Hailong Chen

91 total papers · 1.2k total citations
73 papers, 907 citations indexed

About

Hailong Chen is a scholar working on Ocean Engineering, Computational Mechanics and Mechanical Engineering. According to data from OpenAlex, Hailong Chen has authored 73 papers receiving a total of 907 indexed citations (citations by other indexed papers that have themselves been cited), including 41 papers in Ocean Engineering, 26 papers in Computational Mechanics and 19 papers in Mechanical Engineering. Recurrent topics in Hailong Chen's work include Enhanced Oil Recovery Techniques (19 papers), Wave and Wind Energy Systems (19 papers) and Fluid Dynamics and Vibration Analysis (12 papers). Hailong Chen is often cited by papers focused on Enhanced Oil Recovery Techniques (19 papers), Wave and Wind Energy Systems (19 papers) and Fluid Dynamics and Vibration Analysis (12 papers). Hailong Chen collaborates with scholars based in China, United States and United Kingdom. Hailong Chen's co-authors include Zhaomin Li, Peng Wang, Weili Liu, Fei Wang, Hualin Fan, Yaqiang Xue, Xianglong Ma, Guoyong Jin, Yantao Zhang and Mingfei Chen and has published in prestigious journals such as SHILAP Revista de lepidopterología, Langmuir and Applied Energy.

In The Last Decade

Hailong Chen

68 papers receiving 883 citations

Author Peers

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

Author Last Decade Papers Cites
Hailong Chen 360 330 295 235 172 73 907
Raj Kumar Singh 282 0.8× 183 0.6× 197 0.7× 210 0.9× 123 0.7× 48 741
Zheng Liang 246 0.7× 308 0.9× 591 2.0× 491 2.1× 116 0.7× 103 1.0k
Mario Amelio 271 0.8× 129 0.4× 447 1.5× 166 0.7× 85 0.5× 61 954
Xiangsheng Chen 368 1.0× 202 0.6× 172 0.6× 376 1.6× 109 0.6× 75 1.0k
Peijian Zhou 430 1.2× 212 0.6× 382 1.3× 184 0.8× 96 0.6× 67 964
Xiaobing Liu 634 1.8× 198 0.6× 657 2.2× 257 1.1× 77 0.4× 97 1.0k
Haisheng Zhao 323 0.9× 151 0.5× 498 1.7× 308 1.3× 237 1.4× 62 909
Hongtao Li 264 0.7× 329 1.0× 415 1.4× 95 0.4× 91 0.5× 82 1.0k
Cheng Chen 569 1.6× 159 0.5× 435 1.5× 178 0.8× 258 1.5× 84 1.0k
Ming Chen 130 0.4× 168 0.5× 282 1.0× 134 0.6× 226 1.3× 97 885

Countries citing papers authored by Hailong Chen

Since Specialization
Citations

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

Fields of papers citing papers by Hailong Chen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Hailong Chen

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