Mingyu Fan

83 total papers · 859 total citations
46 papers, 573 citations indexed

About

Mingyu Fan is a scholar working on Computer Networks and Communications, Artificial Intelligence and Signal Processing. According to data from OpenAlex, Mingyu Fan has authored 46 papers receiving a total of 573 indexed citations (citations by other indexed papers that have themselves been cited), including 25 papers in Computer Networks and Communications, 20 papers in Artificial Intelligence and 10 papers in Signal Processing. Recurrent topics in Mingyu Fan's work include Network Security and Intrusion Detection (13 papers), Advanced Malware Detection Techniques (9 papers) and Chaos-based Image/Signal Encryption (6 papers). Mingyu Fan is often cited by papers focused on Network Security and Intrusion Detection (13 papers), Advanced Malware Detection Techniques (9 papers) and Chaos-based Image/Signal Encryption (6 papers). Mingyu Fan collaborates with scholars based in China, Canada and United States. Mingyu Fan's co-authors include Junhai Luo, Xue Liu, Bless Lord Y. Agbley, Defu Liu, Guangwei Wang, Tao Zhang, Yong Feng, Changping Liu, Stephen S. Yau and Laurence T. Yang and has published in prestigious journals such as SHILAP Revista de lepidopterología, The Science of The Total Environment and IEEE Communications Surveys & Tutorials.

In The Last Decade

Mingyu Fan

39 papers receiving 513 citations

Author Peers

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

Author						Papers	Cites
Mingyu Fan	448	162	115	58	45	46	573
Behrang Barekatain	371 0.8×	220 1.4×	98 0.9×	74 1.3×	43 1.0×	55	547
Muhammad Shuaib Siddiqui	358 0.8×	200 1.2×	78 0.7×	55 0.9×	38 0.8×	44	501
Chuanshan Gao	557 1.2×	215 1.3×	118 1.0×	61 1.1×	31 0.7×	47	655
Gino Carrozzo	398 0.9×	265 1.6×	72 0.6×	80 1.4×	59 1.3×	50	560
Brian J. d’Auriol	401 0.9×	87 0.5×	130 1.1×	55 0.9×	77 1.7×	49	574
K.H. Yeung	469 1.0×	291 1.8×	55 0.5×	94 1.6×	26 0.6×	57	639
Sami Souihi	508 1.1×	141 0.9×	154 1.3×	97 1.7×	35 0.8×	43	600
Behzad Akbari	542 1.2×	191 1.2×	65 0.6×	116 2.0×	81 1.8×	57	597
Sugata Sanyal	324 0.7×	117 0.7×	105 0.9×	84 1.4×	50 1.1×	34	502
Alexander Clemm	482 1.1×	132 0.8×	95 0.8×	184 3.2×	73 1.6×	69	630

Countries citing papers authored by Mingyu Fan

Since Specialization

Citations

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

Fields of papers citing papers by Mingyu Fan

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mingyu Fan

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