Rui Dai

80 total papers · 1.4k total citations
42 papers, 849 citations indexed

About

Rui Dai is a scholar working on Artificial Intelligence, Computer Networks and Communications and Computer Vision and Pattern Recognition. According to data from OpenAlex, Rui Dai has authored 42 papers receiving a total of 849 indexed citations (citations by other indexed papers that have themselves been cited), including 23 papers in Artificial Intelligence, 17 papers in Computer Networks and Communications and 12 papers in Computer Vision and Pattern Recognition. Recurrent topics in Rui Dai's work include Anomaly Detection Techniques and Applications (14 papers), Network Security and Intrusion Detection (10 papers) and Human Pose and Action Recognition (9 papers). Rui Dai is often cited by papers focused on Anomaly Detection Techniques and Applications (14 papers), Network Security and Intrusion Detection (10 papers) and Human Pose and Action Recognition (9 papers). Rui Dai collaborates with scholars based in China, United States and France. Rui Dai's co-authors include Ian F. Akyildiz, Srijan Das, Dan Tang, Pu Wang, François Brémond, Gianpiero Francesca, Lorenzo Garattoni, Xiong Li, Yi Guan and Bin He and has published in prestigious journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, Sensors and Fuzzy Sets and Systems.

In The Last Decade

Rui Dai

40 papers receiving 829 citations

Author Peers

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

Author						Papers	Cites
Rui Dai	417	334	258	121	104	42	849
Len Hamey	496 1.2×	284 0.9×	224 0.9×	48 0.4×	194 1.9×	61	936
Sultan Almotairi	256 0.6×	125 0.4×	228 0.9×	83 0.7×	52 0.5×	57	840
Xiang Wang	385 0.9×	118 0.4×	202 0.8×	196 1.6×	129 1.2×	78	813
K. Mehrotra	586 1.4×	178 0.5×	167 0.6×	208 1.7×	62 0.6×	41	1.0k
Jiawei Shao	358 0.9×	286 0.9×	154 0.6×	217 1.8×	34 0.3×	43	854
Ridha Ejbali	286 0.7×	155 0.5×	482 1.9×	85 0.7×	83 0.8×	94	828
Jing Yang	271 0.6×	107 0.3×	360 1.4×	85 0.7×	60 0.6×	49	762
Fernando Gama	524 1.3×	218 0.7×	224 0.9×	192 1.6×	32 0.3×	44	908
Mehdi Agha Sarram	409 1.0×	186 0.6×	283 1.1×	111 0.9×	41 0.4×	38	891
Kuen Hung Tsoi	189 0.5×	260 0.8×	188 0.7×	156 1.3×	28 0.3×	35	733

Countries citing papers authored by Rui Dai

Since Specialization

Citations

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

Fields of papers citing papers by Rui Dai

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Rui Dai

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