Renyu Yang

2.9k total citations · 1 hit paper
66 papers, 1.8k citations indexed

About

Renyu Yang is a scholar working on Computer Networks and Communications, Information Systems and Artificial Intelligence. According to data from OpenAlex, Renyu Yang has authored 66 papers receiving a total of 1.8k indexed citations (citations by other indexed papers that have themselves been cited), including 49 papers in Computer Networks and Communications, 36 papers in Information Systems and 16 papers in Artificial Intelligence. Recurrent topics in Renyu Yang's work include Cloud Computing and Resource Management (31 papers), IoT and Edge/Fog Computing (22 papers) and Advanced Data Storage Technologies (11 papers). Renyu Yang is often cited by papers focused on Cloud Computing and Resource Management (31 papers), IoT and Edge/Fog Computing (22 papers) and Advanced Data Storage Technologies (11 papers). Renyu Yang collaborates with scholars based in China, United Kingdom and United States. Renyu Yang's co-authors include Jie Xu, Hao Peng, Philip S. Yu, Peter Garraghan, Zhenyu Wen, Lifang He, Jianxin Li, Tianyu Wo, Tao Lin and Michael Rovatsos and has published in prestigious journals such as ACM Computing Surveys, IEEE Transactions on Neural Networks and Learning Systems and IEEE Transactions on Knowledge and Data Engineering.

In The Last Decade

Renyu Yang

63 papers receiving 1.7k citations

Hit Papers

align trajectories

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.

A Survey on Text Classification: From Traditional to Deep Learning

2022 218 citations Qian Li, Hao Peng et al. ACM Transactions on Intelligent Systems and Technology profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Renyu Yang China	22	945	802	681	256	126	66	1.8k
Ming‐Chao Chiang Taiwan	16	541 0.6×	337 0.4×	436 0.6×	269 1.1×	157 1.2×	83	1.3k
Di Niu Canada	23	1.4k 1.4×	821 1.0×	1.1k 1.6×	345 1.3×	375 3.0×	93	2.6k
Guangquan Xu China	26	991 1.0×	1.1k 1.3×	732 1.1×	169 0.7×	307 2.4×	113	2.1k
Yanbin Sun China	16	557 0.6×	376 0.5×	461 0.7×	146 0.6×	186 1.5×	65	1.2k
Agostino Forestiero Italy	22	545 0.6×	246 0.3×	516 0.8×	209 0.8×	103 0.8×	91	1.3k
Hongyang Yan China	22	495 0.5×	739 0.9×	914 1.3×	309 1.2×	166 1.3×	62	1.6k
Xianghan Zheng China	23	871 0.9×	989 1.2×	797 1.2×	206 0.8×	225 1.8×	97	1.8k
Xiaolin Gui China	20	608 0.6×	693 0.9×	1.1k 1.6×	220 0.9×	197 1.6×	143	1.9k
Ruhui Ma China	19	458 0.5×	446 0.6×	540 0.8×	286 1.1×	102 0.8×	104	1.3k

Countries citing papers authored by Renyu Yang

Since Specialization

Citations

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

Fields of papers citing papers by Renyu Yang

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Renyu Yang

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

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

Zhang, Menghao, Guanyu Li, Renyu Yang, et al.. (2025). SuperFE: A Scalable and Flexible Feature Extractor for ML-based Traffic Analysis Applications. 818–834. 1 indexed citations

Peng, Hao, et al.. (2024). SEBot: Structural Entropy Guided Multi-View Contrastive learning for Social Bot Detection. 3841–3852. 8 indexed citations

Ye, Qingqing, et al.. (2024). LDPRecover: Recovering Frequencies from Poisoning Attacks Against Local Differential Privacy. 1619–1631. 8 indexed citations

Qian, Bin, Zhenyu Wen, Renyu Yang, et al.. (2024). Edge-Cloud Collaborative Streaming Video Analytics With Multi-Agent Deep Reinforcement Learning. IEEE Network. 39(1). 165–173. 6 indexed citations

Wang, Rui, et al.. (2024). CutAddPaste: Time Series Anomaly Detection by Exploiting Abnormal Knowledge. 3176–3187. 3 indexed citations

Li, Yangyang, et al.. (2024). GNNRI: detecting anomalous social network users through heterogeneous information networks and user relevance exploration. International Journal of Machine Learning and Cybernetics. 16(4). 2297–2314.

Wen, Zhenyu, Renyu Yang, Bin Qian, et al.. (2023). Janus: Latency-Aware Traffic Scheduling for IoT Data Streaming in Edge Environments. IEEE Transactions on Services Computing. 16(6). 4302–4316. 9 indexed citations

Yang, Renyu, et al.. (2023). FedACK: Federated Adversarial Contrastive Knowledge Distillation for Cross-Lingual and Cross-Model Social Bot Detection. arXiv (Cornell University). 1314–1323. 17 indexed citations

Yang, Renyu, Yangyang Li, Zhiqin Yang, et al.. (2022). RoSGAS : Adaptive Social Bot Detection with Reinforced Self-supervised GNN Architecture Search. ACM Transactions on the Web. 17(3). 1–31. 35 indexed citations

10.

Li, Qian, Hao Peng, Jianxin Li, et al.. (2022). A Survey on Text Classification: From Traditional to Deep Learning. ACM Transactions on Intelligent Systems and Technology. 13(2). 1–41. 218 indexed citations breakdown →

11.

Peng, Hao, Renyu Yang, Zheng Wang, et al.. (2021). Lime: Low-Cost and Incremental Learning for Dynamic Heterogeneous Information Networks. IEEE Transactions on Computers. 71(3). 628–642. 55 indexed citations

12.

Hei, Yiming, Renyu Yang, Hao Peng, et al.. (2021). Hawk: Rapid Android Malware Detection Through Heterogeneous Graph Attention Networks. IEEE Transactions on Neural Networks and Learning Systems. 35(4). 4703–4717. 56 indexed citations

13.

Peng, Hao, Jianxin Li, Yangqiu Song, et al.. (2021). Streaming Social Event Detection and Evolution Discovery in Heterogeneous Information Networks. ACM Transactions on Knowledge Discovery from Data. 15(5). 1–33. 65 indexed citations

14.

Peng, Hao, et al.. (2021). Reinforced Neighborhood Selection Guided Multi-Relational Graph Neural Networks. ACM Transactions on Information Systems. 40(4). 1–46. 96 indexed citations

15.

Hong, Zhen, et al.. (2021). BisSiam: Bispectrum Siamese Network Based Contrastive Learning for UAV Anomaly Detection. IEEE Transactions on Knowledge and Data Engineering. 35(12). 12109–12124. 14 indexed citations

16.

Yang, Renyu, Chunming Hu, Peter Garraghan, et al.. (2020). Performance-Aware Speculative Resource Oversubscription for Large-Scale Clusters. IEEE Transactions on Parallel and Distributed Systems. 31(7). 1499–1517. 21 indexed citations

17.

Qian, Bin, Jie Su, Zhenyu Wen, et al.. (2020). Orchestrating the Development Lifecycle of Machine Learning-based IoT Applications. ACM Computing Surveys. 53(4). 1–47. 108 indexed citations

18.

Li, Qian, Hao Peng, Jianxin Li, et al.. (2020). A Text Classification Survey: From Shallow to Deep Learning. arXiv (Cornell University). 7 indexed citations

19.

Peng, Hao, Jianxin Li, Senzhang Wang, et al.. (2019). Hierarchical Taxonomy-Aware and Attentional Graph Capsule RCNNs for Large-Scale Multi-Label Text Classification. IEEE Transactions on Knowledge and Data Engineering. 33(6). 2505–2519. 124 indexed citations

20.

Qian, Bin, Jie Su, Zhenyu Wen, et al.. (2019). Orchestrating Development Lifecycle of Machine Learning Based IoT Applications: A Survey.. arXiv (Cornell University). 1 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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