Danni Li

28 total papers · 549 total citations
19 papers, 390 citations indexed

About

Danni Li is a scholar working on Biomedical Engineering, Cognitive Neuroscience and Mechanical Engineering. According to data from OpenAlex, Danni Li has authored 19 papers receiving a total of 390 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Biomedical Engineering, 4 papers in Cognitive Neuroscience and 4 papers in Mechanical Engineering. Recurrent topics in Danni Li's work include Catalysis for Biomass Conversion (4 papers), Catalysis and Hydrodesulfurization Studies (4 papers) and EEG and Brain-Computer Interfaces (2 papers). Danni Li is often cited by papers focused on Catalysis for Biomass Conversion (4 papers), Catalysis and Hydrodesulfurization Studies (4 papers) and EEG and Brain-Computer Interfaces (2 papers). Danni Li collaborates with scholars based in China, Hong Kong and Saudi Arabia. Danni Li's co-authors include Tian‐Meng Guo, Mo Qiu, Xinhua Qi, Haoran Yuan, Jun Zhang, Tianhu He, Quanxiang Xian, Lei Sun, Kin Fung Wong and Zhihai Qiu and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nature Communications and Journal of Hazardous Materials.

In The Last Decade

Danni Li

18 papers receiving 379 citations

Author Peers

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

Author Last Decade Papers Cites
Danni Li 269 81 68 43 42 19 390
Martin Rausch 119 0.4× 93 1.1× 38 0.6× 68 1.6× 40 1.0× 20 399
Xing Wu 78 0.3× 59 0.7× 124 1.8× 47 1.1× 43 1.0× 19 358
Werner Hintz 125 0.5× 46 0.6× 107 1.6× 11 0.3× 70 1.7× 22 429
Wen Meng 108 0.4× 46 0.6× 230 3.4× 27 0.6× 14 0.3× 18 383
Irene Morales 152 0.6× 19 0.2× 93 1.4× 75 1.7× 36 0.9× 42 442
Wei Cai 44 0.2× 44 0.5× 84 1.2× 77 1.8× 69 1.6× 23 350
Miho Tamai 131 0.5× 34 0.4× 48 0.7× 26 0.6× 113 2.7× 33 427
Xiushan Fan 92 0.3× 38 0.5× 65 1.0× 11 0.3× 54 1.3× 26 338
Robin Bonomi 121 0.4× 56 0.7× 59 0.9× 15 0.3× 72 1.7× 22 352
Panmiao Liu 100 0.4× 14 0.2× 65 1.0× 20 0.5× 37 0.9× 23 338

Countries citing papers authored by Danni Li

Since Specialization
Citations

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

Fields of papers citing papers by Danni Li

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Danni Li

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