Rita Tse
Impact in
- Automotive Engineering top 10%
- Advanced Battery Technologies Research
- Transportation top 10%
- Human Mobility and Location-Based Analysis
Papers in
-
- Vehicular Ad Hoc Networks (VANETs) 5
- Electric Vehicles and Infrastructure 5
- Co-authors
- Giovanni Pau (48 shared papers)Su-Kit Tang (34 shared papers)Hong Lin (6 shared papers)Wuman Luo (1 shared paper)Stefano d’Addona (1 shared paper)Zhenping Qiang (5 shared papers)Paola Salomoni (7 shared papers)Silvia Mirri (6 shared papers)
- Journals
- Applied Sciences (3 papers)Frontiers in Plant Science (2 papers)Mobile Networks and Applications (2 papers)Pervasive and Mobile Computing (1 paper)Computer Networks (1 paper)
- Partner nations
- MacaoItalyUnited States
In The Last Decade
Rita Tse
60 papers receiving 573 citations
Peers
Comparison fields: 5 of 101
- Automotive Engineering 99
- Transportation 48
- Computer Science Applications 39
- Environmental Engineering 97
- Accounting 50
Countries citing papers authored by Rita Tse
This map shows the geographic impact of Rita Tse'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 Rita Tse with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Rita Tse more than expected).
Fields of papers citing papers by Rita Tse
This network shows the impact of papers produced by Rita Tse. 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 Rita Tse. The network helps show where Rita Tse may publish in the future.
Co-authors
The 25 scholars most cited alongside Rita Tse, 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 62 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2022 | 73 | |
| 2 | 2018 | 46 | |
| 3 | 2022 | 28 | |
| 4 | 2021 | 24 | |
| 5 | 2021 | 23 | |
| 6 | 2017 | 22 | |
| 7 | 2022 | 21 | |
| 8 | 2016 | 20 | |
| 9 | 2022 | 18 | |
| 10 | 2016 | 15 | |
| 11 | 2024 | 15 | |
| 12 | 2016 | 14 | |
| 13 | 2023 | 13 | |
| 14 | 2023 | 13 | |
| 15 | 2016 | 12 | |
| 16 | 2022 | 11 | |
| 17 | 2023 | 11 | |
| 18 | 2018 | 11 | |
| 19 | 2022 | 11 | |
| 20 | 2020 | 11 |
About Rita Tse
Rita Tse is a scholar working on Artificial Intelligence, Electrical and Electronic Engineering, Automotive Engineering, Environmental Engineering and Computer Networks and Communications, having authored 62 papers that have together received 594 indexed citations. Recurring topics across this work include Air Quality Monitoring and Forecasting (8 papers), Advanced Battery Technologies Research (6 papers), Human Mobility and Location-Based Analysis (6 papers), Video Surveillance and Tracking Methods (6 papers), Vehicular Ad Hoc Networks (VANETs) (5 papers), Electric Vehicles and Infrastructure (5 papers), Smart Agriculture and AI (5 papers) and Autonomous Vehicle Technology and Safety (4 papers). The work is most often cited by research in Automotive Engineering (99 citations), Transportation (48 citations), Computer Science Applications (39 citations), Environmental Engineering (97 citations) and Accounting (50 citations). Rita Tse has collaborated with scholars based in Macao, Italy and United States. Frequent co-authors include Giovanni Pau, Su-Kit Tang, Hong Lin, Wuman Luo, Stefano d’Addona, Zhenping Qiang, Paola Salomoni, Silvia Mirri, Gustavo Marfia and Lorenzo Monti. Their work appears in journals such as Applied Sciences, Frontiers in Plant Science, Mobile Networks and Applications, Pervasive and Mobile Computing and Computer Networks.
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.