Qi I. Dai

70 total papers · 467 total citations
39 papers, 310 citations indexed

About

Qi I. Dai is a scholar working on Electrical and Electronic Engineering, Atomic and Molecular Physics, and Optics and Aerospace Engineering. According to data from OpenAlex, Qi I. Dai has authored 39 papers receiving a total of 310 indexed citations (citations by other indexed papers that have themselves been cited), including 27 papers in Electrical and Electronic Engineering, 21 papers in Atomic and Molecular Physics, and Optics and 11 papers in Aerospace Engineering. Recurrent topics in Qi I. Dai's work include Electromagnetic Simulation and Numerical Methods (20 papers), Electromagnetic Scattering and Analysis (19 papers) and Microwave Engineering and Waveguides (8 papers). Qi I. Dai is often cited by papers focused on Electromagnetic Simulation and Numerical Methods (20 papers), Electromagnetic Scattering and Analysis (19 papers) and Microwave Engineering and Waveguides (8 papers). Qi I. Dai collaborates with scholars based in United States, Hong Kong and China. Qi I. Dai's co-authors include Weng Cho Chew, Wei E. I. Sha, Li Jun Jiang, Sheng Sun, Yanlin Li, Jun Wu, Lin Xie, Xiaofeng Chang, Qi Qi and Kun Lü and has published in prestigious journals such as Applied Catalysis B: Environmental, IEEE Transactions on Antennas and Propagation and IEEE Transactions on Magnetics.

In The Last Decade

Qi I. Dai

32 papers receiving 300 citations

Author Peers

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

Author						Papers	Cites
Qi I. Dai	188	154	91	31	29	39	310
K. Yashiro	188 1.0×	137 0.9×	56 0.6×	34 1.1×	13 0.4×	53	309
Alex J. Yuffa	77 0.4×	90 0.6×	52 0.6×	51 1.6×	23 0.8×	25	312
James B. Heaney	148 0.8×	70 0.5×	78 0.9×	24 0.8×	5 0.2×	38	305
Gopal Verma	129 0.7×	148 1.0×	26 0.3×	29 0.9×	29 1.0×	36	335
Lei Wang	190 1.0×	43 0.3×	41 0.5×	48 1.5×	10 0.3×	33	354
Miao Liang	107 0.6×	81 0.5×	21 0.2×	17 0.5×	5 0.2×	49	300
Dong Sun	218 1.2×	155 1.0×	23 0.3×	28 0.9×	7 0.2×	51	305
Richard Ness	233 1.2×	133 0.9×	46 0.5×	16 0.5×	4 0.1×	42	333
H. Safa	157 0.8×	85 0.6×	174 1.9×	6 0.2×	33 1.1×	48	323
Liu Shang-qian	89 0.5×	21 0.1×	150 1.6×	37 1.2×	8 0.3×	32	302

Countries citing papers authored by Qi I. Dai

Since Specialization

Citations

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

Fields of papers citing papers by Qi I. Dai

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Qi I. Dai

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