Suk‐Hwan Suh

113 total papers · 2.8k total citations
84 papers, 2.1k citations indexed

About

Suk‐Hwan Suh is a scholar working on Industrial and Manufacturing Engineering, Mechanical Engineering and Computational Mechanics. According to data from OpenAlex, Suk‐Hwan Suh has authored 84 papers receiving a total of 2.1k indexed citations (citations by other indexed papers that have themselves been cited), including 49 papers in Industrial and Manufacturing Engineering, 26 papers in Mechanical Engineering and 19 papers in Computational Mechanics. Recurrent topics in Suk‐Hwan Suh's work include Manufacturing Process and Optimization (41 papers), Advanced Numerical Analysis Techniques (19 papers) and Flexible and Reconfigurable Manufacturing Systems (14 papers). Suk‐Hwan Suh is often cited by papers focused on Manufacturing Process and Optimization (41 papers), Advanced Numerical Analysis Techniques (19 papers) and Flexible and Reconfigurable Manufacturing Systems (14 papers). Suk‐Hwan Suh collaborates with scholars based in South Korea, Switzerland and United States. Suk‐Hwan Suh's co-authors include Ian Stroud, Sang-Uk Cheon, Jumyung Um, Seung‐Jun Shin, Jean-Yves Hascoët, Youngsook Lee, Jung-Hoon Cho, Matthieu Rauch, Jae‐Ung Hwang and Hyon‐Seung Yi and has published in prestigious journals such as PLANT PHYSIOLOGY, Resources Conservation and Recycling and International Journal of Production Research.

In The Last Decade

Suk‐Hwan Suh

77 papers receiving 2.0k citations

Author Peers

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

Author Last Decade Papers Cites
Suk‐Hwan Suh 1.2k 823 388 236 221 84 2.1k
B. B. V. L. Deepak 427 0.4× 424 0.5× 108 0.3× 218 0.9× 403 1.8× 73 1.9k
Kai Yu 507 0.4× 772 0.9× 221 0.6× 40 0.2× 163 0.7× 119 1.7k
Tianliang Hu 2.0k 1.6× 687 0.8× 163 0.4× 19 0.1× 399 1.8× 77 2.9k
Jie Zhang 1.8k 1.5× 300 0.4× 130 0.3× 107 0.5× 284 1.3× 118 2.9k
Behrooz Arezoo 1.0k 0.8× 998 1.2× 325 0.8× 21 0.1× 191 0.9× 83 2.4k
Chenggang Li 149 0.1× 692 0.8× 118 0.3× 287 1.2× 289 1.3× 139 1.8k
António Paulo Moreira 536 0.4× 493 0.6× 62 0.2× 397 1.7× 765 3.5× 183 2.8k
Mohsen Soori 811 0.7× 530 0.6× 72 0.2× 24 0.1× 165 0.7× 71 1.9k
Deqiang He 300 0.2× 949 1.2× 142 0.4× 84 0.4× 1.1k 4.8× 187 2.5k
Hui Wang 669 0.6× 442 0.5× 92 0.2× 33 0.1× 249 1.1× 124 2.4k

Countries citing papers authored by Suk‐Hwan Suh

Since Specialization
Citations

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

Fields of papers citing papers by Suk‐Hwan Suh

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Suk‐Hwan Suh. 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 Suk‐Hwan Suh. The network helps show where Suk‐Hwan Suh may publish in the future.

Co-authorship network of co-authors of Suk‐Hwan Suh

This figure shows the co-authorship network connecting the top 25 collaborators of Suk‐Hwan Suh. A scholar is included among the top collaborators of Suk‐Hwan Suh 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 Suk‐Hwan Suh. Suk‐Hwan Suh 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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