Hsueh-I Lu

67 total papers · 1.1k total citations
31 papers, 393 citations indexed

About

Hsueh-I Lu is a scholar working on Computational Theory and Mathematics, Artificial Intelligence and Computer Networks and Communications. According to data from OpenAlex, Hsueh-I Lu has authored 31 papers receiving a total of 393 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Computational Theory and Mathematics, 9 papers in Artificial Intelligence and 8 papers in Computer Networks and Communications. Recurrent topics in Hsueh-I Lu's work include Complexity and Algorithms in Graphs (14 papers), Advanced Graph Theory Research (12 papers) and Algorithms and Data Compression (8 papers). Hsueh-I Lu is often cited by papers focused on Complexity and Algorithms in Graphs (14 papers), Advanced Graph Theory Research (12 papers) and Algorithms and Data Compression (8 papers). Hsueh-I Lu collaborates with scholars based in Taiwan, United States and Switzerland. Hsueh-I Lu's co-authors include R. Ravi, Ming‐Yang Kao, Xin He, Ching‐Chi Lin, Yi-Ting Chiang, Philip N. Klein, Michael H. Goldwasser, Tei‐Wei Kuo, Jian-Jia Chen and W.B. Jone and has published in prestigious journals such as Journal of Dental Research, Pattern Recognition and SIAM Journal on Computing.

In The Last Decade

Hsueh-I Lu

27 papers receiving 365 citations

Author Peers

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

Author Last Decade Papers Cites
Hsueh-I Lu 144 136 107 58 54 31 393
Tadao Takaoka 118 0.8× 199 1.5× 162 1.5× 32 0.6× 68 1.3× 50 401
Biing-Feng Wang 252 1.8× 113 0.8× 76 0.7× 103 1.8× 38 0.7× 51 424
Omer Berkman 119 0.8× 194 1.4× 253 2.4× 79 1.4× 42 0.8× 17 396
Theis Rauhe 141 1.0× 219 1.6× 246 2.3× 64 1.1× 59 1.1× 26 423
Frank Rubin 127 0.9× 88 0.6× 184 1.7× 105 1.8× 30 0.6× 31 438
P. M. Camerini 115 0.8× 190 1.4× 70 0.7× 20 0.3× 38 0.7× 19 388
F. Dehne 184 1.3× 75 0.6× 99 0.9× 61 1.1× 54 1.0× 36 424
Jop F. Sibeyn 277 1.9× 101 0.7× 92 0.9× 97 1.7× 12 0.2× 51 358
Raphaël Clifford 60 0.4× 110 0.8× 282 2.6× 45 0.8× 13 0.2× 40 436
Jaroslav Opatrný 258 1.8× 139 1.0× 49 0.5× 22 0.4× 27 0.5× 43 367

Countries citing papers authored by Hsueh-I Lu

Since Specialization
Citations

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

Fields of papers citing papers by Hsueh-I Lu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Hsueh-I Lu. 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 Hsueh-I Lu. The network helps show where Hsueh-I Lu may publish in the future.

Co-authorship network of co-authors of Hsueh-I Lu

This figure shows the co-authorship network connecting the top 25 collaborators of Hsueh-I Lu. A scholar is included among the top collaborators of Hsueh-I Lu 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 Hsueh-I Lu. Hsueh-I Lu 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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