Yu Tan

37 total papers · 720 total citations
30 papers, 551 citations indexed

About

Yu Tan is a scholar working on Mechanical Engineering, Computational Mechanics and Building and Construction. According to data from OpenAlex, Yu Tan has authored 30 papers receiving a total of 551 indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Mechanical Engineering, 13 papers in Computational Mechanics and 9 papers in Building and Construction. Recurrent topics in Yu Tan's work include Metallurgical Processes and Thermodynamics (14 papers), Iron and Steelmaking Processes (13 papers) and Recycling and utilization of industrial and municipal waste in materials production (9 papers). Yu Tan is often cited by papers focused on Metallurgical Processes and Thermodynamics (14 papers), Iron and Steelmaking Processes (13 papers) and Recycling and utilization of industrial and municipal waste in materials production (9 papers). Yu Tan collaborates with scholars based in China. Yu Tan's co-authors include Xun Zhu, Hong Wang, Qiang Liao, Bin Ding, Xian-Yan He, Hui Zhang, Junjun Wu, Hua Li, Yudong Ding and Hui Yan and has published in prestigious journals such as SHILAP Revista de lepidopterología, Chemical Engineering Journal and Applied Energy.

In The Last Decade

Yu Tan

28 papers receiving 547 citations

Author Peers

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

Author						Papers	Cites
Yu Tan	382	214	147	76	65	30	551
Alejandro Calderón	369 1.0×	77 0.4×	56 0.4×	91 1.2×	74 1.1×	27	592
Lyazid Bouhala	156 0.4×	56 0.3×	122 0.8×	46 0.6×	86 1.3×	23	569
Bo Yin	162 0.4×	85 0.4×	57 0.4×	49 0.6×	134 2.1×	27	532
Juan M. Mejía	175 0.5×	57 0.3×	56 0.4×	84 1.1×	99 1.5×	38	490
Xu Yang	312 0.8×	78 0.4×	80 0.5×	36 0.5×	58 0.9×	55	557
Sanjay Chandra	396 1.0×	64 0.3×	90 0.6×	81 1.1×	176 2.7×	31	603
Julián D. Osorio	293 0.8×	51 0.2×	28 0.2×	88 1.2×	99 1.5×	37	610
Parameshwar Hiremath	406 1.1×	105 0.5×	98 0.7×	84 1.1×	25 0.4×	25	566
Yuan Zhang	293 0.8×	31 0.1×	56 0.4×	91 1.2×	57 0.9×	43	501
Fei Ma	459 1.2×	75 0.4×	27 0.2×	116 1.5×	102 1.6×	27	607

Countries citing papers authored by Yu Tan

Since Specialization

Citations

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

Fields of papers citing papers by Yu Tan

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yu Tan

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