Yifang Wu
- Electrical and Electronic Engineering top 5%
- Electronic, Optical and Magnetic Materials top 10%
- Automotive Engineering top 5%
- Artificial Intelligence top 10%
- Mechanical Engineering
- Co-authors
- Shaokun ChongShengwu GuoYuanzhen ChenQuanzhi LiGuozhong CaoYongning LiuChengyong ShuQiang Tan
- Topics
- Advancements in Battery Materials (18 papers)Advanced Battery Materials and Technologies (16 papers)Advanced Text Analysis Techniques (10 papers)
- Cited by
- Electronic, Optical and Magnetic MaterialsAutomotive EngineeringElectrical and Electronic Engineering
- Partner nations
- ChinaUnited StatesSouth Korea
In The Last Decade
Yifang Wu
44 papers receiving 859 citations
Peers
Comparison fields: 5 of 76
- Electrical and Electronic Engineering 653
- Electronic, Optical and Magnetic Materials 277
- Automotive Engineering 147
- Artificial Intelligence 139
- Mechanical Engineering 105
Countries citing papers authored by Yifang Wu
This map shows the geographic impact of Yifang Wu'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 Yifang Wu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yifang Wu more than expected).
Fields of papers citing papers by Yifang Wu
This network shows the impact of papers produced by Yifang Wu. 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 Yifang Wu. The network helps show where Yifang Wu may publish in the future.
Co-authorship network of co-authors of Yifang Wu
This figure shows the co-authorship network connecting the top 25 collaborators of Yifang Wu. A scholar is included among the top collaborators of Yifang Wu 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 Yifang Wu. Yifang Wu is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 2 | |
| 3 | 6 | |
| 4 | 2 | |
| 5 | 4 | |
| 6 | 36 | |
| 7 | 14 | |
| 8 | 2 | |
| 9 | 51 | |
| 10 | 5 | |
| 11 | 50 | |
| 12 | 9 | |
| 13 | 29 | |
| 14 | 8 | |
| 15 | 5 | |
| 16 | 37 | |
| 17 | Improving document representation by accumulating relevance feedback: the relevance feedback accumulation (rfa) algorithm | 0 |
| 18 | 2 | |
| 19 | Incorporating Document Keyphrases in Search Results | 13 |
| 20 | Automatic concept organization : organizing concepts from text through probability of co-occurrence analysis (POCA) | 2 |
About Yifang Wu
Yifang Wu is a scholar working on Artificial Intelligence, Filtration and Separation and Electrical and Electronic Engineering, having authored 47 papers that have together received 886 indexed citations. Recurring topics across this work include Advancements in Battery Materials (18 papers), Advanced Battery Materials and Technologies (16 papers) and Advanced Text Analysis Techniques (10 papers). The work is most often cited by research in Electronic, Optical and Magnetic Materials (277 citations), Automotive Engineering (147 citations) and Electrical and Electronic Engineering (653 citations). Yifang Wu has collaborated with scholars based in China, United States and South Korea. Frequent co-authors include Shaokun Chong, Shengwu Guo, Yuanzhen Chen, Quanzhi Li, Guozhong Cao, Yongning Liu, Yongning Liu, Chengyong Shu, Qiang Tan and Yingzhen Hu. Their work appears in journals such as Journal of Power Sources, Carbon and ACS Applied Materials & Interfaces.
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.