Hai‐Long Wei

21 total papers · 576 total citations
10 papers, 512 citations indexed

About

Hai‐Long Wei is a scholar working on Organic Chemistry, Molecular Biology and Inorganic Chemistry. According to data from OpenAlex, Hai‐Long Wei has authored 10 papers receiving a total of 512 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Organic Chemistry, 4 papers in Molecular Biology and 4 papers in Inorganic Chemistry. Recurrent topics in Hai‐Long Wei's work include Chemical Synthesis and Analysis (4 papers), Catalytic C–H Functionalization Methods (4 papers) and Asymmetric Hydrogenation and Catalysis (3 papers). Hai‐Long Wei is often cited by papers focused on Chemical Synthesis and Analysis (4 papers), Catalytic C–H Functionalization Methods (4 papers) and Asymmetric Hydrogenation and Catalysis (3 papers). Hai‐Long Wei collaborates with scholars based in China, France and Switzerland. Hai‐Long Wei's co-authors include Luc Neuville, Jieping Zhu, Tiffany Piou, Jérémy Dufour, Yong‐Min Liang, Yan‐Ning Niu, Ze‐Yi Yan, Xin‐Hua Duan, Jean‐Pierre Vors and Luyong Wu and has published in prestigious journals such as The Journal of Organic Chemistry, Organic Letters and RSC Advances.

In The Last Decade

Hai‐Long Wei

9 papers receiving 508 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‐Long Wei 495 99 82 32 13 10 512
Fernando Portela‐Cubillo 541 1.1× 57 0.6× 104 1.3× 28 0.9× 9 0.7× 11 565
Christophe Chaboche 466 0.9× 61 0.6× 73 0.9× 22 0.7× 14 1.1× 11 533
Richard T. Buck 386 0.8× 59 0.6× 121 1.5× 27 0.8× 16 1.2× 13 448
Florian Keller 512 1.0× 101 1.0× 73 0.9× 29 0.9× 13 1.0× 14 556
Lu Chang 434 0.9× 153 1.5× 90 1.1× 19 0.6× 13 1.0× 14 451
Guangyin Qian 529 1.1× 79 0.8× 29 0.4× 24 0.8× 17 1.3× 12 595
Nancy K. Harn 479 1.0× 83 0.8× 85 1.0× 32 1.0× 13 1.0× 12 543
Olivier Leogane 449 0.9× 102 1.0× 102 1.2× 18 0.6× 6 0.5× 10 498
Thomas C. Coombs 438 0.9× 71 0.7× 75 0.9× 78 2.4× 16 1.2× 12 498
Mathieu Blanchot 548 1.1× 155 1.6× 85 1.0× 27 0.8× 14 1.1× 11 600

Countries citing papers authored by Hai‐Long Wei

Since Specialization
Citations

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

Fields of papers citing papers by Hai‐Long Wei

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Hai‐Long Wei

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