Yingya Guo

825 total citations
50 papers, 539 citations indexed

About

Yingya Guo is a scholar working on Computer Networks and Communications, Electrical and Electronic Engineering and Artificial Intelligence. According to data from OpenAlex, Yingya Guo has authored 50 papers receiving a total of 539 indexed citations (citations by other indexed papers that have themselves been cited), including 38 papers in Computer Networks and Communications, 20 papers in Electrical and Electronic Engineering and 11 papers in Artificial Intelligence. Recurrent topics in Yingya Guo's work include Software-Defined Networks and 5G (26 papers), Advanced Optical Network Technologies (14 papers) and Network Traffic and Congestion Control (12 papers). Yingya Guo is often cited by papers focused on Software-Defined Networks and 5G (26 papers), Advanced Optical Network Technologies (14 papers) and Network Traffic and Congestion Control (12 papers). Yingya Guo collaborates with scholars based in China, United States and Hong Kong. Yingya Guo's co-authors include Zhiliang Wang, Xingang Shi, Jian Wu, Xia Yin, Xia Yin, Dan Wang, Shunxin Xiao, Shiping Wang, William Zhu and Han Zhang and has published in prestigious journals such as SHILAP Revista de lepidopterología, Information Sciences and IEEE Internet of Things Journal.

In The Last Decade

Yingya Guo

44 papers receiving 529 citations

Peers

Yingya Guo

CNC

EEE

CVPR

Zhihan Liu China

Sujata Pal India

Thi Mai Trang Nguyen France

Hasnat Khurshid Pakistan

Chuan Xu China

Tarak Nandy Malaysia

Dianxiong Liu China

Wei‐Tsong Lee Taiwan

Ziqiang Feng United States

Haitao Zhang China

Zhihan Liu China

Yingya Guo

264 ×0.6

CNC

208 ×1.1

EEE

62 ×0.5

42 ×0.8

CVPR

78 ×1.5

Citations per year, relative to Yingya Guo Yingya Guo (= 1×) peers Zhihan Liu

Countries citing papers authored by Yingya Guo

Since Specialization

Citations

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

Fields of papers citing papers by Yingya Guo

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yingya Guo

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

All Works

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20 of 20 papers shown

Guo, Yingya, et al.. (2025). DITE: Achieving Distributed Intelligent Traffic Engineering With Sparse Network-Wide Guidance. IEEE Transactions on Network Science and Engineering. 12(6). 4804–4817. 1 indexed citations

Guo, Yingya, et al.. (2025). DRLO: Optimizing edge server placement in dynamic MEC scenarios using deep reinforcement learning. Computer Networks. 268. 111377–111377.

Guo, Yingya, et al.. (2025). Mamba-NTP: Mamba-based network traffic prediction with sparse measurements. Journal of Network and Computer Applications. 244. 104364–104364.

Guo, Yingya, et al.. (2025). PROM: A persistent routing optimization method based on supervised learning. Journal of Network and Computer Applications. 242. 104223–104223.

Guo, Yingya, et al.. (2024). Network traffic prediction with Attention-based Spatial–Temporal Graph Network. Computer Networks. 243. 110296–110296. 9 indexed citations

Guo, Yingya, et al.. (2024). TITE: A transformer-based deep reinforcement learning approach for traffic engineering in hybrid SDN with dynamic traffic. Future Generation Computer Systems. 161. 95–105. 6 indexed citations

Guo, Yingya, et al.. (2024). FRRL: A reinforcement learning approach for link failure recovery in a hybrid SDN. Journal of Network and Computer Applications. 234. 104054–104054. 4 indexed citations

Guo, Yingya, et al.. (2024). GROM: A generalized routing optimization method with graph neural network and deep reinforcement learning. Journal of Network and Computer Applications. 229. 103927–103927. 12 indexed citations

Guo, Yingya, et al.. (2024). MATE: A multi-agent reinforcement learning approach for Traffic Engineering in Hybrid Software Defined Networks. Journal of Network and Computer Applications. 231. 103981–103981. 2 indexed citations

10.

Chen, Yuhan & Yingya Guo. (2024). Network link weight optimization based on antisymmetric deep graph networks and reinforcement learning. 96–99.

11.

Guo, Yingya, et al.. (2023). Distributionally Robust Federated Learning for Network Traffic Classification With Noisy Labels. IEEE Transactions on Mobile Computing. 23(5). 6212–6226. 5 indexed citations

12.

Wan, Xia, et al.. (2023). Capturing Spatial-Temporal Correlations with Attention Based Graph Convolutional Networks for Network Traffic Prediction. 95–99. 3 indexed citations

13.

Guo, Yingya, et al.. (2022). Improve the Energy Efficiency of Datacenters With the Awareness of Workload Variability. IEEE Transactions on Network and Service Management. 19(2). 1260–1273. 4 indexed citations

14.

Zhang, Han, Xia Yin, Xingang Shi, et al.. (2022). Achieving High Availability in Inter-DC WAN Traffic Engineering. IEEE/ACM Transactions on Networking. 31(6). 2406–2421. 6 indexed citations

15.

Fang, Lina, et al.. (2021). A joint network of point cloud and multiple views for roadside objects recognition from mobile laser point clouds. SHILAP Revista de lepidopterología. 3 indexed citations

16.

Guo, Yingya, Han Zhang, Wenzhong Guo, et al.. (2021). Traffic Engineering in Hybrid Software Defined Network via Reinforcement Learning. Journal of Network and Computer Applications. 189. 103116–103116. 22 indexed citations

17.

Guo, Yingya, et al.. (2021). WCL: Client Selection in Federated Learning with a Combination of Model Weight Divergence and Client Training Loss for Internet Traffic Classification. Wireless Communications and Mobile Computing. 2021(1). 6 indexed citations

18.

Wang, Zhiliang, et al.. (2020). Traffic Engineering in Partially Deployed Segment Routing Over IPv6 Network With Deep Reinforcement Learning. IEEE/ACM Transactions on Networking. 28(4). 1573–1586. 40 indexed citations

19.

Tian, Geng, Zhiliang Wang, Xia Yin, et al.. (2017). CEFF: An efficient approach for traffic anomaly detection and classification. 779–786. 2 indexed citations

20.

Tian, Geng, Xia Yin, Zimu Li, et al.. (2015). Mining network traffic anomaly based on adjustable piecewise entropy. 39. 299–308. 5 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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