Guangdong Bai

173 total papers · 1.8k total citations
103 papers, 1.0k citations indexed

About

Guangdong Bai is a scholar working on Artificial Intelligence, Signal Processing and Information Systems. According to data from OpenAlex, Guangdong Bai has authored 103 papers receiving a total of 1.0k indexed citations (citations by other indexed papers that have themselves been cited), including 54 papers in Artificial Intelligence, 48 papers in Signal Processing and 45 papers in Information Systems. Recurrent topics in Guangdong Bai's work include Advanced Malware Detection Techniques (45 papers), Adversarial Robustness in Machine Learning (18 papers) and Network Security and Intrusion Detection (17 papers). Guangdong Bai is often cited by papers focused on Advanced Malware Detection Techniques (45 papers), Adversarial Robustness in Machine Learning (18 papers) and Network Security and Intrusion Detection (17 papers). Guangdong Bai collaborates with scholars based in Australia, China and Singapore. Guangdong Bai's co-authors include Jin Song Dong, Yun Lin, Andrew Paverd, Pardeep Kumar, Andrew Martin, Yanjun Zhang, Naipeng Dong, Jun Sun, Kailong Wang and Yao Guo and has published in prestigious journals such as SHILAP Revista de lepidopterología, Scientific Reports and IEEE Communications Surveys & Tutorials.

In The Last Decade

Guangdong Bai

94 papers receiving 973 citations

Hit Papers

normalize citations (0→100%) normalize lifespan (0→100%) sort by overperformance

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation benchmark for papers published in the same subfield and year, or reaches the top citation threshold in at least one of its specific research topics.

Smart Grid Metering Networks: A Survey on Security, Privacy and Open Research Issues

2019 231 citations Pardeep Kumar, Yun Lin et al. IEEE Communications Surveys & Tutorials profile →

Author Peers

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

Author						Papers	Cites
Guangdong Bai	466	434	306	296	192	103	1.0k
Makan Pourzandi	613 1.3×	380 0.9×	170 0.6×	614 2.1×	142 0.7×	85	1.1k
Sandro Etalle	371 0.8×	537 1.2×	223 0.7×	580 2.0×	102 0.5×	124	1.1k
Xiaohong Li	491 1.1×	406 0.9×	279 0.9×	467 1.6×	82 0.4×	120	1.2k
Sean Peisert	379 0.8×	333 0.8×	275 0.9×	465 1.6×	323 1.7×	95	1.2k
Hongsong Zhu	322 0.7×	467 1.1×	242 0.8×	444 1.5×	76 0.4×	92	1.2k
Deborah Frincke	468 1.0×	377 0.9×	273 0.9×	492 1.7×	377 2.0×	61	1.1k
Christos Xenakis	459 1.0×	325 0.7×	265 0.9×	538 1.8×	109 0.6×	109	1.0k
Martín Ochoa	406 0.9×	486 1.1×	534 1.7×	626 2.1×	140 0.7×	51	1.0k
Alessio Merlo	527 1.1×	305 0.7×	543 1.8×	524 1.8×	52 0.3×	94	1.1k
Bradley Reaves	480 1.0×	391 0.9×	536 1.8×	573 1.9×	296 1.5×	46	1.1k

Countries citing papers authored by Guangdong Bai

Since Specialization

Citations

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

Fields of papers citing papers by Guangdong Bai

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Guangdong Bai

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