Minghua Wu

88 total papers · 983 total citations
63 papers, 757 citations indexed

About

Minghua Wu is a scholar working on Polymers and Plastics, Materials Chemistry and Organic Chemistry. According to data from OpenAlex, Minghua Wu has authored 63 papers receiving a total of 757 indexed citations (citations by other indexed papers that have themselves been cited), including 23 papers in Polymers and Plastics, 20 papers in Materials Chemistry and 16 papers in Organic Chemistry. Recurrent topics in Minghua Wu's work include Dyeing and Modifying Textile Fibers (16 papers), Photopolymerization techniques and applications (12 papers) and Advanced Sensor and Energy Harvesting Materials (8 papers). Minghua Wu is often cited by papers focused on Dyeing and Modifying Textile Fibers (16 papers), Photopolymerization techniques and applications (12 papers) and Advanced Sensor and Energy Harvesting Materials (8 papers). Minghua Wu collaborates with scholars based in China, Czechia and Japan. Minghua Wu's co-authors include Lili Wang, Deyou Yu, Huagang Ni, Lu Zhang, Shiwen Wang, Yijia Wang, Lu Zhang, Jing Wang, Dongming Qi and Caihong Chen and has published in prestigious journals such as Nature Communications, Advanced Functional Materials and Journal of Cleaner Production.

In The Last Decade

Minghua Wu

58 papers receiving 747 citations

Author Peers

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

Author						Papers	Cites
Minghua Wu	241	217	184	147	147	63	757
Cunyi Zhao	391 1.6×	142 0.7×	162 0.9×	181 1.2×	124 0.8×	32	876
Zhe Jiang	254 1.1×	113 0.5×	274 1.5×	134 0.9×	118 0.8×	45	867
Fangchao Cheng	365 1.5×	182 0.8×	124 0.7×	210 1.4×	53 0.4×	52	867
Zhuan Fu	327 1.4×	184 0.8×	124 0.7×	115 0.8×	82 0.6×	48	726
Guangjun Gou	159 0.7×	145 0.7×	126 0.7×	114 0.8×	89 0.6×	36	817
Sijun Xu	290 1.2×	108 0.5×	249 1.4×	128 0.9×	128 0.9×	37	798
Xiaodi Ji	297 1.2×	174 0.8×	125 0.7×	178 1.2×	57 0.4×	34	711
Yunli Wang	132 0.5×	176 0.8×	169 0.9×	216 1.5×	140 1.0×	71	838
Ji Fan	193 0.8×	113 0.5×	381 2.1×	126 0.9×	233 1.6×	48	785
Xiang Liu	194 0.8×	126 0.6×	203 1.1×	114 0.8×	125 0.9×	60	862

Countries citing papers authored by Minghua Wu

Since Specialization

Citations

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

Fields of papers citing papers by Minghua Wu

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Minghua Wu

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