Dahui Liu

45 total papers · 776 total citations
32 papers, 535 citations indexed

About

Dahui Liu is a scholar working on Materials Chemistry, Control and Systems Engineering and Biomedical Engineering. According to data from OpenAlex, Dahui Liu has authored 32 papers receiving a total of 535 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Materials Chemistry, 7 papers in Control and Systems Engineering and 7 papers in Biomedical Engineering. Recurrent topics in Dahui Liu's work include Nonlinear Optical Materials Studies (6 papers), Machine Learning in Materials Science (5 papers) and Traffic control and management (4 papers). Dahui Liu is often cited by papers focused on Nonlinear Optical Materials Studies (6 papers), Machine Learning in Materials Science (5 papers) and Traffic control and management (4 papers). Dahui Liu collaborates with scholars based in China, United States and Australia. Dahui Liu's co-authors include Yue Liu, Siqi Shi, Zhengwei Yang, Maxim Avdeev, Shuchang Ma, Bing Gu, Yiping Cui, Ming‐Qing Li, Zhenyao Yu and Ning Sheng and has published in prestigious journals such as Applied Physics Letters, Journal of Applied Physics and Journal of Power Sources.

In The Last Decade

Dahui Liu

31 papers receiving 504 citations

Hit Papers

Generative artificial int... 2023 2026 2024 2023 50 100 150

Author Peers

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

Author Last Decade Papers Cites
Dahui Liu 263 115 101 69 62 32 535
Qiu Li 278 1.1× 125 1.1× 77 0.8× 32 0.5× 137 2.2× 74 614
Long Chen 201 0.8× 147 1.3× 79 0.8× 36 0.5× 71 1.1× 41 537
Mahdi Mir 150 0.6× 212 1.8× 111 1.1× 39 0.6× 33 0.5× 32 605
Guangmin Li 191 0.7× 163 1.4× 89 0.9× 61 0.9× 103 1.7× 35 485
Feng Li 146 0.6× 124 1.1× 42 0.4× 67 1.0× 110 1.8× 34 529
Zhichao He 218 0.8× 253 2.2× 62 0.6× 56 0.8× 72 1.2× 58 608
Liyong Wang 157 0.6× 156 1.4× 144 1.4× 26 0.4× 80 1.3× 39 544
Tao Li 217 0.8× 334 2.9× 76 0.8× 118 1.7× 52 0.8× 30 598
Daylond Hooper 379 1.4× 103 0.9× 130 1.3× 45 0.7× 96 1.5× 13 573
Rui Wan 112 0.4× 109 0.9× 47 0.5× 52 0.8× 110 1.8× 45 605

Countries citing papers authored by Dahui Liu

Since Specialization
Citations

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

Fields of papers citing papers by Dahui Liu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Dahui Liu

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