Hongkai Wen
- Electrical and Electronic Engineering top 5%
- Computer Vision and Pattern Recognition top 1%
- Aerospace Engineering top 2%
- Ocean Engineering top 2%
- Artificial Intelligence top 5%
- Co-authors
- Niki TrigoniAndrew MarkhamZhuoling XiaoRonald ClarkSen WangYiran ShenBowen DuPhil Blunsom
- Topics
- Indoor and Outdoor Localization Technologies (25 papers)Robotics and Sensor-Based Localization (16 papers)Underwater Vehicles and Communication Systems (9 papers)
- Journals
- IEEE Transactions on Pattern Analysis and Machine IntelligenceIEEE AccessIEEE Journal on Selected Areas in Communications
- Partner nations
- United KingdomChinaUnited States
In The Last Decade
Hongkai Wen
65 papers receiving 1.8k citations
Peers
Comparison fields: 5 of 107
- Electrical and Electronic Engineering 816
- Computer Vision and Pattern Recognition 748
- Aerospace Engineering 671
- Ocean Engineering 280
- Artificial Intelligence 267
Countries citing papers authored by Hongkai Wen
This map shows the geographic impact of Hongkai Wen'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 Hongkai Wen with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Hongkai Wen more than expected).
Fields of papers citing papers by Hongkai Wen
This network shows the impact of papers produced by Hongkai Wen. 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 Hongkai Wen. The network helps show where Hongkai Wen may publish in the future.
Co-authorship network of co-authors of Hongkai Wen
This figure shows the co-authorship network connecting the top 25 collaborators of Hongkai Wen. A scholar is included among the top collaborators of Hongkai Wen 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 Hongkai Wen. Hongkai Wen is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 2 | |
| 2 | 1 | |
| 3 | 1 | |
| 4 | 0 | |
| 5 | 4 | |
| 6 | 13 | |
| 7 | 9 | |
| 8 | 1 | |
| 9 | 4 | |
| 10 | 5 | |
| 11 | Dynamic Demand Prediction for Expanding Electric Vehicle Sharing Systems | 2 |
| 12 | 38 | |
| 13 | 8 | |
| 14 | 3D Object Dense Reconstruction from a Single Depth View. | 11 |
| 15 | Deepauth: in-situ authentication for smartwatches via deeply learned behavioural biometrics | 3 |
| 16 | 56 | |
| 17 | 60 | |
| 18 | VidLoc: 6-DoF Video-Clip Relocalization. | 15 |
| 19 | 3 | |
| 20 | 84 |
About Hongkai Wen
Hongkai Wen is a scholar working on Computer Vision and Pattern Recognition, Signal Processing and Human-Computer Interaction, having authored 67 papers that have together received 1.8k indexed citations. Recurring topics across this work include Indoor and Outdoor Localization Technologies (25 papers), Robotics and Sensor-Based Localization (16 papers) and Underwater Vehicles and Communication Systems (9 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (748 citations), Aerospace Engineering (671 citations) and Signal Processing (254 citations). Hongkai Wen has collaborated with scholars based in United Kingdom, China and United States. Frequent co-authors include Niki Trigoni, Andrew Markham, Zhuoling Xiao, Ronald Clark, Sen Wang, Yiran Shen, Bowen Du, Sen Wang, Phil Blunsom and Jeff Frolík. Their work appears in journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, IEEE Access and IEEE Journal on Selected Areas in Communications.
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.