Shaogang Hao

29 total papers · 898 total citations
14 papers, 761 citations indexed

About

Shaogang Hao is a scholar working on Materials Chemistry, Electrical and Electronic Engineering and Condensed Matter Physics. According to data from OpenAlex, Shaogang Hao has authored 14 papers receiving a total of 761 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Materials Chemistry, 4 papers in Electrical and Electronic Engineering and 3 papers in Condensed Matter Physics. Recurrent topics in Shaogang Hao's work include Boron and Carbon Nanomaterials Research (4 papers), Graphene research and applications (3 papers) and Machine Learning in Materials Science (3 papers). Shaogang Hao is often cited by papers focused on Boron and Carbon Nanomaterials Research (4 papers), Graphene research and applications (3 papers) and Machine Learning in Materials Science (3 papers). Shaogang Hao collaborates with scholars based in China, Hong Kong and United States. Shaogang Hao's co-authors include Wenhui Duan, Jian Wu, Bing-Lin Gu, Gang Zhou, Bing Huang, Zhirong Liu, Zuanyi Li, Gang Zhou, Guangyong Chen and Xiaolong Zou and has published in prestigious journals such as Journal of the American Chemical Society, The Journal of Chemical Physics and Applied Physics Letters.

In The Last Decade

Shaogang Hao

13 papers receiving 742 citations

Hit Papers

Adsorption of Gas Molecul... 2008 2026 2014 2020 2008 100 200 300 400

Author Peers

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

Author Last Decade Papers Cites
Shaogang Hao 652 342 121 89 75 14 761
Hongmei Cui 701 1.1× 381 1.1× 78 0.6× 111 1.2× 72 1.0× 18 830
Mikael Wirde 303 0.5× 376 1.1× 125 1.0× 88 1.0× 60 0.8× 9 630
Jonas Botterman 706 1.1× 308 0.9× 145 1.2× 79 0.9× 103 1.4× 13 786
Chen‐Jen Hung 474 0.7× 304 0.9× 59 0.5× 73 0.8× 43 0.6× 12 622
Ulf Werner 407 0.6× 348 1.0× 222 1.8× 64 0.7× 101 1.3× 17 647
Xianguo Liu 516 0.8× 295 0.9× 111 0.9× 76 0.9× 195 2.6× 24 705
Craig A. Jeffrey 342 0.5× 245 0.7× 122 1.0× 186 2.1× 37 0.5× 15 620
Darinka Primc 398 0.6× 299 0.9× 101 0.8× 107 1.2× 232 3.1× 20 666
Lauren E. Shea‐Rohwer 818 1.3× 542 1.6× 75 0.6× 68 0.8× 64 0.9× 13 909
Renato Batista dos Santos 521 0.8× 242 0.7× 97 0.8× 81 0.9× 109 1.5× 20 691

Countries citing papers authored by Shaogang Hao

Since Specialization
Citations

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

Fields of papers citing papers by Shaogang Hao

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Shaogang Hao

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