Minru Bai

684 total citations
32 papers, 485 citations indexed

About

Minru Bai is a scholar working on Computational Theory and Mathematics, Computational Mechanics and Computer Vision and Pattern Recognition. According to data from OpenAlex, Minru Bai has authored 32 papers receiving a total of 485 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Computational Theory and Mathematics, 13 papers in Computational Mechanics and 11 papers in Computer Vision and Pattern Recognition. Recurrent topics in Minru Bai's work include Sparse and Compressive Sensing Techniques (12 papers), Tensor decomposition and applications (11 papers) and Optimization and Variational Analysis (10 papers). Minru Bai is often cited by papers focused on Sparse and Compressive Sensing Techniques (12 papers), Tensor decomposition and applications (11 papers) and Optimization and Variational Analysis (10 papers). Minru Bai collaborates with scholars based in China, Hong Kong and South Korea. Minru Bai's co-authors include Xiongjun Zhang, Michael K. Ng, Guyan Ni, Duo Qiu, Nan‐jing Huang, Shuzi Zhou, Liqun Qi, Yeol Je Cho, Shin Min Kang and Julio Benítez and has published in prestigious journals such as IEEE Transactions on Communications, Neurocomputing and Computers & Mathematics with Applications.

In The Last Decade

Minru Bai

28 papers receiving 449 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Minru Bai China 14 243 221 192 176 48 32 485
Carmeliza Navasca United States 9 73 0.3× 238 1.1× 38 0.2× 126 0.7× 34 0.7× 22 351
Ignat Domanov Belgium 10 125 0.5× 309 1.4× 14 0.1× 82 0.5× 11 0.2× 26 394
Guyan Ni China 10 44 0.2× 180 0.8× 24 0.1× 131 0.7× 37 0.8× 33 285
Zhenyun Peng China 13 37 0.2× 35 0.2× 56 0.3× 389 2.2× 271 5.6× 41 521
Masahiro Shiota Japan 13 166 0.7× 17 0.1× 46 0.2× 226 1.3× 114 2.4× 52 645
Nick Vannieuwenhoven Belgium 10 129 0.5× 303 1.4× 20 0.1× 133 0.8× 30 0.6× 30 381
Fatemeh Panjeh Ali Beik Iran 12 144 0.6× 153 0.7× 32 0.2× 372 2.1× 161 3.4× 47 460
Guoping He China 9 175 0.7× 35 0.2× 249 1.3× 11 0.1× 57 1.2× 12 432
Milvio Capovani Italy 7 44 0.2× 86 0.4× 14 0.1× 251 1.4× 69 1.4× 13 341
Jan Draisma Netherlands 12 53 0.2× 82 0.4× 20 0.1× 231 1.3× 28 0.6× 59 508

Countries citing papers authored by Minru Bai

Since Specialization
Citations

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

Fields of papers citing papers by Minru Bai

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Minru Bai

This figure shows the co-authorship network connecting the top 25 collaborators of Minru Bai. A scholar is included among the top collaborators of Minru Bai 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 Minru Bai. Minru Bai 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.
Yu, Quan & Minru Bai. (2024). Generalized Nonconvex Hyperspectral Anomaly Detection via Background Representation Learning with Dictionary Constraint. SIAM Journal on Imaging Sciences. 17(2). 917–950. 3 indexed citations
2.
Bai, Minru, et al.. (2024). Subspace-based coupled tensor decomposition for hyperspectral blind fusion. Inverse Problems and Imaging. 19(3). 560–591. 1 indexed citations
3.
Wang, Zihao, et al.. (2024). Beamforming Tensor Compression for Massive MIMO Fronthaul. IEEE Transactions on Communications. 73(6). 3894–3908.
4.
Wang, Zihao & Minru Bai. (2024). An inexactly accelerated algorithm for nonnegative tensor CP decomposition with the column unit constraints. Computational Optimization and Applications. 88(3). 923–962.
5.
Qiu, Duo, Minru Bai, Michael K. Ng, & Xiongjun Zhang. (2021). Nonlocal robust tensor recovery with nonconvex regularization *. Inverse Problems. 37(3). 35001–35001. 39 indexed citations
6.
Qiu, Duo, Minru Bai, Michael K. Ng, & Xiongjun Zhang. (2021). Robust low-rank tensor completion via transformed tensor nuclear norm with total variation regularization. Neurocomputing. 435. 197–215. 52 indexed citations
7.
Bai, Minru, et al.. (2019). A descent cautious BFGS method for computing US-eigenvalues of symmetric complex tensors. Journal of Global Optimization. 76(4). 889–911. 3 indexed citations
8.
Bai, Minru, et al.. (2017). The generalized inverses of tensors and an application to linear models. Computers & Mathematics with Applications. 74(3). 385–397. 36 indexed citations
9.
Zhang, Xiongjun, Minru Bai, & Michael K. Ng. (2017). Nonconvex-TV Based Image Restoration with Impulse Noise Removal. SIAM Journal on Imaging Sciences. 10(3). 1627–1667. 56 indexed citations
10.
Bai, Minru, et al.. (2016). Lower and upper bounds for H-eigenvalues of even order real symmetric tensors. Linear and Multilinear Algebra. 65(7). 1402–1416. 3 indexed citations
11.
Ni, Guyan, Liqun Qi, & Minru Bai. (2014). Geometric Measure of Entanglement and U-Eigenvalues of Tensors. SIAM Journal on Matrix Analysis and Applications. 35(1). 73–87. 32 indexed citations
12.
Ni, Guyan, et al.. (2013). The Convergence of the Tangential Scattered Magnetic Field Based on the Vertical Improper Integral. Electromagnetics. 33(2). 116–130. 1 indexed citations
13.
Bai, Minru, Shuzi Zhou, & Guyan Ni. (2007). On the generalized monotonicity of variational inequalities. Computers & Mathematics with Applications. 53(6). 910–917. 7 indexed citations
14.
Bai, Minru, Shuzi Zhou, & Guyan Ni. (2005). Variational-like inequalities with relaxed η−α pseudomonotone mappings in Banach spaces. Applied Mathematics Letters. 19(6). 547–554. 18 indexed citations
15.
Zhou, Shuzi & Minru Bai. (2004). A new exceptional family of elements for a variational inequality problem on Hilbert space. Applied Mathematics Letters. 17(4). 423–428. 7 indexed citations
16.
Bai, Minru. (2001). Perturbed iterative process for fixed points of multivalued φ-hemicontractive mappings in Banach spaces. Computers & Mathematics with Applications. 41(1-2). 103–109.
17.
Huang, Nan‐jing, Y. J. Cho, Minru Bai, & Shin Min Kang. (2000). Convergence of steepest descent approximation for set-valued quasi-accretive mapping equations. Mathematical and Computer Modelling. 32(10). 1083–1093. 1 indexed citations
18.
Huang, Nan‐jing, Minru Bai, Yeol Je Cho, & Shin Min Kang. (2000). Generalized nonlinear mixed quasi-variational inequalities. Computers & Mathematics with Applications. 40(2-3). 205–215. 38 indexed citations
19.
Huang, Nan‐jing, et al.. (1999). The generalized set-valued strongly nonlinear implicit variational inequalities. Computers & Mathematics with Applications. 37(10). 29–36. 15 indexed citations
20.
Bai, Minru, et al.. (1999). Generalized implicit quasivariational inequalities with relaxed Lipschitz and relaxed monotone mappings. Applied Mathematics Letters. 12(5). 69–76. 4 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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