Hanchan Song

35 total papers · 626 total citations
27 papers, 467 citations indexed

About

Hanchan Song is a scholar working on Electrical and Electronic Engineering, Cellular and Molecular Neuroscience and Artificial Intelligence. According to data from OpenAlex, Hanchan Song has authored 27 papers receiving a total of 467 indexed citations (citations by other indexed papers that have themselves been cited), including 27 papers in Electrical and Electronic Engineering, 13 papers in Cellular and Molecular Neuroscience and 5 papers in Artificial Intelligence. Recurrent topics in Hanchan Song's work include Advanced Memory and Neural Computing (25 papers), Ferroelectric and Negative Capacitance Devices (14 papers) and Neuroscience and Neural Engineering (12 papers). Hanchan Song is often cited by papers focused on Advanced Memory and Neural Computing (25 papers), Ferroelectric and Negative Capacitance Devices (14 papers) and Neuroscience and Neural Engineering (12 papers). Hanchan Song collaborates with scholars based in South Korea, United States and Brazil. Hanchan Song's co-authors include Kyung Min Kim, Juseong Park, Jae Hyun In, Young Seok Kim, Woojoon Park, Jae Bum Jeon, Woon Hyung Cheong, Geunyoung Kim, Younghyun Lee and Cheol Seong Hwang and has published in prestigious journals such as Advanced Materials, Nature Communications and Nature Materials.

In The Last Decade

Hanchan Song

27 papers receiving 461 citations

Author Peers

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

Author Last Decade Papers Cites
Hanchan Song 442 208 83 70 50 27 467
Janguk Han 381 0.9× 118 0.6× 168 2.0× 100 1.4× 39 0.8× 27 406
Felix Cüppers 484 1.1× 224 1.1× 39 0.5× 77 1.1× 69 1.4× 17 510
Thomas Dalgaty 394 0.9× 124 0.6× 142 1.7× 131 1.9× 27 0.5× 25 462
Juseong Park 309 0.7× 104 0.5× 45 0.5× 40 0.6× 35 0.7× 27 407
Kyung Seok Woo 501 1.1× 157 0.8× 163 2.0× 111 1.6× 56 1.1× 26 534
Jungyeop Oh 431 1.0× 185 0.9× 58 0.7× 63 0.9× 112 2.2× 24 470
Siyan Lin 344 0.8× 119 0.6× 57 0.7× 70 1.0× 30 0.6× 19 431
Moritz von Witzleben 431 1.0× 191 0.9× 37 0.4× 80 1.1× 70 1.4× 13 465
Tommaso Zanotti 364 0.8× 127 0.6× 42 0.5× 24 0.3× 20 0.4× 32 406
Shuai Li 392 0.9× 131 0.6× 101 1.2× 113 1.6× 86 1.7× 25 449

Countries citing papers authored by Hanchan Song

Since Specialization
Citations

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

Fields of papers citing papers by Hanchan Song

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Hanchan Song

This figure shows the co-authorship network connecting the top 25 collaborators of Hanchan Song. A scholar is included among the top collaborators of Hanchan Song 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 Hanchan Song. Hanchan Song 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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2026