Gladys Wong

9 total papers · 793 total citations
8 papers, 606 citations indexed

About

Gladys Wong is a scholar working on Automotive Engineering, Biomaterials and Speech and Hearing. According to data from OpenAlex, Gladys Wong has authored 8 papers receiving a total of 606 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Automotive Engineering, 3 papers in Biomaterials and 2 papers in Speech and Hearing. Recurrent topics in Gladys Wong's work include Additive Manufacturing and 3D Printing Technologies (4 papers), biodegradable polymer synthesis and properties (2 papers) and Electrospun Nanofibers in Biomedical Applications (2 papers). Gladys Wong is often cited by papers focused on Additive Manufacturing and 3D Printing Technologies (4 papers), biodegradable polymer synthesis and properties (2 papers) and Electrospun Nanofibers in Biomedical Applications (2 papers). Gladys Wong collaborates with scholars based in Singapore and China. Gladys Wong's co-authors include Chee Kai Chua, Jia An, Aakanksha Pant, Michinao Hashimoto, U-Xuan Tan, Amelia Yilin Lee, Cheng Pau Lee, Yi Zhang, Yi Zhang and Rahul Karyappa and has published in prestigious journals such as Food Hydrocolloids, Materials Today Proceedings and Virtual and Physical Prototyping.

In The Last Decade

Gladys Wong

7 papers receiving 605 citations

Hit Papers

3D food printing of fresh... 2020 2026 2022 2024 2020 50 100 150 200 250

Author Peers

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

Author Last Decade Papers Cites
Gladys Wong 354 218 144 139 77 8 606
Cheng Pau Lee 327 0.9× 223 1.0× 142 1.0× 137 1.0× 68 0.9× 14 573
Aakanksha Pant 238 0.7× 219 1.0× 122 0.8× 127 0.9× 67 0.9× 20 693
Asta Nurmela 341 1.0× 231 1.1× 101 0.7× 129 0.9× 7 0.1× 11 498
Xiuxiu Teng 213 0.6× 202 0.9× 202 1.4× 91 0.7× 7 0.1× 22 562
Ilde Ricci 147 0.4× 142 0.7× 112 0.8× 59 0.4× 4 0.1× 19 508
Yaxin Wen 180 0.5× 120 0.6× 218 1.5× 64 0.5× 4 0.1× 17 542
Wenhui Ma 49 0.1× 28 0.1× 280 1.9× 29 0.2× 30 0.4× 21 571
Manoel Divino da Matta 76 0.2× 89 0.4× 325 2.3× 236 1.7× 6 0.1× 17 676
Gabrielle Moulin 49 0.1× 54 0.2× 286 2.0× 35 0.3× 4 0.1× 24 530
Saliha Moutaharrik 171 0.5× 239 1.1× 43 0.3× 75 0.5× 6 0.1× 30 544

Countries citing papers authored by Gladys Wong

Since Specialization
Citations

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

Fields of papers citing papers by Gladys Wong

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Gladys Wong

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