Fan Dang
Impact in
-
- Network Security and Intrusion Detection
- IoT and Edge/Fog Computing
- Network Time Synchronization Technologies
- Signal Processing top 10%
- Advanced Malware Detection Techniques
Papers in
-
- Network Time Synchronization Technologies 6
- IoT and Edge/Fog Computing 3
-
- Robotic Path Planning Algorithms 4
- Co-authors
- Xinlei Chen (14 shared papers)Yunhao Liu (5 shared papers)Jiliang Wang (1 shared paper)Zhenqiang Xu (1 shared paper)Zhenhua Li (4 shared papers)Yunhao Liu (3 shared papers)Lei Yang (1 shared paper)Yuhan Cheng (4 shared papers)
- Journals
- IEEE Transactions on Mobile Computing (2 papers)IEEE Internet of Things Journal (1 paper)Digital Signal Processing (1 paper)IEEE Journal of Selected Topics in Signal Processing (1 paper)Talanta (1 paper)
- Partner nations
- ChinaUnited StatesIndia
In The Last Decade
Fan Dang
37 papers receiving 460 citations
Peers
Comparison fields: 5 of 76
- Computer Networks and Communications 179
- Signal Processing 70
- Media Technology 46
- Computer Vision and Pattern Recognition 69
- Information Systems 72
Countries citing papers authored by Fan Dang
This map shows the geographic impact of Fan Dang'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 Fan Dang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Fan Dang more than expected).
Fields of papers citing papers by Fan Dang
This network shows the impact of papers produced by Fan Dang. 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 Fan Dang. The network helps show where Fan Dang may publish in the future.
Co-authors
The 25 scholars most cited alongside Fan Dang, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 42 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2021 | 69 | |
| 2 | 2021 | 47 | |
| 3 | 2019 | 45 | |
| 4 | 2015 | 42 | |
| 5 | 2022 | 40 | |
| 6 | 2023 | 28 | |
| 7 | 2024 | 22 | |
| 8 | 2022 | 21 | |
| 9 | 2020 | 15 | |
| 10 | 2024 | 14 | |
| 11 | 2024 | 14 | |
| 12 | 2022 | 11 | |
| 13 | 2020 | 11 | |
| 14 | 2018 | 9 | |
| 15 | 2020 | 9 | |
| 16 | 2019 | 8 | |
| 17 | 2023 | 8 | |
| 18 | 2024 | 7 | |
| 19 | 2017 | 6 | |
| 20 | 2024 | 5 |
About Fan Dang
Fan Dang is a scholar working on Computer Networks and Communications, Computer Vision and Pattern Recognition, Artificial Intelligence, Electrical and Electronic Engineering and Signal Processing, having authored 42 papers that have together received 471 indexed citations. Recurring topics across this work include Network Time Synchronization Technologies (6 papers), Robotic Path Planning Algorithms (4 papers), Real-Time Systems Scheduling (4 papers), Robotics and Sensor-Based Localization (4 papers), RFID technology advancements (4 papers), Indoor and Outdoor Localization Technologies (4 papers), Mobile Crowdsensing and Crowdsourcing (3 papers) and IoT and Edge/Fog Computing (3 papers). The work is most often cited by research in Computer Networks and Communications (179 citations), Signal Processing (70 citations), Media Technology (46 citations), Computer Vision and Pattern Recognition (69 citations) and Information Systems (72 citations). Fan Dang has collaborated with scholars based in China, United States and India. Frequent co-authors include Xinlei Chen, Yunhao Liu, Jiliang Wang, Zhenqiang Xu, Zhenhua Li, Yunhao Liu, Lei Yang, Yuhan Cheng, Ennan Zhai and Xu Wang. Their work appears in journals such as IEEE Transactions on Mobile Computing, IEEE Internet of Things Journal, Digital Signal Processing, IEEE Journal of Selected Topics in Signal Processing and Talanta.
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.