Shi‐Jun Liang

4.8k citations
50 papers · 3.5k indexed · 5 hit papers · h-index 24
Topics
2D Materials and Applications (29 papers)Advanced Memory and Neural Computing (25 papers)Graphene research and applications (12 papers)
Partner nations
ChinaJapanUnited States

In The Last Decade

Shi‐Jun Liang

43 papers receiving 3.4k citations

Hit Papers

Robust memristors based on layered two-dimensional materials201820262020202320182019202220202024200400600

Peers

Shi‐Jun Liang
Comparison fields: 5 of 66
  • Electrical and Electronic Engineering 2.3k
  • Materials Chemistry 2.1k
  • Cellular and Molecular Neuroscience 412
  • Atomic and Molecular Physics, and Optics 350
  • Biomedical Engineering 346
Replace Hussein Nili with:
Hussein Nili United States
Mohit Kumar South Korea
Ruiqing Cheng China
David Wei Zhang China
Qundong Fu Singapore
Xuming Zou China
Stéphane Xavier France
Meng Peng China
Chunsen Liu China
Stefano Larentis United States
Shi‐Jun Liang relative to Hussein Nili United States Hussein Nili's profile →
Citations per field
00.5×4.7×
Hussein Nili · 1×
Citations per year

Countries citing papers authored by Shi‐Jun Liang

Since Specialization
Citations

This map shows the geographic impact of Shi‐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 Shi‐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 Shi‐Jun Liang more than expected).

Fields of papers citing papers by Shi‐Jun Liang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Shi‐Jun Liang

This figure shows the co-authorship network connecting the top 25 collaborators of Shi‐Jun Liang. A scholar is included among the top collaborators of Shi‐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 Shi‐Jun Liang. Shi‐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
#WorkIndexed citations
1 0
2 0
3 0
4 3
5 14
6 9
7 0
8 21
9 57
10 79
11 18
12 3
13 23
14 22
15
Reconfigurable logic and neuromorphic circuits based on electrically tunable two-dimensional homojunctionsbreakdown →
299
16 19
17 82
18 185
19 157
20 47

About Shi‐Jun Liang

Shi‐Jun Liang is a scholar working on Materials Chemistry, Electrical and Electronic Engineering and Atomic and Molecular Physics, and Optics, having authored 50 papers that have together received 3.5k indexed citations. Recurring topics across this work include 2D Materials and Applications (29 papers), Advanced Memory and Neural Computing (25 papers) and Graphene research and applications (12 papers). The work is most often cited by research in Materials Chemistry (2.1k citations), Electrical and Electronic Engineering (2.3k citations) and Polymers and Plastics (342 citations). Shi‐Jun Liang has collaborated with scholars based in China, Japan and United States. Frequent co-authors include Feng Miao, Bin Cheng, Chenyu Wang, Xinyi Cui, Chen Pan, Tianjun Cao, Pengfei Wang, Yu Wang, Kang Xu and Miao Wang. Their work appears in journals such as Nature, Physical Review Letters and Advanced Materials.

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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