Hongli Wu

108 total papers · 2.5k total citations
86 papers, 2.0k citations indexed

About

Hongli Wu is a scholar working on Materials Chemistry, Organic Chemistry and Mechanical Engineering. According to data from OpenAlex, Hongli Wu has authored 86 papers receiving a total of 2.0k indexed citations (citations by other indexed papers that have themselves been cited), including 45 papers in Materials Chemistry, 25 papers in Organic Chemistry and 23 papers in Mechanical Engineering. Recurrent topics in Hongli Wu's work include Catalytic Processes in Materials Science (22 papers), Catalysis and Oxidation Reactions (13 papers) and Catalysis for Biomass Conversion (13 papers). Hongli Wu is often cited by papers focused on Catalytic Processes in Materials Science (22 papers), Catalysis and Oxidation Reactions (13 papers) and Catalysis for Biomass Conversion (13 papers). Hongli Wu collaborates with scholars based in China, Canada and Japan. Hongli Wu's co-authors include Wensheng Yang, Xiaohui Ji, Qingcai Liu, Lili Zhao, Hong Liu, Weizao Liu, Jing Jing, Xinyi Dong, Jun Li and Ye Wang and has published in prestigious journals such as Journal of the American Chemical Society, Applied Catalysis B: Environmental and Chemical Engineering Journal.

In The Last Decade

Hongli Wu

82 papers receiving 2.0k citations

Author Peers

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

Author Last Decade Papers Cites
Hongli Wu 1.3k 525 479 369 359 86 2.0k
Mihaela D. Lazăr 1.4k 1.1× 441 0.8× 464 1.0× 296 0.8× 545 1.5× 120 2.4k
Şahin Demirci 1.1k 0.8× 498 0.9× 478 1.0× 167 0.5× 266 0.7× 105 2.3k
Arvind H. Jadhav 999 0.8× 748 1.4× 687 1.4× 348 0.9× 581 1.6× 122 2.6k
Jian Yang 889 0.7× 505 1.0× 358 0.7× 578 1.6× 632 1.8× 93 2.3k
A.J. López-Peinado 1.4k 1.1× 725 1.4× 623 1.3× 398 1.1× 158 0.4× 66 2.6k
Heng Zhang 930 0.7× 342 0.7× 494 1.0× 167 0.5× 409 1.1× 115 2.5k
Long Qi 749 0.6× 1.0k 1.9× 404 0.8× 258 0.7× 324 0.9× 98 2.1k
María Luisa Rojas Cervantes 1.3k 1.0× 674 1.3× 331 0.7× 324 0.9× 171 0.5× 62 2.5k
Homer C. Genuino 1.4k 1.1× 744 1.4× 430 0.9× 199 0.5× 571 1.6× 47 2.3k
K. Shanthi 1.3k 1.1× 525 1.0× 526 1.1× 259 0.7× 357 1.0× 74 2.4k

Countries citing papers authored by Hongli Wu

Since Specialization
Citations

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

Fields of papers citing papers by Hongli Wu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Hongli Wu

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