Zhenyu Song
Impact in
- Water Science and Technology top 5%
- Membrane Separation Technologies
- Surfaces, Coatings and Films top 10%
- Surface Modification and Superhydrophobicity
Papers in
-
- Energy Load and Power Forecasting 5
-
- Metaheuristic Optimization Algorithms Research 7
- Neural Networks and Applications 5
- Co-authors
- Shichang Wang (3 shared papers)Junkai Ji (13 shared papers)Baoan Li (2 shared papers)Qin Wang (1 shared paper)Jing Zhang (1 shared paper)Yajiao Tang (8 shared papers)Yuki Todo (4 shared papers)Zi Yang (3 shared papers)
- Journals
- Electronics (4 papers)Neurocomputing (3 papers)Palaeontographica Abteilung A (2 papers)Desalination (2 papers)Sensors and Actuators B Chemical (2 papers)
- Partner nations
- ChinaJapanUnited States
In The Last Decade
Zhenyu Song
81 papers receiving 1.2k citations
Peers
Comparison fields: 5 of 124
- Water Science and Technology 222
- Surfaces, Coatings and Films 74
- Fuel Technology 8
- Renewable Energy, Sustainability and the Environment 133
- Biomedical Engineering 350
Countries citing papers authored by Zhenyu Song
This map shows the geographic impact of Zhenyu Song'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 Zhenyu Song with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Zhenyu Song more than expected).
Fields of papers citing papers by Zhenyu Song
This network shows the impact of papers produced by Zhenyu Song. 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 Zhenyu Song. The network helps show where Zhenyu Song may publish in the future.
Co-authors
The 25 scholars most cited alongside Zhenyu Song, 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 | 2013 | 159 | |
| 2 | 2012 | 73 | |
| 3 | 2011 | 72 | |
| 4 | 2022 | 70 | |
| 5 | 2019 | 58 | |
| 6 | 2020 | 52 | |
| 7 | 2017 | 45 | |
| 8 | 2017 | 45 | |
| 9 | 2020 | 43 | |
| 10 | 2016 | 43 | |
| 11 | 2019 | 40 | |
| 12 | 2017 | 38 | |
| 13 | 2009 | 36 | |
| 14 | 2019 | 35 | |
| 15 | 2022 | 32 | |
| 16 | 2020 | 31 | |
| 17 | 2022 | 21 | |
| 18 | 2021 | 20 | |
| 19 | 2016 | 20 | |
| 20 | 2018 | 15 |
About Zhenyu Song
Zhenyu Song is a scholar working on Electrical and Electronic Engineering, Artificial Intelligence, Mechanical Engineering, Biomedical Engineering and Mechanics of Materials, having authored 92 papers that have together received 1.2k indexed citations. Recurring topics across this work include Metaheuristic Optimization Algorithms Research (7 papers), Neural Networks and Applications (5 papers), Hydrocarbon exploration and reservoir analysis (5 papers), Energy Load and Power Forecasting (5 papers), Hydraulic Fracturing and Reservoir Analysis (5 papers), Spectroscopy and Laser Applications (4 papers), Membrane Separation Technologies (4 papers) and Advanced Photocatalysis Techniques (3 papers). The work is most often cited by research in Water Science and Technology (222 citations), Surfaces, Coatings and Films (74 citations), Fuel Technology (8 citations), Renewable Energy, Sustainability and the Environment (133 citations) and Biomedical Engineering (350 citations). Zhenyu Song has collaborated with scholars based in China, Japan and United States. Frequent co-authors include Shichang Wang, Junkai Ji, Baoan Li, Qin Wang, Jing Zhang, Yajiao Tang, Yuki Todo, Zi Yang, Xiuling Cui and Cheng Tang. Their work appears in journals such as Electronics, Neurocomputing, Palaeontographica Abteilung A, Desalination and Sensors and Actuators B Chemical.
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.