Caixing Liu

32 papers receiving 426 citations

Peers

Caixing Liu
Comparison fields: 5 of 77
  • Small Animals 119
  • Animal Science and Zoology 89
  • Geology 27
  • Food Science 82
  • Computer Vision and Pattern Recognition 73
Replace Yulong Qiao with:
Yulong Qiao China
Kai Yan China
Shuxin Du China
Malika Belkadi Algeria
Anand Mohan India
Yongchae Jeong South Korea
Yongliang Huang China
Yiwen Song United States
Giovanni Puglisi Italy
Caixing Liu relative to Yulong Qiao China Yulong Qiao's profile →
Citations per field
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Citations per year

Countries citing papers authored by Caixing Liu

Since Specialization
Citations

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

Fields of papers citing papers by Caixing Liu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Caixing Liu, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Caixing Liu Line = papers co-authored together Caixing Liu links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 35 papers — load more, or switch the sort, to bring in the rest.

#Work
1 202075
2 202051
3 201940
4 202132
5 200730
6 202225
7 201325
8 202225
9 202218
10
Design of system for monitoring dairy cattle's behavioral features based on wireless sensor networks.
201016
11 202211
12 202211
13 202011
14 20098
15 20097
16 20187
17 20206
18 20106
19 20215
20 20225

About Caixing Liu

Caixing Liu is a scholar working on Computer Vision and Pattern Recognition, Small Animals, Computer Networks and Communications, Information Systems and Electrical and Electronic Engineering, having authored 35 papers that have together received 437 indexed citations. Recurring topics across this work include Animal Behavior and Welfare Studies (5 papers), Food Supply Chain Traceability (4 papers), Effects of Environmental Stressors on Livestock (4 papers), Advanced Condensed Matter Physics (3 papers), 2D Materials and Applications (2 papers), Genetic and phenotypic traits in livestock (2 papers), Energy Efficient Wireless Sensor Networks (2 papers) and Education and Work Dynamics (2 papers). The work is most often cited by research in Small Animals (119 citations), Animal Science and Zoology (89 citations), Geology (27 citations), Food Science (82 citations) and Computer Vision and Pattern Recognition (73 citations). Caixing Liu has collaborated with scholars based in China, United States and United Kingdom. Frequent co-authors include Yuefang Gao, Yan Sun, Hanxing Liu, Zhigao Sheng, Yuping Sun, Zongwei Ma, Chun Zhou, Xuebin Zhu, Xinheng Wang and Long Cheng. Their work appears in journals such as Applied Physics Letters, Computers and Electronics in Agriculture, The Journal of Physical Chemistry C, ACS Applied Materials & Interfaces and Animals.

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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