Xinran Wang

65 total papers · 967 total citations
27 papers, 496 citations indexed

About

Xinran Wang is a scholar working on Ocean Engineering, Economics and Econometrics and Mechanical Engineering. According to data from OpenAlex, Xinran Wang has authored 27 papers receiving a total of 496 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Ocean Engineering, 7 papers in Economics and Econometrics and 5 papers in Mechanical Engineering. Recurrent topics in Xinran Wang's work include Reservoir Engineering and Simulation Methods (6 papers), Enhanced Oil Recovery Techniques (5 papers) and Hydraulic Fracturing and Reservoir Analysis (4 papers). Xinran Wang is often cited by papers focused on Reservoir Engineering and Simulation Methods (6 papers), Enhanced Oil Recovery Techniques (5 papers) and Hydraulic Fracturing and Reservoir Analysis (4 papers). Xinran Wang collaborates with scholars based in China, United States and Hong Kong. Xinran Wang's co-authors include Terence Tsai, Shubo Liu, David Ahlström, Michael N. Young, Lei Dong, Jiang Zhang, Wen-Xu Wang, Ruiqi Li, Zengru Di and H. Eugene Stanley and has published in prestigious journals such as Nature Communications, SHILAP Revista de lepidopterología and The Science of The Total Environment.

In The Last Decade

Xinran Wang

21 papers receiving 483 citations

Author Peers

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

Author Last Decade Papers Cites
Xinran Wang 123 90 89 89 82 27 496
Junhua Chen 207 1.7× 78 0.9× 24 0.3× 64 0.7× 28 0.3× 51 583
Hsiao‐Chi Chen 97 0.8× 40 0.4× 121 1.4× 57 0.6× 14 0.2× 36 586
Natàlia Cugueró-Escofet 124 1.0× 51 0.6× 114 1.3× 49 0.6× 38 0.5× 29 618
Ronald W. Spahr 187 1.5× 62 0.7× 57 0.6× 19 0.2× 79 1.0× 51 527
Burç Ülengin 165 1.3× 33 0.4× 96 1.1× 58 0.7× 27 0.3× 41 568
Melih Bulu 79 0.6× 35 0.4× 100 1.1× 56 0.6× 8 0.1× 26 494
Ning Li 93 0.8× 27 0.3× 101 1.1× 12 0.1× 22 0.3× 32 490
Yong Suk Lee 154 1.3× 36 0.4× 44 0.5× 16 0.2× 66 0.8× 44 549
Elisa Barbieri 371 3.0× 25 0.3× 153 1.7× 14 0.2× 40 0.5× 42 596
James Derbyshire 141 1.1× 88 1.0× 126 1.4× 12 0.1× 34 0.4× 32 584

Countries citing papers authored by Xinran Wang

Since Specialization
Citations

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

Fields of papers citing papers by Xinran Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Xinran Wang

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