Jun Zhu

128 total papers · 3.6k total citations
106 papers, 2.9k citations indexed

About

Jun Zhu is a scholar working on Pollution, Soil Science and Industrial and Manufacturing Engineering. According to data from OpenAlex, Jun Zhu has authored 106 papers receiving a total of 2.9k indexed citations (citations by other indexed papers that have themselves been cited), including 45 papers in Pollution, 29 papers in Soil Science and 23 papers in Industrial and Manufacturing Engineering. Recurrent topics in Jun Zhu's work include Heavy metals in environment (29 papers), Soil Carbon and Nitrogen Dynamics (27 papers) and Adsorption and biosorption for pollutant removal (18 papers). Jun Zhu is often cited by papers focused on Heavy metals in environment (29 papers), Soil Carbon and Nitrogen Dynamics (27 papers) and Adsorption and biosorption for pollutant removal (18 papers). Jun Zhu collaborates with scholars based in China, Italy and United States. Jun Zhu's co-authors include Hongqing Hu, Qingling Fu, A. Violante, Qiaoyun Huang, Massimo Pigna, Vincenza Cozzolino, Ruili Gao, Antonio Giandonato Caporale, Yonghong Liu and Zhenli He and has published in prestigious journals such as The Science of The Total Environment, Journal of Hazardous Materials and Chemical Engineering Journal.

In The Last Decade

Jun Zhu

100 papers receiving 2.9k citations

Author Peers

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

Author Last Decade Papers Cites
Jun Zhu 931 687 680 584 485 106 2.9k
Qingling Fu 1.3k 1.4× 906 1.3× 537 0.8× 452 0.8× 447 0.9× 109 3.0k
Jianming Xue 1.2k 1.3× 734 1.1× 624 0.9× 386 0.7× 484 1.0× 126 3.5k
María Teresa Barral 1.0k 1.1× 618 0.9× 755 1.1× 528 0.9× 575 1.2× 121 3.3k
Lin Luo 1.5k 1.6× 914 1.3× 580 0.9× 389 0.7× 444 0.9× 74 3.5k
Tom Sizmur 1.6k 1.8× 751 1.1× 826 1.2× 358 0.6× 457 0.9× 71 3.5k
Jie Ma 1.4k 1.5× 476 0.7× 475 0.7× 721 1.2× 405 0.8× 147 3.6k
Yuxue Liu 926 1.0× 855 1.2× 1.0k 1.5× 292 0.5× 600 1.2× 77 3.3k
Shirong Zhang 1.6k 1.7× 1.1k 1.6× 513 0.8× 429 0.7× 507 1.0× 156 4.0k
Hongli Huang 1.5k 1.6× 867 1.3× 1.1k 1.6× 366 0.6× 504 1.0× 75 3.8k
Yu Yang 1.4k 1.5× 554 0.8× 464 0.7× 584 1.0× 273 0.6× 94 4.2k

Countries citing papers authored by Jun Zhu

Since Specialization
Citations

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

Fields of papers citing papers by Jun Zhu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jun Zhu

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