Zhang Min
- Artificial Intelligence
- Electrical and Electronic Engineering
- Computer Vision and Pattern Recognition
- Management Science and Operations Research
- Environmental Engineering
- Co-authors
- Guotao WangZhigang SunPengfei LiXiaowen LiangHui WangYuliang LiWei WangLiqun Li
- Topics
- Advanced Computational Techniques and Applications (2 papers)Advanced Decision-Making Techniques (1 paper)Mitochondrial Function and Pathology (1 paper)
- Cited by
- Management Science and Operations ResearchHealth Information ManagementEnvironmental Engineering
- Partner nations
- China
In The Last Decade
Zhang Min
6 papers receiving 254 citations
Hit Papers
Peers
Comparison fields: 5 of 107
- Artificial Intelligence 50
- Electrical and Electronic Engineering 50
- Computer Vision and Pattern Recognition 30
- Management Science and Operations Research 26
- Environmental Engineering 24
Countries citing papers authored by Zhang Min
This map shows the geographic impact of Zhang Min'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 Zhang Min with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Zhang Min more than expected).
Fields of papers citing papers by Zhang Min
This network shows the impact of papers produced by Zhang Min. 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 Zhang Min. The network helps show where Zhang Min may publish in the future.
Co-authorship network of co-authors of Zhang Min
This figure shows the co-authorship network connecting the top 25 collaborators of Zhang Min. A scholar is included among the top collaborators of Zhang Min 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 Zhang Min. Zhang Min is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | An improved random forest based on the classification accuracy and correlation measurement of decision treesbreakdown → | 213 |
| 2 | 6 | |
| 3 | 3 | |
| 4 | [The Effect of Chronic Intermittent Hypoxia on Cognitive Function and Prefrontal Cortex Neurons in Rats]. | 2 |
| 5 | Data mining technology and its application | 1 |
| 6 | 0 | |
| 7 | RESEARCH ON PROCESSING OF SHORT-TERM HISTORICAL DATA OF DAILY LOAD BASED ON KALMAN FILTER | 37 |
About Zhang Min
Zhang Min is a scholar working on Artificial Intelligence, Signal Processing and Literature and Literary Theory, having authored 7 papers that have together received 262 indexed citations. Recurring topics across this work include Advanced Computational Techniques and Applications (2 papers), Advanced Decision-Making Techniques (1 paper) and Mitochondrial Function and Pathology (1 paper). The work is most often cited by research in Management Science and Operations Research (26 citations), Health Information Management (8 citations) and Environmental Engineering (24 citations). Zhang Min has collaborated with scholars based in China. Frequent co-authors include Guotao Wang, Zhigang Sun, Pengfei Li, Xiaowen Liang, Hui Wang, Yuliang Li, Wei Wang, Liqun Li, Xiaomei Liang and Lijun Duan. Their work appears in journals such as Expert Systems with Applications, IEEE Access and Power System Technology.
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.