Fang Su

88 total papers · 820 total citations
51 papers, 640 citations indexed

About

Fang Su is a scholar working on Electrical and Electronic Engineering, Computational Theory and Mathematics and Computational Mechanics. According to data from OpenAlex, Fang Su has authored 51 papers receiving a total of 640 indexed citations (citations by other indexed papers that have themselves been cited), including 22 papers in Electrical and Electronic Engineering, 15 papers in Computational Theory and Mathematics and 8 papers in Computational Mechanics. Recurrent topics in Fang Su's work include Ferroelectric and Negative Capacitance Devices (10 papers), Advanced Memory and Neural Computing (10 papers) and Advanced Mathematical Modeling in Engineering (8 papers). Fang Su is often cited by papers focused on Ferroelectric and Negative Capacitance Devices (10 papers), Advanced Memory and Neural Computing (10 papers) and Advanced Mathematical Modeling in Engineering (8 papers). Fang Su collaborates with scholars based in China, United States and Taiwan. Fang Su's co-authors include Yongpan Liu, Huazhong Yang, Meng‐Fan Chang, Chieh-Pu Lo, Lizhi Cheng, Yu Wang, Zhidong Jia, Haifeng Gao, Yiqun Wang and Kuo-Hsiang Hsu and has published in prestigious journals such as SHILAP Revista de lepidopterología, Communications of the ACM and Expert Systems with Applications.

In The Last Decade

Fang Su

48 papers receiving 624 citations

Author Peers

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

Author Last Decade Papers Cites
Fang Su 386 126 75 74 73 51 640
Duc T. Nguyen 332 0.9× 95 0.8× 54 0.7× 30 0.4× 91 1.2× 51 717
Amir Fijany 173 0.4× 159 1.3× 33 0.4× 26 0.4× 25 0.3× 66 596
Masaaki Shimasaki 242 0.6× 83 0.7× 24 0.3× 37 0.5× 50 0.7× 58 573
Hai Li 301 0.8× 23 0.2× 133 1.8× 42 0.6× 89 1.2× 67 658
Hai Wang 394 1.0× 59 0.5× 37 0.5× 131 1.8× 10 0.1× 71 688
Matthias Neubauer 147 0.4× 40 0.3× 217 2.9× 33 0.4× 138 1.9× 69 689
W. Liu 587 1.5× 34 0.3× 74 1.0× 128 1.7× 34 0.5× 38 776
H.-J. Pfleiderer 517 1.3× 35 0.3× 147 2.0× 60 0.8× 22 0.3× 91 664
Jing Yang 292 0.8× 68 0.5× 42 0.6× 9 0.1× 30 0.4× 61 641
Roy D. Cideciyan 342 0.9× 196 1.6× 33 0.4× 21 0.3× 24 0.3× 37 583

Countries citing papers authored by Fang Su

Since Specialization
Citations

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

Fields of papers citing papers by Fang Su

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Fang Su

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