Fang Bai
- Mechanical Engineering top 10%
- Materials Chemistry
- Control and Systems Engineering top 5%
- Computational Theory and Mathematics top 5%
- Electrical and Electronic Engineering
- Co-authors
- Hongfu ZuoYing ZhangLei ZhangCharles M. ElliottJia YangA. SpenceAndrew M. StuartZhiyou Wu
- Topics
- Optimization and Variational Analysis (8 papers)Reliability and Maintenance Optimization (8 papers)Advanced Optimization Algorithms Research (8 papers)
- Journals
- IEEE Transactions on Pattern Analysis and Machine IntelligenceJournal of Cleaner ProductionChemosphere
- Partner nations
- ChinaAustraliaUnited Kingdom
In The Last Decade
Fang Bai
61 papers receiving 745 citations
Peers
Comparison fields: 5 of 93
- Mechanical Engineering 262
- Materials Chemistry 208
- Control and Systems Engineering 170
- Computational Theory and Mathematics 127
- Electrical and Electronic Engineering 116
Countries citing papers authored by Fang Bai
This map shows the geographic impact of Fang Bai'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 Fang Bai with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Fang Bai more than expected).
Fields of papers citing papers by Fang Bai
This network shows the impact of papers produced by Fang Bai. 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 Fang Bai. The network helps show where Fang Bai may publish in the future.
Co-authorship network of co-authors of Fang Bai
This figure shows the co-authorship network connecting the top 25 collaborators of Fang Bai. A scholar is included among the top collaborators of Fang Bai 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 Fang Bai. Fang Bai is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 0 | |
| 3 | 0 | |
| 4 | 4 | |
| 5 | 56 | |
| 6 | 14 | |
| 7 | 11 | |
| 8 | 3 | |
| 9 | 12 | |
| 10 | 11 | |
| 11 | 28 | |
| 12 | 3 | |
| 13 | 20 | |
| 14 | 18 | |
| 15 | Research on Risk Evaluation for Airlines Based on BBN | 2 |
| 16 | Electrostatic Monitoring of Oil Lubricated Sliding Bearing Steel with Point Contacts for Detection of Initial Stage of Scuffing | 1 |
| 17 | Fault diagnosis for multistage dynamic processes based on signed directed graph | 1 |
| 18 | 11 | |
| 19 | Real-time performance reliability prediction for civil aviation engines based on Brownian motion with drift | 2 |
| 20 | 15 |
About Fang Bai
Fang Bai is a scholar working on Numerical Analysis, Safety, Risk, Reliability and Quality and Software, having authored 67 papers that have together received 778 indexed citations. Recurring topics across this work include Optimization and Variational Analysis (8 papers), Reliability and Maintenance Optimization (8 papers) and Advanced Optimization Algorithms Research (8 papers). The work is most often cited by research in Numerical Analysis (101 citations), Metals and Alloys (22 citations) and Computational Theory and Mathematics (127 citations). Fang Bai has collaborated with scholars based in China, Australia and United Kingdom. Frequent co-authors include Hongfu Zuo, Ying Zhang, Ying Zhang, Lei Zhang, Charles M. Elliott, Jia Yang, A. Spence, Andrew M. Stuart, Zhiyou Wu and Shu Hao. Their work appears in journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, Journal of Cleaner Production and Chemosphere.
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.