Di‐Rong Chen

1.3k total citations
79 papers, 961 citations indexed

About

Di‐Rong Chen is a scholar working on Computational Mechanics, Computer Vision and Pattern Recognition and Applied Mathematics. According to data from OpenAlex, Di‐Rong Chen has authored 79 papers receiving a total of 961 indexed citations (citations by other indexed papers that have themselves been cited), including 40 papers in Computational Mechanics, 25 papers in Computer Vision and Pattern Recognition and 20 papers in Applied Mathematics. Recurrent topics in Di‐Rong Chen's work include Sparse and Compressive Sensing Techniques (28 papers), Numerical methods in inverse problems (17 papers) and Image and Signal Denoising Methods (14 papers). Di‐Rong Chen is often cited by papers focused on Sparse and Compressive Sensing Techniques (28 papers), Numerical methods in inverse problems (17 papers) and Image and Signal Denoising Methods (14 papers). Di‐Rong Chen collaborates with scholars based in China, United States and Taiwan. Di‐Rong Chen's co-authors include Ding‐Xuan Zhou, Yiming Ying, Qiang Wu, Rui Wu, Yongli Xu, Lu Liu, S. D. Riemenschneider, Wei Huang, Lizhong Peng and Huang Wei and has published in prestigious journals such as IEEE Transactions on Automatic Control, IEEE Transactions on Information Theory and Molecular Biology and Evolution.

In The Last Decade

Di‐Rong Chen

68 papers receiving 911 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Di‐Rong Chen China	17	444	327	262	130	117	79	961
Shao-Bo Lin China	17	245 0.6×	379 1.2×	657 2.5×	17 0.1×	84 0.7×	59	1.1k
Gill Barequet Israel	18	602 1.4×	567 1.7×	48 0.2×	26 0.2×	45 0.4×	108	1.4k
Zongben Xu China	7	244 0.5×	196 0.6×	199 0.8×	8 0.1×	48 0.4×	14	732
Gilles Gasso France	9	223 0.5×	213 0.7×	165 0.6×	9 0.1×	39 0.3×	29	659
Minh N. Dao Australia	18	156 0.4×	232 0.7×	144 0.5×	13 0.1×	114 1.0×	62	913
I. D. Coope New Zealand	13	113 0.3×	110 0.3×	145 0.6×	42 0.3×	108 0.9×	33	773
Avraham A. Melkman Israel	14	83 0.2×	122 0.4×	35 0.1×	84 0.6×	34 0.3×	36	626
Juan Andrés Bazerque United States	13	689 1.6×	105 0.3×	303 1.2×	9 0.1×	78 0.7×	35	1.4k
Olivier Devillers France	22	1.1k 2.4×	789 2.4×	105 0.4×	45 0.3×	60 0.5×	129	2.3k
Fei Wen China	19	370 0.8×	493 1.5×	167 0.6×	9 0.1×	32 0.3×	81	1.3k

Countries citing papers authored by Di‐Rong Chen

Since Specialization

Citations

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

Fields of papers citing papers by Di‐Rong Chen

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Di‐Rong Chen. 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 Di‐Rong Chen. The network helps show where Di‐Rong Chen may publish in the future.

Co-authorship network of co-authors of Di‐Rong Chen

This figure shows the co-authorship network connecting the top 25 collaborators of Di‐Rong Chen. A scholar is included among the top collaborators of Di‐Rong Chen 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 Di‐Rong Chen. Di‐Rong Chen is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

Chen, Di‐Rong, et al.. (2023). Optimization Based Layer-Wise Pruning Threshold Method for Accelerating Convolutional Neural Networks. Mathematics. 11(15). 3311–3311. 5 indexed citations

Chen, Di‐Rong, et al.. (2023). Wavelet-based neural network model for track stiffness signal detection. International Journal of Wavelets Multiresolution and Information Processing. 22(3). 3 indexed citations

Chen, Di‐Rong, et al.. (2023). Learning Bilateral Clipping Parametric Activation for Low-Bit Neural Networks. Mathematics. 11(9). 2001–2001. 2 indexed citations

Fan, Jun, et al.. (2023). Correction: Approximation of Nonlinear Functionals Using Deep ReLU Networks. Journal of Fourier Analysis and Applications. 29(5). 1 indexed citations

Fan, Jun, et al.. (2023). Approximation of Nonlinear Functionals Using Deep ReLU Networks. Journal of Fourier Analysis and Applications. 29(4). 8 indexed citations

Chen, Di‐Rong, et al.. (2021). Estimations of singular functions of kernel cross-covariance operators. Journal of Approximation Theory. 266. 105576–105576.

Chen, Di‐Rong, et al.. (2015). Improved continued fraction sequence convergent to the Somos' quadratic recurrence constant. Journal of Mathematical Analysis and Applications. 436(1). 513–520. 6 indexed citations

Ng, Chen Siang, Chih-Kuan Chen, Wen‐Lang Fan, et al.. (2015). Transcriptomic analyses of regenerating adult feathers in chicken. BMC Genomics. 16(1). 756–756. 35 indexed citations

Chen, Heng & Di‐Rong Chen. (2014). Learning rate of support vector machine for ranking. Journal of Approximation Theory. 188. 57–68. 6 indexed citations

10.

Huang, Wei & Di‐Rong Chen. (2011). Gradient iteration with ℓp-norm constraints. Journal of Mathematical Analysis and Applications. 381(2). 947–951. 2 indexed citations

11.

Chen, Di‐Rong & Yao Zhao. (2011). Wavelet shrinkage estimators of Hilbert transform. Journal of Approximation Theory. 163(5). 652–662.

12.

Dong, Xuemei & Di‐Rong Chen. (2008). Learning rates of gradient descent algorithm for classification. Journal of Computational and Applied Mathematics. 224(1). 182–192. 9 indexed citations

13.

Chen, Di‐Rong, et al.. (2008). Convergence of wavelet thresholding estimators of differential operators. Applied and Computational Harmonic Analysis. 25(2). 266–275. 5 indexed citations

14.

Chen, Di‐Rong, et al.. (2008). Learning rates for regularized classifiers using multivariate polynomial kernels. Journal of Complexity. 24(5-6). 619–631. 21 indexed citations

15.

Chen, Di‐Rong & Tao Sun. (2006). Consistency of Multiclass Empirical Risk Minimization Methods Based on Convex Loss. Journal of Machine Learning Research. 7(86). 2435–2447. 5 indexed citations

16.

Chen, Di‐Rong. (2003). Spectral radii and eigenvalues of subdivision operators. Proceedings of the American Mathematical Society. 132(4). 1113–1123. 7 indexed citations

17.

Chen, Di‐Rong & Gerlind Plonka. (2002). Convergence of Cascade Algorithms in Sobolev Spaces for Perturbed Refinement Masks. Journal of Approximation Theory. 119(2). 133–155. 7 indexed citations

18.

Chen, Di‐Rong. (2000). Frames of Periodic Shift-Invariant Spaces. Journal of Approximation Theory. 107(2). 204–211. 5 indexed citations

19.

Chen, Di‐Rong. (1999). Algebraic Properties of Subdivision Operators with Matrix Mask and Their Applications. Journal of Approximation Theory. 97(2). 294–310. 7 indexed citations

20.

Chen, Di‐Rong. (1998). On Linear Independence of Integer Translates of Refinable Vectors. Journal of Mathematical Analysis and Applications. 222(2). 397–410. 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.

Explore authors with similar magnitude of impact