Yuhong Nan

48 total papers · 656 total citations
27 papers, 363 citations indexed

About

Yuhong Nan is a scholar working on Information Systems, Signal Processing and Artificial Intelligence. According to data from OpenAlex, Yuhong Nan has authored 27 papers receiving a total of 363 indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Information Systems, 17 papers in Signal Processing and 11 papers in Artificial Intelligence. Recurrent topics in Yuhong Nan's work include Advanced Malware Detection Techniques (17 papers), Blockchain Technology Applications and Security (8 papers) and Digital and Cyber Forensics (6 papers). Yuhong Nan is often cited by papers focused on Advanced Malware Detection Techniques (17 papers), Blockchain Technology Applications and Security (8 papers) and Digital and Cyber Forensics (6 papers). Yuhong Nan collaborates with scholars based in China, United States and Hong Kong. Yuhong Nan's co-authors include Zhemin Yang, Min Yang, Yuan Zhang, Zibin Zheng, Shunfan Zhou, Guofei Gu, XiaoFeng Wang, Xiao Chen, Zhiyun Qian and Dongyan Xu and has published in prestigious journals such as IEEE Transactions on Software Engineering, IEEE Internet of Things Journal and IEEE Transactions on Information Forensics and Security.

In The Last Decade

Yuhong Nan

21 papers receiving 346 citations

Author Peers

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

Author						Papers	Cites
Yuhong Nan	241	230	133	114	41	27	363
Luca Verderame	229 1.0×	200 0.9×	119 0.9×	97 0.9×	57 1.4×	34	363
Howard Chivers	217 0.9×	117 0.5×	122 0.9×	94 0.8×	37 0.9×	31	329
Lei Cen	163 0.7×	160 0.7×	136 1.0×	74 0.6×	41 1.0×	16	298
Victor Clincy	158 0.7×	105 0.5×	134 1.0×	91 0.8×	24 0.6×	31	296
Xianghang Mi	170 0.7×	114 0.5×	120 0.9×	141 1.2×	45 1.1×	17	332
Juan Ramón Bermejo Higuera	194 0.8×	118 0.5×	125 0.9×	116 1.0×	75 1.8×	26	359
Haehyun Cho	204 0.8×	225 1.0×	141 1.1×	181 1.6×	34 0.8×	32	346
Cataldo Basile	128 0.5×	109 0.5×	246 1.8×	155 1.4×	52 1.3×	40	383
Inah Omoronyia	217 0.9×	54 0.2×	82 0.6×	119 1.0×	61 1.5×	30	350
Dale Lindskog	310 1.3×	233 1.0×	193 1.5×	110 1.0×	24 0.6×	45	399

Countries citing papers authored by Yuhong Nan

Since Specialization

Citations

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

Fields of papers citing papers by Yuhong Nan

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yuhong Nan

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