Kang Wang

106 total papers · 855 total citations
68 papers, 567 citations indexed

About

Kang Wang is a scholar working on Automotive Engineering, Mechanical Engineering and Control and Systems Engineering. According to data from OpenAlex, Kang Wang has authored 68 papers receiving a total of 567 indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Automotive Engineering, 19 papers in Mechanical Engineering and 17 papers in Control and Systems Engineering. Recurrent topics in Kang Wang's work include Additive Manufacturing and 3D Printing Technologies (19 papers), Additive Manufacturing Materials and Processes (11 papers) and Manufacturing Process and Optimization (8 papers). Kang Wang is often cited by papers focused on Additive Manufacturing and 3D Printing Technologies (19 papers), Additive Manufacturing Materials and Processes (11 papers) and Manufacturing Process and Optimization (8 papers). Kang Wang collaborates with scholars based in China, Hong Kong and Singapore. Kang Wang's co-authors include Shuyou Zhang, Jinghua Xu, Mingyu Gao, Jing Qin, Aamer Nazir, Dayong Wu, Liuchao Jin, Kang Zhang, Ciyun Lin and Xiaoya Zhai and has published in prestigious journals such as SHILAP Revista de lepidopterología, Journal of Cleaner Production and IEEE Transactions on Medical Imaging.

In The Last Decade

Kang Wang

63 papers receiving 553 citations

Hit Papers

Big data, machine learnin... 2024 2026 2024 25 50 75

Author Peers

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

Author Last Decade Papers Cites
Kang Wang 228 209 162 78 71 68 567
Mario Hirz 206 0.9× 142 0.7× 157 1.0× 30 0.4× 140 2.0× 117 541
Tianqi Wang 107 0.5× 173 0.8× 43 0.3× 73 0.9× 68 1.0× 50 500
Pingshu Ge 242 1.1× 101 0.5× 46 0.3× 167 2.1× 53 0.7× 71 613
John L. Salmon 93 0.4× 98 0.5× 82 0.5× 121 1.6× 42 0.6× 68 576
Minmin Li 68 0.3× 96 0.5× 179 1.1× 37 0.5× 42 0.6× 39 563
Marek Macko 168 0.7× 159 0.8× 109 0.7× 23 0.3× 71 1.0× 59 572
Lan Yu 89 0.4× 54 0.3× 167 1.0× 41 0.5× 120 1.7× 36 587
Achmad Pratama Rifai 60 0.3× 118 0.6× 440 2.7× 52 0.7× 53 0.7× 48 696
Shengzheng Wang 86 0.4× 57 0.3× 101 0.6× 98 1.3× 41 0.6× 40 604
Vincent Boyer 65 0.3× 103 0.5× 253 1.6× 60 0.8× 28 0.4× 36 520

Countries citing papers authored by Kang Wang

Since Specialization
Citations

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

Fields of papers citing papers by Kang Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Kang Wang

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