Liang Ge

8.9k citations
160 papers · 7.5k indexed · 2 hit papers · h-index 48
Topics
Membrane-based Ion Separation Techniques (67 papers)Fuel Cells and Related Materials (65 papers)Advanced battery technologies research (23 papers)

In The Last Decade

Liang Ge

152 papers receiving 7.4k citations

Hit Papers

Ion exchange membranes: New developments and applications201620262019202220162021200400600

Peers

Liang Ge
Comparison fields: 5 of 136
  • Electrical and Electronic Engineering 4.3k
  • Biomedical Engineering 3.9k
  • Water Science and Technology 1.7k
  • Materials Chemistry 1.3k
  • Mechanical Engineering 1.1k
Replace Mahaveer D. Kurkuri with:
Mahaveer D. Kurkuri India
Meiying Liu China
Jing Zhao China
Bing Zhang China
Min Zhang China
Shuiliang Chen China
Na Peng China
Chunyang Yu China
Faquan Yu China
Jianping Gao China
Liang Ge relative to Mahaveer D. Kurkuri India Mahaveer D. Kurkuri's profile →
Citations per field
00.5×3.6×
Mahaveer D. Kurkuri · 1×
Citations per year

Countries citing papers authored by Liang Ge

Since Specialization
Citations

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

Fields of papers citing papers by Liang Ge

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Liang Ge

This figure shows the co-authorship network connecting the top 25 collaborators of Liang Ge. A scholar is included among the top collaborators of Liang Ge 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 Liang Ge. Liang Ge 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
#WorkIndexed citations
1 0
2 4
3 6
4 10
5 5
6 1
7 17
8 60
9 10
10
Efficient Ion Sieving in Covalent Organic Framework Membranes with Sub‐2‐Nanometer Channelsbreakdown →
298
11 13
12
Long noncoding RNA UCA1 promotes multiple myeloma cell growth by targeting TGF-β
1
13 11
14 60
15 23
16 163
17 57
18 21
19 33
20
CIPP-based Study on the Capability Evaluation Indicator System for Entrepreneurship Education at Chinese Universities and Colleges
4

About Liang Ge

Liang Ge is a scholar working on Biomaterials, Water Science and Technology and Biomedical Engineering, having authored 160 papers that have together received 7.5k indexed citations. Recurring topics across this work include Membrane-based Ion Separation Techniques (67 papers), Fuel Cells and Related Materials (65 papers) and Advanced battery technologies research (23 papers). The work is most often cited by research in Water Science and Technology (1.7k citations), Biomedical Engineering (3.9k citations) and Electrical and Electronic Engineering (4.3k citations). Liang Ge has collaborated with scholars based in China, Australia and United States. Frequent co-authors include Tongwen Xu, Liang Wu, Bin Wu, Zhengjin Yang, Erigène Bakangura, Yubin He, Fangmeng Sheng, Yaoming Wang, Tingting Xu and Dongbo Yu. Their work appears in journals such as Journal of the American Chemical Society, Advanced Materials and Angewandte Chemie International Edition.

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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