Liang Wu

301 total papers · 14.6k total citations
253 papers, 12.2k citations indexed

About

Liang Wu is a scholar working on Electrical and Electronic Engineering, Biomedical Engineering and Renewable Energy, Sustainability and the Environment. According to data from OpenAlex, Liang Wu has authored 253 papers receiving a total of 12.2k indexed citations (citations by other indexed papers that have themselves been cited), including 198 papers in Electrical and Electronic Engineering, 140 papers in Biomedical Engineering and 77 papers in Renewable Energy, Sustainability and the Environment. Recurrent topics in Liang Wu's work include Fuel Cells and Related Materials (173 papers), Membrane-based Ion Separation Techniques (127 papers) and Advanced battery technologies research (82 papers). Liang Wu is often cited by papers focused on Fuel Cells and Related Materials (173 papers), Membrane-based Ion Separation Techniques (127 papers) and Advanced battery technologies research (82 papers). Liang Wu collaborates with scholars based in China, United Kingdom and Australia. Liang Wu's co-authors include Tongwen Xu, Zhengjin Yang, Jin Ran, Liang Ge, Xiaolin Ge, Yubin He, Xian Liang, Erigène Bakangura, Bin Wu and Chenxiao Jiang and has published in prestigious journals such as Nature, Journal of the American Chemical Society and Physical Review Letters.

In The Last Decade

Liang Wu

241 papers receiving 12.1k citations

Hit Papers

Ion exchange membranes: N... 2016 2026 2019 2022 2016 2023 200 400 600

Author Peers

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

Author Last Decade Papers Cites
Liang Wu 9.5k 6.8k 3.2k 1.8k 1.7k 253 12.2k
Kitty Nijmeijer 7.9k 0.8× 8.1k 1.2× 2.4k 0.8× 1.5k 0.8× 5.8k 3.4× 183 13.5k
S. Sampath 5.0k 0.5× 3.0k 0.4× 2.7k 0.8× 4.1k 2.2× 634 0.4× 240 11.2k
Haitao Wang 3.7k 0.4× 2.1k 0.3× 3.1k 1.0× 4.4k 2.4× 981 0.6× 291 9.6k
Wenchao Peng 5.7k 0.6× 2.2k 0.3× 5.5k 1.7× 5.9k 3.2× 1.8k 1.1× 293 11.8k
Zhuo Sun 5.7k 0.6× 3.6k 0.5× 2.7k 0.8× 4.1k 2.3× 2.3k 1.3× 194 9.8k
Lin Zhuang 11.9k 1.3× 3.8k 0.6× 10.1k 3.2× 4.2k 2.3× 402 0.2× 236 16.4k
Zheng‐Hong Huang 7.4k 0.8× 2.9k 0.4× 3.2k 1.0× 5.2k 2.8× 1.4k 0.8× 256 13.7k
Jianhui Fang 3.9k 0.4× 1.7k 0.2× 2.5k 0.8× 3.4k 1.8× 838 0.5× 183 8.8k
Andrew M. Herring 5.5k 0.6× 3.1k 0.5× 3.4k 1.1× 1.9k 1.1× 263 0.2× 174 8.2k
Tao Zhang 5.2k 0.5× 1.7k 0.2× 4.0k 1.3× 5.6k 3.1× 641 0.4× 225 11.6k

Countries citing papers authored by Liang Wu

Since Specialization
Citations

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

Fields of papers citing papers by Liang Wu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Liang Wu

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