Liushun Wu

36 total papers · 587 total citations
32 papers, 461 citations indexed

About

Liushun Wu is a scholar working on Mechanical Engineering, Biomedical Engineering and Water Science and Technology. According to data from OpenAlex, Liushun Wu has authored 32 papers receiving a total of 461 indexed citations (citations by other indexed papers that have themselves been cited), including 28 papers in Mechanical Engineering, 12 papers in Biomedical Engineering and 8 papers in Water Science and Technology. Recurrent topics in Liushun Wu's work include Metallurgical Processes and Thermodynamics (22 papers), Metal Extraction and Bioleaching (11 papers) and Iron and Steelmaking Processes (9 papers). Liushun Wu is often cited by papers focused on Metallurgical Processes and Thermodynamics (22 papers), Metal Extraction and Bioleaching (11 papers) and Iron and Steelmaking Processes (9 papers). Liushun Wu collaborates with scholars based in China and Sweden. Liushun Wu's co-authors include Yuanchi Dong, Du Sichen, Haichuan Wang, Baijun Yan, Jianliang Zhang, Shan Ren, Ningning Lv, Jue Wang, Du Sichen and Buxin Su and has published in prestigious journals such as The Science of The Total Environment, Construction and Building Materials and Journal of the American Ceramic Society.

In The Last Decade

Liushun Wu

29 papers receiving 451 citations

Author Peers

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

Author						Papers	Cites
Liushun Wu	378	201	103	66	52	32	461
Volodymyr Shatokha	366 1.0×	166 0.8×	61 0.6×	92 1.4×	39 0.8×	37	494
Vjačeslavs Lapkovskis	298 0.8×	139 0.7×	48 0.5×	89 1.3×	38 0.7×	38	519
Peiyang Shi	196 0.5×	182 0.9×	90 0.9×	189 2.9×	66 1.3×	41	524
Huifen Yang	296 0.8×	241 1.2×	149 1.4×	65 1.0×	89 1.7×	27	465
Yuntao Xin	284 0.8×	259 1.3×	102 1.0×	99 1.5×	27 0.5×	52	485
Evangelos Petrakis	262 0.7×	150 0.7×	172 1.7×	77 1.2×	82 1.6×	34	423
Hashim Hussin	176 0.5×	115 0.6×	72 0.7×	79 1.2×	40 0.8×	27	471
Vusumuzi Sibanda	198 0.5×	111 0.6×	88 0.9×	87 1.3×	173 3.3×	25	452
Andrei Shoppert	323 0.9×	162 0.8×	124 1.2×	35 0.5×	160 3.1×	48	491
Chao Geng	269 0.7×	160 0.8×	45 0.4×	108 1.6×	156 3.0×	20	461

Countries citing papers authored by Liushun Wu

Since Specialization

Citations

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

Fields of papers citing papers by Liushun Wu

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Liushun Wu

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