Mi Tang

51 total papers · 562 total citations
38 papers, 420 citations indexed

About

Mi Tang is a scholar working on Electrical and Electronic Engineering, Control and Systems Engineering and Mechanical Engineering. According to data from OpenAlex, Mi Tang has authored 38 papers receiving a total of 420 indexed citations (citations by other indexed papers that have themselves been cited), including 27 papers in Electrical and Electronic Engineering, 21 papers in Control and Systems Engineering and 5 papers in Mechanical Engineering. Recurrent topics in Mi Tang's work include Multilevel Inverters and Converters (17 papers), Sensorless Control of Electric Motors (16 papers) and Iterative Learning Control Systems (13 papers). Mi Tang is often cited by papers focused on Multilevel Inverters and Converters (17 papers), Sensorless Control of Electric Motors (16 papers) and Iterative Learning Control Systems (13 papers). Mi Tang collaborates with scholars based in United Kingdom, Italy and China. Mi Tang's co-authors include Pericle Zanchetta, Shafiq Odhano, Andrea Formentini, Alberto Gaeta, Stefano Bifaretti, Ming Yang, Xiaosheng Liu, Dianguo Xu, Πέτρος Καραμανάκος and Bingjun Li and has published in prestigious journals such as SHILAP Revista de lepidopterología, IEEE Transactions on Industrial Electronics and IEEE Transactions on Power Electronics.

In The Last Decade

Mi Tang

33 papers receiving 414 citations

Author Peers

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

Author						Papers	Cites
Mi Tang	310	266	78	34	31	38	420
Mingjin Hu	362 1.2×	241 0.9×	78 1.0×	19 0.6×	64 2.1×	42	421
Germán A. Ramos	209 0.7×	422 1.6×	85 1.1×	31 0.9×	35 1.1×	50	494
Mohammad Hasan Ravanji	386 1.2×	296 1.1×	45 0.6×	85 2.5×	18 0.6×	29	448
Kenji Amei	358 1.2×	245 0.9×	95 1.2×	25 0.7×	21 0.7×	46	440
V. Valverde	358 1.2×	310 1.2×	44 0.6×	22 0.6×	51 1.6×	42	438
Wei Xu	341 1.1×	141 0.5×	48 0.6×	11 0.3×	20 0.6×	50	412
Zwe-Lee Gaing	403 1.3×	126 0.5×	57 0.7×	17 0.5×	62 2.0×	25	449
F. Javier Díaz	402 1.3×	188 0.7×	75 1.0×	47 1.4×	11 0.4×	51	475
Yongli Li	362 1.2×	387 1.5×	33 0.4×	76 2.2×	11 0.4×	28	490
Binxing Li	384 1.2×	216 0.8×	63 0.8×	12 0.4×	14 0.5×	45	444

Countries citing papers authored by Mi Tang

Since Specialization

Citations

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

Fields of papers citing papers by Mi Tang

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mi Tang

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