Fang Dong
- Molecular Biology
- Cell Biology top 5%
- Cognitive Neuroscience top 10%
- Sensory Systems top 5%
- Nutrition and Dietetics top 10%
- Co-authors
- Vijayasaradhi SetaluriYuan ZhouYufei LiuMeenhard HerlynGéza ÁcsHong YuThiennga K. NguyenXiaowei Xu
- Topics
- EEG and Brain-Computer Interfaces (8 papers)Blind Source Separation Techniques (5 papers)melanin and skin pigmentation (5 papers)
- Cited by
- Sensory SystemsUrologyCell Biology
- Journals
- Nucleic Acids ResearchSHILAP Revista de lepidopterologíaNature Biotechnology
- Partner nations
- ChinaUnited StatesItaly
In The Last Decade
Fang Dong
50 papers receiving 1.3k citations
Peers
Comparison fields: 5 of 146
- Molecular Biology 368
- Cell Biology 253
- Cognitive Neuroscience 159
- Sensory Systems 122
- Nutrition and Dietetics 118
Countries citing papers authored by Fang Dong
This map shows the geographic impact of Fang Dong'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 Dong with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Fang Dong more than expected).
Fields of papers citing papers by Fang Dong
This network shows the impact of papers produced by Fang Dong. 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 Dong. The network helps show where Fang Dong may publish in the future.
Co-authorship network of co-authors of Fang Dong
This figure shows the co-authorship network connecting the top 25 collaborators of Fang Dong. A scholar is included among the top collaborators of Fang Dong 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 Dong. Fang Dong 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 | 10 | |
| 3 | 1 | |
| 4 | 2 | |
| 5 | 0 | |
| 6 | 3 | |
| 7 | 20 | |
| 8 | 11 | |
| 9 | Estimation of water pollution by domestic in-land nuclear power plant under severe accident | 1 |
| 10 | Randomness Analysis on Traffic Capacity of Road after Earthquake | 1 |
| 11 | Trace elements geochemical and Nd-Sr-Pb isotopes characteristics of the Zhuopan alkaline complex in Yongping,Yunnan Province and its geological significance. | 6 |
| 12 | Progress of Research on Artificial Neural Network in Air Pollution Prediction | 2 |
| 13 | Clinical observation on television torticollis in children | 1 |
| 14 | 268 | |
| 15 | 93 | |
| 16 | 12 | |
| 17 | 64 | |
| 18 | 68 | |
| 19 | 48 | |
| 20 | Study on fair emission permitallocation approach in urban air pollution control | 1 |
About Fang Dong
Fang Dong is a scholar working on Management of Technology and Innovation, Safety, Risk, Reliability and Quality and Signal Processing, having authored 53 papers that have together received 1.3k indexed citations. Recurring topics across this work include EEG and Brain-Computer Interfaces (8 papers), Blind Source Separation Techniques (5 papers) and melanin and skin pigmentation (5 papers). The work is most often cited by research in Sensory Systems (122 citations), Urology (113 citations) and Cell Biology (253 citations). Fang Dong has collaborated with scholars based in China, United States and Italy. Frequent co-authors include Vijayasaradhi Setaluri, Yuan Zhou, Yufei Liu, Meenhard Herlyn, Géza Ács, Hong Yu, Thiennga K. Nguyen, Xiaowei Xu, Ling Li and Suresh Kumar. Their work appears in journals such as Nucleic Acids Research, SHILAP Revista de lepidopterología and Nature Biotechnology.
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.