Kai Bian
Impact in
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- Geoscience and Mining Technology
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- Mineral Processing and Grinding
Papers in
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- Machine Learning and ELM 6
- Geochemistry and Geologic Mapping 3
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- Energy Load and Power Forecasting 6
- Co-authors
- Feng Hu (15 shared papers)Mengran Zhou (18 shared papers)Wenhao Lai (14 shared papers)Pengcheng Yan (4 shared papers)Hongping Song (1 shared paper)Tianyu Hu (2 shared papers)Chao Liu (1 shared paper)Zhaoyang Sun (2 shared papers)
- Journals
- IEEE Access (6 papers)Scientific Reports (2 papers)Energies (2 papers)Frontiers in Bioengineering and Biotechnology (2 papers)RSC Advances (1 paper)
- Partner nations
- ChinaUnited StatesDenmark
In The Last Decade
Kai Bian
24 papers receiving 361 citations
Peers
Comparison fields: 5 of 104
- Safety, Risk, Reliability and Quality 31
- Mechanical Engineering 114
- Computer Vision and Pattern Recognition 58
- Artificial Intelligence 89
- Biophysics 16
Countries citing papers authored by Kai Bian
This map shows the geographic impact of Kai Bian'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 Kai Bian with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kai Bian more than expected).
Fields of papers citing papers by Kai Bian
This network shows the impact of papers produced by Kai Bian. 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 Kai Bian. The network helps show where Kai Bian may publish in the future.
Co-authors
The 25 scholars most cited alongside Kai Bian, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 28 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2019 | 73 | |
| 2 | 2019 | 40 | |
| 3 | 2022 | 39 | |
| 4 | 2019 | 39 | |
| 5 | 2020 | 29 | |
| 6 | 2021 | 21 | |
| 7 | 2020 | 19 | |
| 8 | 2022 | 19 | |
| 9 | 2022 | 18 | |
| 10 | 2022 | 16 | |
| 11 | 2020 | 9 | |
| 12 | 2022 | 9 | |
| 13 | 2019 | 9 | |
| 14 | 2020 | 8 | |
| 15 | 2023 | 5 | |
| 16 | 2022 | 4 | |
| 17 | 2021 | 4 | |
| 18 | 2024 | 3 | |
| 19 | 2023 | 2 | |
| 20 | 2023 | 2 |
About Kai Bian
Kai Bian is a scholar working on Artificial Intelligence, Electrical and Electronic Engineering, Mechanical Engineering, Management Science and Operations Research and Biomedical Engineering, having authored 28 papers that have together received 374 indexed citations. Recurring topics across this work include Mineral Processing and Grinding (7 papers), Machine Learning and ELM (6 papers), Energy Load and Power Forecasting (6 papers), Grey System Theory Applications (4 papers), Geochemistry and Geologic Mapping (3 papers), Artificial Intelligence in Healthcare (2 papers), Spectroscopy Techniques in Biomedical and Chemical Research (2 papers) and Radiomics and Machine Learning in Medical Imaging (2 papers). The work is most often cited by research in Safety, Risk, Reliability and Quality (31 citations), Mechanical Engineering (114 citations), Computer Vision and Pattern Recognition (58 citations), Artificial Intelligence (89 citations) and Biophysics (16 citations). Kai Bian has collaborated with scholars based in China, United States and Denmark. Frequent co-authors include Feng Hu, Mengran Zhou, Wenhao Lai, Pengcheng Yan, Hongping Song, Tianyu Hu, Chao Liu, Zhaoyang Sun, Manman Huang and Rui Hu. Their work appears in journals such as IEEE Access, Scientific Reports, Energies, Frontiers in Bioengineering and Biotechnology and RSC Advances.
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.