Wei Liang

219 total papers · 6.8k total citations
183 papers, 5.9k citations indexed

About

Wei Liang is a scholar working on Materials Chemistry, Electrical and Electronic Engineering and Renewable Energy, Sustainability and the Environment. According to data from OpenAlex, Wei Liang has authored 183 papers receiving a total of 5.9k indexed citations (citations by other indexed papers that have themselves been cited), including 101 papers in Materials Chemistry, 65 papers in Electrical and Electronic Engineering and 58 papers in Renewable Energy, Sustainability and the Environment. Recurrent topics in Wei Liang's work include Advanced Photocatalysis Techniques (50 papers), Copper-based nanomaterials and applications (24 papers) and Supercapacitor Materials and Fabrication (20 papers). Wei Liang is often cited by papers focused on Advanced Photocatalysis Techniques (50 papers), Copper-based nanomaterials and applications (24 papers) and Supercapacitor Materials and Fabrication (20 papers). Wei Liang collaborates with scholars based in China, United States and Australia. Wei Liang's co-authors include Kewei Gao, Litao Kang, Xiaolu Pang, Hongjie Luo, Mangwei Cui, Yanfeng Gao, Fuyi Jiang, Jianjun Liu, Chunyi Zhi and Qian Li and has published in prestigious journals such as ACS Nano, Applied Physics Letters and Gastroenterology.

In The Last Decade

Wei Liang

170 papers receiving 5.8k citations

Hit Papers

Nanoporous CaCO3 Coatings... 2018 2026 2020 2023 2018 250 500 750 1000

Author Peers

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

Author Last Decade Papers Cites
Wei Liang 2.9k 2.4k 1.7k 984 890 183 5.9k
Songmei Li 3.2k 1.1× 1.9k 0.8× 820 0.5× 666 0.7× 975 1.1× 205 5.3k
Jianqing Zhang 2.1k 0.7× 1.7k 0.7× 982 0.6× 756 0.8× 750 0.8× 143 5.9k
Hang Su 2.1k 0.7× 1.4k 0.6× 787 0.5× 711 0.7× 1.6k 1.8× 197 4.5k
Xingpeng Guo 3.5k 1.2× 1.9k 0.8× 1.2k 0.7× 507 0.5× 683 0.8× 203 5.7k
Marco Musiani 4.2k 1.4× 2.4k 1.0× 1.3k 0.8× 477 0.5× 892 1.0× 118 7.2k
Weixing Chen 2.7k 0.9× 3.1k 1.3× 738 0.4× 2.7k 2.7× 1.2k 1.4× 154 6.3k
Shougang Chen 2.7k 0.9× 2.1k 0.9× 846 0.5× 914 0.9× 383 0.4× 125 5.6k
Xin Wang 1.8k 0.6× 1.8k 0.7× 490 0.3× 1.6k 1.6× 468 0.5× 116 4.0k
Jacek Ryl 2.4k 0.8× 1.5k 0.6× 1.1k 0.6× 464 0.5× 400 0.4× 230 4.6k
Xingbo Liu 4.2k 1.4× 3.4k 1.4× 871 0.5× 1.4k 1.4× 1.3k 1.5× 210 7.7k

Countries citing papers authored by Wei Liang

Since Specialization
Citations

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

Fields of papers citing papers by Wei Liang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Wei Liang

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