Luyang Zhu

21 total papers · 965 total citations
12 papers, 490 citations indexed

About

Luyang Zhu is a scholar working on Public Health, Environmental and Occupational Health, Computational Mechanics and Pediatrics, Perinatology and Child Health. According to data from OpenAlex, Luyang Zhu has authored 12 papers receiving a total of 490 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Public Health, Environmental and Occupational Health, 4 papers in Computational Mechanics and 3 papers in Pediatrics, Perinatology and Child Health. Recurrent topics in Luyang Zhu's work include Maternal Mental Health During Pregnancy and Postpartum (4 papers), 3D Shape Modeling and Analysis (3 papers) and Child Nutrition and Feeding Issues (2 papers). Luyang Zhu is often cited by papers focused on Maternal Mental Health During Pregnancy and Postpartum (4 papers), 3D Shape Modeling and Analysis (3 papers) and Child Nutrition and Feeding Issues (2 papers). Luyang Zhu collaborates with scholars based in China, United States and Hong Kong. Luyang Zhu's co-authors include Xiaowei Zhou, Georgios Pavlakos, Kostas Daniilidis, Dieter Fox, Shoubhik Debnath, Hammad Mazhar, Arsalan Mousavian, Xiang Yu, Dawei Yang and Ira Kemelmacher-Shlizerman and has published in prestigious journals such as Journal of Lightwave Technology, BMC Pregnancy and Childbirth and Frontiers in Public Health.

In The Last Decade

Luyang Zhu

7 papers receiving 476 citations

Hit Papers

Learning to Estimate 3D H... 2018 2026 2020 2023 2018 100 200 300

Author Peers

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

Author Last Decade Papers Cites
Luyang Zhu 403 213 77 67 58 12 490
Donglai Xiang 445 1.1× 161 0.8× 87 1.1× 45 0.7× 84 1.4× 17 536
Thomas Helten 390 1.0× 152 0.7× 161 2.1× 73 1.1× 21 0.4× 6 496
Junting Dong 453 1.1× 220 1.0× 61 0.8× 60 0.9× 147 2.5× 13 514
R. Plankers 410 1.0× 76 0.4× 154 2.0× 70 1.0× 39 0.7× 11 486
Lin Gui 457 1.1× 86 0.4× 78 1.0× 72 1.1× 25 0.4× 4 522
Emiliano Gambaretto 386 1.0× 49 0.2× 32 0.4× 73 1.1× 162 2.8× 9 491
Arno Zinke 386 1.0× 210 1.0× 111 1.4× 39 0.6× 253 4.4× 21 502
Di Kang 414 1.0× 96 0.5× 60 0.8× 25 0.4× 68 1.2× 22 505
Charles Malleson 340 0.8× 56 0.3× 101 1.3× 84 1.3× 8 0.1× 16 407
Bo Yang 413 1.0× 49 0.2× 33 0.4× 200 3.0× 34 0.6× 11 485

Countries citing papers authored by Luyang Zhu

Since Specialization
Citations

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

Fields of papers citing papers by Luyang Zhu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Luyang Zhu

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