Xiu‐Mei Chen

1.5k citations
67 papers · 1.3k · h-index 19

Impact in

Papers in

Xiu‐Mei Chen

63 papers receiving 1.2k citations

Peers

Xiu‐Mei Chen
Comparison fields: 5 of 141
  • Aquatic Science 135
  • Statistics and Probability 123
  • Organic Chemistry 318
  • Immunology 166
  • Biochemistry 40
Replace Thomas J. Vidmar with:
Thomas J. Vidmar United States
Vinícius Gonçalves Maltarollo Brazil
Si Zhang China
Káthia M. Honório Brazil
David Allen United States
Andre Raw United States
Chihae Yang United States
Edward W. Lowe United States
D. W. Hutchinson United Kingdom
M. Mulholland Australia
Xiu‐Mei Chen relative to Thomas J. Vidmar United States Thomas J. Vidmar's profile →
Citations per field
00.5×10×16.9×
Thomas J. Vidmar · 1×
Citations per year

Countries citing papers authored by Xiu‐Mei Chen

Since Specialization
Citations

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

Fields of papers citing papers by Xiu‐Mei Chen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Xiu‐Mei Chen. 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 Xiu‐Mei Chen. The network helps show where Xiu‐Mei Chen may publish in the future.

Co-authors

The 25 scholars most cited alongside Xiu‐Mei Chen, 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 Xiu‐Mei Chen Line = papers co-authored together Xiu‐Mei Chen links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 67 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2018246
2 2017103
3 201870
4 201669
5 201667
6 201965
7 201949
8 201541
9 201538
10 201334
11 200933
12 202429
13 200926
14 201025
15 202024
16 202421
17 202119
18 200919
19 201718
20 202217

About Xiu‐Mei Chen

Xiu‐Mei Chen is a scholar working on Organic Chemistry, Electrical and Electronic Engineering, Materials Chemistry, Molecular Biology and Statistics and Probability, having authored 67 papers that have together received 1.3k indexed citations. Recurring topics across this work include Fuzzy Systems and Optimization (7 papers), Multi-Criteria Decision Making (6 papers), Phase-change materials and chalcogenides (4 papers), Multicomponent Synthesis of Heterocycles (4 papers), COVID-19 and Mental Health (4 papers), Electrochemical sensors and biosensors (4 papers), Aquaculture disease management and microbiota (4 papers) and Photorefractive and Nonlinear Optics (3 papers). The work is most often cited by research in Aquatic Science (135 citations), Statistics and Probability (123 citations), Organic Chemistry (318 citations), Immunology (166 citations) and Biochemistry (40 citations). Xiu‐Mei Chen has collaborated with scholars based in China, Taiwan and South Korea. Frequent co-authors include Yufu Ning, Xiaotian Niu, Xiao Wang, Guiqin Wang, Xueli Luo, Wenzhi Tang, Wengang Zhang, Yong Han, Zhonghong Li and Jianlong Wang. Their work appears in journals such as Journal of Intelligent & Fuzzy Systems, Fish & Shellfish Immunology, Symmetry, Aquaculture and Journal of Crystal Growth.

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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