Weixing Wu

25 total papers · 873 total citations
20 papers, 692 citations indexed

About

Weixing Wu is a scholar working on Electrical and Electronic Engineering, Renewable Energy, Sustainability and the Environment and Electronic, Optical and Magnetic Materials. According to data from OpenAlex, Weixing Wu has authored 20 papers receiving a total of 692 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Electrical and Electronic Engineering, 13 papers in Renewable Energy, Sustainability and the Environment and 5 papers in Electronic, Optical and Magnetic Materials. Recurrent topics in Weixing Wu's work include Advanced battery technologies research (11 papers), Electrocatalysts for Energy Conversion (7 papers) and CO2 Reduction Techniques and Catalysts (6 papers). Weixing Wu is often cited by papers focused on Advanced battery technologies research (11 papers), Electrocatalysts for Energy Conversion (7 papers) and CO2 Reduction Techniques and Catalysts (6 papers). Weixing Wu collaborates with scholars based in China, Hong Kong and Germany. Weixing Wu's co-authors include Xihong Lu, Minghao Yu, Haozhe Zhang, Xiaoqing Liu, Xin Shi, Fan Yang, Qiyu Liu, Ying Wang, Faxing Wang and Panpan Zhang 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

Weixing Wu

17 papers receiving 683 citations

Hit Papers

Breaking the Activity‐Sta... 2025 2026 2025 5 10 15 20 25

Author Peers

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

Author Last Decade Papers Cites
Weixing Wu 565 214 186 105 100 20 692
Xintao Zuo 539 1.0× 150 0.7× 158 0.8× 91 0.9× 220 2.2× 30 709
Xinxin Niu 526 0.9× 118 0.6× 373 2.0× 59 0.6× 142 1.4× 20 697
Fei Xu 522 0.9× 135 0.6× 318 1.7× 110 1.0× 115 1.1× 16 698
Xuelong Liao 377 0.7× 86 0.4× 285 1.5× 63 0.6× 107 1.1× 19 557
Shuyu Bu 451 0.8× 99 0.5× 329 1.8× 65 0.6× 154 1.5× 19 663
Zeheng Lin 607 1.1× 150 0.7× 185 1.0× 155 1.5× 153 1.5× 19 744
Andrew A. Wong 546 1.0× 122 0.6× 363 2.0× 188 1.8× 68 0.7× 23 682
Chao Deng 537 1.0× 189 0.9× 364 2.0× 56 0.5× 163 1.6× 40 684
Changfan Xu 494 0.9× 117 0.5× 276 1.5× 51 0.5× 146 1.5× 21 596
Salatan Duangdangchote 617 1.1× 167 0.8× 270 1.5× 195 1.9× 157 1.6× 35 781

Countries citing papers authored by Weixing Wu

Since Specialization
Citations

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

Fields of papers citing papers by Weixing Wu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Weixing Wu

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