Yandan Tan
Impact in
- Automotive Engineering top 5%
- Advanced Battery Technologies Research
-
- Reliability and Maintenance Optimization
Papers in
-
- Imbalanced Data Classification Techniques 2
- Privacy-Preserving Technologies in Data 1
- Machine Learning and Data Classification 1
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- Financial Distress and Bankruptcy Prediction 3
- Co-authors
- Guangcai Zhao (3 shared papers)Guoen Cai (2 shared papers)Houde Dai (2 shared papers)Tim C. Lueth (1 shared paper)Hongbin Zhu (1 shared paper)Jie Wu (1 shared paper)Sen Liu (1 shared paper)Jiale Li (1 shared paper)
- Journals
- Information Sciences (1 paper)IEEE Access (1 paper)Expert Systems with Applications (1 paper)IEEE Transactions on Industrial Electronics (1 paper)Knowledge-Based Systems (1 paper)
- Partner nations
- China
In The Last Decade
Yandan Tan
6 papers receiving 317 citations
Yandan Tan's Hit Papers
Peers
Comparison fields: 5 of 53
- Automotive Engineering 250
- Safety, Risk, Reliability and Quality 67
- Control and Systems Engineering 87
- Electrical and Electronic Engineering 214
- Artificial Intelligence 35
Countries citing papers authored by Yandan Tan
This map shows the geographic impact of Yandan Tan'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 Yandan Tan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yandan Tan more than expected).
Fields of papers citing papers by Yandan Tan
This network shows the impact of papers produced by Yandan Tan. 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 Yandan Tan. The network helps show where Yandan Tan may publish in the future.
Co-authors
The 10 scholars most cited alongside Yandan Tan, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | Transfer Learning With Long Short-Term Memory Network for State-of-Health Prediction of Lithium-Ion Batteries Hit paper breakdown → | 2019 | 282 |
| 2 | 2018 | 18 | |
| 3 | 2022 | 16 | |
| 4 | 2023 | 8 | |
| 5 | 2018 | 4 | |
| 6 | 2024 | 2 | |
| 7 | 2023 | 0 |
About Yandan Tan
Yandan Tan is a scholar working on Artificial Intelligence, Accounting, Neurology, Automotive Engineering and Health Information Management, having authored 7 papers that have together received 330 indexed citations. Recurring topics across this work include Financial Distress and Bankruptcy Prediction (3 papers), Neurological disorders and treatments (2 papers), Parkinson's Disease Mechanisms and Treatments (2 papers), Imbalanced Data Classification Techniques (2 papers), Privacy-Preserving Technologies in Data (1 paper), Autism Spectrum Disorder Research (1 paper), Machine Learning and Data Classification (1 paper) and Reliability and Maintenance Optimization (1 paper). The work is most often cited by research in Automotive Engineering (250 citations), Safety, Risk, Reliability and Quality (67 citations), Control and Systems Engineering (87 citations), Electrical and Electronic Engineering (214 citations) and Artificial Intelligence (35 citations). Yandan Tan has collaborated with scholars based in China. Frequent co-authors include Guangcai Zhao, Guoen Cai, Houde Dai, Tim C. Lueth, Hongbin Zhu, Jie Wu, Sen Liu, Jiale Li, Hongbin Zhu and Jie Wu. Their work appears in journals such as Information Sciences, IEEE Access, Expert Systems with Applications, IEEE Transactions on Industrial Electronics and Knowledge-Based Systems.
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.