Wei Bian

3.4k total citations
100 papers, 2.0k citations indexed

About

Wei Bian is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Computational Mechanics. According to data from OpenAlex, Wei Bian has authored 100 papers receiving a total of 2.0k indexed citations (citations by other indexed papers that have themselves been cited), including 36 papers in Computer Vision and Pattern Recognition, 33 papers in Artificial Intelligence and 29 papers in Computational Mechanics. Recurrent topics in Wei Bian's work include Sparse and Compressive Sensing Techniques (26 papers), Face and Expression Recognition (15 papers) and Advanced Optimization Algorithms Research (11 papers). Wei Bian is often cited by papers focused on Sparse and Compressive Sensing Techniques (26 papers), Face and Expression Recognition (15 papers) and Advanced Optimization Algorithms Research (11 papers). Wei Bian collaborates with scholars based in China, Australia and Hong Kong. Wei Bian's co-authors include Dacheng Tao, Xiaojun Chen, Xiaoping Xue, Xiaoping Xue, Maoying Qiao, Yan Yan, Yutian Lin, Xuanyi Dong, Yi Yang and Yu Wu and has published in prestigious journals such as PLoS ONE, IEEE Transactions on Pattern Analysis and Machine Intelligence and IEEE Transactions on Image Processing.

In The Last Decade

Wei Bian

94 papers receiving 1.9k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Wei Bian China 25 917 709 502 210 184 100 2.0k
Jinshan Zeng China 18 574 0.6× 372 0.5× 608 1.2× 142 0.7× 155 0.8× 72 1.7k
Kwangmoo Koh United States 7 730 0.8× 401 0.6× 1.0k 2.0× 430 2.0× 101 0.5× 9 2.5k
Yangyang Xu United States 18 793 0.9× 506 0.7× 1.4k 2.8× 222 1.1× 355 1.9× 72 2.5k
B. K. Natarajan United States 17 1.1k 1.1× 491 0.7× 1.2k 2.4× 360 1.7× 119 0.6× 41 2.8k
Yi‐Fei Pu China 28 883 1.0× 531 0.7× 166 0.3× 249 1.2× 84 0.5× 131 2.3k
Prateek Jain India 20 637 0.7× 422 0.6× 709 1.4× 358 1.7× 58 0.3× 97 2.0k
Rachel Ward United States 19 339 0.4× 366 0.5× 811 1.6× 266 1.3× 80 0.4× 64 1.4k
Yue M. Lu United States 24 647 0.7× 359 0.5× 588 1.2× 226 1.1× 34 0.2× 90 1.9k
Ingo Steinwart United States 25 588 0.6× 1.1k 1.6× 519 1.0× 66 0.3× 60 0.3× 65 2.2k
Shiqian Ma United States 27 798 0.9× 614 0.9× 1.9k 3.7× 354 1.7× 567 3.1× 100 3.2k

Countries citing papers authored by Wei Bian

Since Specialization
Citations

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

Fields of papers citing papers by Wei Bian

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Wei Bian

This figure shows the co-authorship network connecting the top 25 collaborators of Wei Bian. A scholar is included among the top collaborators of Wei Bian 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 Wei Bian. Wei Bian 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.
Bian, Wei, et al.. (2024). On solving a rank regularized minimization problem via equivalent factorized column-sparse regularized models. Mathematical Programming. 212(1-2). 273–318.
3.
Li, Jun, et al.. (2024). Normal Transformer: Extracting Surface Geometry From LiDAR Points Enhanced by Visual Semantics. IEEE Transactions on Intelligent Vehicles. 9(10). 6172–6182. 1 indexed citations
4.
Bian, Wei, et al.. (2024). Point Clouds Matching Based on Discrete Optimal Transport. IEEE Transactions on Image Processing. 33. 5650–5662. 1 indexed citations
5.
Bai, Yancheng, et al.. (2024). A Study on the Adverse Impact of Synthetic Speech on Speech Recognition. 33. 10266–10270. 1 indexed citations
6.
Bian, Wei, et al.. (2023). Smoothing Accelerated Proximal Gradient Method with Fast Convergence Rate for Nonsmooth Convex Optimization Beyond Differentiability. Journal of Optimization Theory and Applications. 197(2). 539–572. 1 indexed citations
7.
Bian, Wei, et al.. (2022). Difference-of-Convex Algorithms for a Class of Sparse Group $\ell_0$ Regularized Optimization Problems. SIAM Journal on Optimization. 32(3). 1614–1641. 14 indexed citations
8.
Qu, Xin & Wei Bian. (2022). Fast inertial dynamic algorithm with smoothing method for nonsmooth convex optimization. Computational Optimization and Applications. 83(1). 287–317. 1 indexed citations
9.
Bian, Wei & Xiaojun Chen. (2022). Anderson Acceleration for Nonsmooth Fixed Point Problems. SIAM Journal on Numerical Analysis. 60(5). 2565–2591. 2 indexed citations
10.
Bian, Wei, et al.. (2022). Neural network for a class of sparse optimization with L0-regularization. Neural Networks. 151. 211–221. 7 indexed citations
11.
Bian, Wei, et al.. (2021). Smoothing neural network for L0 regularized optimization problem with general convex constraints. Neural Networks. 143. 678–689. 5 indexed citations
12.
Bian, Wei, et al.. (2021). A Simple Neural Network for Sparse Optimization With $l_1$ Regularization. IEEE Transactions on Network Science and Engineering. 8(4). 3430–3442. 7 indexed citations
13.
Bian, Wei, et al.. (2019). A Novel Multiagent Neurodynamic Approach to Constrained Distributed Convex Optimization. IEEE Transactions on Cybernetics. 51(3). 1322–1333. 34 indexed citations
14.
Bian, Wei, et al.. (2019). Projected Neural Network for a Class of Non-Lipschitz Optimization Problems With Linear Constraints. IEEE Transactions on Neural Networks and Learning Systems. 31(9). 3361–3373. 13 indexed citations
15.
Wu, Yu, Yutian Lin, Xuanyi Dong, et al.. (2019). Progressive Learning for Person Re-Identification With One Example. IEEE Transactions on Image Processing. 28(6). 2872–2881. 161 indexed citations
16.
Bian, Wei, et al.. (2019). Accelerated iterative hard thresholding algorithm for $$l_0$$ regularized regression problem. Journal of Global Optimization. 76(4). 819–840. 7 indexed citations
17.
Bian, Wei, Bo Xie, & Dacheng Tao. (2012). CorrLog: Correlated Logistic Models for Joint Prediction of Multiple Labels. UTS ePRESS (University of Technology Sydney). 109–117. 8 indexed citations
18.
Xie, Bo, Wei Bian, Dacheng Tao, & Parag Chordia. (2011). MUSIC TAGGING WITH REGULARIZED LOGISTIC REGRESSION. UTS ePRESS (University of Technology Sydney). 711–716. 6 indexed citations
19.
Bian, Wei, Dacheng Tao, & Yong Rui. (2011). Cross-Domain Human Action Recognition. IEEE Transactions on Systems Man and Cybernetics Part B (Cybernetics). 42(2). 298–307. 61 indexed citations
20.
Bian, Wei & Dacheng Tao. (2009). Manifold Regularization for SIR with Rate Root-n Convergence. UTS ePRESS (University of Technology Sydney). 22. 117–125. 13 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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