Yongkun Yan

39 total papers · 954 total citations
26 papers, 836 citations indexed

About

Yongkun Yan is a scholar working on Electrical and Electronic Engineering, Polymers and Plastics and Biomedical Engineering. According to data from OpenAlex, Yongkun Yan has authored 26 papers receiving a total of 836 indexed citations (citations by other indexed papers that have themselves been cited), including 22 papers in Electrical and Electronic Engineering, 13 papers in Polymers and Plastics and 6 papers in Biomedical Engineering. Recurrent topics in Yongkun Yan's work include Organic Electronics and Photovoltaics (17 papers), Conducting polymers and applications (13 papers) and Advanced Sensor and Energy Harvesting Materials (5 papers). Yongkun Yan is often cited by papers focused on Organic Electronics and Photovoltaics (17 papers), Conducting polymers and applications (13 papers) and Advanced Sensor and Energy Harvesting Materials (5 papers). Yongkun Yan collaborates with scholars based in China, United Kingdom and Singapore. Yongkun Yan's co-authors include Yue Cao, Qian Zhang, Qian Shi, He Tian, Zhijun Ning, Z. Chen, Yan Zhao, Yunqi Liu, Zeng Wu and Yangjiang Wu and has published in prestigious journals such as Angewandte Chemie International Edition, Advanced Functional Materials and Journal of Hazardous Materials.

In The Last Decade

Yongkun Yan

26 papers receiving 832 citations

Hit Papers

Aggregation‐induced Emiss... 2007 2026 2013 2019 2007 100 200 300 400 500

Author Peers

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

Author Last Decade Papers Cites
Yongkun Yan 535 437 224 189 132 26 836
Xiaohui Wang 624 1.2× 325 0.7× 168 0.8× 119 0.6× 171 1.3× 39 816
Jean‐Yves Balandier 315 0.6× 453 1.0× 62 0.3× 236 1.2× 289 2.2× 27 988
Suilian Luo 575 1.1× 508 1.2× 160 0.7× 121 0.6× 117 0.9× 31 800
Kai Chang 492 0.9× 443 1.0× 149 0.7× 145 0.8× 103 0.8× 28 759
Yuvraj Patil 400 0.7× 543 1.2× 95 0.4× 354 1.9× 149 1.1× 38 810
S. Yunus 304 0.6× 248 0.6× 115 0.5× 193 1.0× 82 0.6× 26 790
Christopher M. Tonge 534 1.0× 406 0.9× 70 0.3× 98 0.5× 185 1.4× 24 709
Ciarán B. McArdle 333 0.6× 58 0.1× 76 0.3× 163 0.9× 398 3.0× 24 866
Marco Squillaci 559 1.0× 345 0.8× 32 0.1× 81 0.4× 90 0.7× 22 918
Xinyan Su 525 1.0× 171 0.4× 66 0.3× 243 1.3× 166 1.3× 35 864

Countries citing papers authored by Yongkun Yan

Since Specialization
Citations

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

Fields of papers citing papers by Yongkun Yan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yongkun Yan

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