Jun Liang

37 total papers · 676 total citations
27 papers, 500 citations indexed

About

Jun Liang is a scholar working on Molecular Biology, Biomedical Engineering and Epidemiology. According to data from OpenAlex, Jun Liang has authored 27 papers receiving a total of 500 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Molecular Biology, 6 papers in Biomedical Engineering and 5 papers in Epidemiology. Recurrent topics in Jun Liang's work include Traumatic Brain Injury and Neurovascular Disturbances (3 papers), EEG and Brain-Computer Interfaces (3 papers) and Stroke Rehabilitation and Recovery (3 papers). Jun Liang is often cited by papers focused on Traumatic Brain Injury and Neurovascular Disturbances (3 papers), EEG and Brain-Computer Interfaces (3 papers) and Stroke Rehabilitation and Recovery (3 papers). Jun Liang collaborates with scholars based in China, United Arab Emirates and United States. Jun Liang's co-authors include Sai Zhang, Xiao‐Yin Liu, Xiping Yang, Yue Tu, Shiliang Zhang, Guangming Tao, Mingxiang Liu, Xiaohong Li, Chao‐Hua Xue and Yijun Zeng and has published in prestigious journals such as Advanced Materials, Nature Communications and Journal of Neurochemistry.

In The Last Decade

Jun Liang

27 papers receiving 496 citations

Hit Papers

Bioinspired Superhydropho... 2024 2026 2024 25 50 75
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation benchmark for papers published in the same subfield and year, or reaches the top citation threshold in at least one of its specific research topics.

  1. Bioinspired Superhydrophobic All‐In‐One Coating for Adaptive Thermoregulation
    2024 82 citations Bing‐Ying Liu, Jiawei Wu et al. Advanced Materials profile →

Author Peers

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

Author Last Decade Papers Cites
Jun Liang 123 96 85 78 73 27 500
Soo‐Yeol Lee 84 0.7× 59 0.6× 83 1.0× 216 2.8× 65 0.9× 32 602
Pavel Procházka 207 1.7× 36 0.4× 80 0.9× 76 1.0× 74 1.0× 59 567
Weitao Man 49 0.4× 215 2.2× 93 1.1× 37 0.5× 59 0.8× 29 488
Baokun Zhang 114 0.9× 88 0.9× 39 0.5× 24 0.3× 123 1.7× 45 555
Yun Zhu 112 0.9× 90 0.9× 93 1.1× 53 0.7× 174 2.4× 25 584
Xihui Zhou 145 1.2× 15 0.2× 47 0.6× 127 1.6× 66 0.9× 34 533
Ruicheng Zhang 106 0.9× 52 0.5× 48 0.6× 27 0.3× 63 0.9× 51 515
Weijia Zhao 101 0.8× 65 0.7× 106 1.2× 13 0.2× 51 0.7× 45 553
Kei Harada 83 0.7× 70 0.7× 14 0.2× 56 0.7× 68 0.9× 67 571
Li Zou 117 1.0× 196 2.0× 44 0.5× 39 0.5× 148 2.0× 16 555

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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2026