Shihao Wang

62 total papers · 713 total citations
37 papers, 487 citations indexed

About

Shihao Wang is a scholar working on Environmental Engineering, Health, Toxicology and Mutagenesis and Artificial Intelligence. According to data from OpenAlex, Shihao Wang has authored 37 papers receiving a total of 487 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Environmental Engineering, 6 papers in Health, Toxicology and Mutagenesis and 6 papers in Artificial Intelligence. Recurrent topics in Shihao Wang's work include Metaheuristic Optimization Algorithms Research (6 papers), Evolutionary Algorithms and Applications (5 papers) and Land Use and Ecosystem Services (4 papers). Shihao Wang is often cited by papers focused on Metaheuristic Optimization Algorithms Research (6 papers), Evolutionary Algorithms and Applications (5 papers) and Land Use and Ecosystem Services (4 papers). Shihao Wang collaborates with scholars based in China and South Korea. Shihao Wang's co-authors include Yuzhen Li, Xinliang Xu, Hongyu Yang, Hong Liu, Dongrui Han, Yihui Liu, Hongyan Cai, Kun Jia, Zongyao Sun and Zhi Qiao and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and Journal of Hazardous Materials.

In The Last Decade

Shihao Wang

31 papers receiving 481 citations

Author Peers

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

Author						Papers	Cites
Shihao Wang	135	130	118	115	85	37	487
Xiaochi Zhou	140 1.0×	87 0.7×	69 0.6×	197 1.7×	13 0.2×	23	510
Yang Zhong	72 0.5×	48 0.4×	34 0.3×	262 2.3×	11 0.1×	26	422
Zafar Hussain	40 0.3×	22 0.2×	52 0.4×	185 1.6×	120 1.4×	43	545
Zhongli Zhou	60 0.4×	59 0.5×	18 0.2×	65 0.6×	31 0.4×	41	440
Matteo Sangiorgio	64 0.5×	138 1.1×	11 0.1×	82 0.7×	15 0.2×	28	550
Ying Zhang	92 0.7×	27 0.2×	79 0.7×	14 0.1×	44 0.5×	24	514
Boško Blagojević	73 0.5×	36 0.3×	22 0.2×	119 1.0×	22 0.3×	43	505
Meysam Argany	55 0.4×	33 0.3×	35 0.3×	159 1.4×	10 0.1×	28	432
Hongmei Wang	26 0.2×	31 0.2×	62 0.5×	30 0.3×	21 0.2×	50	457
Eusebio Ventura-Ramos	71 0.5×	69 0.5×	37 0.3×	101 0.9×	6 0.1×	19	467

Countries citing papers authored by Shihao Wang

Since Specialization

Citations

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

Fields of papers citing papers by Shihao Wang

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Shihao Wang

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