Su‐Wei Tan

516 citations
20 papers · 380 indexed · h-index 8

Su‐Wei Tan

20 papers receiving 360 citations

Peers

Su‐Wei Tan
Comparison fields: 5 of 48
  • Experimental and Cognitive Psychology 113
  • Human-Computer Interaction 39
  • Computer Vision and Pattern Recognition 115
  • Control and Systems Engineering 79
  • Computer Networks and Communications 75
Replace Mansoor Nasir with:
Mansoor Nasir Pakistan
Junjie Liu China
Shishir Bashyal United States
Hua Gao China
Fengyi Song China
Xinrong Gong China
M. Hernández Spain
Simone Porcu Italy
Berat A. Erol United States
Dharmpal D. Doye India
Su‐Wei Tan relative to Mansoor Nasir Pakistan Mansoor Nasir's profile →
Citations per field
00.5×8.5×
Mansoor Nasir · 1×
Citations per year

Countries citing papers authored by Su‐Wei Tan

Since Specialization
Citations

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

Fields of papers citing papers by Su‐Wei Tan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Su‐Wei Tan. 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‐Wei Tan. The network helps show where Su‐Wei Tan may publish in the future.

Co-authorship network

The 24 scholars most cited alongside Su‐Wei Tan, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Su‐Wei Tan Line = papers co-authored together Su‐Wei Tan links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20172
2 201733
3 20172
4 2017137
5 20161
6 201679
7 201650
8 20148
9 201212
10 20121
11 20116
12 20112
13 20115
14 20063
15 200612
16
MeshTree: A Delay optimised Overlay Multicast Tree Building Protocol
200511
17 20045
18
A Survey and Performance Evaluation of Scalable Tree-based Application Layer Multicast Protocols
20037
19
Building Low Delay Application Layer Multicast Trees
20032
20 20022

About Su‐Wei Tan

Su‐Wei Tan is a scholar working on Computer Networks and Communications, Human-Computer Interaction, Experimental and Cognitive Psychology, Signal Processing and Computer Vision and Pattern Recognition, having authored 20 papers that have together received 380 indexed citations. Recurring topics across this work include Peer-to-Peer Network Technologies (6 papers), Caching and Content Delivery (5 papers), Emotion and Mood Recognition (4 papers), Distributed and Parallel Computing Systems (3 papers), Network Traffic and Congestion Control (3 papers), Mobile Ad Hoc Networks (3 papers), Advanced Data Storage Technologies (3 papers) and Wireless Networks and Protocols (3 papers). The work is most often cited by research in Experimental and Cognitive Psychology (113 citations), Human-Computer Interaction (39 citations), Computer Vision and Pattern Recognition (115 citations), Control and Systems Engineering (79 citations) and Computer Networks and Communications (75 citations). Su‐Wei Tan has collaborated with scholars based in Malaysia, United Kingdom and China. Frequent co-authors include Raphaël C.‐W. Phan, KokSheik Wong, Sook-Chin Yip, Wooi-Ping Hew, John See, Ming-Tao Gan, Yee-Hui Oh, Sze‐Teng Liong, Yandan Wang and Xujie Li. Their work appears in journals such as Computer Communications, International Journal of Electrical Power & Energy Systems, Multimedia Tools and Applications, Signal Processing Image Communication and International Journal of Communication Systems.

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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