Hong Fu
- Electrical and Electronic Engineering top 5%
- Renewable Energy, Sustainability and the Environment top 2%
- Computer Vision and Pattern Recognition top 2%
- Biomedical Engineering top 5%
- Materials Chemistry top 10%
- Co-authors
- Zheru ChiBingang XuZenghai ChenNian Bing LiHong Qun LuoXiaohong ChenDagan FengJunkai Chen
- Topics
- Electrocatalysts for Energy Conversion (24 papers)Advanced battery technologies research (21 papers)Image Retrieval and Classification Techniques (19 papers)
In The Last Decade
Hong Fu
209 papers receiving 3.7k citations
Peers
Comparison fields: 5 of 182
- Electrical and Electronic Engineering 895
- Renewable Energy, Sustainability and the Environment 765
- Computer Vision and Pattern Recognition 620
- Biomedical Engineering 555
- Materials Chemistry 538
Countries citing papers authored by Hong Fu
This map shows the geographic impact of Hong Fu'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 Hong Fu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Hong Fu more than expected).
Fields of papers citing papers by Hong Fu
This network shows the impact of papers produced by Hong Fu. 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 Hong Fu. The network helps show where Hong Fu may publish in the future.
Co-authorship network of co-authors of Hong Fu
This figure shows the co-authorship network connecting the top 25 collaborators of Hong Fu. A scholar is included among the top collaborators of Hong Fu 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 Hong Fu. Hong Fu is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 3 | |
| 2 | 0 | |
| 3 | 8 | |
| 4 | 0 | |
| 5 | 0 | |
| 6 | 5 | |
| 7 | 7 | |
| 8 | 1 | |
| 9 | 44 | |
| 10 | 3 | |
| 11 | 3 | |
| 12 | 38 | |
| 13 | 8 | |
| 14 | 5 | |
| 15 | 1 | |
| 16 | 4 | |
| 17 | 5 | |
| 18 | What Is a Digital Electronic Portfolio in Teacher Education? A Case Study of Instructors' and Students' Enabling Insights on the Electronic Portfolio Process. | 2 |
| 19 | Density Functional Theory Study of the Hydrogen Bonding Interaction of 1:1 Complexes of Alaninamide with Water | 3 |
| 20 | Binding characteristics of glucocorticoid receptors in synaptic plasma membrane from rat brains | 3 |
About Hong Fu
Hong Fu is a scholar working on Human-Computer Interaction, Computer Vision and Pattern Recognition and Renewable Energy, Sustainability and the Environment, having authored 229 papers that have together received 3.8k indexed citations. Recurring topics across this work include Electrocatalysts for Energy Conversion (24 papers), Advanced battery technologies research (21 papers) and Image Retrieval and Classification Techniques (19 papers). The work is most often cited by research in Renewable Energy, Sustainability and the Environment (765 citations), Human-Computer Interaction (191 citations) and Computer Vision and Pattern Recognition (620 citations). Hong Fu has collaborated with scholars based in China, Hong Kong and Australia. Frequent co-authors include Zheru Chi, Bingang Xu, Zenghai Chen, Nian Bing Li, Hong Qun Luo, Xiaohong Chen, Dagan Feng, Junkai Chen, Qing Zhang and Wai‐Lun Lo. Their work appears in journals such as The Journal of Chemical Physics, Energy & Environmental Science and PLoS ONE.
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.