Xinmin Tao

51 total papers · 962 total citations
40 papers, 740 citations indexed

About

Xinmin Tao is a scholar working on Artificial Intelligence, Control and Systems Engineering and Electrical and Electronic Engineering. According to data from OpenAlex, Xinmin Tao has authored 40 papers receiving a total of 740 indexed citations (citations by other indexed papers that have themselves been cited), including 23 papers in Artificial Intelligence, 16 papers in Control and Systems Engineering and 14 papers in Electrical and Electronic Engineering. Recurrent topics in Xinmin Tao's work include Imbalanced Data Classification Techniques (12 papers), Machine Fault Diagnosis Techniques (9 papers) and Fault Detection and Control Systems (8 papers). Xinmin Tao is often cited by papers focused on Imbalanced Data Classification Techniques (12 papers), Machine Fault Diagnosis Techniques (9 papers) and Fault Detection and Control Systems (8 papers). Xinmin Tao collaborates with scholars based in China and United States. Xinmin Tao's co-authors include Rui Liu, Wenjie Guo, Junrong Zou, Chao Ren, Qing He, Qing Li, Chenxi Li, Xiaohan Zhang, Wei Chen and Xiangke Li and has published in prestigious journals such as Expert Systems with Applications, Information Sciences and Neural Networks.

In The Last Decade

Xinmin Tao

37 papers receiving 720 citations

Author Peers

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

Author						Papers	Cites
Xinmin Tao	495	168	157	128	87	40	740
Kaixiang Yang	517 1.0×	199 1.2×	119 0.8×	210 1.6×	55 0.6×	83	856
Xibei Yang	530 1.1×	147 0.9×	44 0.3×	114 0.9×	29 0.3×	26	677
Şeyda Ertekin	544 1.1×	206 1.2×	51 0.3×	133 1.0×	24 0.3×	32	903
Chin-Chin Lin	314 0.6×	127 0.8×	232 1.5×	129 1.0×	58 0.7×	17	738
Fulufhelo V. Nelwamondo	230 0.5×	103 0.6×	109 0.7×	138 1.1×	68 0.8×	86	725
Domingo Ortíz-Boyer	624 1.3×	89 0.5×	56 0.4×	216 1.7×	33 0.4×	23	871
Andrei Petrovski	435 0.9×	147 0.9×	91 0.6×	68 0.5×	36 0.4×	76	906
Samad Nejatian	367 0.7×	235 1.4×	97 0.6×	155 1.2×	22 0.3×	62	799
João P. P. Gomes	318 0.6×	68 0.4×	203 1.3×	97 0.8×	52 0.6×	91	819
Daniela Sánchez	431 0.9×	31 0.2×	87 0.6×	155 1.2×	40 0.5×	38	869

Countries citing papers authored by Xinmin Tao

Since Specialization

Citations

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

Fields of papers citing papers by Xinmin Tao

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Xinmin Tao

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