Mea Wang

2.6k total citations · 1 hit paper
62 papers, 1.7k citations indexed

About

Mea Wang is a scholar working on Computer Networks and Communications, Computer Vision and Pattern Recognition and Signal Processing. According to data from OpenAlex, Mea Wang has authored 62 papers receiving a total of 1.7k indexed citations (citations by other indexed papers that have themselves been cited), including 38 papers in Computer Networks and Communications, 22 papers in Computer Vision and Pattern Recognition and 17 papers in Signal Processing. Recurrent topics in Mea Wang's work include Caching and Content Delivery (22 papers), Image and Video Quality Assessment (19 papers) and Video Coding and Compression Technologies (16 papers). Mea Wang is often cited by papers focused on Caching and Content Delivery (22 papers), Image and Video Quality Assessment (19 papers) and Video Coding and Compression Technologies (16 papers). Mea Wang collaborates with scholars based in Canada, United States and Hong Kong. Mea Wang's co-authors include Baochun Li, Baochun Li, Logan Rakai, Diwakar Krishnamurthy, Behrouz H. Far, Pascal Frossard, Enrico Magli, Athina Markopoulou, Xiaowen Chu and Kaiyong Zhao and has published in prestigious journals such as SHILAP Revista de lepidopterología, IEEE Journal on Selected Areas in Communications and Computer Networks.

In The Last Decade

Mea Wang

59 papers receiving 1.6k citations

Hit Papers

How Practical is Network Coding? 2006 2026 2012 2019 2006 250 500 750

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Mea Wang Canada 13 1.6k 770 167 143 114 62 1.7k
George Xylomenos Greece 19 2.2k 1.4× 478 0.6× 123 0.7× 139 1.0× 108 0.9× 114 2.4k
Michael Jarschel Germany 20 1.8k 1.1× 728 0.9× 211 1.3× 326 2.3× 122 1.1× 52 1.9k
Michael Welzl Norway 19 1.2k 0.8× 583 0.8× 101 0.6× 101 0.7× 113 1.0× 141 1.4k
Chris McDonald Australia 18 894 0.6× 240 0.3× 90 0.5× 161 1.1× 166 1.5× 73 1.3k
Christian Huitema France 14 772 0.5× 387 0.5× 79 0.5× 67 0.5× 92 0.8× 61 920
Preeti Ranjan Panda India 23 1.3k 0.8× 797 1.0× 109 0.7× 104 0.7× 112 1.0× 116 2.3k
Jinyao Yan China 12 417 0.3× 218 0.3× 137 0.8× 92 0.6× 66 0.6× 71 610
Shahram Jamali Iran 15 528 0.3× 195 0.3× 66 0.4× 75 0.5× 124 1.1× 72 689
Noa Zilberman United Kingdom 19 1.1k 0.7× 312 0.4× 42 0.3× 228 1.6× 294 2.6× 66 1.3k
Haohong Wang United States 17 370 0.2× 324 0.4× 426 2.6× 86 0.6× 89 0.8× 78 895

Countries citing papers authored by Mea Wang

Since Specialization
Citations

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

Fields of papers citing papers by Mea Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Mea Wang. 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 Mea Wang. The network helps show where Mea Wang may publish in the future.

Co-authorship network of co-authors of Mea Wang

This figure shows the co-authorship network connecting the top 25 collaborators of Mea Wang. A scholar is included among the top collaborators of Mea Wang 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 Mea Wang. Mea Wang 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
1.
Griwodz, Carsten, Mea Wang, & Roger Zimmermann. (2025). Introduction to the Special Issue on MMSys 2023 and NOSSDAV 2023. ACM Transactions on Multimedia Computing Communications and Applications. 21(9). 1–4.
2.
Wang, Mea, et al.. (2025). VV-DASH: A Framework for Volumetric Video DASH Streaming. 256–262. 1 indexed citations
3.
Wang, Haohong, et al.. (2023). Guiding Interactive Film With Emotion-Profiling Chatbots. 3 indexed citations
4.
Jaswal, Vikram K., et al.. (2022). HoloType-CR: Cross Reality Communication Training for Minimally Verbal Autistic Persons. 187–190. 2 indexed citations
5.
Wang, Mea, et al.. (2020). Poster Abstract: Fair and Efficient Dynamic Bandwidth Allocation with OpenFlow. 36–37. 2 indexed citations
6.
Wang, Mea, et al.. (2018). Stride: Distributed Video Transcoding in Spark. 1–8. 10 indexed citations
7.
Rakai, Logan, et al.. (2017). Simultaneous Cost and QoS Optimization for Cloud Resource Allocation. IEEE Transactions on Network and Service Management. 14(3). 676–689. 35 indexed citations
8.
Mukherjee, Joydeep, Diwakar Krishnamurthy, & Mea Wang. (2016). Subscriber-Driven Interference Detection for Cloud-Based Web Services. IEEE Transactions on Network and Service Management. 14(1). 48–62. 9 indexed citations
9.
Halepovic, Emir, et al.. (2016). Is Multipath TCP (MPTCP) Beneficial for Video Streaming over DASH?. 331–336. 21 indexed citations
10.
Wang, Mea, et al.. (2015). Dependency-aware distributed video transcoding in the cloud. 245–252. 9 indexed citations
11.
Wang, Mea, et al.. (2015). Dependency-Aware Unequal Error Protection for Layered Video Coding. 411–420. 1 indexed citations
12.
Wang, Mea, et al.. (2015). Adaptive video streaming in heterogeneous mobile networks. 1966–1971. 1 indexed citations
13.
Liu, Yongxin & Mea Wang. (2015). An application-layer approach for energy-efficient multimedia streaming. 16. 742–748. 3 indexed citations
14.
Wang, Mea, et al.. (2013). Mitigating the asymmetric interests among peers in peer-to-peer video-on-demand systems. 653–659. 1 indexed citations
15.
Liu, Yongxin & Mea Wang. (2013). An Energy Perspective of Multimedia Streaming Systems. 99–104. 2 indexed citations
16.
Wang, Mea, et al.. (2013). A cloud-assisted energy-efficient video streaming system for smartphones. 36. 1–10. 10 indexed citations
17.
Chu, Xiaowen, Kaiyong Zhao, & Mea Wang. (2008). Massively Parallel Network Coding on GPUs. Rare & Special e-Zone (The Hong Kong University of Science and Technology). 144–151. 25 indexed citations
18.
Wang, Mea & Baochun Li. (2007). R2: Random Push with Random Network Coding in Live Peer-to-Peer Streaming. IEEE Journal on Selected Areas in Communications. 25(9). 1655–1666. 207 indexed citations
19.
Wang, Mea & Baochun Li. (2006). How Practical is Network Coding?. 274–278. 956 indexed citations breakdown →
20.
Li, Baochun, Jiang Guo, & Mea Wang. (2004). iOverlay: a lightweight middleware infrastructure for overlay application implementations. 135–154. 15 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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