Hailin Wu

15 total papers · 730 total citations
12 papers, 643 citations indexed

About

Hailin Wu is a scholar working on Process Chemistry and Technology, Organic Chemistry and Biomaterials. According to data from OpenAlex, Hailin Wu has authored 12 papers receiving a total of 643 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Process Chemistry and Technology, 5 papers in Organic Chemistry and 4 papers in Biomaterials. Recurrent topics in Hailin Wu's work include Carbon dioxide utilization in catalysis (7 papers), Chemical Synthesis and Reactions (5 papers) and biodegradable polymer synthesis and properties (3 papers). Hailin Wu is often cited by papers focused on Carbon dioxide utilization in catalysis (7 papers), Chemical Synthesis and Reactions (5 papers) and biodegradable polymer synthesis and properties (3 papers). Hailin Wu collaborates with scholars based in China, United States and Singapore. Hailin Wu's co-authors include Xinghong Zhang, Jialiang Yang, Chengjian Zhang, Donald J. Darensbourg, Lan‐Fang Hu, Yang Li, Xiao‐Han Cao, Hanyi Duan, Bin Liu and Ming Luo and has published in prestigious journals such as Angewandte Chemie International Edition, Nature Communications and SHILAP Revista de lepidopterología.

In The Last Decade

Hailin Wu

12 papers receiving 640 citations

Author Peers

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

Author						Papers	Cites
Hailin Wu	473	461	359	93	56	12	643
Andrea Stricker	325 0.7×	329 0.7×	537 1.5×	90 1.0×	95 1.7×	14	626
Dinesh C. Aluthge	521 1.1×	363 0.8×	530 1.5×	48 0.5×	85 1.5×	15	641
Tim Stößer	431 0.9×	450 1.0×	439 1.2×	84 0.9×	51 0.9×	10	648
Anthony Keyes	189 0.4×	490 1.1×	207 0.6×	59 0.6×	104 1.9×	16	677
Winnie Nzahou Ottou	314 0.7×	435 0.9×	300 0.8×	60 0.6×	67 1.2×	9	553
Anne‐Laure Brocas	261 0.6×	377 0.8×	287 0.8×	224 2.4×	70 1.3×	11	620
Gilles Boutevin	241 0.5×	218 0.5×	243 0.7×	339 3.6×	89 1.6×	18	599
Antoine Tardy	109 0.2×	651 1.4×	384 1.1×	111 1.2×	83 1.5×	15	754
Madalyn R. Radlauer	275 0.6×	486 1.1×	96 0.3×	52 0.6×	86 1.5×	13	566
Thomas Lebarbé	251 0.5×	267 0.6×	420 1.2×	392 4.2×	71 1.3×	14	710

Countries citing papers authored by Hailin Wu

Since Specialization

Citations

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

Fields of papers citing papers by Hailin Wu

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Hailin Wu

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