Journal of Textile Engineering

359 papers and 1.2k indexed citations i.

About

The 359 papers published in Journal of Textile Engineering in the last decades have received a total of 1.2k indexed citations. Papers published in Journal of Textile Engineering usually cover Polymers and Plastics (206 papers), Building and Construction (48 papers) and Mechanical Engineering (45 papers) specifically the topics of Textile materials and evaluations (176 papers), Dyeing and Modifying Textile Fibers (45 papers) and Advanced Sensor and Energy Harvesting Materials (29 papers). The most active scholars publishing in Journal of Textile Engineering are Yoshiyuki Iemoto, Shuichi Tanoue, Mitsuo Matsudaira, Kazunori Yasuda, Kuo‐Chung Cheng, Sachiko Sukıgara, Yoshihiro Yamashita, Hua Qiu, Hiroyuki KANAI and Hideyuki Uematsu.

In The Last Decade

Fields of papers published in Journal of Textile Engineering

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers published in Journal of Textile Engineering. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers published in Journal of Textile Engineering.

Countries where authors publish in Journal of Textile Engineering

Since Specialization
Citations

This map shows the geographic impact of research published in Journal of Textile Engineering. 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 papers published in Journal of Textile Engineering with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Journal of Textile Engineering more than expected).

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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