Xinya Lu

2.2k citations
56 papers · 1.7k indexed · h-index 26

Impact in

Papers in

Xinya Lu

55 papers receiving 1.7k citations

Peers

Xinya Lu
Comparison fields: 5 of 145
  • Polymers and Plastics 536
  • Pathology and Forensic Medicine 253
  • Biomaterials 137
  • Infectious Diseases 128
  • Family Practice 15
Replace Charles M. Burns with:
Charles M. Burns Canada
Jenny Kim United States
Girish Modi South Africa
Hiroyuki Imanaka Japan
Xin Gu China
Hee Jung Lee South Korea
Robert Rißmann Netherlands
Yongli Zhang China
Eun Ju Park South Korea
Zhimin Yan China
Xinya Lu relative to Charles M. Burns Canada Charles M. Burns's profile →
Citations per field
00.5×1.5×2.0×
Charles M. Burns · 1×
Citations per year

Countries citing papers authored by Xinya Lu

Since Specialization
Citations

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

Fields of papers citing papers by Xinya Lu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

The 25 scholars most cited alongside Xinya Lu, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Xinya Lu Line = papers co-authored together Xinya Lu links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20244
2 20233
3 20239
4 20224
5 202126
6 20219
7 202138
8 20196
9 201885
10 201821
11 2017104
12 20176
13 201656
14 20159
15 20132
16 201042
17 200747
18 200731
19 19934
20
RELATIONSHIP BETWEEN GLASS TRANSITION TEMPARETURE (Tg) AND MOLECULAR PARAMETERS OF POLYMERS II. Effect of molecular weight on Tg
19901

About Xinya Lu

Xinya Lu is a scholar working on General Materials Science, Polymers and Plastics, Automotive Engineering, Pathology and Forensic Medicine and Geriatrics and Gerontology, having authored 56 papers that have together received 1.7k indexed citations. Recurring topics across this work include Polymer crystallization and properties (11 papers), Fuel Cells and Related Materials (7 papers), Multiple Sclerosis Research Studies (6 papers), Polymer Nanocomposites and Properties (5 papers), Advanced Polymer Synthesis and Characterization (4 papers), Additive Manufacturing and 3D Printing Technologies (4 papers), SARS-CoV-2 and COVID-19 Research (3 papers) and Influenza Virus Research Studies (3 papers). The work is most often cited by research in Polymers and Plastics (536 citations), Pathology and Forensic Medicine (253 citations), Biomaterials (137 citations), Infectious Diseases (128 citations) and Family Practice (15 citations). Xinya Lu has collaborated with scholars based in Canada, China and United States. Frequent co-authors include Warren P. Steckle, Bingzheng Jiang, Yinshan Zhao, Yan Zhou, Feng Zhu, Helen Tremlett, Charity Evans, Elaine Kingwell, Ruth Ann Marrie and Qiang Liu. Their work appears in journals such as Macromolecules, Multiple Sclerosis and Related Disorders, Journal of Virology, Polymer and Canadian Journal of Diabetes.

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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