Kui Dai

145 total papers · 597 total citations
63 papers, 378 citations indexed

About

Kui Dai is a scholar working on Electrical and Electronic Engineering, Hardware and Architecture and Computer Networks and Communications. According to data from OpenAlex, Kui Dai has authored 63 papers receiving a total of 378 indexed citations (citations by other indexed papers that have themselves been cited), including 31 papers in Electrical and Electronic Engineering, 28 papers in Hardware and Architecture and 14 papers in Computer Networks and Communications. Recurrent topics in Kui Dai's work include Parallel Computing and Optimization Techniques (12 papers), Radiation Effects in Electronics (10 papers) and VLSI and Analog Circuit Testing (9 papers). Kui Dai is often cited by papers focused on Parallel Computing and Optimization Techniques (12 papers), Radiation Effects in Electronics (10 papers) and VLSI and Analog Circuit Testing (9 papers). Kui Dai collaborates with scholars based in China and Japan. Kui Dai's co-authors include Zhiying Wang, Xuecheng Zou, Zhangqing He, Rui Gong, Libo Huang, Li Shen, Hongyi Lu, Lei Gao, Jie Deng and Wei Chen and has published in prestigious journals such as SHILAP Revista de lepidopterología, IEEE Journal of Solid-State Circuits and Journal of Materials Chemistry C.

In The Last Decade

Kui Dai

57 papers receiving 360 citations

Author Peers

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

Author						Papers	Cites
Kui Dai	230	209	101	56	52	63	378
Ramesh Bhakthavatchalu	227 1.0×	207 1.0×	51 0.5×	60 1.1×	35 0.7×	69	353
Luca Cassano	286 1.2×	232 1.1×	55 0.5×	84 1.5×	15 0.3×	64	402
Marc Reichenbach	170 0.7×	91 0.4×	62 0.6×	28 0.5×	29 0.6×	80	343
Ali Mahani	227 1.0×	85 0.4×	157 1.6×	128 2.3×	46 0.9×	67	422
Yuxiang Fu	231 1.0×	54 0.3×	59 0.6×	90 1.6×	45 0.9×	66	356
Masaya Yoshikawa	152 0.7×	188 0.9×	40 0.4×	164 2.9×	44 0.8×	113	336
M. Nirmala Devi	223 1.0×	141 0.7×	52 0.5×	88 1.6×	16 0.3×	95	416
Amlan Ganguly	224 1.0×	94 0.4×	131 1.3×	68 1.2×	18 0.3×	42	354
Weixia Xu	216 0.9×	89 0.4×	119 1.2×	141 2.5×	15 0.3×	68	436
Haris Javaid	163 0.7×	273 1.3×	235 2.3×	35 0.6×	27 0.5×	44	389

Countries citing papers authored by Kui Dai

Since Specialization

Citations

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

Fields of papers citing papers by Kui Dai

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Kui Dai

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