Li Niu

27 total papers · 990 total citations
20 papers, 880 citations indexed

About

Li Niu is a scholar working on Electrical and Electronic Engineering, Electronic, Optical and Magnetic Materials and Materials Chemistry. According to data from OpenAlex, Li Niu has authored 20 papers receiving a total of 880 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Electrical and Electronic Engineering, 8 papers in Electronic, Optical and Magnetic Materials and 8 papers in Materials Chemistry. Recurrent topics in Li Niu's work include Advancements in Battery Materials (8 papers), Supercapacitor Materials and Fabrication (7 papers) and Graphene research and applications (4 papers). Li Niu is often cited by papers focused on Advancements in Battery Materials (8 papers), Supercapacitor Materials and Fabrication (7 papers) and Graphene research and applications (4 papers). Li Niu collaborates with scholars based in China, United States and Germany. Li Niu's co-authors include Hongyan Li, Faxing Wang, Xinliang Feng, Xiaodong Zhuang, Yang Hou, Martin R. Lohe, Dongxue Han, Tongshun Wu, Fenghua Li and Liansheng Jiao and has published in prestigious journals such as Analytical Chemistry, Advanced Energy Materials and Journal of Power Sources.

In The Last Decade

Li Niu

17 papers receiving 870 citations

Hit Papers

Flexible All‐Solid‐State ... 2016 2026 2019 2022 2016 100 200 300 400

Author Peers

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

Author Last Decade Papers Cites
Li Niu 554 462 459 222 91 20 880
Tianbing Song 410 0.7× 283 0.6× 701 1.5× 61 0.3× 107 1.2× 30 982
Xin Wu 216 0.4× 185 0.4× 603 1.3× 96 0.4× 94 1.0× 28 792
Luting Ling 768 1.4× 105 0.2× 276 0.6× 193 0.9× 72 0.8× 23 1.0k
Inho Cho 178 0.3× 564 1.2× 516 1.1× 102 0.5× 191 2.1× 23 782
Junkai Han 628 1.1× 145 0.3× 369 0.8× 90 0.4× 41 0.5× 14 913
Henghan Dai 537 1.0× 411 0.9× 640 1.4× 148 0.7× 154 1.7× 31 944
Youn-Su Kim 406 0.7× 284 0.6× 407 0.9× 210 0.9× 101 1.1× 14 796
Rekha Narayan 615 1.1× 303 0.7× 424 0.9× 272 1.2× 173 1.9× 19 1.0k
Xifan Chen 529 1.0× 246 0.5× 583 1.3× 67 0.3× 202 2.2× 28 883
Zheng‐Hong Huang 228 0.4× 470 1.0× 692 1.5× 176 0.8× 102 1.1× 35 907

Countries citing papers authored by Li Niu

Since Specialization
Citations

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

Fields of papers citing papers by Li Niu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Li Niu

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