Fangxu Dai

33 total papers · 710 total citations
26 papers, 576 citations indexed

About

Fangxu Dai is a scholar working on Materials Chemistry, Renewable Energy, Sustainability and the Environment and Electrical and Electronic Engineering. According to data from OpenAlex, Fangxu Dai has authored 26 papers receiving a total of 576 indexed citations (citations by other indexed papers that have themselves been cited), including 21 papers in Materials Chemistry, 16 papers in Renewable Energy, Sustainability and the Environment and 10 papers in Electrical and Electronic Engineering. Recurrent topics in Fangxu Dai's work include Advanced Photocatalysis Techniques (15 papers), Copper-based nanomaterials and applications (9 papers) and Perovskite Materials and Applications (5 papers). Fangxu Dai is often cited by papers focused on Advanced Photocatalysis Techniques (15 papers), Copper-based nanomaterials and applications (9 papers) and Perovskite Materials and Applications (5 papers). Fangxu Dai collaborates with scholars based in China and Canada. Fangxu Dai's co-authors include Lei Wang, Jishu Han, Ruiyang Zhao, Mingming Zhang, Ying Liu, Jun Xing, Shouhua Feng, Zhenjiang Li, Shouhua Feng and Ying Liu and has published in prestigious journals such as Nature Communications, SHILAP Revista de lepidopterología and Advanced Functional Materials.

In The Last Decade

Fangxu Dai

25 papers receiving 571 citations

Author Peers

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

Author Last Decade Papers Cites
Fangxu Dai 473 427 217 62 35 26 576
Zhiyuan Peng 475 1.0× 495 1.2× 264 1.2× 34 0.5× 29 0.8× 25 604
Yu Lei Wang 454 1.0× 522 1.2× 231 1.1× 44 0.7× 58 1.7× 23 661
Zhihao Zeng 418 0.9× 563 1.3× 280 1.3× 42 0.7× 33 0.9× 18 615
Chenwei Ni 388 0.8× 436 1.0× 158 0.7× 45 0.7× 47 1.3× 19 548
Tomoki Kanazawa 419 0.9× 512 1.2× 151 0.7× 51 0.8× 50 1.4× 32 590
Xiaomin Guo 505 1.1× 543 1.3× 308 1.4× 44 0.7× 74 2.1× 27 678
Jinyan Du 441 0.9× 509 1.2× 258 1.2× 28 0.5× 26 0.7× 21 638
Liuqing Yang 377 0.8× 446 1.0× 160 0.7× 34 0.5× 37 1.1× 18 510
A. Putta Rangappa 507 1.1× 563 1.3× 178 0.8× 41 0.7× 33 0.9× 28 619
Qiong Zhu 374 0.8× 437 1.0× 180 0.8× 88 1.4× 58 1.7× 27 604

Countries citing papers authored by Fangxu Dai

Since Specialization
Citations

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

Fields of papers citing papers by Fangxu Dai

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Fangxu Dai

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