Xueshi Hou

1.4k total citations · 1 hit paper
18 papers, 1.1k citations indexed

About

Xueshi Hou is a scholar working on Computer Vision and Pattern Recognition, Computer Networks and Communications and Signal Processing. According to data from OpenAlex, Xueshi Hou has authored 18 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Computer Vision and Pattern Recognition, 5 papers in Computer Networks and Communications and 5 papers in Signal Processing. Recurrent topics in Xueshi Hou's work include Video Coding and Compression Technologies (4 papers), Image and Video Quality Assessment (4 papers) and Graphene research and applications (3 papers). Xueshi Hou is often cited by papers focused on Video Coding and Compression Technologies (4 papers), Image and Video Quality Assessment (4 papers) and Graphene research and applications (3 papers). Xueshi Hou collaborates with scholars based in United States, China and Saudi Arabia. Xueshi Hou's co-authors include Yong Li, Depeng Jin, Sheng Chen, Min Chen, Di Wu, Sujit Dey, Jianzhong Zhang, Madhukar Budagavi, Yao Lu and Dapeng Wu and has published in prestigious journals such as IEEE Communications Surveys & Tutorials, IEEE Access and Information Sciences.

In The Last Decade

Xueshi Hou

17 papers receiving 1.1k citations

Hit Papers

align trajectories sort by overperformance

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Vehicular Fog Computing: A Viewpoint of Vehicles as the Infrastructures

2016 702 citations Xueshi Hou, Yong Li et al. IEEE Transactions on Vehicular Technology profile →

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author						Papers	Cites
Xueshi Hou	736	535	273	262	166	18	1.1k
Xianfu Chen	1.2k 1.6×	809 1.5×	200 0.7×	244 0.9×	301 1.8×	33	1.7k
Heekuck Oh	794 1.1×	779 1.5×	116 0.4×	430 1.6×	421 2.5×	73	1.3k
Wenhao Fan	776 1.1×	445 0.8×	94 0.3×	309 1.2×	145 0.9×	72	1.1k
Fikret Sivrikaya	781 1.1×	378 0.7×	115 0.4×	111 0.4×	135 0.8×	57	1.2k
Nasreddine Lagraa	990 1.3×	928 1.7×	109 0.4×	178 0.7×	300 1.8×	79	1.5k
Victor Bahl	777 1.1×	756 1.4×	199 0.7×	165 0.6×	77 0.5×	35	1.2k
Salim Bitam	803 1.1×	740 1.4×	100 0.4×	268 1.0×	184 1.1×	48	1.2k
Rakesh Shrestha	584 0.8×	732 1.4×	73 0.3×	375 1.4×	222 1.3×	42	1.2k
Ahren Studer	579 0.8×	543 1.0×	66 0.2×	299 1.1×	240 1.4×	24	862
Sudha Anbalagan	416 0.6×	401 0.7×	96 0.4×	126 0.5×	187 1.1×	31	755

Countries citing papers authored by Xueshi Hou

Since Specialization

Citations

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

Fields of papers citing papers by Xueshi Hou

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Xueshi Hou

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

All Works

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18 of 18 papers shown

Hou, Ying, et al.. (2021). Multilayer graphene frequency doubler using direct-current bias and reflector networks. Journal of Physics D Applied Physics. 54(17). 175103–175103. 1 indexed citations

Wang, Zhenhua, Xueshi Hou, Xiao Wang, et al.. (2020). Systematically Quantifying IoT Privacy Leakage in Mobile Networks. IEEE Internet of Things Journal. 8(9). 7115–7125. 13 indexed citations

Hou, Xueshi & Sujit Dey. (2020). Motion Prediction and Pre-Rendering at the Edge to Enable Ultra-Low Latency Mobile 6DoF Experiences. IEEE Open Journal of the Communications Society. 1. 1674–1690. 31 indexed citations

Hou, Xueshi, Sujit Dey, Jianzhong Zhang, & Madhukar Budagavi. (2020). Predictive Adaptive Streaming to Enable Mobile 360-Degree and VR Experiences. IEEE Transactions on Multimedia. 23. 716–731. 66 indexed citations

Sheraz, Muhammad, Manzoor Ahmed, Xueshi Hou, et al.. (2020). Artificial Intelligence for Wireless Caching: Schemes, Performance, and Challenges. IEEE Communications Surveys & Tutorials. 23(1). 631–661. 42 indexed citations

Hou, Xueshi, et al.. (2019). Investigations on low sidelobe characteristics of reflectarray antenna for W‐band wireless sensor application. International Journal of RF and Microwave Computer-Aided Engineering. 29(7). e21748–e21748. 1 indexed citations

Hou, Xueshi, Jianzhong Zhang, Madhukar Budagavi, & Sujit Dey. (2019). Head and Body Motion Prediction to Enable Mobile VR Experiences with Low Latency. 1–7. 31 indexed citations

Xiao, Xuefeng, et al.. (2019). Jamcloud: Turning Traffic Jams Into Computation Opportunities–Whose Time Has Come. IEEE Access. 7. 115797–115815. 5 indexed citations

Xiao, Xuefeng, Xueshi Hou, Xinlei Chen, Chenhao Liu, & Yong Li. (2019). Quantitative analysis for capabilities of vehicular fog computing. Information Sciences. 501. 742–760. 15 indexed citations

10.

Hou, Xueshi, et al.. (2019). Characteristic analysis of microwave multilayer MoS₂and graphene frequency tripler. Journal of Electromagnetic Waves and Applications. 33(8). 972–980.

11.

Hou, Xueshi, Sujit Dey, Jianzhong Zhang, & Madhukar Budagavi. (2018). Predictive View Generation to Enable Mobile 360-degree and VR Experiences. 20–26. 37 indexed citations

12.

Hou, Xueshi, et al.. (2018). Novel Hybrid-Cast Approach to Reduce Bandwidth and Latency for Cloud-Based Virtual Space. ACM Transactions on Multimedia Computing Communications and Applications. 14(3s). 1–25. 3 indexed citations

13.

Chen, Chuan, Liangquan Ge, Xueshi Hou, et al.. (2018). Low conversion loss and high isolation harmonic mixer based on multilayer graphene. AIP Advances. 8(10). 6 indexed citations

14.

Hou, Xueshi, Yao Lu, & Sujit Dey. (2017). Wireless VR/AR with Edge/Cloud Computing. 1–8. 66 indexed citations

15.

Hou, Xueshi, Yong Li, Min Chen, et al.. (2016). Vehicular Fog Computing: A Viewpoint of Vehicles as the Infrastructures. IEEE Transactions on Vehicular Technology. 65(6). 3860–3873. 702 indexed citations breakdown →

16.

Hou, Xueshi, et al.. (2016). A Novel Hyper-Cast Approach to Enable Cloud-Based Virtual Classroom Applications. 533–536. 7 indexed citations

17.

Hou, Xueshi, Yong Li, Depeng Jin, Dapeng Wu, & Sheng Chen. (2015). Modeling the Impact of Mobility on the Connectivity of Vehicular Networks in Large-Scale Urban Environments. IEEE Transactions on Vehicular Technology. 65(4). 2753–2758. 43 indexed citations

18.

Liu, Yunfan, et al.. (2014). Facial expression recognition and generation using sparse autoencoder. 125–130. 19 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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