Qiufan Liao

1.5k citations
19 papers · 1.3k indexed · h-index 14
Topics
Advanced Memory and Neural Computing (11 papers)Photoreceptor and optogenetics research (8 papers)Neuroscience and Neural Engineering (5 papers)
Partner nations
ChinaHong KongRussia

In The Last Decade

Qiufan Liao

19 papers receiving 1.3k citations

Peers

Qiufan Liao
Comparison fields: 5 of 58
  • Electrical and Electronic Engineering 990
  • Polymers and Plastics 354
  • Materials Chemistry 354
  • Cellular and Molecular Neuroscience 336
  • Renewable Energy, Sustainability and the Environment 248
Replace Santosh V. Mohite with:
Santosh V. Mohite India
Haiquan Shan China
Fei Yu China
Mrinal K. Hota India
Fang Song China
Xiaojuan Lian China
Sandeep Munjal India
Zia ur Rehman China
Sohyeon Seo South Korea
Yueyue Jiang China
Qiufan Liao relative to Santosh V. Mohite India Santosh V. Mohite's profile →
Citations per field
00.5×2.9×
Santosh V. Mohite · 1×
Citations per year

Countries citing papers authored by Qiufan Liao

Since Specialization
Citations

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

Fields of papers citing papers by Qiufan Liao

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Qiufan Liao

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

All Works

19 of 19 papers shown
#WorkIndexed citations
1 22
2 204
3 10
4 52
5 24
6 49
7 49
8 107
9 42
10 41
11 10
12 122
13 86
14 9
15 72
16 302
17 4
18 119
19 11

About Qiufan Liao

Qiufan Liao is a scholar working on Cellular and Molecular Neuroscience, Renewable Energy, Sustainability and the Environment and Electrical and Electronic Engineering, having authored 19 papers that have together received 1.3k indexed citations. Recurring topics across this work include Advanced Memory and Neural Computing (11 papers), Photoreceptor and optogenetics research (8 papers) and Neuroscience and Neural Engineering (5 papers). The work is most often cited by research in Polymers and Plastics (354 citations), Cellular and Molecular Neuroscience (336 citations) and Electrical and Electronic Engineering (990 citations). Qiufan Liao has collaborated with scholars based in China, Hong Kong and Russia. Frequent co-authors include Su‐Ting Han, Ye Zhou, Ziyu Lv, Y. J. Zeng, Yan Wang, Li Zhou, Vellaisamy A. L. Roy, Jinrui Chen, Zong‐Xiang Xu and Haiquan Shan. Their work appears in journals such as Advanced Materials, Advanced Functional Materials and Journal of Hazardous 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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