Wei Liang

6.0k total citations · 13 hit papers
66 papers, 4.2k citations indexed

About

Wei Liang is a scholar working on Artificial Intelligence, Computer Networks and Communications and Information Systems. According to data from OpenAlex, Wei Liang has authored 66 papers receiving a total of 4.2k indexed citations (citations by other indexed papers that have themselves been cited), including 35 papers in Artificial Intelligence, 14 papers in Computer Networks and Communications and 13 papers in Information Systems. Recurrent topics in Wei Liang's work include Privacy-Preserving Technologies in Data (10 papers), Complex Network Analysis Techniques (8 papers) and Advanced Graph Neural Networks (7 papers). Wei Liang is often cited by papers focused on Privacy-Preserving Technologies in Data (10 papers), Complex Network Analysis Techniques (8 papers) and Advanced Graph Neural Networks (7 papers). Wei Liang collaborates with scholars based in China, Japan and New Zealand. Wei Liang's co-authors include Xiaokang Zhou, Kevin I‐Kai Wang, Qun Jin, Jianhua Ma, Zheng Yan, Shohei Shimizu, Laurence T. Yang, Yue Li, Xuesong Xu and Zhi Zeng and has published in prestigious journals such as SHILAP Revista de lepidopterología, JNCI Journal of the National Cancer Institute and IEEE Journal on Selected Areas in Communications.

In The Last Decade

Wei Liang

61 papers receiving 4.1k citations

Hit Papers

Deep-Learning-Enhanced Human Activity Recognition for Int... 2020 2026 2022 2024 2020 2020 2020 2020 2021 100 200 300
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.

  1. Deep-Learning-Enhanced Human Activity Recognition for Internet of Healthcare Things
    2020 342 citations Xiaokang Zhou, Wei Liang et al. IEEE Internet of Things Journal profile →
  2. CNN-RNN Based Intelligent Recommendation for Online Medical Pre-Diagnosis Support
    2020 319 citations Xiaokang Zhou, Wei Liang et al. profile →
  3. Variational LSTM Enhanced Anomaly Detection for Industrial Big Data
    2020 290 citations Xiaokang Zhou, Wei Liang et al. IEEE Transactions on Industrial Informatics profile →
  4. Siamese Neural Network Based Few-Shot Learning for Anomaly Detection in Industrial Cyber-Physical Systems
    2020 248 citations Xiaokang Zhou, Wei Liang et al. IEEE Transactions on Industrial Informatics profile →
  5. Deep-Learning-Enhanced Multitarget Detection for End–Edge–Cloud Surveillance in Smart IoT
    2021 245 citations Xiaokang Zhou, Xuesong Xu et al. IEEE Internet of Things Journal profile →
  6. Deep Correlation Mining Based on Hierarchical Hybrid Networks for Heterogeneous Big Data Recommendations
    2020 231 citations Xiaokang Zhou, Wei Liang et al. IEEE Transactions on Computational Social Systems profile →
  7. Intelligent Small Object Detection for Digital Twin in Smart Manufacturing With Industrial Cyber-Physical Systems
    2021 212 citations Xiaokang Zhou, Xuesong Xu et al. IEEE Transactions on Industrial Informatics profile →
  8. Two-Layer Federated Learning With Heterogeneous Model Aggregation for 6G Supported Internet of Vehicles
    2021 208 citations Xiaokang Zhou, Wei Liang et al. IEEE Transactions on Vehicular Technology profile →
  9. Hierarchical Adversarial Attacks Against Graph-Neural-Network-Based IoT Network Intrusion Detection System
    2021 206 citations Xiaokang Zhou, Wei Liang et al. IEEE Internet of Things Journal profile →
  10. Hierarchical Federated Learning With Social Context Clustering-Based Participant Selection for Internet of Medical Things Applications
    2023 143 citations Xiaokang Zhou, Kevin I‐Kai Wang et al. IEEE Transactions on Computational Social Systems profile →
  11. Decentralized P2P Federated Learning for Privacy-Preserving and Resilient Mobile Robotic Systems
    2023 125 citations Wei Liang, Kevin I‐Kai Wang et al. profile →
  12. Digital Twin Enhanced Federated Reinforcement Learning With Lightweight Knowledge Distillation in Mobile Networks
    2023 119 citations Xiaokang Zhou, Jiashuai Shi et al. IEEE Journal on Selected Areas in Communications profile →
  13. Personalized Federated Learning With Model-Contrastive Learning for Multi-Modal User Modeling in Human-Centric Metaverse
    2024 64 citations Xiaokang Zhou, Wei Liang et al. IEEE Journal on Selected Areas in Communications profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Wei Liang China 29 2.0k 1.3k 868 763 534 66 4.2k
Qun Jin Japan 32 2.0k 1.0× 1.6k 1.2× 1.2k 1.4× 999 1.3× 633 1.2× 314 5.2k
Nebojša Bačanin Serbia 42 2.6k 1.3× 1.2k 0.9× 899 1.0× 898 1.2× 1.0k 1.9× 282 5.7k
Zhikui Chen China 37 2.1k 1.0× 1.5k 1.2× 890 1.0× 1.3k 1.7× 896 1.7× 199 5.3k
Xiaochun Cheng United Kingdom 34 1.5k 0.7× 1.4k 1.0× 969 1.1× 535 0.7× 608 1.1× 219 3.9k
Xingjuan Cai China 32 2.0k 1.0× 1.4k 1.1× 1.3k 1.5× 682 0.9× 630 1.2× 130 4.8k
Sagheer Abbas Pakistan 40 1.4k 0.7× 991 0.7× 1.0k 1.2× 713 0.9× 556 1.0× 150 4.6k
Abdu Gumaei Saudi Arabia 33 1.4k 0.7× 1.3k 1.0× 742 0.9× 705 0.9× 356 0.7× 133 4.2k
Salama A. Mostafa Malaysia 36 1.5k 0.7× 1.2k 0.9× 395 0.5× 651 0.9× 549 1.0× 177 4.1k
Chinmay Chakraborty India 38 1.4k 0.7× 1.2k 0.9× 830 1.0× 769 1.0× 591 1.1× 195 4.5k
Jianhua Ma Japan 32 1.5k 0.7× 2.0k 1.5× 961 1.1× 729 1.0× 723 1.4× 252 4.5k

Countries citing papers authored by Wei Liang

Since Specialization
Citations

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

Fields of papers citing papers by Wei Liang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Wei Liang

This figure shows the co-authorship network connecting the top 25 collaborators of Wei Liang. A scholar is included among the top collaborators of Wei Liang 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 Wei Liang. Wei Liang 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.
Liang, Wei, Haijie Wang, Rong Huang, et al.. (2025). Molecular mechanisms of the anchang group prescription in treating radiation enteritis: network pharmacology analysis and experimental evidence. Frontiers in Pharmacology. 16. 1524925–1524925.
2.
Cao, Peng, Guangqi Wen, Lanting Li, et al.. (2025). CGMAE: Self-supervised Masked Auto-Encoder with Cross-Graph node alignment for node classification. Engineering Applications of Artificial Intelligence. 163. 112910–112910.
3.
Zhou, Xiaokang, Wei Liang, Kevin I‐Kai Wang, et al.. (2025). Decentralized Federated Graph Learning With Lightweight Zero Trust Architecture for Next-Generation Networking Security. IEEE Journal on Selected Areas in Communications. 43(6). 1908–1922. 8 indexed citations
4.
Zhou, Xiaokang, et al.. (2024). Multitask Correlation Constrained Topological Learning Toward Smart Prognostic and Health Management in IoT. IEEE Internet of Things Journal. 11(24). 39487–39496. 1 indexed citations
5.
Zhou, Xiaokang, Qiang Liu, Wei Liang, et al.. (2023). Spatial–Temporal Federated Transfer Learning with multi-sensor data fusion for cooperative positioning. Information Fusion. 105. 102182–102182. 71 indexed citations
6.
Zhou, Xiaokang, Jiashuai Shi, Wei Liang, et al.. (2023). Digital Twin Enhanced Federated Reinforcement Learning With Lightweight Knowledge Distillation in Mobile Networks. IEEE Journal on Selected Areas in Communications. 41(10). 3191–3211. 119 indexed citations breakdown →
7.
Liang, Wei, et al.. (2023). Federal learning edge network based sentiment analysis combating global COVID-19. Computer Communications. 204. 33–42. 18 indexed citations
8.
Zhou, Xiaokang, Wei Liang, Ke Yan, et al.. (2022). Edge-Enabled Two-Stage Scheduling Based on Deep Reinforcement Learning for Internet of Everything. IEEE Internet of Things Journal. 10(4). 3295–3304. 96 indexed citations
9.
Zhou, Xiaokang, Hailiang Hou, Wei Liang, Kevin I‐Kai Wang, & Qun Jin. (2022). Intelligent Containment Control With Double Constraints for Cloud-Based Collaborative Manufacturing. IEEE Transactions on Industrial Informatics. 19(6). 7541–7551. 7 indexed citations
10.
Liang, Wei, et al.. (2022). Bi-Dueling DQN Enhanced Two-Stage Scheduling for Augmented Surveillance in Smart EMS. IEEE Transactions on Industrial Informatics. 19(7). 8218–8228. 12 indexed citations
11.
Zhou, Xiaokang, et al.. (2022). Distribution Bias Aware Collaborative Generative Adversarial Network for Imbalanced Deep Learning in Industrial IoT. IEEE Transactions on Industrial Informatics. 19(1). 570–580. 124 indexed citations
12.
Chen, Yan, Xiaokang Zhou, Akira Kawai, et al.. (2022). Graph Attention Network With Spatial-Temporal Clustering for Traffic Flow Forecasting in Intelligent Transportation System. IEEE Transactions on Intelligent Transportation Systems. 24(8). 8727–8737. 34 indexed citations
13.
Zhou, Xiaokang, et al.. (2021). Periodic-Aware Intelligent Prediction Model for Information Diffusion in Social Networks. IEEE Transactions on Network Science and Engineering. 8(2). 894–904. 66 indexed citations
14.
Zhou, Xiaokang, Wei Liang, Weimin Li, et al.. (2021). Hierarchical Adversarial Attacks Against Graph-Neural-Network-Based IoT Network Intrusion Detection System. IEEE Internet of Things Journal. 9(12). 9310–9319. 206 indexed citations breakdown →
15.
Zhou, Xiaokang, Xuesong Xu, Wei Liang, Zhi Zeng, & Zheng Yan. (2021). Deep-Learning-Enhanced Multitarget Detection for End–Edge–Cloud Surveillance in Smart IoT. IEEE Internet of Things Journal. 8(16). 12588–12596. 245 indexed citations breakdown →
16.
Zhou, Xiaokang, Xuesong Xu, Wei Liang, et al.. (2021). Intelligent Small Object Detection for Digital Twin in Smart Manufacturing With Industrial Cyber-Physical Systems. IEEE Transactions on Industrial Informatics. 18(2). 1377–1386. 212 indexed citations breakdown →
17.
Liang, Wei, et al.. (2021). Variational Few-Shot Learning for Microservice-Oriented Intrusion Detection in Distributed Industrial IoT. IEEE Transactions on Industrial Informatics. 18(8). 5087–5095. 117 indexed citations
18.
Zhou, Xiaokang, Wei Liang, Jinhua She, Zheng Yan, & Kevin I‐Kai Wang. (2021). Two-Layer Federated Learning With Heterogeneous Model Aggregation for 6G Supported Internet of Vehicles. IEEE Transactions on Vehicular Technology. 70(6). 5308–5317. 208 indexed citations breakdown →
19.
Zhou, Xiaokang, et al.. (2019). Social Recommendation With Large-Scale Group Decision-Making for Cyber-Enabled Online Service. IEEE Transactions on Computational Social Systems. 6(5). 1073–1082. 44 indexed citations
20.
Zhou, Xiaokang, Wei Liang, Kevin I‐Kai Wang, Runhe Huang, & Qun Jin. (2018). Academic Influence Aware and Multidimensional Network Analysis for Research Collaboration Navigation Based on Scholarly Big Data. IEEE Transactions on Emerging Topics in Computing. 9(1). 246–257. 151 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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