Hai Luan

18 total papers · 560 total citations
14 papers, 460 citations indexed

About

Hai Luan is a scholar working on Civil and Structural Engineering, Polymers and Plastics and Mechanics of Materials. According to data from OpenAlex, Hai Luan has authored 14 papers receiving a total of 460 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Civil and Structural Engineering, 5 papers in Polymers and Plastics and 2 papers in Mechanics of Materials. Recurrent topics in Hai Luan's work include Asphalt Pavement Performance Evaluation (9 papers), Infrastructure Maintenance and Monitoring (7 papers) and Concrete and Cement Materials Research (4 papers). Hai Luan is often cited by papers focused on Asphalt Pavement Performance Evaluation (9 papers), Infrastructure Maintenance and Monitoring (7 papers) and Concrete and Cement Materials Research (4 papers). Hai Luan collaborates with scholars based in China, United States and Pakistan. Hai Luan's co-authors include Zejiao Dong, Tao Zhou, Peng Wang, R. Christopher Williams, Zhen Leng, Hao Wang, Chen Yang, Liping Cao, Elham H. Fini and Sk Faisal Kabir and has published in prestigious journals such as Journal of Cleaner Production, Construction and Building Materials and Journal of Materials in Civil Engineering.

In The Last Decade

Hai Luan

13 papers receiving 455 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 Luan 423 183 34 31 26 14 460
Athanasios Skarpas 456 1.1× 115 0.6× 20 0.6× 20 0.6× 59 2.3× 12 492
Milkos Borges Cabrera 373 0.9× 104 0.6× 21 0.6× 28 0.9× 46 1.8× 23 411
J. Peralta 465 1.1× 144 0.8× 32 0.9× 39 1.3× 80 3.1× 16 504
Baron Colbert 452 1.1× 133 0.7× 31 0.9× 58 1.9× 52 2.0× 10 491
Xu Yang 382 0.9× 143 0.8× 45 1.3× 21 0.7× 82 3.2× 16 426
Ali Foroutan Mirhosseini 423 1.0× 123 0.7× 14 0.4× 22 0.7× 51 2.0× 11 475
Guijuan Zhao 428 1.0× 155 0.8× 13 0.4× 39 1.3× 65 2.5× 17 466
Şebnem Karahançer 367 0.9× 163 0.9× 11 0.3× 38 1.2× 26 1.0× 31 414
Sushanta Bhusal 447 1.1× 134 0.7× 48 1.4× 28 0.9× 50 1.9× 15 478
Jiachen Shi 399 0.9× 164 0.9× 15 0.4× 30 1.0× 37 1.4× 14 446

Countries citing papers authored by Hai Luan

Since Specialization
Citations

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

Fields of papers citing papers by Hai Luan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Hai Luan

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