Ling Bai
Impact in
- Computational Mechanics top 1%
- Granular flow and fluidized beds
- Cyclone Separators and Fluid Dynamics
- Ocean Engineering top 1%
- Particle Dynamics in Fluid Flows
- Oil and Gas Production Techniques
Papers in
-
- Cyclone Separators and Fluid Dynamics 28
- Granular flow and fluidized beds 22
-
- Hydraulic and Pneumatic Systems 21
- Co-authors
- Ling Zhou (53 shared papers)Ramesh K. Agarwal (18 shared papers)Mahmoud A. El‐Emam (10 shared papers)Weidong Shi (9 shared papers)Eman Yasser (3 shared papers)Han Chen (4 shared papers)Wei Li (7 shared papers)Zbigniew Krzemianowski (1 shared paper)
- Journals
- Physics of Fluids (9 papers)Journal of Fluids Engineering (3 papers)Energy (3 papers)Archives of Computational Methods in Engineering (3 papers)Water (3 papers)
- Partner nations
- ChinaUnited StatesEgypt
In The Last Decade
Ling Bai
90 papers receiving 2.0k citations
Ling Bai's Hit Papers
Peers
Comparison fields: 5 of 116
- Computational Mechanics 637
- Ocean Engineering 401
- Mechanics of Materials 566
- Ecological Modeling 97
- Electrochemistry 121
Countries citing papers authored by Ling Bai
This map shows the geographic impact of Ling 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 Ling Bai with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ling Bai more than expected).
Fields of papers citing papers by Ling Bai
This network shows the impact of papers produced by Ling 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 Ling Bai. The network helps show where Ling Bai may publish in the future.
Co-authors
The 25 scholars most cited alongside Ling Bai, 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 92 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Application of entropy production theory for energy losses and other investigation in pumps and turbines: A review Hit paper breakdown → | 2022 | 215 |
| 2 | Theories and Applications of CFD–DEM Coupling Approach for Granular Flow: A Review Hit paper breakdown → | 2021 | 156 |
| 3 | 2019 | 76 | |
| 4 | 2015 | 69 | |
| 5 | 2023 | 64 | |
| 6 | 2017 | 63 | |
| 7 | 2019 | 59 | |
| 8 | 2015 | 57 | |
| 9 | 2020 | 56 | |
| 10 | 2013 | 54 | |
| 11 | 2022 | 53 | |
| 12 | 2014 | 53 | |
| 13 | 2005 | 50 | |
| 14 | 2017 | 46 | |
| 15 | 2021 | 45 | |
| 16 | 2021 | 44 | |
| 17 | 2021 | 42 | |
| 18 | 2018 | 39 | |
| 19 | 2021 | 38 | |
| 20 | 2016 | 35 |
About Ling Bai
Ling Bai is a scholar working on Computational Mechanics, Mechanical Engineering, Electrical and Electronic Engineering, Mechanics of Materials and Ocean Engineering, having authored 92 papers that have together received 2.0k indexed citations. Recurring topics across this work include Cyclone Separators and Fluid Dynamics (28 papers), Cavitation Phenomena in Pumps (23 papers), Granular flow and fluidized beds (22 papers), Hydraulic and Pneumatic Systems (21 papers), Particle Dynamics in Fluid Flows (17 papers), Electrochemical sensors and biosensors (10 papers), Electrochemical Analysis and Applications (8 papers) and Conducting polymers and applications (7 papers). The work is most often cited by research in Computational Mechanics (637 citations), Ocean Engineering (401 citations), Mechanics of Materials (566 citations), Ecological Modeling (97 citations) and Electrochemistry (121 citations). Ling Bai has collaborated with scholars based in China, United States and Egypt. Frequent co-authors include Ling Zhou, Ramesh K. Agarwal, Mahmoud A. El‐Emam, Weidong Shi, Eman Yasser, Han Chen, Wei Li, Zbigniew Krzemianowski, Weidong Shi and Yangping Wen. Their work appears in journals such as Physics of Fluids, Journal of Fluids Engineering, Energy, Archives of Computational Methods in Engineering and Water.
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.