Mei Xiang

71 total papers · 807 total citations
46 papers, 632 citations indexed

About

Mei Xiang is a scholar working on Materials Chemistry, Biomedical Engineering and Mechanical Engineering. According to data from OpenAlex, Mei Xiang has authored 46 papers receiving a total of 632 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Materials Chemistry, 14 papers in Biomedical Engineering and 9 papers in Mechanical Engineering. Recurrent topics in Mei Xiang's work include Catalysis for Biomass Conversion (12 papers), Catalytic Processes in Materials Science (8 papers) and Catalysis and Hydrodesulfurization Studies (8 papers). Mei Xiang is often cited by papers focused on Catalysis for Biomass Conversion (12 papers), Catalytic Processes in Materials Science (8 papers) and Catalysis and Hydrodesulfurization Studies (8 papers). Mei Xiang collaborates with scholars based in China, United Kingdom and United States. Mei Xiang's co-authors include Dongfang Wu, Tiandi Tang, Wenqian Fu, Yaoyao Deng, Pei Yu, Mingyang He, Xue Li, Dongfang Wu, Quanfa Zhou and Jirong Bai and has published in prestigious journals such as Scientific Reports, Chemical Engineering Journal and Journal of Colloid and Interface Science.

In The Last Decade

Mei Xiang

43 papers receiving 626 citations

Author Peers

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

Author						Papers	Cites
Mei Xiang	221	215	214	113	111	46	632
Fukun Li	413 1.9×	220 1.0×	209 1.0×	154 1.4×	99 0.9×	40	652
Cuiqing Li	199 0.9×	199 0.9×	303 1.4×	102 0.9×	93 0.8×	52	632
Joyee Mitra	237 1.1×	160 0.7×	147 0.7×	154 1.4×	138 1.2×	37	567
Mustapha Soukri	221 1.0×	312 1.5×	221 1.0×	158 1.4×	90 0.8×	37	770
Georgia Papanikolaou	237 1.1×	167 0.8×	284 1.3×	119 1.1×	189 1.7×	36	652
Valentin Yu. Doluda	197 0.9×	137 0.6×	306 1.4×	250 2.2×	74 0.7×	75	604
Mengqi Liu	208 0.9×	172 0.8×	214 1.0×	172 1.5×	99 0.9×	32	638
Sara Tarighi	231 1.0×	131 0.6×	285 1.3×	81 0.7×	96 0.9×	36	676
Yaocihuatl Medina‐González	286 1.3×	186 0.9×	190 0.9×	109 1.0×	165 1.5×	30	716
Kairui Liu	381 1.7×	302 1.4×	211 1.0×	240 2.1×	122 1.1×	39	753

Countries citing papers authored by Mei Xiang

Since Specialization

Citations

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

Fields of papers citing papers by Mei Xiang

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mei Xiang

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