Rita Tse

838 total citations
59 papers, 569 citations indexed

About

Rita Tse is a scholar working on Artificial Intelligence, Electrical and Electronic Engineering and Automotive Engineering. According to data from OpenAlex, Rita Tse has authored 59 papers receiving a total of 569 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Artificial Intelligence, 12 papers in Electrical and Electronic Engineering and 11 papers in Automotive Engineering. Recurrent topics in Rita Tse's work include Air Quality Monitoring and Forecasting (8 papers), Video Surveillance and Tracking Methods (6 papers) and Human Mobility and Location-Based Analysis (6 papers). Rita Tse is often cited by papers focused on Air Quality Monitoring and Forecasting (8 papers), Video Surveillance and Tracking Methods (6 papers) and Human Mobility and Location-Based Analysis (6 papers). Rita Tse collaborates with scholars based in Macao, Italy and United States. Rita Tse's co-authors include Giovanni Pau, Su-Kit Tang, Hong Lin, Zhenping Qiang, Wuman Luo, Stefano d’Addona, Paola Salomoni, Silvia Mirri, Gustavo Marfia and Lorenzo Monti and has published in prestigious journals such as Sensors, Frontiers in Plant Science and Applied Sciences.

In The Last Decade

Rita Tse

59 papers receiving 549 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
Rita Tse Macao	13	108	103	97	96	72	59	569
Taoying Li China	13	167 1.5×	85 0.8×	83 0.9×	195 2.0×	81 1.1×	54	683
Shaofu Lin China	12	213 2.0×	55 0.5×	62 0.6×	166 1.7×	188 2.6×	73	774
Samira Douzi Morocco	12	379 3.5×	50 0.5×	48 0.5×	137 1.4×	30 0.4×	34	746
Xuchu Jiang China	17	98 0.9×	104 1.0×	36 0.4×	122 1.3×	23 0.3×	54	657
Sasan Karamizadeh Malaysia	9	132 1.2×	37 0.4×	14 0.1×	24 0.3×	99 1.4×	25	686
Badr Hssina Morocco	11	322 3.0×	30 0.3×	47 0.5×	152 1.6×	33 0.5×	21	772
Roselina Sallehuddin Malaysia	17	267 2.5×	192 1.9×	21 0.2×	39 0.4×	68 0.9×	69	812
Giorgio Corani Switzerland	18	437 4.0×	139 1.3×	88 0.9×	272 2.8×	67 0.9×	68	1.1k
Jinsheng Shen China	8	53 0.5×	68 0.7×	109 1.1×	52 0.5×	128 1.8×	33	634
Teerayut Horanont Thailand	15	85 0.8×	57 0.6×	71 0.7×	125 1.3×	140 1.9×	59	937

Countries citing papers authored by Rita Tse

Since Specialization

Citations

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

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authorship network of co-authors of Rita Tse

This figure shows the co-authorship network connecting the top 25 collaborators of Rita Tse. A scholar is included among the top collaborators of Rita Tse 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 Rita Tse. Rita Tse is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

Wang, Jiayi, et al.. (2024). Multi-perspective patient representation learning for disease prediction on electronic health records. Knowledge and Information Systems. 66(12). 7837–7858. 1 indexed citations

Lin, Hong, Zhenping Qiang, Rita Tse, Su-Kit Tang, & Giovanni Pau. (2024). A few-shot learning method for tobacco abnormality identification. Frontiers in Plant Science. 15. 1333236–1333236. 5 indexed citations

Zhang, Boliang, Sio‐Kei Im, Chan‐Tong Lam, et al.. (2023). Taxi Demand and Fare Prediction with Hybrid Models: Enhancing Efficiency and User Experience in City Transportation. Applied Sciences. 13(18). 10192–10192. 3 indexed citations

Tse, Rita, et al.. (2023). Recognition of Driving Behavior in Electric Vehicle’s Li-Ion Battery Aging. Applied Sciences. 13(9). 5608–5608. 5 indexed citations

Tse, Rita, et al.. (2023). A Novel Fusion Approach Consisting of GAN and State-of-Charge Estimator for Synthetic Battery Operation Data Generation. Electronics. 12(3). 657–657. 13 indexed citations

Tse, Rita, et al.. (2023). Impact Evaluation of Driving Style on Electric Vehicle Battery based on Field Testing Result. 1143–1146. 1 indexed citations

Wang, Jiayi, et al.. (2023). MPRE: Multi-perspective Patient Representation Extractor for Disease Prediction. 758–767. 3 indexed citations

Tse, Rita, et al.. (2023). DMNet: A Personalized Risk Assessment Framework for Elderly People With Type 2 Diabetes. IEEE Journal of Biomedical and Health Informatics. 27(3). 1558–1568. 10 indexed citations

Tse, Rita, et al.. (2023). A Lightweight Robust Distance Estimation Method for Navigation Aiding in Unsupervised Environment Using Monocular Camera. Applied Sciences. 13(19). 11038–11038. 4 indexed citations

10.

Lin, Hong, Rita Tse, Su-Kit Tang, Zhenping Qiang, & Giovanni Pau. (2022). Few-Shot Learning for Plant-Disease Recognition in the Frequency Domain. Plants. 11(21). 2814–2814. 25 indexed citations

11.

Lin, Hong, Rita Tse, Su-Kit Tang, Zhenping Qiang, & Giovanni Pau. (2022). Few-shot learning approach with multi-scale feature fusion and attention for plant disease recognition. Frontiers in Plant Science. 13. 907916–907916. 20 indexed citations

12.

Tse, Rita, et al.. (2022). Identifying Degradation Indicators for Electric Vehicle Battery Based on Field Testing Data. Archivio istituzionale della ricerca (Alma Mater Studiorum Università di Bologna). 206–211. 1 indexed citations

13.

Lin, Hong, Rita Tse, Su-Kit Tang, Zhenping Qiang, & Giovanni Pau. (2022). The Positive Effect of Attention Module in Few-Shot Learning for Plant Disease Recognition. 114–120. 11 indexed citations

14.

Tse, Rita, et al.. (2022). Tracing Students' Learning Performance on Multiple Skills using Bayesian Methods. 84–89. 4 indexed citations

15.

Lin, Hong, et al.. (2022). Tobacco plant disease dataset. 89–89. 4 indexed citations

16.

Tse, Rita, Sio‐Kei Im, Su-Kit Tang, et al.. (2020). Self-adaptive Sensing IoT Platform for Conserving Historic Buildings and Collections in Museums. 392–398. 10 indexed citations

17.

Tse, Rita, Lorenzo Monti, Sio‐Kei Im, et al.. (2020). DeepClass: edge based class occupancy detection aided by deep learning and image cropping. Archivio istituzionale della ricerca (Alma Mater Studiorum Università di Bologna). 13–13. 7 indexed citations

18.

Tse, Rita, et al.. (2020). Enhancing Computing Curriculum with Collaborative Engagement Model to Enrich Undergraduate Research Experience. Archivio istituzionale della ricerca (Alma Mater Studiorum Università di Bologna). 39. 32–37. 2 indexed citations

19.

Delnevo, Giovanni, Lorenzo Monti, Vittorio Ghini, et al.. (2018). Canarin II: Designing a smart e-bike eco-system. Archivio istituzionale della ricerca (Alma Mater Studiorum Università di Bologna). 1–6. 46 indexed citations

20.

Tse, Rita, et al.. (2017). Social Network Based Crowd Sensing for Intelligent Transportation and Climate Applications. Mobile Networks and Applications. 23(1). 177–183. 22 indexed citations

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.

Explore authors with similar magnitude of impact