Liangbing Gan

516 total citations
15 papers, 466 citations indexed

About

Liangbing Gan is a scholar working on Organic Chemistry, Materials Chemistry and Electrical and Electronic Engineering. According to data from OpenAlex, Liangbing Gan has authored 15 papers receiving a total of 466 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Organic Chemistry, 7 papers in Materials Chemistry and 3 papers in Electrical and Electronic Engineering. Recurrent topics in Liangbing Gan's work include Graphene research and applications (4 papers), Fullerene Chemistry and Applications (4 papers) and Carbon Nanotubes in Composites (3 papers). Liangbing Gan is often cited by papers focused on Graphene research and applications (4 papers), Fullerene Chemistry and Applications (4 papers) and Carbon Nanotubes in Composites (3 papers). Liangbing Gan collaborates with scholars based in China, Canada and South Korea. Liangbing Gan's co-authors include Huibiao Liu, Daoben Zhu, Yuliang Li, Shuang Cui, Zhongfan Liu, Jin Zhang, Jae‐Young Choi, Jong Min Kim, Pierre D. Harvey and Zhongping Jiang and has published in prestigious journals such as Advanced Materials, Nano Letters and Langmuir.

In The Last Decade

Liangbing Gan

15 papers receiving 460 citations

Peers

Liangbing Gan
Comparison fields: 5 of 45
  • Materials Chemistry 263
  • Organic Chemistry 235
  • Electrical and Electronic Engineering 105
  • Biomedical Engineering 72
  • Polymers and Plastics 46
Replace Rafael M. Krick Calderón with:
Rafael M. Krick Calderón Germany
Qin Xiang China
Margarita R. Geraskina United States
Kyu Ho Song South Korea
Safwan Aroua Switzerland
Janice B. Lin United States
Numan Almonasy Czechia
Oliver Schmelz Germany
Masashi Nakamura Japan
Christina M. Davis United States
Rafael M. Krick Calderón Germany View profile →
Citations per field, relative to Liangbing Gan
Liangbing Gan · 1×
Citations per year, relative to Liangbing Gan
Liangbing Gan · 1×

Countries citing papers authored by Liangbing Gan

Since Specialization
Citations

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

Fields of papers citing papers by Liangbing Gan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Liangbing Gan

This figure shows the co-authorship network connecting the top 25 collaborators of Liangbing Gan. A scholar is included among the top collaborators of Liangbing Gan 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 Liangbing Gan. Liangbing Gan is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

15 of 15 papers shown
# Work Indexed citations
1 2
2 7
3 115
4 100
5 104
6 5
7 29
8 17
9 20
10 5
11 14
12 8
13 5
14 15
15 20

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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