Fang Hu
- Artificial Intelligence top 10%
- Electrical and Electronic Engineering
- Statistical and Nonlinear Physics top 5%
- Computer Networks and Communications top 10%
- Biomedical Engineering
- Co-authors
- Jianchao CaiKai XuYuhua LiuJun LiangZhicheng WangYun LiuYunjun YanFuxiang Wei
- Topics
- Phonetics and Phonology Research (15 papers)Complex Network Analysis Techniques (14 papers)Opinion Dynamics and Social Influence (13 papers)
- Cited by
- Statistical and Nonlinear PhysicsLinguistics and LanguageExperimental and Cognitive Psychology
- Journals
- Advanced Functional MaterialsApplied EnergyThe Journal of the Acoustical Society of America
- Partner nations
- ChinaUnited StatesAustralia
In The Last Decade
Fang Hu
58 papers receiving 672 citations
Peers
Comparison fields: 5 of 133
- Artificial Intelligence 145
- Electrical and Electronic Engineering 109
- Statistical and Nonlinear Physics 95
- Computer Networks and Communications 89
- Biomedical Engineering 78
Countries citing papers authored by Fang Hu
This map shows the geographic impact of Fang Hu'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 Fang Hu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Fang Hu more than expected).
Fields of papers citing papers by Fang Hu
This network shows the impact of papers produced by Fang Hu. 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 Fang Hu. The network helps show where Fang Hu may publish in the future.
Co-authorship network of co-authors of Fang Hu
This figure shows the co-authorship network connecting the top 25 collaborators of Fang Hu. A scholar is included among the top collaborators of Fang Hu 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 Fang Hu. Fang Hu is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 0 | |
| 3 | 1 | |
| 4 | 2 | |
| 5 | 1 | |
| 6 | 2 | |
| 7 | 4 | |
| 8 | 10 | |
| 9 | 20 | |
| 10 | 182 | |
| 11 | 11 | |
| 12 | 3 | |
| 13 | 3 | |
| 14 | Tone features in Qimen Hui Chinese dialect. | 1 |
| 15 | The vowel inventory in the Xinfeng (Tieshikou) Hakka dialect. | 1 |
| 16 | 10 | |
| 17 | When should Internet Retailers Adopt Drop-shipping Model | 0 |
| 18 | On the Subjectivity of the Translator from the Perspective of Relevance Theory | 1 |
| 19 | Hedges in Abstracts of English Academic Papers | 1 |
| 20 | Quality Studies of Three Types of Huangshan Chinese Torreya | 1 |
About Fang Hu
Fang Hu is a scholar working on Linguistics and Language, Experimental and Cognitive Psychology and Statistical and Nonlinear Physics, having authored 69 papers that have together received 711 indexed citations. Recurring topics across this work include Phonetics and Phonology Research (15 papers), Complex Network Analysis Techniques (14 papers) and Opinion Dynamics and Social Influence (13 papers). The work is most often cited by research in Statistical and Nonlinear Physics (95 citations), Linguistics and Language (29 citations) and Experimental and Cognitive Psychology (76 citations). Fang Hu has collaborated with scholars based in China, United States and Australia. Frequent co-authors include Jianchao Cai, Kai Xu, Yuhua Liu, Jun Liang, Zhicheng Wang, Yun Liu, Yunjun Yan, Fuxiang Wei, Yin Zhang and Zhuping Zhou. Their work appears in journals such as Advanced Functional Materials, Applied Energy and The Journal of the Acoustical Society of America.
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.