Danyang Wu

900 total citations
43 papers, 607 citations indexed

About

Danyang Wu is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Statistical and Nonlinear Physics. According to data from OpenAlex, Danyang Wu has authored 43 papers receiving a total of 607 indexed citations (citations by other indexed papers that have themselves been cited), including 29 papers in Computer Vision and Pattern Recognition, 28 papers in Artificial Intelligence and 8 papers in Statistical and Nonlinear Physics. Recurrent topics in Danyang Wu's work include Advanced Clustering Algorithms Research (20 papers), Face and Expression Recognition (17 papers) and Complex Network Analysis Techniques (8 papers). Danyang Wu is often cited by papers focused on Advanced Clustering Algorithms Research (20 papers), Face and Expression Recognition (17 papers) and Complex Network Analysis Techniques (8 papers). Danyang Wu collaborates with scholars based in China, Singapore and United States. Danyang Wu's co-authors include Feiping Nie, Xuelong Li, Rong Wang, Zhengxin Li, Zhanxuan Hu, Han Zhang, Hui Li, Xuelong Li, Wei Chang and Zheng Wang and has published in prestigious journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, IEEE Transactions on Signal Processing and Pattern Recognition.

In The Last Decade

Danyang Wu

38 papers receiving 603 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Danyang Wu China 14 404 365 88 83 63 43 607
Lai Tian China 10 346 0.9× 249 0.7× 86 1.0× 59 0.7× 33 0.5× 14 469
Linlin Zong China 13 613 1.5× 474 1.3× 126 1.4× 109 1.3× 53 0.8× 41 868
Lele Fu China 10 290 0.7× 271 0.7× 45 0.5× 52 0.6× 37 0.6× 27 464
Na Han China 17 559 1.4× 329 0.9× 189 2.1× 41 0.5× 9 0.1× 34 792
Serhat S. Bucak United States 11 399 1.0× 334 0.9× 63 0.7× 10 0.1× 11 0.2× 17 674
Changqing Zhang China 11 236 0.6× 231 0.6× 50 0.6× 8 0.1× 20 0.3× 21 420
Jidong Zhao China 9 312 0.8× 243 0.7× 49 0.6× 13 0.2× 7 0.1× 17 442
Tingjin Luo China 12 248 0.6× 176 0.5× 66 0.8× 20 0.2× 9 0.1× 39 365

Countries citing papers authored by Danyang Wu

Since Specialization
Citations

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

Fields of papers citing papers by Danyang Wu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Danyang Wu

This figure shows the co-authorship network connecting the top 25 collaborators of Danyang Wu. A scholar is included among the top collaborators of Danyang Wu 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 Danyang Wu. Danyang Wu 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.
Wu, Danyang, et al.. (2025). Multiview Clustering via Block Diagonal Graph Filtering. IEEE Transactions on Neural Networks and Learning Systems. 36(8). 14269–14282.
2.
Fu, Laiyi, et al.. (2025). Parallel Seeds: From Foundation Models to Foundation Intelligence for Agricultural Sustainability. IEEE/CAA Journal of Automatica Sinica. 12(3). 481–484.
3.
Wu, Danyang, et al.. (2025). Triangle Topology Enhancement for Multi-view Graph Clustering. IEEE Transactions on Knowledge and Data Engineering. 1–11.
4.
Wu, Danyang, et al.. (2024). Adaptive Local Modularity Learning for Efficient Multilayer Graph Clustering. IEEE Transactions on Signal Processing. 72. 2221–2232.
5.
Wu, Danyang, et al.. (2024). Cross-View Approximation on Grassmann Manifold for Multiview Clustering. IEEE Transactions on Neural Networks and Learning Systems. 36(4). 7772–7777. 1 indexed citations
6.
7.
Yang, Xiaojun, et al.. (2024). Bidirectional Fusion With Cross-View Graph Filter for Multi-View Clustering. IEEE Transactions on Knowledge and Data Engineering. 36(11). 5675–5680. 5 indexed citations
8.
Cao, Zhe, et al.. (2024). Enhancing Clustering Performance With Tensorized High-Order Bipartite Graphs: A Structured Graph Learning Approach. IEEE Transactions on Circuits and Systems for Video Technology. 35(3). 2616–2631. 6 indexed citations
9.
Nie, Feiping, et al.. (2023). A Novel Normalized-Cut Solver With Nearest Neighbor Hierarchical Initialization. IEEE Transactions on Pattern Analysis and Machine Intelligence. 46(1). 659–666. 11 indexed citations
10.
Li, Zhengxin, Feiping Nie, Danyang Wu, Zheng Wang, & Xuelong Li. (2023). Sparse Trace Ratio LDA for Supervised Feature Selection. IEEE Transactions on Cybernetics. 54(4). 2420–2433. 20 indexed citations
11.
Wang, Rong, et al.. (2023). Multi-View and Multi-Order Structured Graph Learning. IEEE Transactions on Neural Networks and Learning Systems. 35(10). 14437–14448. 15 indexed citations
12.
Hu, Zhanxuan, Yichen Wang, Hailong Ning, Danyang Wu, & Feiping Nie. (2023). Mutual-Taught Deep Clustering. Knowledge-Based Systems. 282. 111100–111100. 7 indexed citations
13.
Wu, Danyang, et al.. (2022). Bidirectional Probabilistic Subspaces Approximation for Multiview Clustering. IEEE Transactions on Neural Networks and Learning Systems. 35(7). 8939–8953. 7 indexed citations
14.
Wu, Danyang, et al.. (2022). An attention-based framework for multi-view clustering on Grassmann manifold. Pattern Recognition. 128. 108610–108610. 16 indexed citations
15.
Cheng, Yunqing, Bo Yang, Runyu Miao, et al.. (2022). Isolation, identification, and evaluation of an ectomycorrhizal fungus from a hazel orchard in China. Scientia Horticulturae. 309. 111679–111679. 3 indexed citations
16.
Li, Ziheng, et al.. (2021). Multi-View Clustering Based on Invisible Weights. IEEE Signal Processing Letters. 28. 1051–1055. 13 indexed citations
17.
Li, Zhengxin, Feiping Nie, Danyang Wu, Zhanxuan Hu, & Xuelong Li. (2021). Unsupervised Feature Selection With Weighted and Projected Adaptive Neighbors. IEEE Transactions on Cybernetics. 53(2). 1260–1271. 40 indexed citations
18.
Hu, Zhanxuan, Danyang Wu, Feiping Nie, & Rong Wang. (2021). Generalization bottleneck in deep metric learning. Information Sciences. 581. 249–261. 7 indexed citations
19.
Nie, Feiping, et al.. (2021). Coordinate Descent Method for k-means. IEEE Transactions on Pattern Analysis and Machine Intelligence. 44(5). 1–1. 55 indexed citations
20.
Nie, Feiping, Danyang Wu, Rong Wang, & Xuelong Li. (2020). Truncated Robust Principle Component Analysis With A General Optimization Framework. IEEE Transactions on Pattern Analysis and Machine Intelligence. 44(2). 1081–1097. 51 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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