Liangyu Huo

602 total citations
13 papers, 425 citations indexed

About

Liangyu Huo is a scholar working on Computer Networks and Communications, Computer Vision and Pattern Recognition and Aerospace Engineering. According to data from OpenAlex, Liangyu Huo has authored 13 papers receiving a total of 425 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Computer Networks and Communications, 5 papers in Computer Vision and Pattern Recognition and 4 papers in Aerospace Engineering. Recurrent topics in Liangyu Huo's work include Visual Attention and Saliency Detection (5 papers), Opportunistic and Delay-Tolerant Networks (5 papers) and Satellite Communication Systems (3 papers). Liangyu Huo is often cited by papers focused on Visual Attention and Saliency Detection (5 papers), Opportunistic and Delay-Tolerant Networks (5 papers) and Satellite Communication Systems (3 papers). Liangyu Huo collaborates with scholars based in China, United Kingdom and Luxembourg. Liangyu Huo's co-authors include Chen Han, Haichao Wang, Mai Xu, Zulin Wang, Yuhang Song, Minglang Qiao, Jianyi Wang, Aijun Liu, Xiaohu Liang and Xian Liu and has published in prestigious journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, IEEE Transactions on Communications and IEEE Transactions on Vehicular Technology.

In The Last Decade

Liangyu Huo

13 papers receiving 422 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Liangyu Huo China	8	187	153	150	104	66	13	425
Arani Bhattacharya United States	12	204 1.1×	39 0.3×	165 1.1×	123 1.2×	104 1.6×	37	403
Xumiao Zhang United States	6	114 0.6×	39 0.3×	105 0.7×	137 1.3×	48 0.7×	15	292
Libiao Jin China	11	79 0.4×	110 0.7×	93 0.6×	186 1.8×	30 0.5×	78	414
Jianwei Liu China	12	79 0.4×	36 0.2×	76 0.5×	160 1.5×	108 1.6×	40	345
Haojun Ai China	11	133 0.7×	49 0.3×	39 0.3×	97 0.9×	70 1.1×	45	319
Eduardo Marques Brazil	10	176 0.9×	156 1.0×	54 0.4×	106 1.0×	13 0.2×	44	426
Sven Fleck Germany	10	301 1.6×	75 0.5×	50 0.3×	73 0.7×	17 0.3×	21	353
Chetna Singhal India	11	110 0.6×	95 0.6×	247 1.6×	238 2.3×	52 0.8×	67	446
Nikolaos Zioulis Greece	12	327 1.7×	85 0.6×	58 0.4×	37 0.4×	24 0.4×	33	445

Countries citing papers authored by Liangyu Huo

Since Specialization

Citations

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

Fields of papers citing papers by Liangyu Huo

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Liangyu Huo

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

All Works

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13 of 13 papers shown

Yang, Li, Mai Xu, Tie Liu, Liangyu Huo, & Xinbo Gao. (2022). TVFormer: Trajectory-guided Visual Quality Assessment on 360° Images with Transformers. Proceedings of the 30th ACM International Conference on Multimedia. 799–808. 16 indexed citations

Huo, Liangyu, Zulin Wang, Mai Xu, & Yuhang Song. (2022). A Task-Agnostic Regularizer for Diverse Subpolicy Discovery in Hierarchical Reinforcement Learning. IEEE Transactions on Systems Man and Cybernetics Systems. 53(3). 1932–1944. 5 indexed citations

Han, Chen, et al.. (2021). Distributed Resource Management Framework for IoS Against Malicious Jamming. IEEE Transactions on Communications. 69(12). 8271–8286. 9 indexed citations

Han, Chen, Aijun Liu, Kang An, et al.. (2021). Satellite-Assisted UAV Trajectory Control in Hostile Jamming Environments. IEEE Transactions on Vehicular Technology. 71(4). 3760–3775. 22 indexed citations

Han, Chen, Aijun Liu, Haichao Wang, Liangyu Huo, & Xiaohu Liang. (2020). Dynamic Anti-Jamming Coalition for Satellite-Enabled Army IoT: A Distributed Game Approach. IEEE Internet of Things Journal. 7(11). 10932–10944. 60 indexed citations

Han, Chen, et al.. (2020). Spatial Anti-Jamming Scheme for Internet of Satellites Based on the Deep Reinforcement Learning and Stackelberg Game. IEEE Transactions on Vehicular Technology. 69(5). 5331–5342. 71 indexed citations

Huo, Liangyu, Zulin Wang, Mai Xu, & Yuhang Song. (2020). Learning Diverse Sub-Policies via a Task-Agnostic Regularization on Action Distributions. 2 indexed citations

Han, Chen, Aijun Liu, Liangyu Huo, Haichao Wang, & Xiaohu Liang. (2020). Anti-Jamming Routing For Internet of Satellites: a Reinforcement Learning Approach. 2877–2881. 11 indexed citations

Han, Chen, Aijun Liu, Liangyu Huo, Haichao Wang, & Xiaohu Liang. (2019). A Prediction-Based Resource Matching Scheme for Rentable LEO Satellite Communication Network. IEEE Communications Letters. 24(2). 414–417. 37 indexed citations

10.

Huo, Liangyu, et al.. (2019). A Meta-Learning Framework for Learning Multi-User Preferences in QoE Optimization of DASH. IEEE Transactions on Circuits and Systems for Video Technology. 30(9). 3210–3225. 7 indexed citations

11.

Huo, Liangyu, Zulin Wang, Mai Xu, Zhiguo Ding, & Xiaoming Tao. (2019). Optimizing QoE of Multiple Users over DASH: A Meta-learning Approach. 3032–3036. 3 indexed citations

12.

Xu, Mai, Yuhang Song, Jianyi Wang, et al.. (2018). Predicting Head Movement in Panoramic Video: A Deep Reinforcement Learning Approach. IEEE Transactions on Pattern Analysis and Machine Intelligence. 41(11). 2693–2708. 179 indexed citations

13.

Song, Yuhang, Mai Xu, Minglang Qiao, et al.. (2017). Modeling Attention in Panoramic Video: A Deep Reinforcement Learning Approach.. 3 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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