Jingyu Shi

169 total papers · 4.3k total citations
108 papers, 3.4k citations indexed

About

Jingyu Shi is a scholar working on Electrical and Electronic Engineering, Materials Chemistry and Molecular Biology. According to data from OpenAlex, Jingyu Shi has authored 108 papers receiving a total of 3.4k indexed citations (citations by other indexed papers that have themselves been cited), including 34 papers in Electrical and Electronic Engineering, 27 papers in Materials Chemistry and 23 papers in Molecular Biology. Recurrent topics in Jingyu Shi's work include Organic Electronics and Photovoltaics (21 papers), Conducting polymers and applications (20 papers) and Perovskite Materials and Applications (14 papers). Jingyu Shi is often cited by papers focused on Organic Electronics and Photovoltaics (21 papers), Conducting polymers and applications (20 papers) and Perovskite Materials and Applications (14 papers). Jingyu Shi collaborates with scholars based in China, Hong Kong and United States. Jingyu Shi's co-authors include Mo Yang, Feng Tian, Jing Lyu, Chun-Yu Chan, Ziyi Ge, Yu Zhang, Wei Song, Jinfeng Ge, Weiwei Ye and Zhenyu Chen and has published in prestigious journals such as Advanced Materials, Angewandte Chemie International Edition and Genes & Development.

In The Last Decade

Jingyu Shi

106 papers receiving 3.4k citations

Hit Papers

Isomerization strategy on... 2023 2026 2024 2023 2024 50 100 150

Author Peers

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

Author Last Decade Papers Cites
Jingyu Shi 1.3k 1.1k 1.0k 1.0k 609 108 3.4k
Xiaomei Zhao 864 0.7× 1.6k 1.5× 807 0.8× 1.2k 1.2× 239 0.4× 138 4.0k
Wing Cheung Mak 897 0.7× 777 0.7× 608 0.6× 1.2k 1.1× 436 0.7× 100 2.8k
Peng Zhao 1.2k 0.9× 686 0.6× 1.6k 1.5× 879 0.9× 516 0.8× 116 3.6k
Jing Han 1.8k 1.4× 1.1k 1.1× 1.5k 1.5× 1.3k 1.2× 276 0.5× 147 4.1k
María Carmen Blanco‐López 1.5k 1.2× 806 0.7× 592 0.6× 1.5k 1.4× 179 0.3× 102 3.7k
Ye Qi 623 0.5× 1.5k 1.4× 1.8k 1.7× 1.5k 1.5× 401 0.7× 92 4.3k
Min Chen 1.6k 1.3× 603 0.6× 997 1.0× 1.1k 1.1× 147 0.2× 118 3.2k
Xiaohui Peng 767 0.6× 506 0.5× 892 0.9× 679 0.7× 157 0.3× 97 3.9k
Tao Yang 1.8k 1.4× 1.9k 1.8× 1.3k 1.2× 884 0.9× 969 1.6× 95 3.8k
Guoliang Yang 1.6k 1.3× 426 0.4× 1.2k 1.2× 1.4k 1.4× 442 0.7× 92 4.4k

Countries citing papers authored by Jingyu Shi

Since Specialization
Citations

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

Fields of papers citing papers by Jingyu Shi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jingyu Shi

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