Su-Kit Tang

554 total citations
66 papers, 344 citations indexed

About

Su-Kit Tang is a scholar working on Artificial Intelligence, Computer Networks and Communications and Computer Vision and Pattern Recognition. According to data from OpenAlex, Su-Kit Tang has authored 66 papers receiving a total of 344 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Artificial Intelligence, 11 papers in Computer Networks and Communications and 11 papers in Computer Vision and Pattern Recognition. Recurrent topics in Su-Kit Tang's work include Video Surveillance and Tracking Methods (9 papers), Smart Agriculture and AI (6 papers) and Flood Risk Assessment and Management (5 papers). Su-Kit Tang is often cited by papers focused on Video Surveillance and Tracking Methods (9 papers), Smart Agriculture and AI (6 papers) and Flood Risk Assessment and Management (5 papers). Su-Kit Tang collaborates with scholars based in Macao, Italy and United States. Su-Kit Tang's co-authors include Rita Tse, Giovanni Pau, Hong Lin, Zhenping Qiang, Silvia Mirri, Paola Salomoni, Wei Ke, Yanbing Chen, Wei Fan and Giovanni Delnevo and has published in prestigious journals such as IEEE Access, Sensors and Frontiers in Plant Science.

In The Last Decade

Su-Kit Tang

56 papers receiving 334 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Su-Kit Tang Macao 12 70 69 51 51 50 66 344
Sibghat Ullah Bazai Pakistan 10 68 1.0× 33 0.5× 88 1.7× 39 0.8× 65 1.3× 42 442
Nasru Minallah Pakistan 11 85 1.2× 37 0.5× 59 1.2× 68 1.3× 42 0.8× 52 352
S. Abirami India 11 34 0.5× 66 1.0× 97 1.9× 18 0.4× 115 2.3× 47 365
Muhammad Attique Khan Saudi Arabia 14 76 1.1× 39 0.6× 134 2.6× 64 1.3× 27 0.5× 76 492
Xiaofeng Yue China 11 97 1.4× 39 0.6× 84 1.6× 40 0.8× 25 0.5× 22 433
Sunil Kumar Jha India 6 87 1.2× 169 2.4× 89 1.7× 27 0.5× 59 1.2× 10 511
Chuanyang Gong China 5 44 0.6× 118 1.7× 121 2.4× 65 1.3× 60 1.2× 9 455

Countries citing papers authored by Su-Kit Tang

Since Specialization
Citations

This map shows the geographic impact of Su-Kit Tang'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 Su-Kit Tang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Su-Kit Tang more than expected).

Fields of papers citing papers by Su-Kit Tang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Su-Kit Tang. 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 Su-Kit Tang. The network helps show where Su-Kit Tang may publish in the future.

Co-authorship network of co-authors of Su-Kit Tang

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

All Works

20 of 20 papers shown
3.
Tang, Su-Kit, et al.. (2025). Multi-Scale Contrastive Learning with Hierarchical Knowledge Synergy for Visible-Infrared Person Re-Identification. Sensors. 25(1). 192–192. 2 indexed citations
4.
Tang, Su-Kit, et al.. (2025). Application of machine learning in higher education to predict students’ performance, learning engagement and self-efficacy: a systematic literature review. Asian Education and Development Studies. 14(2). 205–240. 4 indexed citations
5.
Tang, Su-Kit, et al.. (2025). HAResformer: A Hybrid ResNet-Transformer Hierarchical Aggregation Architecture for Visible-Infrared Person Reidentification. IEEE Internet of Things Journal. 12(12). 21691–21703.
6.
Zhang, Boliang, et al.. (2024). Automatic Tracking Based on Weighted Fusion Back Propagation in UWB for IoT Devices. Sensors. 24(4). 1257–1257. 2 indexed citations
9.
Zhang, Boliang, et al.. (2024). Energy-efficient mobile node localization using CVA technology and SAI algorithm. Frontiers in Energy Research. 12. 1 indexed citations
10.
Tang, Su-Kit, et al.. (2023). Dataset of Public Objects in Uncontrolled Environment for Navigation Aiding. Data. 8(2). 42–42. 2 indexed citations
11.
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
12.
Zhang, Boliang, et al.. (2023). UWB Hybrid Filtering-Based Mobile IoT Device Tracking. Archivio istituzionale della ricerca (Alma Mater Studiorum Università di Bologna). 471–476. 1 indexed citations
13.
Lin, Hong, et al.. (2023). Automated Counting of Tobacco Plants Using Multispectral UAV Data. Agronomy. 13(12). 2861–2861. 13 indexed citations
14.
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
15.
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
16.
D’Angelo, Gabriele, et al.. (2023). An Auditable Confidentiality Protocol for Blockchain Transactions. SSRN Electronic Journal. 3 indexed citations
17.
Tse, Rita, et al.. (2023). Impact Evaluation of Driving Style on Electric Vehicle Battery based on Field Testing Result. 1143–1146. 1 indexed citations
19.
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
20.
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

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.

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