Jin Chu

37 total papers · 1.0k total citations
27 papers, 832 citations indexed

About

Jin Chu is a scholar working on Materials Chemistry, Electrical and Electronic Engineering and Biomedical Engineering. According to data from OpenAlex, Jin Chu has authored 27 papers receiving a total of 832 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Materials Chemistry, 13 papers in Electrical and Electronic Engineering and 7 papers in Biomedical Engineering. Recurrent topics in Jin Chu's work include Gas Sensing Nanomaterials and Sensors (12 papers), Carbon Nanotubes in Composites (7 papers) and Advanced Chemical Sensor Technologies (6 papers). Jin Chu is often cited by papers focused on Gas Sensing Nanomaterials and Sensors (12 papers), Carbon Nanotubes in Composites (7 papers) and Advanced Chemical Sensor Technologies (6 papers). Jin Chu collaborates with scholars based in China, Puerto Rico and United States. Jin Chu's co-authors include Haofei Shi, Peter Feng, Dapeng Wei, Linlong Tang, Xuefen Song, Wei Luo, Tianpeng Gao, Chunlei Du, Jun Yang and Xiaoyan Peng and has published in prestigious journals such as Applied Physics Letters, Journal of Materials Science and Sensors.

In The Last Decade

Jin Chu

25 papers receiving 813 citations

Author Peers

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

Author Last Decade Papers Cites
Jin Chu 453 441 329 168 151 27 832
Zhenming Chu 409 0.9× 377 0.9× 291 0.9× 151 0.9× 108 0.7× 36 791
Xiaoru Liu 414 0.9× 439 1.0× 514 1.6× 167 1.0× 58 0.4× 47 1.0k
Namsoo Lim 662 1.5× 479 1.1× 356 1.1× 134 0.8× 78 0.5× 33 929
Marco Bobinger 438 1.0× 501 1.1× 255 0.8× 128 0.8× 55 0.4× 35 754
Longfei Song 548 1.2× 298 0.7× 387 1.2× 100 0.6× 136 0.9× 45 838
Ayda Bouhamed 333 0.7× 651 1.5× 249 0.8× 363 2.2× 99 0.7× 45 968
Niina Halonen 505 1.1× 412 0.9× 376 1.1× 194 1.2× 128 0.8× 32 1.0k
Liliana C. Fernandes 254 0.6× 458 1.0× 211 0.6× 266 1.6× 62 0.4× 36 916
Jun‐Hyuk Kwak 352 0.8× 686 1.6× 161 0.5× 181 1.1× 110 0.7× 33 935
Yongzhao Xu 438 1.0× 474 1.1× 148 0.4× 100 0.6× 117 0.8× 31 784

Countries citing papers authored by Jin Chu

Since Specialization
Citations

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

Fields of papers citing papers by Jin Chu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jin Chu

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