Yao Dai

38 total papers · 709 total citations
22 papers, 498 citations indexed

About

Yao Dai is a scholar working on Computer Networks and Communications, Software and Hardware and Architecture. According to data from OpenAlex, Yao Dai has authored 22 papers receiving a total of 498 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Computer Networks and Communications, 6 papers in Software and 4 papers in Hardware and Architecture. Recurrent topics in Yao Dai's work include Software Reliability and Analysis Research (6 papers), Distributed systems and fault tolerance (5 papers) and Parallel Computing and Optimization Techniques (4 papers). Yao Dai is often cited by papers focused on Software Reliability and Analysis Research (6 papers), Distributed systems and fault tolerance (5 papers) and Parallel Computing and Optimization Techniques (4 papers). Yao Dai collaborates with scholars based in United States, China and Singapore. Yao Dai's co-authors include Kim Leng Poh, Min Xie, Gregory Levitin, Bo Yang, C. D. Lai, Elisa Bertino, Xukai Zou, Hanoch Ben-Haim, Ping Yang and Sheryl Hui-Xian Ng and has published in prestigious journals such as Scientific Reports, Materials Science and Engineering A and Computers & Industrial Engineering.

In The Last Decade

Yao Dai

21 papers receiving 462 citations

Author Peers

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

Author						Papers	Cites
Yao Dai	266	167	151	129	109	22	498
Jean-Claude Laprie	223 0.8×	248 1.5×	141 0.9×	135 1.0×	66 0.6×	27	532
Yuan-Shun Dai	193 0.7×	174 1.0×	166 1.1×	168 1.3×	52 0.5×	12	448
D.E. Eckhardt	167 0.6×	319 1.9×	172 1.1×	111 0.9×	34 0.3×	14	450
Tod Courtney	289 1.1×	130 0.8×	126 0.8×	50 0.4×	108 1.0×	25	577
Indika Meedeniya	291 1.1×	258 1.5×	207 1.4×	59 0.5×	75 0.7×	17	541
Sungdeok Cha	162 0.6×	265 1.6×	183 1.2×	51 0.4×	52 0.5×	41	532
Dong Tang	350 1.3×	276 1.7×	120 0.8×	110 0.9×	171 1.6×	34	605
George B. Finelli	80 0.3×	387 2.3×	159 1.1×	149 1.2×	79 0.7×	12	505
Eunkyoung Jee	119 0.4×	168 1.0×	123 0.8×	62 0.5×	62 0.6×	45	514
Henrik Lönn	137 0.5×	179 1.1×	109 0.7×	87 0.7×	189 1.7×	51	488

Countries citing papers authored by Yao Dai

Since Specialization

Citations

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

Fields of papers citing papers by Yao Dai

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yao Dai

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