Li‐Dan Kuang

50 total papers · 647 total citations
34 papers, 435 citations indexed

About

Li‐Dan Kuang is a scholar working on Signal Processing, Cognitive Neuroscience and Computer Vision and Pattern Recognition. According to data from OpenAlex, Li‐Dan Kuang has authored 34 papers receiving a total of 435 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Signal Processing, 12 papers in Cognitive Neuroscience and 10 papers in Computer Vision and Pattern Recognition. Recurrent topics in Li‐Dan Kuang's work include Blind Source Separation Techniques (13 papers), Functional Brain Connectivity Studies (12 papers) and Tensor decomposition and applications (8 papers). Li‐Dan Kuang is often cited by papers focused on Blind Source Separation Techniques (13 papers), Functional Brain Connectivity Studies (12 papers) and Tensor decomposition and applications (8 papers). Li‐Dan Kuang collaborates with scholars based in China, United States and Finland. Li‐Dan Kuang's co-authors include Qiu‐Hua Lin, Xiao‐Feng Gong, Fengyu Cong, Tapani Ristaniemi, Piia Astikainen, Jianming Zhang, Vince D. Calhoun, Wentao Chen, Bin Zheng and Yufan He and has published in prestigious journals such as Scientific Reports, Expert Systems with Applications and IEEE Transactions on Medical Imaging.

In The Last Decade

Li‐Dan Kuang

27 papers receiving 430 citations

Author Peers

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

Author Last Decade Papers Cites
Li‐Dan Kuang 164 155 127 95 95 34 435
Marco Signoretto 66 0.4× 218 1.4× 117 0.9× 128 1.3× 60 0.6× 18 475
Yunbo Tang 272 1.7× 23 0.1× 93 0.7× 53 0.6× 26 0.3× 27 427
Ahmad Karfoul 265 1.6× 30 0.2× 204 1.6× 18 0.2× 22 0.2× 31 407
Syed Zubair 24 0.1× 34 0.2× 111 0.9× 87 0.9× 26 0.3× 21 472
Fetsje Bijma 228 1.4× 12 0.1× 96 0.8× 14 0.1× 63 0.7× 21 472
Vamsi Krishna Ithapu 52 0.3× 5 0.0× 131 1.0× 143 1.5× 55 0.6× 37 451
Xizhan Gao 49 0.3× 8 0.1× 32 0.3× 249 2.6× 49 0.5× 54 465
Bo Yang 161 1.0× 8 0.1× 9 0.1× 51 0.5× 77 0.8× 51 474
Sarang Joshi 43 0.3× 8 0.1× 16 0.1× 189 2.0× 82 0.9× 16 374
Grigorios G. Chrysos 14 0.1× 38 0.2× 86 0.7× 343 3.6× 13 0.1× 27 479

Countries citing papers authored by Li‐Dan Kuang

Since Specialization
Citations

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

Fields of papers citing papers by Li‐Dan Kuang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Li‐Dan Kuang. 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 Li‐Dan Kuang. The network helps show where Li‐Dan Kuang may publish in the future.

Co-authorship network of co-authors of Li‐Dan Kuang

This figure shows the co-authorship network connecting the top 25 collaborators of Li‐Dan Kuang. A scholar is included among the top collaborators of Li‐Dan Kuang 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 Li‐Dan Kuang. Li‐Dan Kuang 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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2026