, Yue, et al.. (2023). Study on the Performance of Personal Heating in Extremely Cold Environments Using a Thermal Manikin. Buildings. 13(2). 362–362. 6 indexed citations
13.
Deng, Yue, et al.. (2023). ARID5B promoted the histone demethylation of SORBS2 and hampered the metastasis of ovarian cancer. Pathology - Research and Practice. 252. 154911–154911. 9 indexed citations
14.
Bao, Feng, Yue Deng, Susan Q. Shen, et al.. (2022). Integrative spatial analysis of cell morphologies and transcriptional states with MUSE. Nature Biotechnology. 40(8). 1200–1209. 64 indexed citations
15.
Li, Xinyang, Guoxun Zhang, Hui Qiao, et al.. (2021). Unsupervised content-preserving transformation for optical microscopy. Light Science & Applications. 10(1). 79 indexed citations
16.
Zhang, Anke, Yue Deng, Feihu Xu, et al.. (2021). Dynamic non-line-of-sight imaging system based on the optimization of point spread functions. Optics Express. 29(20). 32349–32349. 46 indexed citations
17.
Bao, Feng, Yue Deng, Mulong Du, et al.. (2020). Explaining the Genetic Causality for Complex Phenotype via Deep Association Kernel Learning. Patterns. 1(6). 100057–100057. 6 indexed citations
18.
Zeng, Wei‐Cai, et al.. (2016). Chinese ethnic meat products: Continuity and development. Meat Science. 120. 37–46. 71 indexed citations
19.
Deng, Yue. (2007). Effects of controlled pool level in non-flood seasons on the sedimentation in Sanmenxia reservoir. Journal of Hydroelectric Engineering. 1 indexed citations
20.
Deng, Yue. (2005). Adjustment of longitudinal bed profile of riverbed in Sanmenxia Reservoir.

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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