Qianxin Liang

758 citations
15 papers · 370 indexed · 1 hit paper · h-index 9
Topics
Machine Learning and Data Classification (3 papers)Imbalanced Data Classification Techniques (3 papers)Analytical chemistry methods development (2 papers)

In The Last Decade

Qianxin Liang

14 papers receiving 360 citations

Hit Papers

Feature selection strategies: a comparative analysis of S...202420262025202450100150

Peers

Qianxin Liang
Comparison fields: 5 of 126
  • Molecular Biology 87
  • Artificial Intelligence 58
  • Cancer Research 50
  • Sociology and Political Science 39
  • Biomedical Engineering 27
Replace Shiqi Yang with:
Shiqi Yang China
Yinbo Liu China
Harsh Patel United States
Hongliang Sun China
Yan Han China
Guanghui Wang China
Farhana Rahman Bangladesh
Nicholas Pudjihartono New Zealand
Kehan Li China
Qianxin Liang relative to Shiqi Yang China Shiqi Yang's profile →
Citations per field
00.5×3.6×
Shiqi Yang · 1×
Citations per year

Countries citing papers authored by Qianxin Liang

Since Specialization
Citations

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

Fields of papers citing papers by Qianxin Liang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Qianxin Liang

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

All Works

15 of 15 papers shown
#WorkIndexed citations
1 0
2 13
3
Feature selection strategies: a comparative analysis of SHAP-value and importance-based methodsbreakdown →
153
4 21
5 45
6 1
7 2
8 2
9 10
10 13
11 16
12 6
13 40
14 2
15 46

About Qianxin Liang

Qianxin Liang is a scholar working on Nephrology, Artificial Intelligence and Analytical Chemistry, having authored 15 papers that have together received 370 indexed citations. Recurring topics across this work include Machine Learning and Data Classification (3 papers), Imbalanced Data Classification Techniques (3 papers) and Analytical chemistry methods development (2 papers). The work is most often cited by research in Cancer Research (50 citations), Applied Psychology (14 citations) and Health Information Management (11 citations). Qianxin Liang has collaborated with scholars based in United States, China and United Kingdom. Frequent co-authors include John Hancock, Taghi M. Khoshgoftaar, Huanjing Wang, Min Wang, Qing Zhao, Guangheng Dong, Xiaoxia Du, Xiaoyue Liu, Marc N. Potenza and Fubin Liu. Their work appears in journals such as Journal of Cellular and Molecular Medicine, Acta Pharmaceutica Sinica B and Foods.

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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