Kai-Kit Wong
- Electrical and Electronic Engineering top 5%
- Computer Networks and Communications top 2%
- Aerospace Engineering top 10%
- Signal Processing
- Artificial Intelligence
- Co-authors
- Ross MurchKhaled B. LetaiefMuhammad R. A. KhandakerR.S. ChengGan ZhengA. PaulrajBjörn OtterstenArumugam Nallanathan
- Topics
- Advanced MIMO Systems Optimization (8 papers)Cooperative Communication and Network Coding (8 papers)Advanced Wireless Communication Techniques (5 papers)
- Cited by
- Computer Networks and CommunicationsElectrical and Electronic EngineeringAerospace Engineering
- Partner nations
- United KingdomHong KongChina
In The Last Decade
Kai-Kit Wong
20 papers receiving 716 citations
Peers
Comparison fields: 5 of 29
- Electrical and Electronic Engineering 713
- Computer Networks and Communications 478
- Aerospace Engineering 88
- Signal Processing 23
- Artificial Intelligence 11
Countries citing papers authored by Kai-Kit Wong
This map shows the geographic impact of Kai-Kit Wong'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 Kai-Kit Wong with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kai-Kit Wong more than expected).
Fields of papers citing papers by Kai-Kit Wong
This network shows the impact of papers produced by Kai-Kit Wong. 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 Kai-Kit Wong. The network helps show where Kai-Kit Wong may publish in the future.
Co-authorship network of co-authors of Kai-Kit Wong
This figure shows the co-authorship network connecting the top 25 collaborators of Kai-Kit Wong. A scholar is included among the top collaborators of Kai-Kit Wong 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 Kai-Kit Wong. Kai-Kit Wong is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 9 | |
| 2 | 2 | |
| 3 | 1 | |
| 4 | 1 | |
| 5 | 1 | |
| 6 | 1 | |
| 7 | 0 | |
| 8 | 69 | |
| 9 | 8 | |
| 10 | 13 | |
| 11 | 86 | |
| 12 | The K-Receiver Broadcast Channel with Confidential Messages | 1 |
| 13 | 4 | |
| 14 | 3 | |
| 15 | 153 | |
| 16 | Data mining using neural fuzzy for student relationship management | 3 |
| 17 | 97 | |
| 18 | 175 | |
| 19 | The STAG Oilfied formation evaluation: a neural network approach | 2 |
| 20 | Establishing a generalised fuzzy interpretation system using artificial neural network | 1 |
About Kai-Kit Wong
Kai-Kit Wong is a scholar working on Computer Networks and Communications, Electrical and Electronic Engineering and Aerospace Engineering, having authored 21 papers that have together received 756 indexed citations. Recurring topics across this work include Advanced MIMO Systems Optimization (8 papers), Cooperative Communication and Network Coding (8 papers) and Advanced Wireless Communication Techniques (5 papers). The work is most often cited by research in Computer Networks and Communications (478 citations), Electrical and Electronic Engineering (713 citations) and Aerospace Engineering (88 citations). Kai-Kit Wong has collaborated with scholars based in United Kingdom, Hong Kong and China. Frequent co-authors include Ross Murch, Khaled B. Letaief, Muhammad R. A. Khandaker, R.S. Cheng, Gan Zheng, A. Paulraj, Björn Ottersten, Arumugam Nallanathan, Hong Xing and Zheng Chu. Their work appears in journals such as IEEE Transactions on Signal Processing, Optics Express and IEEE Transactions on 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.