Jun Liang

684 total citations · 1 hit paper
27 papers, 514 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 514 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 Stroke Rehabilitation and Recovery (3 papers), EEG and Brain-Computer Interfaces (3 papers) and Traumatic Brain Injury and Neurovascular Disturbances (3 papers). Jun Liang is often cited by papers focused on Stroke Rehabilitation and Recovery (3 papers), EEG and Brain-Computer Interfaces (3 papers) and Traumatic Brain Injury and Neurovascular Disturbances (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, Guangming Tao, Shiliang Zhang, Chong Chen, Mingxiang Liu, Xiaohong Li and Zuankai Wang 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 509 citations

Hit Papers

Bioinspired Superhydrophobic All‐In‐One Coating for Adapt... 2024 2026 2025 2024 25 50 75

Peers

Jun Liang
Comparison fields: 5 of 86
  • Molecular Biology 126
  • Biomedical Engineering 99
  • Cellular and Molecular Neuroscience 86
  • Genetics 78
  • Surgery 75
Replace Gang Zhang with:
Gang Zhang China
Weitao Man China
Baokun Zhang China
Yong‐Bum Cho South Korea
Xiaoguang Li China
Jun Song China
Junhao Deng China
Minliang Chen China
Qing Ling China
Gang Zhang China View profile →
Citations per field, relative to Jun Liang
Jun Liang · 1×
Citations per year, relative to Jun Liang
Jun Liang · 1×

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

20 of 20 papers shown
# Work Indexed citations
1 2
2 6
3 1
4 13
5
Bioinspired Superhydrophobic All‐In‐One Coating for Adaptive Thermoregulation breakdown →
84
6 17
7 1
8 11
9 13
10 47
11 14
12 18
13 24
14 4
15 46
16 19
17 12
18 15
19
Chronic knee injuries impair voluntary activation of quadriceps femoris
1
20 1

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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026