Guohua Jin

24 total papers · 588 total citations
22 papers, 504 citations indexed

About

Guohua Jin is a scholar working on Electrical and Electronic Engineering, Materials Chemistry and Bioengineering. According to data from OpenAlex, Guohua Jin has authored 22 papers receiving a total of 504 indexed citations (citations by other indexed papers that have themselves been cited), including 22 papers in Electrical and Electronic Engineering, 13 papers in Materials Chemistry and 9 papers in Bioengineering. Recurrent topics in Guohua Jin's work include Gas Sensing Nanomaterials and Sensors (19 papers), ZnO doping and properties (11 papers) and Analytical Chemistry and Sensors (9 papers). Guohua Jin is often cited by papers focused on Gas Sensing Nanomaterials and Sensors (19 papers), ZnO doping and properties (11 papers) and Analytical Chemistry and Sensors (9 papers). Guohua Jin collaborates with scholars based in China and United States. Guohua Jin's co-authors include Jianqiao Liu, Zhaoxia Zhai, Ce Fu, Qianru Zhang, Liting Wu, Ningning Su, Ye Hong, Chuyao Luo, Yuqing Zhao and Xu Wu and has published in prestigious journals such as SHILAP Revista de lepidopterología, Chemical Engineering Journal and Sensors.

In The Last Decade

Guohua Jin

22 papers receiving 496 citations

Author Peers

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

Author Last Decade Papers Cites
Guohua Jin 368 287 152 152 125 22 504
Zhaoxia Zhai 386 1.0× 319 1.1× 198 1.3× 158 1.0× 129 1.0× 28 583
Linfeng Su 342 0.9× 267 0.9× 187 1.2× 155 1.0× 128 1.0× 19 577
Muhammad Hamid Raza 316 0.9× 202 0.7× 104 0.7× 129 0.8× 111 0.9× 30 502
Dinesh Veeran Ponnuvelu 333 0.9× 332 1.2× 120 0.8× 218 1.4× 142 1.1× 21 581
Belal Salah 304 0.8× 356 1.2× 256 1.7× 139 0.9× 63 0.5× 27 606
Lijuan An 316 0.9× 219 0.8× 75 0.5× 115 0.8× 84 0.7× 19 483
Juan Pablo Morán-Lázaro 354 1.0× 229 0.8× 56 0.4× 167 1.1× 78 0.6× 31 490
Afrasiab Ur Rehman 480 1.3× 318 1.1× 87 0.6× 194 1.3× 213 1.7× 19 604
P. Anilkumar 170 0.5× 268 0.9× 242 1.6× 77 0.5× 46 0.4× 26 490
Moussa Bougouma 369 1.0× 378 1.3× 51 0.3× 107 0.7× 83 0.7× 21 564

Countries citing papers authored by Guohua Jin

Since Specialization
Citations

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

Fields of papers citing papers by Guohua Jin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Guohua Jin

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