Haijun Wu

61 total papers · 402 total citations
33 papers, 238 citations indexed

About

Haijun Wu is a scholar working on Civil and Structural Engineering, Biomedical Engineering and Materials Chemistry. According to data from OpenAlex, Haijun Wu has authored 33 papers receiving a total of 238 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Civil and Structural Engineering, 8 papers in Biomedical Engineering and 8 papers in Materials Chemistry. Recurrent topics in Haijun Wu's work include Muscle activation and electromyography studies (6 papers), High-Velocity Impact and Material Behavior (5 papers) and Combustion and Detonation Processes (4 papers). Haijun Wu is often cited by papers focused on Muscle activation and electromyography studies (6 papers), High-Velocity Impact and Material Behavior (5 papers) and Combustion and Detonation Processes (4 papers). Haijun Wu collaborates with scholars based in China, United Kingdom and Japan. Haijun Wu's co-authors include Zhi‐Han Zhu, Yijie Shen, Chunyu Li, Anatoly V. Zayats, Lei Jiao, Xiaoliang Wang, Yi‐Jian Yao, Yujing Yan, Rui‐Heng Yang and Jin He and has published in prestigious journals such as Physical Review Letters, Journal of Materials Science and Biological Conservation.

In The Last Decade

Haijun Wu

27 papers receiving 225 citations

Author Peers

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

Author						Papers	Cites
Haijun Wu	67	48	30	29	25	33	238
Shuo Wang	17 0.3×	13 0.3×	37 1.2×	6 0.2×	14 0.6×	27	328
Matthew J. Hobbs	24 0.4×	63 1.3×	11 0.4×	8 0.3×		31	304
Ming Dong	15 0.2×	45 0.9×	21 0.7×	5 0.2×		31	268
Jianjun Xu	35 0.5×	22 0.5×	11 0.4×	2 0.1×	2 0.1×	38	300
Weiping Yang	20 0.3×	72 1.5×	8 0.3×	3 0.1×	2 0.1×	38	325
Michael H. Brill	64 1.0×	40 0.8×	13 0.4×	1 0.0×	3 0.1×	17	244
Bo Zhao	119 1.8×	22 0.5×	3 0.1×	5 0.2×	2 0.1×	20	326
Ayaka Yamada	60 0.9×	88 1.8×	5 0.2×		7 0.3×	27	326
Xue Wu	23 0.3×	68 1.4×	5 0.2×	3 0.1×	2 0.1×	35	309
D. A. Matoz-Fernandez	24 0.4×	46 1.0×	9 0.3×		5 0.2×	21	305

Countries citing papers authored by Haijun Wu

Since Specialization

Citations

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

Fields of papers citing papers by Haijun Wu

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Haijun Wu

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