Jun Liang

58 total papers · 525 total citations
34 papers, 424 citations indexed

About

Jun Liang is a scholar working on Plant Science, Materials Chemistry and Biomedical Engineering. According to data from OpenAlex, Jun Liang has authored 34 papers receiving a total of 424 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Plant Science, 10 papers in Materials Chemistry and 8 papers in Biomedical Engineering. Recurrent topics in Jun Liang's work include Mesoporous Materials and Catalysis (8 papers), Zeolite Catalysis and Synthesis (8 papers) and Environmental Toxicology and Ecotoxicology (4 papers). Jun Liang is often cited by papers focused on Mesoporous Materials and Catalysis (8 papers), Zeolite Catalysis and Synthesis (8 papers) and Environmental Toxicology and Ecotoxicology (4 papers). Jun Liang collaborates with scholars based in China, United Kingdom and Germany. Jun Liang's co-authors include Kuangfei Lin, Wei Zhang, Shuangqing Hu, Xiaoqian Xia, Weimin Yang, Zhendong Wang, Xiangcheng Li, Zhifen Lin, Waqas Qamar Zaman and Xiaohong Yuan and has published in prestigious journals such as Journal of Hazardous Materials, Environmental Pollution and Chemosphere.

In The Last Decade

Jun Liang

31 papers receiving 415 citations

Author Peers

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

Author						Papers	Cites
Jun Liang	119	117	116	105	70	34	424
Jiangang Han	34 0.3×	96 0.8×	41 0.4×	126 1.2×	21 0.3×	27	464
Chang‐Tang Chang	61 0.5×	70 0.6×	55 0.5×	40 0.4×	32 0.5×	26	378
Rashida Hameed	88 0.7×	46 0.4×	142 1.2×	65 0.6×	110 1.6×	26	456
Yiting Luo	30 0.3×	62 0.5×	93 0.8×	122 1.2×	28 0.4×	30	467
Cunzhen Geng	37 0.3×	127 1.1×	40 0.3×	154 1.5×	45 0.6×	29	495
Mercedes Sánchez‐Báscones	37 0.3×	117 1.0×	68 0.6×	78 0.7×	48 0.7×	25	482
Sandro José de Andrade	171 1.4×	52 0.4×	90 0.8×	100 1.0×	30 0.4×	27	449
Xiaofei Tian	65 0.5×	215 1.8×	65 0.6×	49 0.5×	153 2.2×	19	489
Ziwei Jiang	36 0.3×	67 0.6×	93 0.8×	102 1.0×	33 0.5×	36	461
Jiewen Luo	32 0.3×	113 1.0×	131 1.1×	56 0.5×	93 1.3×	24	444

Countries citing papers authored by Jun Liang

Since Specialization

Citations

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

Fields of papers citing papers by Jun Liang

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jun Liang

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