Tang-Kun Liu

95 total papers · 612 total citations
71 papers, 505 citations indexed

About

Tang-Kun Liu is a scholar working on Atomic and Molecular Physics, and Optics, Artificial Intelligence and Materials Chemistry. According to data from OpenAlex, Tang-Kun Liu has authored 71 papers receiving a total of 505 indexed citations (citations by other indexed papers that have themselves been cited), including 64 papers in Atomic and Molecular Physics, and Optics, 48 papers in Artificial Intelligence and 8 papers in Materials Chemistry. Recurrent topics in Tang-Kun Liu's work include Quantum Information and Cryptography (47 papers), Quantum Mechanics and Applications (28 papers) and Quantum Computing Algorithms and Architecture (24 papers). Tang-Kun Liu is often cited by papers focused on Quantum Information and Cryptography (47 papers), Quantum Mechanics and Applications (28 papers) and Quantum Computing Algorithms and Architecture (24 papers). Tang-Kun Liu collaborates with scholars based in China and Taiwan. Tang-Kun Liu's co-authors include Ji‐Suo Wang, Chuan-Jia Shan, Mingsheng Zhan, Ji-Bing Liu, Hong Li, W. W. Cheng, Hongri Liu, Yun‐Jie Xia, Hong Li and Tao Chen and has published in prestigious journals such as Journal of Applied Physics, Scientific Reports and Physics Letters A.

In The Last Decade

Tang-Kun Liu

68 papers receiving 459 citations

Author Peers

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

Author Last Decade Papers Cites
Tang-Kun Liu 460 355 67 31 27 71 505
Urbasi Sinha 446 1.0× 374 1.1× 95 1.4× 12 0.4× 50 1.9× 41 532
M. Kozierowski 472 1.0× 348 1.0× 35 0.5× 26 0.8× 38 1.4× 41 545
Swapan Mandal 433 0.9× 229 0.6× 42 0.6× 8 0.3× 43 1.6× 70 532
Shay Hacohen-Gourgy 398 0.9× 290 0.8× 63 0.9× 29 0.9× 54 2.0× 28 484
Xueyuan Hu 437 0.9× 432 1.2× 56 0.8× 12 0.4× 18 0.7× 35 523
Yonathan Japha 568 1.2× 205 0.6× 60 0.9× 10 0.3× 50 1.9× 36 611
Fardin Kheirandish 426 0.9× 202 0.6× 122 1.8× 20 0.6× 31 1.1× 53 462
V. Subrahmanyam 487 1.1× 336 0.9× 65 1.0× 58 1.9× 19 0.7× 50 613
Gang Zhang 451 1.0× 112 0.3× 151 2.3× 16 0.5× 61 2.3× 46 519
Jorge Villavicencio 346 0.8× 114 0.3× 117 1.7× 8 0.3× 50 1.9× 43 463

Countries citing papers authored by Tang-Kun Liu

Since Specialization
Citations

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

Fields of papers citing papers by Tang-Kun Liu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Tang-Kun Liu. 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 Tang-Kun Liu. The network helps show where Tang-Kun Liu may publish in the future.

Co-authorship network of co-authors of Tang-Kun Liu

This figure shows the co-authorship network connecting the top 25 collaborators of Tang-Kun Liu. A scholar is included among the top collaborators of Tang-Kun Liu 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 Tang-Kun Liu. Tang-Kun Liu 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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