Meng Ding

1.7k total citations
28 papers, 472 citations indexed

About

Meng Ding is a scholar working on Computer Vision and Pattern Recognition, Computational Mechanics and Computational Mathematics. According to data from OpenAlex, Meng Ding has authored 28 papers receiving a total of 472 indexed citations (citations by other indexed papers that have themselves been cited), including 22 papers in Computer Vision and Pattern Recognition, 17 papers in Computational Mechanics and 10 papers in Computational Mathematics. Recurrent topics in Meng Ding's work include Sparse and Compressive Sensing Techniques (17 papers), Image and Signal Denoising Methods (15 papers) and Tensor decomposition and applications (10 papers). Meng Ding is often cited by papers focused on Sparse and Compressive Sensing Techniques (17 papers), Image and Signal Denoising Methods (15 papers) and Tensor decomposition and applications (10 papers). Meng Ding collaborates with scholars based in China, United States and Hong Kong. Meng Ding's co-authors include Xi-Le Zhao, Ting‐Zhu Huang, Jing‐Hua Yang, Tian-Hui Ma, Ruofeng Tong, Yong Chen, Xiao Fu, Teng-Yu Ji, Jun Wang and Si Wang and has published in prestigious journals such as IEEE Transactions on Image Processing, IEEE Transactions on Intelligent Transportation Systems and Remote Sensing.

In The Last Decade

Meng Ding

25 papers receiving 462 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Meng Ding China	11	309	211	136	133	44	28	472
Jing‐Hua Yang China	10	304 1.0×	240 1.1×	181 1.3×	109 0.8×	78 1.8×	35	510
Longhao Yuan Japan	9	215 0.7×	225 1.1×	255 1.9×	81 0.6×	45 1.0×	14	461
Shaoguang Huang China	13	303 1.0×	138 0.7×	56 0.4×	314 2.4×	68 1.5×	44	551
José A. Iglesias-Guitián Italy	13	462 1.5×	115 0.5×	25 0.2×	68 0.5×	35 0.8×	31	611
Wenrui Hu China	9	284 0.9×	135 0.6×	116 0.9×	57 0.4×	43 1.0×	16	376
Minghua Wang China	12	260 0.8×	134 0.6×	35 0.3×	352 2.6×	66 1.5×	32	538
Zhi‐Feng Pang China	11	285 0.9×	104 0.5×	8 0.1×	91 0.7×	39 0.9×	53	385
Xie Sheng-li China	10	294 1.0×	100 0.5×	10 0.1×	237 1.8×	41 0.9×	44	585
Guohua Peng China	10	171 0.6×	62 0.3×	12 0.1×	59 0.4×	60 1.4×	65	351
Wenbo Mei China	13	390 1.3×	106 0.5×	12 0.1×	292 2.2×	53 1.2×	55	586

Countries citing papers authored by Meng Ding

Since Specialization

Citations

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

Fields of papers citing papers by Meng Ding

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Meng Ding

This figure shows the co-authorship network connecting the top 25 collaborators of Meng Ding. A scholar is included among the top collaborators of Meng Ding 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 Meng Ding. Meng Ding 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

Ding, Meng, Xi-Le Zhao, Jing‐Hua Yang, Zhengchun Zhou, & Michael K. Ng. (2025). Bilateral Tensor Low-Rank Representation for Insufficient Observed Samples in Multidimensional Image Clustering and Recovery. SIAM Journal on Imaging Sciences. 18(1). 20–59. 3 indexed citations

Ding, Meng, Jing‐Hua Yang, Xi-Le Zhao, Jie Zhang, & Michael K. Ng. (2025). Nonconvex Low-Rank Tensor Representation for Multi-View Subspace Clustering With Insufficient Observed Samples. IEEE Transactions on Knowledge and Data Engineering. 37(6). 3583–3597. 1 indexed citations

Ding, Meng, et al.. (2024). Noisy tensor recovery via nonconvex optimization with theoretical recoverability. Applied Mathematics Letters. 157. 109170–109170.

Zhao, Xi-Le, et al.. (2024). Convolutional Low-Rank Tensor Representation for Structural Missing Traffic Data Imputation. IEEE Transactions on Intelligent Transportation Systems. 25(11). 18847–18860. 5 indexed citations

Ding, Meng, Xiao Fu, & Xi-Le Zhao. (2023). Fast and Structured Block-Term Tensor Decomposition for Hyperspectral Unmixing. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing. 16. 1691–1709. 10 indexed citations

Zhao, Xi-Le, et al.. (2023). Irregular Tensor Representation for Superpixel- Guided Hyperspectral Image Denoising. IEEE Geoscience and Remote Sensing Letters. 20. 1–5. 7 indexed citations

Zhao, Xi-Le, et al.. (2023). Hyperspectral Image Mixed Noise Removal via Nonlinear Transform-Based Block-Term Tensor Decomposition. IEEE Geoscience and Remote Sensing Letters. 20. 1–5. 5 indexed citations

Ding, Meng, Xiao Fu, & Xi-Le Zhao. (2023). Bilinear Hyperspectral Unmixing via Tensor Decomposition. 640–644.

Ding, Meng, et al.. (2023). Spatiotemporal traffic data imputation by synergizing low tensor ring rank and nonlocal subspace regularization. IET Intelligent Transport Systems. 17(9). 1908–1923. 8 indexed citations

10.

Yang, Jing‐Hua, et al.. (2022). Robust Corrupted Data Recovery and Clustering via Generalized Transformed Tensor Low-Rank Representation. IEEE Transactions on Neural Networks and Learning Systems. 35(7). 8839–8853. 18 indexed citations

11.

Zhao, Xi-Le, et al.. (2022). Tensor ring decomposition-based model with interpretable gradient factors regularization for tensor completion. Knowledge-Based Systems. 259. 110094–110094. 21 indexed citations

12.

Yang, Jing‐Hua, Chuan Chen, Hong‐Ning Dai, et al.. (2022). Hierarchical Representation for Multi-view Clustering. Proceedings of the 31st ACM International Conference on Information & Knowledge Management. 2362–2371. 3 indexed citations

13.

Ding, Meng, Ting‐Zhu Huang, Xi-Le Zhao, & Tian-Hui Ma. (2021). Tensor completion via nonconvex tensor ring rank minimization with guaranteed convergence. Signal Processing. 194. 108425–108425. 19 indexed citations

14.

Ding, Meng, Xiao Fu, Ting‐Zhu Huang, & Xi-Le Zhao. (2021). Constrained Block-Term Tensor Decomposition-Based Hyperspectral Unmixing via Alternating Gradient Projection. 2021 29th European Signal Processing Conference (EUSIPCO). 1060–1064. 2 indexed citations

15.

Ding, Meng, Xiao Fu, Ting‐Zhu Huang, Jun Wang, & Xi-Le Zhao. (2020). Hyperspectral Super-Resolution via Interpretable Block-Term Tensor Modeling. IEEE Journal of Selected Topics in Signal Processing. 15(3). 641–656. 54 indexed citations

16.

Yang, Jing‐Hua, Xi-Le Zhao, Tian-Hui Ma, Meng Ding, & Ting‐Zhu Huang. (2020). Tensor train rank minimization with hybrid smoothness regularization for visual data recovery. Applied Mathematical Modelling. 81. 711–726. 18 indexed citations

17.

Yang, Jing‐Hua, Xi-Le Zhao, Tian-Hui Ma, et al.. (2019). Remote sensing images destriping using unidirectional hybrid total variation and nonconvex low-rank regularization. Journal of Computational and Applied Mathematics. 363. 124–144. 106 indexed citations

18.

Ding, Meng, Ting‐Zhu Huang, Teng-Yu Ji, Xi-Le Zhao, & Jing‐Hua Yang. (2019). Low-Rank Tensor Completion Using Matrix Factorization Based on Tensor Train Rank and Total Variation. Journal of Scientific Computing. 81(2). 941–964. 62 indexed citations

19.

Ding, Meng, et al.. (2018). Total variation with overlapping group sparsity for deblurring images under Cauchy noise. Applied Mathematics and Computation. 341. 128–147. 36 indexed citations

20.

Ding, Meng, et al.. (2008). An extension to 3D topological thinning method based on LUT for colon centerline extraction. Computer Methods and Programs in Biomedicine. 94(1). 39–47. 9 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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