Mei Ni

10 total papers · 684 total citations
10 papers, 594 citations indexed

About

Mei Ni is a scholar working on Electrical and Electronic Engineering, Electronic, Optical and Magnetic Materials and Renewable Energy, Sustainability and the Environment. According to data from OpenAlex, Mei Ni has authored 10 papers receiving a total of 594 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Electrical and Electronic Engineering, 6 papers in Electronic, Optical and Magnetic Materials and 5 papers in Renewable Energy, Sustainability and the Environment. Recurrent topics in Mei Ni's work include Supercapacitor Materials and Fabrication (6 papers), Electrocatalysts for Energy Conversion (5 papers) and Advancements in Battery Materials (5 papers). Mei Ni is often cited by papers focused on Supercapacitor Materials and Fabrication (6 papers), Electrocatalysts for Energy Conversion (5 papers) and Advancements in Battery Materials (5 papers). Mei Ni collaborates with scholars based in China. Mei Ni's co-authors include Wen Yang, Lei Zhou, Renjie Chen, Wellars Utetiwabo, Xiaoling Zhang, Xiaoling Zhang, Yafen Tian, Ning Li, Yuefeng Su and Xin Ren and has published in prestigious journals such as Chemical Communications, Chemical Engineering Journal and ACS Applied Materials & Interfaces.

In The Last Decade

Mei Ni

10 papers receiving 580 citations

Author Peers

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

Author						Papers	Cites
Mei Ni	434	301	171	97	70	10	594
Santhi Maria Benoy	427 1.0×	531 1.8×	167 1.0×	122 1.3×	88 1.3×	13	688
Davi Marcelo Soares	371 0.9×	229 0.8×	211 1.2×	73 0.8×	58 0.8×	17	527
Mingtao Zheng	402 0.9×	357 1.2×	103 0.6×	57 0.6×	55 0.8×	14	548
Ruinan Xue	332 0.8×	291 1.0×	149 0.9×	83 0.9×	52 0.7×	11	503
Qingling Jing	416 1.0×	209 0.7×	248 1.5×	68 0.7×	64 0.9×	9	636
Arjunan Ariharan	278 0.6×	250 0.8×	299 1.7×	58 0.6×	71 1.0×	19	560
X. Yin	417 1.0×	311 1.0×	198 1.2×	47 0.5×	40 0.6×	12	649
Yaomin Zhao	342 0.8×	232 0.8×	125 0.7×	145 1.5×	107 1.5×	12	501
Steven M. Boyer	285 0.7×	252 0.8×	216 1.3×	141 1.5×	90 1.3×	11	617
Sunaina Saini	406 0.9×	499 1.7×	142 0.8×	124 1.3×	82 1.2×	14	610

Countries citing papers authored by Mei Ni

Since Specialization

Citations

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

Fields of papers citing papers by Mei Ni

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mei Ni

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