Huiwu Mao

38 total papers · 1.1k total citations
34 papers, 881 citations indexed

About

Huiwu Mao is a scholar working on Electrical and Electronic Engineering, Cellular and Molecular Neuroscience and Polymers and Plastics. According to data from OpenAlex, Huiwu Mao has authored 34 papers receiving a total of 881 indexed citations (citations by other indexed papers that have themselves been cited), including 31 papers in Electrical and Electronic Engineering, 12 papers in Cellular and Molecular Neuroscience and 9 papers in Polymers and Plastics. Recurrent topics in Huiwu Mao's work include Advanced Memory and Neural Computing (28 papers), Neuroscience and Neural Engineering (8 papers) and Photoreceptor and optogenetics research (7 papers). Huiwu Mao is often cited by papers focused on Advanced Memory and Neural Computing (28 papers), Neuroscience and Neural Engineering (8 papers) and Photoreceptor and optogenetics research (7 papers). Huiwu Mao collaborates with scholars based in China and United States. Huiwu Mao's co-authors include Xiangjing Wang, Changjin Wan, Li Zhu, Ying Zhu, Yixin Zhu, Chunsheng Chen, Qing Wan, Shuo Ke, Juqing Liu and Yongli He and has published in prestigious journals such as Advanced Materials, Nature Communications and Applied Physics Letters.

In The Last Decade

Huiwu Mao

33 papers receiving 864 citations

Author Peers

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

Author Last Decade Papers Cites
Huiwu Mao 762 316 224 203 116 34 881
Changsong Gao 874 1.1× 338 1.1× 205 0.9× 262 1.3× 181 1.6× 43 1.0k
Seung Ju Kim 894 1.2× 214 0.7× 193 0.9× 309 1.5× 106 0.9× 45 1.0k
Adithi Krishnaprasad 880 1.2× 327 1.0× 356 1.6× 187 0.9× 152 1.3× 20 987
Qingxuan Li 758 1.0× 296 0.9× 223 1.0× 190 0.9× 148 1.3× 50 906
Jialin Meng 676 0.9× 323 1.0× 123 0.5× 171 0.8× 100 0.9× 36 743
Woobin Lee 686 0.9× 245 0.8× 205 0.9× 238 1.2× 134 1.2× 32 940
Sung Woon Cho 892 1.2× 311 1.0× 323 1.4× 203 1.0× 161 1.4× 44 1.0k
Ye Tao 612 0.8× 233 0.7× 145 0.6× 204 1.0× 69 0.6× 51 732
Beom Jin Kim 716 0.9× 262 0.8× 231 1.0× 152 0.7× 179 1.5× 17 965
Spyros Stathopoulos 841 1.1× 386 1.2× 106 0.5× 119 0.6× 78 0.7× 59 923

Countries citing papers authored by Huiwu Mao

Since Specialization
Citations

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

Fields of papers citing papers by Huiwu Mao

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Huiwu Mao

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