Yao Da

28 total papers · 517 total citations
13 papers, 424 citations indexed

About

Yao Da is a scholar working on Electrical and Electronic Engineering, Control and Systems Engineering and Molecular Biology. According to data from OpenAlex, Yao Da has authored 13 papers receiving a total of 424 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Electrical and Electronic Engineering, 6 papers in Control and Systems Engineering and 2 papers in Molecular Biology. Recurrent topics in Yao Da's work include Electric Motor Design and Analysis (6 papers), Machine Fault Diagnosis Techniques (3 papers) and Multilevel Inverters and Converters (2 papers). Yao Da is often cited by papers focused on Electric Motor Design and Analysis (6 papers), Machine Fault Diagnosis Techniques (3 papers) and Multilevel Inverters and Converters (2 papers). Yao Da collaborates with scholars based in United States, China and Israel. Yao Da's co-authors include Mahesh Krishnamurthy, Xiaodong Shi, Alireza Khaligh, Fei Sang, Jiawei Wei, Zuhong Lu, Peng Jiang, Xiao Sun, Gennadi Y. Sizov and G.L. Skibinski and has published in prestigious journals such as IEEE Transactions on Power Electronics, Computer Methods and Programs in Biomedicine and 2022 IEEE Energy Conversion Congress and Exposition (ECCE).

In The Last Decade

Yao Da

11 papers receiving 418 citations

Author Peers

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

Author						Papers	Cites
Yao Da	286	275	139	126	31	13	424
N. Abed	307 1.1×	320 1.2×	151 1.1×	175 1.4×	41 1.3×	26	483
Noboru Kurihara	297 1.0×	271 1.0×	173 1.2×	72 0.6×	12 0.4×	18	367
Seokbae Moon	287 1.0×	309 1.1×	126 0.9×	112 0.9×	42 1.4×	12	435
M.S. Arefeen	399 1.4×	296 1.1×	81 0.6×	81 0.6×	23 0.7×	22	487
Adel Ghoggal	220 0.8×	408 1.5×	94 0.7×	203 1.6×	72 2.3×	29	467
J. Arellano-Padilla	291 1.0×	243 0.9×	84 0.6×	126 1.0×	22 0.7×	26	391
A. Tenhunen	310 1.1×	302 1.1×	158 1.1×	140 1.1×	29 0.9×	18	390
Jean Faucher	121 0.4×	407 1.5×	34 0.2×	247 2.0×	76 2.5×	10	442
D.J. Gritter	365 1.3×	246 0.9×	77 0.6×	103 0.8×	23 0.7×	10	460
Moinul Shahidul Haque	275 1.0×	174 0.6×	34 0.2×	59 0.5×	28 0.9×	22	391

Countries citing papers authored by Yao Da

Since Specialization

Citations

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

Fields of papers citing papers by Yao Da

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yao Da

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