Haobin Dong
Impact in
- Computational Mathematics top 5%
- Geophysics top 10%
- Geophysical and Geoelectrical Methods
Papers in
-
- Magnetic Field Sensors Techniques 21
- Advanced Electrical Measurement Techniques 6
- Geophysics 20
- Geophysical and Geoelectrical Methods 18
- Co-authors
- Huan Liu (39 shared papers)Jian Ge (42 shared papers)Kun Chen (1 shared paper)Kalok Chan (1 shared paper)Zhiwen Yuan (25 shared papers)Jun Zhu (19 shared papers)Zheng Liu (15 shared papers)Wang Luo (27 shared papers)
- Journals
- IEEE Sensors Journal (12 papers)IEEE Transactions on Instrumentation and Measurement (9 papers)Review of Scientific Instruments (5 papers)IEEE Access (3 papers)IEEE Transactions on Magnetics (2 papers)
- Partner nations
- ChinaCanadaUnited States
In The Last Decade
Haobin Dong
64 papers receiving 763 citations
Peers
Comparison fields: 5 of 88
- Computational Mathematics 36
- Geophysics 166
- Statistics and Probability 53
- Ocean Engineering 101
- Computational Mechanics 116
Countries citing papers authored by Haobin Dong
This map shows the geographic impact of Haobin 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 Haobin Dong with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Haobin Dong more than expected).
Fields of papers citing papers by Haobin Dong
This network shows the impact of papers produced by Haobin 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 Haobin Dong. The network helps show where Haobin Dong may publish in the future.
Co-authors
The 25 scholars most cited alongside Haobin Dong, 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 68 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2013 | 168 | |
| 2 | 2019 | 48 | |
| 3 | 2016 | 46 | |
| 4 | 2016 | 30 | |
| 5 | 2010 | 30 | |
| 6 | 2018 | 30 | |
| 7 | 2019 | 28 | |
| 8 | 2019 | 24 | |
| 9 | 2020 | 24 | |
| 10 | 2017 | 22 | |
| 11 | 2016 | 20 | |
| 12 | 2020 | 20 | |
| 13 | 2019 | 19 | |
| 14 | 2020 | 16 | |
| 15 | 2024 | 15 | |
| 16 | 2020 | 15 | |
| 17 | 2021 | 14 | |
| 18 | 2018 | 14 | |
| 19 | 2019 | 12 | |
| 20 | 2021 | 11 |
About Haobin Dong
Haobin Dong is a scholar working on Electrical and Electronic Engineering, Geophysics, Ocean Engineering, Atomic and Molecular Physics, and Optics and Molecular Biology, having authored 68 papers that have together received 787 indexed citations. Recurring topics across this work include Magnetic Field Sensors Techniques (21 papers), Geophysical and Geoelectrical Methods (18 papers), Atomic and Subatomic Physics Research (14 papers), Geomagnetism and Paleomagnetism Studies (10 papers), Inertial Sensor and Navigation (9 papers), Geophysical Methods and Applications (8 papers), Ionosphere and magnetosphere dynamics (7 papers) and Advanced Electrical Measurement Techniques (6 papers). The work is most often cited by research in Computational Mathematics (36 citations), Geophysics (166 citations), Statistics and Probability (53 citations), Ocean Engineering (101 citations) and Computational Mechanics (116 citations). Haobin Dong has collaborated with scholars based in China, Canada and United States. Frequent co-authors include Huan Liu, Jian Ge, Kun Chen, Kalok Chan, Zhiwen Yuan, Jun Zhu, Zheng Liu, Wang Luo, Junchi Bin and Yihao Liu. Their work appears in journals such as IEEE Sensors Journal, IEEE Transactions on Instrumentation and Measurement, Review of Scientific Instruments, IEEE Access and IEEE Transactions on Magnetics.
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.