Haiwei Dong
- Computer Vision and Pattern Recognition top 2%
- Biomedical Engineering top 10%
- Cognitive Neuroscience top 5%
- Human-Computer Interaction top 1%
- Control and Systems Engineering top 10%
- Co-authors
- Abdulmotaleb El SaddikLongyu ZhangNikolaos MavridisNadia FigueroaAbdulhameed AlelaiwiYang LinYang LiuYing Qiu
- Topics
- Virtual Reality Applications and Impacts (11 papers)Robotics and Sensor-Based Localization (9 papers)Muscle activation and electromyography studies (8 papers)
- Journals
- NeuroImageIEEE AccessSensors
- Partner nations
- CanadaUnited StatesUnited Arab Emirates
In The Last Decade
Haiwei Dong
74 papers receiving 1.6k citations
Peers
Comparison fields: 5 of 146
- Computer Vision and Pattern Recognition 491
- Biomedical Engineering 355
- Cognitive Neuroscience 353
- Human-Computer Interaction 270
- Control and Systems Engineering 137
Countries citing papers authored by Haiwei Dong
This map shows the geographic impact of Haiwei 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 Haiwei Dong with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Haiwei Dong more than expected).
Fields of papers citing papers by Haiwei Dong
This network shows the impact of papers produced by Haiwei 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 Haiwei Dong. The network helps show where Haiwei Dong may publish in the future.
Co-authorship network of co-authors of Haiwei Dong
This figure shows the co-authorship network connecting the top 25 collaborators of Haiwei Dong. A scholar is included among the top collaborators of Haiwei 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 Haiwei Dong. Haiwei 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 | 0 | |
| 3 | 0 | |
| 4 | 1 | |
| 5 | 3 | |
| 6 | 1 | |
| 7 | 1 | |
| 8 | 21 | |
| 9 | 21 | |
| 10 | 16 | |
| 11 | 136 | |
| 12 | 40 | |
| 13 | 6 | |
| 14 | 10 | |
| 15 | 14 | |
| 16 | 2 | |
| 17 | 7 | |
| 18 | 2 | |
| 19 | 179 | |
| 20 | Fast Extended Information Filter SLAM Algorithm Based on Sparsification | 1 |
About Haiwei Dong
Haiwei Dong is a scholar working on Human-Computer Interaction, Computer Vision and Pattern Recognition and Geology, having authored 78 papers that have together received 1.7k indexed citations. Recurring topics across this work include Virtual Reality Applications and Impacts (11 papers), Robotics and Sensor-Based Localization (9 papers) and Muscle activation and electromyography studies (8 papers). The work is most often cited by research in Human-Computer Interaction (270 citations), Computer Vision and Pattern Recognition (491 citations) and Cognitive Neuroscience (353 citations). Haiwei Dong has collaborated with scholars based in Canada, United States and United Arab Emirates. Frequent co-authors include Abdulmotaleb El Saddik, Longyu Zhang, Nikolaos Mavridis, Nadia Figueroa, Abdulhameed Alelaiwi, Yang Lin, Yang Liu, Ying Qiu, Hussein Al Osman and Yunting Zhang. Their work appears in journals such as NeuroImage, IEEE Access and Sensors.
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.