Lingmei Ni

42 total papers · 912 total citations
24 papers, 788 citations indexed

About

Lingmei Ni is a scholar working on Renewable Energy, Sustainability and the Environment, Electrical and Electronic Engineering and Materials Chemistry. According to data from OpenAlex, Lingmei Ni has authored 24 papers receiving a total of 788 indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Renewable Energy, Sustainability and the Environment, 13 papers in Electrical and Electronic Engineering and 10 papers in Materials Chemistry. Recurrent topics in Lingmei Ni's work include Electrocatalysts for Energy Conversion (19 papers), Fuel Cells and Related Materials (8 papers) and Catalytic Processes in Materials Science (8 papers). Lingmei Ni is often cited by papers focused on Electrocatalysts for Energy Conversion (19 papers), Fuel Cells and Related Materials (8 papers) and Catalytic Processes in Materials Science (8 papers). Lingmei Ni collaborates with scholars based in Germany, Switzerland and China. Lingmei Ni's co-authors include Ulrike I. Kramm, Stephan Wagner, Stephen Paul, Eckhard Bill, Vera Krewald, Charlotte Gallenkamp, Ruihu Lu, Yan Zhao, Robert W. Stark and Jian Xie and has published in prestigious journals such as Journal of the American Chemical Society, Advanced Materials and Angewandte Chemie International Edition.

In The Last Decade

Lingmei Ni

23 papers receiving 784 citations

Hit Papers

Hierarchically Porous Car... 2023 2026 2024 2023 40 80 120

Author Peers

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

Author Last Decade Papers Cites
Lingmei Ni 650 473 288 85 74 24 788
Sanzhao Song 661 1.0× 484 1.0× 369 1.3× 134 1.6× 76 1.0× 29 873
Lixin Su 741 1.1× 536 1.1× 337 1.2× 107 1.3× 83 1.1× 21 848
Zhengxing Lv 494 0.8× 469 1.0× 361 1.3× 95 1.1× 78 1.1× 26 812
Jeonghyeon Kim 746 1.1× 470 1.0× 380 1.3× 100 1.2× 78 1.1× 21 830
Pabitra Choudhury 359 0.6× 438 0.9× 438 1.5× 57 0.7× 84 1.1× 35 770
Jingyi Han 600 0.9× 397 0.8× 263 0.9× 138 1.6× 68 0.9× 25 704
Xinyu Zhang 513 0.8× 339 0.7× 370 1.3× 90 1.1× 72 1.0× 27 683
Zhaojun Liu 677 1.0× 468 1.0× 355 1.2× 136 1.6× 70 0.9× 27 879
Huaming You 637 1.0× 424 0.9× 387 1.3× 152 1.8× 47 0.6× 15 800
Danye Liu 658 1.0× 474 1.0× 373 1.3× 138 1.6× 86 1.2× 19 834

Countries citing papers authored by Lingmei Ni

Since Specialization
Citations

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

Fields of papers citing papers by Lingmei Ni

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Lingmei Ni

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