Wu‐Cheng Nie

14 total papers · 548 total citations
14 papers, 477 citations indexed

About

Wu‐Cheng Nie is a scholar working on Polymers and Plastics, Biomaterials and Organic Chemistry. According to data from OpenAlex, Wu‐Cheng Nie has authored 14 papers receiving a total of 477 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Polymers and Plastics, 7 papers in Biomaterials and 6 papers in Organic Chemistry. Recurrent topics in Wu‐Cheng Nie's work include Advanced Polymer Synthesis and Characterization (4 papers), biodegradable polymer synthesis and properties (3 papers) and Conducting polymers and applications (2 papers). Wu‐Cheng Nie is often cited by papers focused on Advanced Polymer Synthesis and Characterization (4 papers), biodegradable polymer synthesis and properties (3 papers) and Conducting polymers and applications (2 papers). Wu‐Cheng Nie collaborates with scholars based in China and France. Wu‐Cheng Nie's co-authors include Yu‐Zhong Wang, Fei Song, Xiu‐Li Wang, Dan Qian, Xiaohui Wang, Chunbo Li, Qian Xiao, Fang Wang, Xiaohui Wang and Fang Wang and has published in prestigious journals such as Advanced Functional Materials, Chemical Engineering Journal and Polymer.

In The Last Decade

Wu‐Cheng Nie

14 papers receiving 476 citations

Author Peers

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

Author Last Decade Papers Cites
Wu‐Cheng Nie 237 182 181 123 81 14 477
Ka I Lee 195 0.8× 145 0.8× 171 0.9× 98 0.8× 55 0.7× 16 484
Qiyu Mu 272 1.1× 137 0.8× 97 0.5× 86 0.7× 85 1.0× 8 473
Chengyuan Sun 149 0.6× 96 0.5× 245 1.4× 100 0.8× 51 0.6× 11 496
Zhen Tao 208 0.9× 107 0.6× 122 0.7× 129 1.0× 158 2.0× 10 485
Lilong Cao 310 1.3× 176 1.0× 128 0.7× 90 0.7× 35 0.4× 9 474
Xiaoran Zhang 171 0.7× 124 0.7× 116 0.6× 97 0.8× 55 0.7× 18 454
Tuo‐Di Zhang 236 1.0× 123 0.7× 120 0.7× 46 0.4× 55 0.7× 22 493
Zhuoling Tian 262 1.1× 135 0.7× 127 0.7× 101 0.8× 133 1.6× 14 508
Duoduo Xu 202 0.9× 84 0.5× 300 1.7× 134 1.1× 38 0.5× 9 498
Xiaoru Dong 268 1.1× 138 0.8× 126 0.7× 112 0.9× 44 0.5× 10 456

Countries citing papers authored by Wu‐Cheng Nie

Since Specialization
Citations

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

Fields of papers citing papers by Wu‐Cheng Nie

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Wu‐Cheng Nie. 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 Wu‐Cheng Nie. The network helps show where Wu‐Cheng Nie may publish in the future.

Co-authorship network of co-authors of Wu‐Cheng Nie

This figure shows the co-authorship network connecting the top 25 collaborators of Wu‐Cheng Nie. A scholar is included among the top collaborators of Wu‐Cheng Nie 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 Wu‐Cheng Nie. Wu‐Cheng Nie 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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