Ying‐de Huang

49 total papers · 1.4k total citations
39 papers, 1.1k citations indexed

About

Ying‐de Huang is a scholar working on Electrical and Electronic Engineering, Electronic, Optical and Magnetic Materials and Mechanical Engineering. According to data from OpenAlex, Ying‐de Huang has authored 39 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 38 papers in Electrical and Electronic Engineering, 17 papers in Electronic, Optical and Magnetic Materials and 7 papers in Mechanical Engineering. Recurrent topics in Ying‐de Huang's work include Advancements in Battery Materials (36 papers), Advanced Battery Materials and Technologies (29 papers) and Supercapacitor Materials and Fabrication (17 papers). Ying‐de Huang is often cited by papers focused on Advancements in Battery Materials (36 papers), Advanced Battery Materials and Technologies (29 papers) and Supercapacitor Materials and Fabrication (17 papers). Ying‐de Huang collaborates with scholars based in China, Australia and United States. Ying‐de Huang's co-authors include Junchao Zheng, Kehua Dai, Cheng Yan, Lin‐bo Tang, Jing Mao, Han‐xin Wei, Zhenjiang He, Yuhong Luo, Xiahui Zhang and Jing Mao and has published in prestigious journals such as Angewandte Chemie International Edition, SHILAP Revista de lepidopterología and ACS Nano.

In The Last Decade

Ying‐de Huang

37 papers receiving 1.1k citations

Author Peers

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

Author Last Decade Papers Cites
Ying‐de Huang 1.0k 311 310 218 112 39 1.1k
Zhenjiang He 1.2k 1.2× 443 1.4× 361 1.2× 272 1.2× 174 1.6× 42 1.3k
Qiliang Wei 1.3k 1.3× 462 1.5× 441 1.4× 273 1.3× 177 1.6× 44 1.4k
Haifeng Li 1.3k 1.3× 415 1.3× 273 0.9× 215 1.0× 170 1.5× 29 1.4k
Chae-Ho Yim 840 0.8× 205 0.7× 389 1.3× 146 0.7× 159 1.4× 41 1.1k
Hang Zhang 1.1k 1.1× 266 0.9× 353 1.1× 164 0.8× 151 1.3× 19 1.2k
Lang Qiu 1.4k 1.3× 518 1.7× 403 1.3× 324 1.5× 127 1.1× 63 1.5k
Along Zhao 1.2k 1.2× 268 0.9× 352 1.1× 236 1.1× 133 1.2× 26 1.3k
Jian Hong 925 0.9× 256 0.8× 326 1.1× 195 0.9× 187 1.7× 27 1.0k
Mateusz Zuba 1.1k 1.0× 284 0.9× 302 1.0× 184 0.8× 163 1.5× 34 1.1k
Shouyi Yin 1.2k 1.2× 450 1.4× 396 1.3× 250 1.1× 150 1.3× 18 1.3k

Countries citing papers authored by Ying‐de Huang

Since Specialization
Citations

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

Fields of papers citing papers by Ying‐de Huang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Ying‐de Huang. 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 Ying‐de Huang. The network helps show where Ying‐de Huang may publish in the future.

Co-authorship network of co-authors of Ying‐de Huang

This figure shows the co-authorship network connecting the top 25 collaborators of Ying‐de Huang. A scholar is included among the top collaborators of Ying‐de Huang 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 Ying‐de Huang. Ying‐de Huang 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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2026