Fangxin Wang

2.5k total citations
96 papers, 1.6k citations indexed

About

Fangxin Wang is a scholar working on Computer Vision and Pattern Recognition, Computer Networks and Communications and Electrical and Electronic Engineering. According to data from OpenAlex, Fangxin Wang has authored 96 papers receiving a total of 1.6k indexed citations (citations by other indexed papers that have themselves been cited), including 51 papers in Computer Vision and Pattern Recognition, 27 papers in Computer Networks and Communications and 19 papers in Electrical and Electronic Engineering. Recurrent topics in Fangxin Wang's work include Image and Video Quality Assessment (32 papers), Video Coding and Compression Technologies (16 papers) and Visual Attention and Saliency Detection (11 papers). Fangxin Wang is often cited by papers focused on Image and Video Quality Assessment (32 papers), Video Coding and Compression Technologies (16 papers) and Visual Attention and Saliency Detection (11 papers). Fangxin Wang collaborates with scholars based in China, Canada and United States. Fangxin Wang's co-authors include Jiangchuan Liu, Wei Gong, Feng Wang, Miao Zhang, Xiaoqiang Ma, Lifeng Sun, Yifei Zhu, Yongqiang Xiong, J. Liu and Xiaoyi Fan and has published in prestigious journals such as Inorganic Chemistry, IEEE Access and IEEE Transactions on Communications.

In The Last Decade

Fangxin Wang

91 papers receiving 1.6k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Fangxin Wang China 23 701 643 409 248 212 96 1.6k
Xiaoqiang Ma China 27 939 1.3× 461 0.7× 742 1.8× 343 1.4× 155 0.7× 76 1.9k
Jiasi Chen United States 16 866 1.2× 920 1.4× 530 1.3× 411 1.7× 174 0.8× 51 2.0k
Jordi Mongay Batalla Poland 22 854 1.2× 320 0.5× 495 1.2× 204 0.8× 162 0.8× 146 1.5k
Yonghe Liu United States 27 1.2k 1.7× 295 0.5× 1.0k 2.4× 445 1.8× 162 0.8× 130 2.4k
Xufei Mao China 24 1.4k 1.9× 213 0.3× 977 2.4× 283 1.1× 203 1.0× 74 2.3k
Yongdong Wu Singapore 22 470 0.7× 405 0.6× 446 1.1× 514 2.1× 175 0.8× 127 1.6k
Muhammad Ilyas Pakistan 18 458 0.7× 221 0.3× 291 0.7× 257 1.0× 94 0.4× 106 1.3k
Vikas Saxena India 15 869 1.2× 403 0.6× 253 0.6× 493 2.0× 329 1.6× 80 2.0k
Dajiang Chen China 21 661 0.9× 284 0.4× 508 1.2× 506 2.0× 201 0.9× 58 1.5k
Mun Choon Chan Singapore 26 1.7k 2.4× 297 0.5× 1.2k 2.9× 250 1.0× 239 1.1× 153 2.4k

Countries citing papers authored by Fangxin Wang

Since Specialization
Citations

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

Fields of papers citing papers by Fangxin Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Fangxin Wang

This figure shows the co-authorship network connecting the top 25 collaborators of Fangxin Wang. A scholar is included among the top collaborators of Fangxin 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 Fangxin Wang. Fangxin 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.
Zhang, Rongyu, et al.. (2025). Unimodal Training-Multimodal Prediction: Cross-Modal Federated Learning With Hierarchical Aggregation. IEEE Transactions on Mobile Computing. 24(10). 10009–10023. 2 indexed citations
2.
Wang, Fangxin, et al.. (2025). Video Conferencing With Predictive Generation and Collaborative Computation Across Mobile Headsets. IEEE Transactions on Mobile Computing. 24(11). 12282–12296. 1 indexed citations
3.
Zhang, Lei, et al.. (2025). SemConf: A System for Multiparty Semantic Video Conferencing. 71–77. 1 indexed citations
4.
Li, Boyan, et al.. (2025). LiveVV: Human-Centered Live Volumetric Video Streaming System. IEEE Internet of Things Journal. 12(11). 17233–17243.
5.
Wang, Fangxin, et al.. (2024). A Networking Perspective of Volumetric Video Service: Architecture, Opportunities, and Case Study. IEEE Network. 38(6). 138–145. 5 indexed citations
6.
Li, K., et al.. (2024). FedFMSL: Federated Learning of Foundation Models With Sparsely Activated LoRA. IEEE Transactions on Mobile Computing. 23(12). 15167–15181. 4 indexed citations
7.
Wang, Fangxin, et al.. (2024). HeadsetOff: Enabling Photorealistic Video Conferencing on Economical VR Headsets. 7928–7936. 5 indexed citations
8.
Dasari, Mallesham, et al.. (2024). Fumos: Neural Compression and Progressive Refinement for Continuous Point Cloud Video Streaming. IEEE Transactions on Visualization and Computer Graphics. 30(5). 2849–2859. 12 indexed citations
9.
Liu, Qi, et al.. (2024). LMaaS: Exploring Pricing Strategy of Large Model as a Service for Communication. IEEE Transactions on Mobile Computing. 23(12). 12748–12760. 5 indexed citations
10.
Wang, Fangxin, et al.. (2024). FewVV: Few-Shot Adaptive Bitrate Volumetric Video Streaming With Prompted Online Adaptation. IEEE Internet of Things Journal. 11(19). 32055–32066. 1 indexed citations
11.
Wang, Fangxin, et al.. (2023). Ebublio: Edge-Assisted Multiuser 360° Video Streaming. IEEE Internet of Things Journal. 10(17). 15408–15419. 22 indexed citations
12.
Zhang, Wenyi, Zihan Xu, Fangxin Wang, & Jiangchuan Liu. (2023). Proffler: Toward Collaborative and Scalable Edge-Assisted Crowdsourced Livecast. IEEE Internet of Things Journal. 11(2). 3539–3549. 1 indexed citations
13.
Wang, Fangxin, et al.. (2023). VSAS: Decision Transformer-Based On-Demand Volumetric Video Streaming With Passive Frame Dropping. IEEE Internet of Things Journal. 11(8). 13752–13767. 4 indexed citations
14.
Wang, Fangxin, et al.. (2023). Backup Battery Allocation and Workload Migration Against Electrical Load Shedding at Edge. IEEE Internet of Things Journal. 10(19). 16804–16815. 1 indexed citations
15.
Wang, Dan, et al.. (2023). DSJA: Distributed Server-Driven Joint Route Scheduling and Streaming Adaptation for Multi-Party Realtime Video Streaming. IEEE Transactions on Mobile Computing. 23(7). 7680–7694. 6 indexed citations
16.
Wang, Yuanyuan, et al.. (2023). Mobile Volumetric Video Streaming System through Implicit Neural Representation. 1–7. 3 indexed citations
17.
Zhang, Rongyu, et al.. (2023). RepCaM: Re-parameterization Content-aware Modulation for Neural Video Delivery. 1–7. 1 indexed citations
18.
Wang, Fangxin, Jiangchuan Liu, & Wei Gong. (2020). Multi-Adversarial In-Car Activity Recognition Using RFIDs. IEEE Transactions on Mobile Computing. 20(6). 2224–2237. 37 indexed citations
19.
Wang, Fangxin, Cong Zhang, Feng Wang, et al.. (2020). DeepCast: Towards Personalized QoE for Edge-Assisted Crowdcast With Deep Reinforcement Learning. IEEE/ACM Transactions on Networking. 28(3). 1255–1268. 27 indexed citations
20.
Wang, Fangxin, Wei Gong, & Jiangchuan Liu. (2018). On Spatial Diversity in WiFi-Based Human Activity Recognition: A Deep Learning-Based Approach. IEEE Internet of Things Journal. 6(2). 2035–2047. 112 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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