Jing Yang

325 total papers · 9.2k total citations
232 papers, 7.6k citations indexed

About

Jing Yang is a scholar working on Biomedical Engineering, Molecular Biology and Biomaterials. According to data from OpenAlex, Jing Yang has authored 232 papers receiving a total of 7.6k indexed citations (citations by other indexed papers that have themselves been cited), including 65 papers in Biomedical Engineering, 43 papers in Molecular Biology and 40 papers in Biomaterials. Recurrent topics in Jing Yang's work include Advanced Sensor and Energy Harvesting Materials (31 papers), Polymer Surface Interaction Studies (25 papers) and Electrospun Nanofibers in Biomedical Applications (22 papers). Jing Yang is often cited by papers focused on Advanced Sensor and Energy Harvesting Materials (31 papers), Polymer Surface Interaction Studies (25 papers) and Electrospun Nanofibers in Biomedical Applications (22 papers). Jing Yang collaborates with scholars based in China, France and Germany. Jing Yang's co-authors include Lei Zhang, Hongshuang Guo, Chiyu Wen, Yingnan Zhu, Qingsi Li, Weiqiang Zhao, Xiaojie Sui, Jiamin Zhang, Tong Xu and Yakai Feng and has published in prestigious journals such as Chemical Reviews, Proceedings of the National Academy of Sciences and Journal of the American Chemical Society.

In The Last Decade

Jing Yang

213 papers receiving 7.5k citations

Hit Papers

Zwitterionic Biomaterials 2015 2026 2018 2022 2022 2015 2020 2019 2021 100 200 300 400

Author Peers

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

Author Last Decade Papers Cites
Jing Yang 3.0k 2.0k 1.4k 1.3k 1.1k 232 7.6k
Peter Kingshott 3.1k 1.0× 1.9k 1.0× 2.0k 1.4× 782 0.6× 1.3k 1.2× 188 7.8k
Dong Soo Hwang 2.2k 0.7× 2.6k 1.3× 3.1k 2.2× 765 0.6× 1.2k 1.1× 176 8.6k
Anjie Dong 2.8k 0.9× 2.7k 1.4× 609 0.4× 730 0.5× 1.6k 1.5× 206 7.7k
Fanglian Yao 4.5k 1.5× 3.0k 1.5× 801 0.6× 1.9k 1.4× 458 0.4× 162 8.0k
Jianshu Li 3.9k 1.3× 3.6k 1.8× 1.4k 0.9× 1.3k 1.0× 1.8k 1.6× 397 11.6k
Peng Liu 3.1k 1.0× 2.0k 1.0× 868 0.6× 457 0.3× 950 0.9× 179 6.4k
Weifeng Zhao 4.9k 1.6× 2.8k 1.4× 1.8k 1.2× 1.3k 1.0× 758 0.7× 284 11.1k
Xiaoyan Yuan 4.0k 1.3× 5.5k 2.8× 1.5k 1.1× 1.7k 1.3× 758 0.7× 248 9.5k
Dong Keun Han 3.3k 1.1× 3.9k 2.0× 1.5k 1.0× 743 0.6× 1.6k 1.5× 296 9.4k
Jian Yang 4.4k 1.4× 4.0k 2.0× 763 0.5× 916 0.7× 1.1k 1.0× 160 9.8k

Countries citing papers authored by Jing Yang

Since Specialization
Citations

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

Fields of papers citing papers by Jing Yang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jing Yang

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