Xiaoyan Dai

37 total papers · 1.1k total citations
27 papers, 1000 citations indexed

About

Xiaoyan Dai is a scholar working on Materials Chemistry, Radiology, Nuclear Medicine and Imaging and Catalysis. According to data from OpenAlex, Xiaoyan Dai has authored 27 papers receiving a total of 1000 indexed citations (citations by other indexed papers that have themselves been cited), including 22 papers in Materials Chemistry, 14 papers in Radiology, Nuclear Medicine and Imaging and 13 papers in Catalysis. Recurrent topics in Xiaoyan Dai's work include Catalytic Processes in Materials Science (18 papers), Plasma Applications and Diagnostics (14 papers) and Catalysts for Methane Reforming (11 papers). Xiaoyan Dai is often cited by papers focused on Catalytic Processes in Materials Science (18 papers), Plasma Applications and Diagnostics (14 papers) and Catalysts for Methane Reforming (11 papers). Xiaoyan Dai collaborates with scholars based in China and France. Xiaoyan Dai's co-authors include Yongxiang Yin, Shuyong Shang, Xumei Tao, Huali Long, Wei Chu, Xiang Li, Xuemei Liao, V. Pitchon, Yuliang Li and Min Xi and has published in prestigious journals such as Applied Catalysis B: Environmental, Progress in Energy and Combustion Science and International Journal of Hydrogen Energy.

In The Last Decade

Xiaoyan Dai

27 papers receiving 984 citations

Author Peers

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

Author Last Decade Papers Cites
Xiaoyan Dai 730 468 397 221 158 27 1000
Hajime Kabashima 686 0.9× 199 0.4× 416 1.0× 327 1.5× 176 1.1× 32 1.1k
Federico Azzolina-Jury 790 1.1× 580 1.2× 406 1.0× 260 1.2× 150 0.9× 24 1.2k
Rudolf Metkemeijer 610 0.8× 338 0.7× 349 0.9× 524 2.4× 55 0.3× 15 1.0k
Minh Tuan Nguyen Dinh 727 1.0× 184 0.4× 138 0.3× 234 1.1× 75 0.5× 32 910
Cunhua Ma 546 0.7× 153 0.3× 203 0.5× 252 1.1× 261 1.7× 26 854
Fada Feng 828 1.1× 237 0.5× 394 1.0× 538 2.4× 138 0.9× 34 1.1k
Byung-Ki Na 512 0.7× 169 0.4× 414 1.0× 641 2.9× 264 1.7× 58 1.2k
Sławomir Jodzis 737 1.0× 726 1.6× 323 0.8× 310 1.4× 42 0.3× 36 1.2k
Ronald Schäfer 546 0.7× 232 0.5× 36 0.1× 94 0.4× 556 3.5× 19 1.0k
Qijian Zhang 757 1.0× 589 1.3× 15 0.0× 89 0.4× 234 1.5× 53 1.1k

Countries citing papers authored by Xiaoyan Dai

Since Specialization
Citations

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

Fields of papers citing papers by Xiaoyan Dai

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Xiaoyan Dai

This figure shows the co-authorship network connecting the top 25 collaborators of Xiaoyan Dai. A scholar is included among the top collaborators of Xiaoyan 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 Xiaoyan Dai. Xiaoyan 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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2026