Tingting Fu
- Electrical and Electronic Engineering
- Computer Networks and Communications top 10%
- Automotive Engineering top 10%
- Artificial Intelligence
- Control and Systems Engineering top 10%
- Co-authors
- Peng LiuNan ChengJia HuYifan ZhangXuemin ShenNing ZhangHuifeng WuGuojun Dai
- Topics
- Opportunistic and Delay-Tolerant Networks (6 papers)IoT and Edge/Fog Computing (5 papers)Water Quality Monitoring Technologies (5 papers)
- Cited by
- Automotive EngineeringComputer Networks and CommunicationsIndustrial and Manufacturing Engineering
- Journals
- IEEE AccessSensorsAquaculture
- Partner nations
- ChinaSaudi ArabiaCanada
In The Last Decade
Tingting Fu
44 papers receiving 372 citations
Peers
Comparison fields: 5 of 69
- Electrical and Electronic Engineering 179
- Computer Networks and Communications 110
- Automotive Engineering 84
- Artificial Intelligence 68
- Control and Systems Engineering 64
Countries citing papers authored by Tingting Fu
This map shows the geographic impact of Tingting 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 Tingting Fu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Tingting Fu more than expected).
Fields of papers citing papers by Tingting Fu
This network shows the impact of papers produced by Tingting 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 Tingting Fu. The network helps show where Tingting Fu may publish in the future.
Co-authorship network of co-authors of Tingting Fu
This figure shows the co-authorship network connecting the top 25 collaborators of Tingting Fu. A scholar is included among the top collaborators of Tingting 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 Tingting Fu. Tingting 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 | 0 | |
| 2 | 1 | |
| 3 | 3 | |
| 4 | 0 | |
| 5 | 1 | |
| 6 | 1 | |
| 7 | 3 | |
| 8 | 8 | |
| 9 | 9 | |
| 10 | 30 | |
| 11 | 0 | |
| 12 | 1 | |
| 13 | 2 | |
| 14 | 61 | |
| 15 | 1 | |
| 16 | 9 | |
| 17 | 4 | |
| 18 | Relevant Problems about the application of ASSR in the auditory diagnosis | 1 |
| 19 | 1 | |
| 20 | 1 |
About Tingting Fu
Tingting Fu is a scholar working on Computer Networks and Communications, Automotive Engineering and Control and Systems Engineering, having authored 50 papers that have together received 388 indexed citations. Recurring topics across this work include Opportunistic and Delay-Tolerant Networks (6 papers), IoT and Edge/Fog Computing (5 papers) and Water Quality Monitoring Technologies (5 papers). The work is most often cited by research in Automotive Engineering (84 citations), Computer Networks and Communications (110 citations) and Industrial and Manufacturing Engineering (33 citations). Tingting Fu has collaborated with scholars based in China, Saudi Arabia and Canada. Frequent co-authors include Peng Liu, Nan Cheng, Jia Hu, Yifan Zhang, Xuemin Shen, Ning Zhang, Huifeng Wu, Guojun Dai, Xiao-Chen Yan and Haoji Hu. Their work appears in journals such as IEEE Access, Sensors and Aquaculture.
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.