Xuan Hong

91 total papers · 2.7k total citations
63 papers, 1.2k citations indexed

About

Xuan Hong is a scholar working on Molecular Biology, Artificial Intelligence and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, Xuan Hong has authored 63 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Molecular Biology, 18 papers in Artificial Intelligence and 12 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Xuan Hong's work include Cryptography and Data Security (18 papers), Monoclonal and Polyclonal Antibodies Research (10 papers) and Cryptography and Residue Arithmetic (6 papers). Xuan Hong is often cited by papers focused on Cryptography and Data Security (18 papers), Monoclonal and Polyclonal Antibodies Research (10 papers) and Cryptography and Residue Arithmetic (6 papers). Xuan Hong collaborates with scholars based in China, United States and Switzerland. Xuan Hong's co-authors include A. J. Hopfinger, Lisa B. Shih, Yu Long, Kefei Chen, Zheng Gong, Neil L. Harrison, Matthew D. Krasowski, David M. Goldenberg, David L. Feldman and 良樹鷹津 and has published in prestigious journals such as PLoS ONE, Journal of Molecular Biology and Scientific Reports.

In The Last Decade

Xuan Hong

55 papers receiving 1.1k citations

Author Peers

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

Author						Papers	Cites
Xuan Hong	337	249	172	158	152	63	1.2k
Óscar Garnica	457 1.4×	88 0.4×	261 1.5×	158 1.0×	73 0.5×	91	1.2k
Xinrui Li	318 0.9×	140 0.6×	120 0.7×	69 0.4×	75 0.5×	59	1.3k
Xiaojian Wang	589 1.7×	192 0.8×	99 0.6×	30 0.2×	33 0.2×	75	1.4k
Frank Hermann	198 0.6×	167 0.7×	82 0.5×	139 0.9×	18 0.1×	82	1.1k
Matthias Großmann	539 1.6×	153 0.6×	154 0.9×	23 0.1×	63 0.4×	39	1.5k
Mayun Chen	328 1.0×	77 0.3×	28 0.2×	228 1.4×	148 1.0×	34	1.2k
Zhihua Li	517 1.5×	110 0.4×	22 0.1×	92 0.6×	80 0.5×	46	1.2k
Cheng‐Chung Cheng	247 0.7×	236 0.9×	23 0.1×	67 0.4×	91 0.6×	52	989
O. Tsave	187 0.6×	53 0.2×	128 0.7×	454 2.9×	99 0.7×	34	1.2k
Ran Duan	380 1.1×	35 0.1×	32 0.2×	101 0.6×	47 0.3×	66	1.2k

Countries citing papers authored by Xuan Hong

Since Specialization

Citations

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

Fields of papers citing papers by Xuan Hong

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Xuan Hong

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