Hai Gong

133 total papers · 1.3k total citations
89 papers, 1.0k citations indexed

About

Hai Gong is a scholar working on Mechanical Engineering, Mechanics of Materials and Materials Chemistry. According to data from OpenAlex, Hai Gong has authored 89 papers receiving a total of 1.0k indexed citations (citations by other indexed papers that have themselves been cited), including 69 papers in Mechanical Engineering, 47 papers in Mechanics of Materials and 32 papers in Materials Chemistry. Recurrent topics in Hai Gong's work include Metallurgy and Material Forming (28 papers), Welding Techniques and Residual Stresses (26 papers) and Microstructure and mechanical properties (20 papers). Hai Gong is often cited by papers focused on Metallurgy and Material Forming (28 papers), Welding Techniques and Residual Stresses (26 papers) and Microstructure and mechanical properties (20 papers). Hai Gong collaborates with scholars based in China, United Kingdom and Nigeria. Hai Gong's co-authors include Yunxin Wu, Abdulrahaman Shuaibu Ahmad, Lei Liu, Tao Zhang, Tao Zhang, Jinglian Fan, Xin Chen, Yun Wu, Kai Wang and Xiaoyong Zhang and has published in prestigious journals such as Materials Science and Engineering A, IEEE Access and Journal of Materials Science.

In The Last Decade

Hai Gong

84 papers receiving 989 citations

Author Peers

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

Author Last Decade Papers Cites
Hai Gong 811 431 412 245 66 89 1.0k
George Pantazopoulos 828 1.0× 407 0.9× 650 1.6× 284 1.2× 57 0.9× 110 1.1k
Joseph P. Domblesky 760 0.9× 412 1.0× 278 0.7× 133 0.5× 114 1.7× 45 883
Wilfried Eichlseder 733 0.9× 532 1.2× 239 0.6× 140 0.6× 42 0.6× 74 909
Biao Li 626 0.8× 421 1.0× 255 0.6× 269 1.1× 143 2.2× 65 1.1k
Sergio Baragetti 862 1.1× 773 1.8× 636 1.5× 136 0.6× 20 0.3× 120 1.2k
Sylvie Descartes 779 1.0× 743 1.7× 365 0.9× 215 0.9× 122 1.8× 63 1.2k
Vikranth Racherla 854 1.1× 338 0.8× 421 1.0× 183 0.7× 75 1.1× 71 1.1k
Qinxiang Xia 773 1.0× 599 1.4× 274 0.7× 173 0.7× 14 0.2× 74 928
Bing Yang 830 1.0× 835 1.9× 281 0.7× 77 0.3× 33 0.5× 129 1.2k
Yong Zang 753 0.9× 601 1.4× 358 0.9× 166 0.7× 52 0.8× 119 1.2k

Countries citing papers authored by Hai Gong

Since Specialization
Citations

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

Fields of papers citing papers by Hai Gong

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Hai Gong

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