Meng Ding

25 papers and 404 indexed citations i.

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 25 papers receiving a total of 404 indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Computer Vision and Pattern Recognition, 16 papers in Computational Mechanics and 10 papers in Computational Mathematics. Recurrent topics in Meng Ding’s work include Sparse and Compressive Sensing Techniques (16 papers), Image and Signal Denoising Methods (13 papers) and Tensor decomposition and applications (10 papers). Meng Ding is often cited by papers focused on Sparse and Compressive Sensing Techniques (16 papers), Image and Signal Denoising Methods (13 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, Yong Chen, Ruofeng Tong, Teng-Yu Ji, Xiao Fu, Jun Wang and Si Wang and has published in prestigious journals such as IEEE Transactions on Image Processing, Remote Sensing and IEEE Transactions on Neural Networks and Learning Systems.

In The Last Decade

Co-authorship network of co-authors of Meng Ding i

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.

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).

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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2025