Tsung-Ting Kuo

87 total papers · 3.8k total citations
49 papers, 1.9k citations indexed

About

Tsung-Ting Kuo is a scholar working on Artificial Intelligence, Information Systems and Molecular Biology. According to data from OpenAlex, Tsung-Ting Kuo has authored 49 papers receiving a total of 1.9k indexed citations (citations by other indexed papers that have themselves been cited), including 31 papers in Artificial Intelligence, 17 papers in Information Systems and 7 papers in Molecular Biology. Recurrent topics in Tsung-Ting Kuo's work include Blockchain Technology Applications and Security (13 papers), Privacy-Preserving Technologies in Data (11 papers) and Complex Network Analysis Techniques (7 papers). Tsung-Ting Kuo is often cited by papers focused on Blockchain Technology Applications and Security (13 papers), Privacy-Preserving Technologies in Data (11 papers) and Complex Network Analysis Techniques (7 papers). Tsung-Ting Kuo collaborates with scholars based in United States, Taiwan and United Kingdom. Tsung-Ting Kuo's co-authors include Lucila Ohno‐Machado, Hyeoneui Kim, Rodney A. Gabriel, Shou-De Lin, Chun‐Nan Hsu, Rahul Kashyap, Shitij Bhargava, Robert Barkovich, Kevin A. Clauson and Tim K. Mackey and has published in prestigious journals such as Nature Communications, BMC Bioinformatics and Information Sciences.

In The Last Decade

Tsung-Ting Kuo

49 papers receiving 1.8k citations

Hit Papers

Blockchain distributed le... 2017 2026 2020 2023 2017 2019 200 400 600

Author Peers

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

Author Last Decade Papers Cites
Tsung-Ting Kuo 1.1k 562 496 166 160 49 1.9k
Rajeev Kumar 1.1k 1.0× 412 0.7× 677 1.4× 125 0.8× 71 0.4× 99 2.3k
Suyel Namasudra 1.2k 1.0× 882 1.6× 805 1.6× 76 0.5× 86 0.5× 86 2.2k
Yousof Al-Hammadi 878 0.8× 334 0.6× 765 1.5× 118 0.7× 50 0.3× 64 1.9k
Ramesh S. Patil 553 0.5× 1.2k 2.1× 302 0.6× 159 1.0× 23 0.1× 43 1.9k
Ting Wang 425 0.4× 656 1.2× 533 1.1× 64 0.4× 165 1.0× 136 2.3k
Rayid Ghani 543 0.5× 1.5k 2.8× 115 0.2× 44 0.3× 102 0.6× 76 2.5k
Eric W. Brown 397 0.4× 1.2k 2.1× 195 0.4× 31 0.2× 167 1.0× 35 1.9k
Mamdouh Alenezi 1.2k 1.1× 402 0.7× 627 1.3× 102 0.6× 53 0.3× 117 2.3k
Alun Preece 679 0.6× 1.4k 2.5× 449 0.9× 171 1.0× 25 0.2× 203 2.6k
Ravi Sharma 545 0.5× 385 0.7× 326 0.7× 79 0.5× 61 0.4× 90 1.6k

Countries citing papers authored by Tsung-Ting Kuo

Since Specialization
Citations

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

Fields of papers citing papers by Tsung-Ting Kuo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Tsung-Ting Kuo. 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 Tsung-Ting Kuo. The network helps show where Tsung-Ting Kuo may publish in the future.

Co-authorship network of co-authors of Tsung-Ting Kuo

This figure shows the co-authorship network connecting the top 25 collaborators of Tsung-Ting Kuo. A scholar is included among the top collaborators of Tsung-Ting Kuo 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 Tsung-Ting Kuo. Tsung-Ting Kuo 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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