Ling Ding

92 total papers · 676 total citations
42 papers, 360 citations indexed

About

Ling Ding is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Statistical and Nonlinear Physics. According to data from OpenAlex, Ling Ding has authored 42 papers receiving a total of 360 indexed citations (citations by other indexed papers that have themselves been cited), including 26 papers in Artificial Intelligence, 11 papers in Computer Vision and Pattern Recognition and 10 papers in Statistical and Nonlinear Physics. Recurrent topics in Ling Ding's work include Advanced Clustering Algorithms Research (11 papers), Complex Network Analysis Techniques (10 papers) and Face and Expression Recognition (6 papers). Ling Ding is often cited by papers focused on Advanced Clustering Algorithms Research (11 papers), Complex Network Analysis Techniques (10 papers) and Face and Expression Recognition (6 papers). Ling Ding collaborates with scholars based in China, Singapore and Taiwan. Ling Ding's co-authors include Shifei Ding, Xiao Xu, Di Jin, Lili Guo, Jian Zhang, Yanru Wang, Lijuan Wang, Lili Guo, Bin He and Donatella Mattia and has published in prestigious journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, IEEE Transactions on Biomedical Engineering and Pattern Recognition.

In The Last Decade

Ling Ding

38 papers receiving 357 citations

Hit Papers

Survey of spectral cluste... 2024 2026 2024 10 20 30 40
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation benchmark for papers published in the same subfield and year, or reaches the top citation threshold in at least one of its specific research topics.

  1. Survey of spectral clustering based on graph theory
    2024 47 citations Ling Ding, Di Jin et al. Pattern Recognition profile →

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Ling Ding 173 92 53 52 29 42 360
Liang Chen 34 0.2× 79 0.9× 64 1.2× 16 0.3× 20 0.7× 48 345
Yang Liu 91 0.5× 88 1.0× 85 1.6× 18 0.3× 42 1.4× 30 301
Ce Guo 129 0.7× 90 1.0× 18 0.3× 14 0.3× 21 0.7× 51 330
Maurizio Giordano 98 0.6× 159 1.7× 27 0.5× 14 0.3× 14 0.5× 44 350
Wei Li 109 0.6× 114 1.2× 16 0.3× 6 0.1× 45 1.6× 31 383
Zhao Xu 176 1.0× 31 0.3× 10 0.2× 57 1.1× 30 1.0× 39 318
Mohammed Nasser Al-Andoli 121 0.7× 33 0.4× 14 0.3× 62 1.2× 43 1.5× 32 313
T. Kathirvalavakumar 271 1.6× 92 1.0× 10 0.2× 8 0.2× 32 1.1× 27 393
Min Dong 87 0.5× 132 1.4× 7 0.1× 16 0.3× 14 0.5× 39 302
Xintao Ding 79 0.5× 70 0.8× 57 1.1× 15 0.3× 31 1.1× 35 332

Countries citing papers authored by Ling Ding

Since Specialization
Citations

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

Fields of papers citing papers by Ling Ding

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ling Ding

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

All Works

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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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