Haipeng Song

99 total papers · 1.5k total citations
78 papers, 1.2k citations indexed

About

Haipeng Song is a scholar working on Materials Chemistry, Mechanical Engineering and Mechanics of Materials. According to data from OpenAlex, Haipeng Song has authored 78 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 30 papers in Materials Chemistry, 27 papers in Mechanical Engineering and 19 papers in Mechanics of Materials. Recurrent topics in Haipeng Song's work include Monoclonal and Polyclonal Antibodies Research (12 papers), Corrosion Behavior and Inhibition (8 papers) and High-Velocity Impact and Material Behavior (7 papers). Haipeng Song is often cited by papers focused on Monoclonal and Polyclonal Antibodies Research (12 papers), Corrosion Behavior and Inhibition (8 papers) and High-Velocity Impact and Material Behavior (7 papers). Haipeng Song collaborates with scholars based in China, Germany and France. Haipeng Song's co-authors include Gan‐Yun Huang, Hao Zhang, Yilan Kang, Donghui Fu, Chuanyong Qu, Rui Nian, Wenshuai Liu, Qian Zhang, Mo Xian and Xudong Yang and has published in prestigious journals such as Journal of the American Chemical Society, Advanced Materials and Angewandte Chemie International Edition.

In The Last Decade

Haipeng Song

73 papers receiving 1.2k citations

Author Peers

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

Author						Papers	Cites
Haipeng Song	525	302	274	269	253	78	1.2k
Hao Zhang	353 0.7×	209 0.7×	258 0.9×	210 0.8×	238 0.9×	67	1.5k
Wenxue Chen	254 0.5×	276 0.9×	193 0.7×	120 0.4×	77 0.3×	73	1.2k
L.S. Ong	423 0.8×	302 1.0×	60 0.2×	163 0.6×	278 1.1×	51	1.2k
Wei Wei	300 0.6×	44 0.1×	26 0.1×	232 0.9×	285 1.1×	52	1.1k
Zefeng Wang	186 0.4×	280 0.9×	72 0.3×	305 1.1×	154 0.6×	71	1.1k
Laura Martín	153 0.3×	112 0.4×	27 0.1×	134 0.5×	175 0.7×	47	1.5k
Liqiang Liu	391 0.7×	431 1.4×	144 0.5×	364 1.4×	117 0.5×	76	1.4k
Zhiyang Wang	201 0.4×	389 1.3×	24 0.1×	390 1.4×	34 0.1×	66	1.2k
Hua Jiang	350 0.7×	210 0.7×	90 0.3×	329 1.2×	611 2.4×	44	1.1k
Ettore Barbieri	442 0.8×	199 0.7×	97 0.4×	180 0.7×	254 1.0×	56	1.1k

Countries citing papers authored by Haipeng Song

Since Specialization

Citations

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

Fields of papers citing papers by Haipeng Song

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Haipeng Song

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