Jianfeng Song
- Water Science and Technology top 0.5%
- Biomedical Engineering top 2%
- Mechanical Engineering top 2%
- Electrical and Electronic Engineering top 5%
- Computer Vision and Pattern Recognition top 5%
- Topics
- Membrane Separation Technologies (25 papers)Membrane-based Ion Separation Techniques (20 papers)Extraction and Separation Processes (18 papers)
- Partner nations
- ChinaAustraliaUnited States
In The Last Decade
Jianfeng Song
109 papers receiving 3.0k citations
Hit Papers
Peers
Comparison fields: 5 of 126
- Water Science and Technology 1.3k
- Biomedical Engineering 1.2k
- Mechanical Engineering 1.1k
- Electrical and Electronic Engineering 834
- Computer Vision and Pattern Recognition 359
Countries citing papers authored by Jianfeng Song
This map shows the geographic impact of Jianfeng 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 Jianfeng Song with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jianfeng Song more than expected).
Fields of papers citing papers by Jianfeng Song
This network shows the impact of papers produced by Jianfeng 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 Jianfeng Song. The network helps show where Jianfeng Song may publish in the future.
Co-authorship network of co-authors of Jianfeng Song
This figure shows the co-authorship network connecting the top 25 collaborators of Jianfeng Song. A scholar is included among the top collaborators of Jianfeng Song 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 Jianfeng Song. Jianfeng Song is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 2 | |
| 2 | 9 | |
| 3 | 2 | |
| 4 | 9 | |
| 5 | 2 | |
| 6 | 16 | |
| 7 | 7 | |
| 8 | 2 | |
| 9 | 3 | |
| 10 | 16 | |
| 11 | 37 | |
| 12 | 5 | |
| 13 | 70 | |
| 14 | 17 | |
| 15 | 5 | |
| 16 | 84 | |
| 17 | Lithium separation by stable membrane extraction technology | 2 |
| 18 | Theoretical and experimental research on spread of base of rail in universal rolling | 1 |
| 19 | 16 | |
| 20 | Detection of defects in colour texture surfaces | 19 |
About Jianfeng Song
Jianfeng Song is a scholar working on Water Science and Technology, Media Technology and Computer Vision and Pattern Recognition, having authored 113 papers that have together received 3.0k indexed citations. Recurring topics across this work include Membrane Separation Technologies (25 papers), Membrane-based Ion Separation Techniques (20 papers) and Extraction and Separation Processes (18 papers). The work is most often cited by research in Water Science and Technology (1.3k citations), Industrial and Manufacturing Engineering (324 citations) and Mechanical Engineering (1.1k citations). Jianfeng Song has collaborated with scholars based in China, Australia and United States. Frequent co-authors include Tao He, Xue‐Mei Li, Qiguang Miao, Tao Huang, Long D. Nghiem, Baolong Zhao, Gang Chen, Yunan Li, Ying Chen and Yong Yin. Their work appears in journals such as Water Research, Acta Materialia and Chemical Engineering Journal.
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.