Haipeng Wu

41 total papers · 662 total citations
31 papers, 585 citations indexed

About

Haipeng Wu is a scholar working on Materials Chemistry, Electronic, Optical and Magnetic Materials and Inorganic Chemistry. According to data from OpenAlex, Haipeng Wu has authored 31 papers receiving a total of 585 indexed citations (citations by other indexed papers that have themselves been cited), including 25 papers in Materials Chemistry, 17 papers in Electronic, Optical and Magnetic Materials and 9 papers in Inorganic Chemistry. Recurrent topics in Haipeng Wu's work include Magnetism in coordination complexes (17 papers), Lanthanide and Transition Metal Complexes (17 papers) and Metal-Organic Frameworks: Synthesis and Applications (6 papers). Haipeng Wu is often cited by papers focused on Magnetism in coordination complexes (17 papers), Lanthanide and Transition Metal Complexes (17 papers) and Metal-Organic Frameworks: Synthesis and Applications (6 papers). Haipeng Wu collaborates with scholars based in China, France and United Kingdom. Haipeng Wu's co-authors include Sanping Chen, Gang Xie, Hongshan Ke, Qing Wei, Bing Yin, Jing Han, Zhengqiang Xia, Wenyuan Wang, Shengli Gao and Min Li and has published in prestigious journals such as Journal of The Electrochemical Society, Chemical Communications and Inorganic Chemistry.

In The Last Decade

Haipeng Wu

28 papers receiving 579 citations

Author Peers

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

Author Last Decade Papers Cites
Haipeng Wu 466 352 202 156 72 31 585
Zan Sun 535 1.1× 280 0.8× 370 1.8× 209 1.3× 115 1.6× 32 685
Stanisław K. Hoffmann 271 0.6× 223 0.6× 117 0.6× 36 0.2× 102 1.4× 34 530
Arup Sarkar 404 0.9× 396 1.1× 186 0.9× 82 0.5× 84 1.2× 39 566
Ekaterina Mamontova 482 1.0× 380 1.1× 122 0.6× 58 0.4× 77 1.1× 23 598
Lifei Zou 441 0.9× 325 0.9× 398 2.0× 87 0.6× 53 0.7× 23 629
Gemma K. Gransbury 392 0.8× 408 1.2× 201 1.0× 69 0.4× 61 0.8× 31 631
Lei-Lei Li 411 0.9× 413 1.2× 264 1.3× 71 0.5× 76 1.1× 43 586
Jia-Jun Wang 204 0.4× 206 0.6× 134 0.7× 40 0.3× 61 0.8× 32 518
Carolina R. Ganivet 577 1.2× 323 0.9× 201 1.0× 79 0.5× 83 1.2× 21 695
Seok J. Lee 467 1.0× 207 0.6× 510 2.5× 38 0.2× 31 0.4× 15 683

Countries citing papers authored by Haipeng Wu

Since Specialization
Citations

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

Fields of papers citing papers by Haipeng Wu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Haipeng Wu

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