Bo Fu

111 total papers · 1.3k total citations
63 papers, 687 citations indexed

About

Bo Fu is a scholar working on Artificial Intelligence, Computer Networks and Communications and Computer Vision and Pattern Recognition. According to data from OpenAlex, Bo Fu has authored 63 papers receiving a total of 687 indexed citations (citations by other indexed papers that have themselves been cited), including 22 papers in Artificial Intelligence, 18 papers in Computer Networks and Communications and 16 papers in Computer Vision and Pattern Recognition. Recurrent topics in Bo Fu's work include Data Visualization and Analytics (9 papers), Biomedical Text Mining and Ontologies (8 papers) and Network Security and Intrusion Detection (8 papers). Bo Fu is often cited by papers focused on Data Visualization and Analytics (9 papers), Biomedical Text Mining and Ontologies (8 papers) and Network Security and Intrusion Detection (8 papers). Bo Fu collaborates with scholars based in United States, China and Ireland. Bo Fu's co-authors include Todd J. Freeborn, Yang Xiao, Hui Zeng, Hongmei Deng, Ben Steichen, C. L. Philip Chen, Declan O’Sullivan, Rob Brennan, Margaret‐Anne Storey and Wei Liang and has published in prestigious journals such as IEEE Communications Surveys & Tutorials, IEEE Access and Sensors.

In The Last Decade

Bo Fu

60 papers receiving 658 citations

Author Peers

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

Author						Papers	Cites
Bo Fu	269	230	131	124	109	63	687
Débora C. Muchaluat-Saade	313 1.2×	112 0.5×	180 1.4×	122 1.0×	58 0.5×	154	790
Maria Valero	184 0.7×	147 0.6×	171 1.3×	190 1.5×	210 1.9×	60	695
Kamran Siddique	196 0.7×	72 0.3×	135 1.0×	211 1.7×	58 0.5×	42	728
Ana Madureira	78 0.3×	62 0.3×	43 0.3×	188 1.5×	34 0.3×	90	726
Ryan Alturki	230 0.9×	117 0.5×	76 0.6×	193 1.6×	25 0.2×	68	705
Liberios Vokorokos	298 1.1×	48 0.2×	103 0.8×	287 2.3×	29 0.3×	84	704
Mingliang Hou	148 0.6×	103 0.4×	83 0.6×	192 1.5×	46 0.4×	46	597
Mohammad A. Haque	160 0.6×	107 0.5×	137 1.0×	63 0.5×	102 0.9×	40	619
U. Venkanna	240 0.9×	171 0.7×	106 0.8×	86 0.7×	48 0.4×	69	715
Sian Lun Lau	173 0.6×	130 0.6×	178 1.4×	90 0.7×	54 0.5×	67	604

Countries citing papers authored by Bo Fu

Since Specialization

Citations

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

Fields of papers citing papers by Bo Fu

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Bo Fu

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