Seung-Soo Han

86 total papers · 527 total citations
47 papers, 322 citations indexed

About

Seung-Soo Han is a scholar working on Electrical and Electronic Engineering, Industrial and Manufacturing Engineering and Computer Vision and Pattern Recognition. According to data from OpenAlex, Seung-Soo Han has authored 47 papers receiving a total of 322 indexed citations (citations by other indexed papers that have themselves been cited), including 25 papers in Electrical and Electronic Engineering, 15 papers in Industrial and Manufacturing Engineering and 10 papers in Computer Vision and Pattern Recognition. Recurrent topics in Seung-Soo Han's work include Industrial Vision Systems and Defect Detection (15 papers), Thin-Film Transistor Technologies (10 papers) and Integrated Circuits and Semiconductor Failure Analysis (5 papers). Seung-Soo Han is often cited by papers focused on Industrial Vision Systems and Defect Detection (15 papers), Thin-Film Transistor Technologies (10 papers) and Integrated Circuits and Semiconductor Failure Analysis (5 papers). Seung-Soo Han collaborates with scholars based in South Korea and United States. Seung-Soo Han's co-authors include G.S. May, R. Nath, Sang Jeen Hong, Dong-Chul Park, Paul A. Kohl, Sue Ann Bidstrup, A. Rohatgi, Andrew B. Kahng, Hyunsoo Kim and Tae‐Jin Lee and has published in prestigious journals such as IEEE Transactions on Plasma Science, Soft Computing and Electronics.

In The Last Decade

Seung-Soo Han

39 papers receiving 303 citations

Author Peers

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

Author Last Decade Papers Cites
Seung-Soo Han 143 63 62 56 39 47 322
Huang‐Chu Huang 92 0.6× 64 1.0× 62 1.0× 58 1.0× 41 1.1× 36 301
Thomas Greiner 107 0.7× 120 1.9× 34 0.5× 86 1.5× 28 0.7× 67 341
Taiki Kimura 196 1.4× 27 0.4× 57 0.9× 38 0.7× 25 0.6× 31 274
Kai Zhu 136 1.0× 34 0.5× 34 0.5× 25 0.4× 18 0.5× 33 287
Ginés Doménech‐Asensi 138 1.0× 66 1.0× 33 0.5× 26 0.5× 16 0.4× 62 319
Jianqi Li 97 0.7× 93 1.5× 21 0.3× 49 0.9× 43 1.1× 39 286
Zunkai Huang 109 0.8× 160 2.5× 78 1.3× 27 0.5× 16 0.4× 27 366
Mingjie Liu 112 0.8× 49 0.8× 159 2.6× 39 0.7× 26 0.7× 47 319
Victor Huang 118 0.8× 23 0.4× 38 0.6× 60 1.1× 52 1.3× 43 343
Xiang Wu 130 0.9× 43 0.7× 29 0.5× 39 0.7× 124 3.2× 44 328

Countries citing papers authored by Seung-Soo Han

Since Specialization
Citations

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

Fields of papers citing papers by Seung-Soo Han

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Seung-Soo Han. 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 Seung-Soo Han. The network helps show where Seung-Soo Han may publish in the future.

Co-authorship network of co-authors of Seung-Soo Han

This figure shows the co-authorship network connecting the top 25 collaborators of Seung-Soo Han. A scholar is included among the top collaborators of Seung-Soo Han 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 Seung-Soo Han. Seung-Soo Han 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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