Chang-Geng Liao

400 citations
20 papers · 318 indexed · h-index 9
Topics
Quantum Information and Cryptography (15 papers)Mechanical and Optical Resonators (14 papers)Force Microscopy Techniques and Applications (8 papers)
Partner nations
ChinaUnited States

In The Last Decade

Chang-Geng Liao

19 papers receiving 300 citations

Peers

Chang-Geng Liao
Comparison fields: 5 of 17
  • Atomic and Molecular Physics, and Optics 316
  • Artificial Intelligence 176
  • Electrical and Electronic Engineering 135
  • Statistical and Nonlinear Physics 26
  • Computer Networks and Communications 20
Replace Bixuan Fan with:
Bixuan Fan China
Ali Motazedifard Iran
Chong Li China
Sh. Barzanjeh Iran
Xiao-Bo Yan China
L. F. Buchmann United States
Cui-Li Cui China
Deng-Gao Lai Japan
Huatang Tan China
David Plankensteiner Austria
Chang-Geng Liao relative to Bixuan Fan China Bixuan Fan's profile →
Citations per field
00.5×3.7×
Bixuan Fan · 1×
Citations per year

Countries citing papers authored by Chang-Geng Liao

Since Specialization
Citations

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

Fields of papers citing papers by Chang-Geng Liao

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Chang-Geng Liao. 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 Chang-Geng Liao. The network helps show where Chang-Geng Liao may publish in the future.

Co-authorship network of co-authors of Chang-Geng Liao

This figure shows the co-authorship network connecting the top 25 collaborators of Chang-Geng Liao. A scholar is included among the top collaborators of Chang-Geng Liao 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 Chang-Geng Liao. Chang-Geng Liao 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 3
2 14
3 1
4 1
5 8
6 9
7 38
8 30
9 21
10 34
11 31
12 12
13 86
14 5
15 4
16 1
17 3
18 8
19 4
20 5

About Chang-Geng Liao

Chang-Geng Liao is a scholar working on Atomic and Molecular Physics, and Optics, Artificial Intelligence and Statistical and Nonlinear Physics, having authored 20 papers that have together received 318 indexed citations. Recurring topics across this work include Quantum Information and Cryptography (15 papers), Mechanical and Optical Resonators (14 papers) and Force Microscopy Techniques and Applications (8 papers). The work is most often cited by research in Atomic and Molecular Physics, and Optics (316 citations), Artificial Intelligence (176 citations) and Electrical and Electronic Engineering (135 citations). Chang-Geng Liao has collaborated with scholars based in China and United States. Frequent co-authors include Xiu‐Min Lin, Hong Xie, Ming-Yong Ye, Rongxin Chen, Zhihua Chen, Zhihua Chen, Mengying He, Wei Lin, Zhen‐Biao Yang and Xiaolan Zheng. Their work appears in journals such as Scientific Reports, Optics Express and Physics Letters A.

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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