Xiaozhi Liu

2.0k citations
121 papers · 1.5k indexed · h-index 22
Topics
Ubiquitin and proteasome pathways (15 papers)Fault Detection and Control Systems (15 papers)Mineral Processing and Grinding (10 papers)
Partner nations
ChinaUnited StatesMexico

In The Last Decade

Xiaozhi Liu

109 papers receiving 1.5k citations

Peers

Xiaozhi Liu
Comparison fields: 5 of 156
  • Molecular Biology 551
  • Control and Systems Engineering 159
  • Pathology and Forensic Medicine 154
  • Biomedical Engineering 130
  • Plant Science 128
Replace Yating Wang with:
Yating Wang China
Chang‐Hao Yang Taiwan
Shuang Liu China
Wei Liu China
Jun Hong Park South Korea
Chengliang Zhang China
Xiaohui Zhou China
Heping Chen China
Haitao Fan China
Zhiquan Wang China
Xiaozhi Liu relative to Yating Wang China Yating Wang's profile →
Citations per field
00.5×4.7×
Yating Wang · 1×
Citations per year

Countries citing papers authored by Xiaozhi Liu

Since Specialization
Citations

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

Fields of papers citing papers by Xiaozhi Liu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Xiaozhi Liu

This figure shows the co-authorship network connecting the top 25 collaborators of Xiaozhi Liu. A scholar is included among the top collaborators of Xiaozhi Liu 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 Xiaozhi Liu. Xiaozhi Liu 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 1
2 3
3 6
4 1
5 1
6 0
7 2
8 25
9 6
10 19
11
Detection of CSTF2 by nano fluorescent probe and its correlation with malignant biological characteristics in liver cancer
0
12 7
13 3
14 7
15 155
16 43
17 1
18 1
19 14
20
An Environmentally Benign Method for Preparation of Nitroanilines
1

About Xiaozhi Liu

Xiaozhi Liu is a scholar working on Control and Systems Engineering, Signal Processing and Cancer Research, having authored 121 papers that have together received 1.5k indexed citations. Recurring topics across this work include Ubiquitin and proteasome pathways (15 papers), Fault Detection and Control Systems (15 papers) and Mineral Processing and Grinding (10 papers). The work is most often cited by research in Pathology and Forensic Medicine (154 citations), Cancer Research (121 citations) and Molecular Biology (551 citations). Xiaozhi Liu has collaborated with scholars based in China, United States and Mexico. Frequent co-authors include Ying Yang, Shiwei Liu, Yueyang Tian, Liang Kang, Jingchao Li, Xiaofang Ma, Yuan Xue, Zhongmin Jiang, Shaozhong Kang and Shiru Jia. Their work appears in journals such as Energy & Environmental Science, PLoS ONE and Stroke.

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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