Luning Bi
Impact in
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- Manufacturing Process and Optimization
- Digital Transformation in Industry
- Scheduling and Optimization Algorithms
Papers in
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- Manufacturing Process and Optimization 4
- Digital Transformation in Industry 3
- Scheduling and Optimization Algorithms 2
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- Smart Agriculture and AI 4
- Co-authors
- Guiping Hu (5 shared papers)Fei Tao (6 shared papers)Ying Zuo (4 shared papers)A.Y.C. Nee (4 shared papers)Ying Cheng (1 shared paper)Ping Ji (1 shared paper)Yuba R. Kandel (2 shared papers)Daren S. Mueller (2 shared papers)
- Journals
- CIRP Annals (2 papers)Frontiers in Plant Science (2 papers)Journal of Manufacturing Science and Engineering (2 papers)Journal of Computing and Information Science in Engineering (1 paper)Remote Sensing (1 paper)
- Partner nations
- United StatesChinaSingapore
In The Last Decade
Luning Bi
11 papers receiving 329 citations
Peers
Comparison fields: 5 of 69
- Industrial and Manufacturing Engineering 148
- Management of Technology and Innovation 34
- Analytical Chemistry 27
- Plant Science 88
- Automotive Engineering 28
Countries citing papers authored by Luning Bi
This map shows the geographic impact of Luning Bi'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 Luning Bi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Luning Bi more than expected).
Fields of papers citing papers by Luning Bi
This network shows the impact of papers produced by Luning Bi. 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 Luning Bi. The network helps show where Luning Bi may publish in the future.
Co-authors
The 15 scholars most cited alongside Luning Bi, 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 | 2020 | 60 | |
| 2 | 2017 | 53 | |
| 3 | 2016 | 52 | |
| 4 | 2018 | 42 | |
| 5 | 2020 | 29 | |
| 6 | 2017 | 29 | |
| 7 | 2021 | 22 | |
| 8 | 2023 | 19 | |
| 9 | 2017 | 11 | |
| 10 | 2022 | 11 | |
| 11 | 2020 | 6 |
About Luning Bi
Luning Bi is a scholar working on Industrial and Manufacturing Engineering, Plant Science, Automotive Engineering, Ecology and Safety, Risk, Reliability and Quality, having authored 11 papers that have together received 334 indexed citations. Recurring topics across this work include Manufacturing Process and Optimization (4 papers), Smart Agriculture and AI (4 papers), Digital Transformation in Industry (3 papers), Remote Sensing in Agriculture (2 papers), Scheduling and Optimization Algorithms (2 papers), Spectroscopy and Chemometric Analyses (2 papers), Energy Efficiency and Management (1 paper) and Advanced Battery Technologies Research (1 paper). The work is most often cited by research in Industrial and Manufacturing Engineering (148 citations), Management of Technology and Innovation (34 citations), Analytical Chemistry (27 citations), Plant Science (88 citations) and Automotive Engineering (28 citations). Luning Bi has collaborated with scholars based in United States, China and Singapore. Frequent co-authors include Guiping Hu, Fei Tao, Ying Zuo, A.Y.C. Nee, Ying Cheng, Ping Ji, Yuba R. Kandel, Daren S. Mueller, L. F. S. Leandro and Muhammad Mohsin Raza. Their work appears in journals such as CIRP Annals, Frontiers in Plant Science, Journal of Manufacturing Science and Engineering, Journal of Computing and Information Science in Engineering and Remote Sensing.
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.