Weiwei Lin

4.5k total citations · 1 hit paper
172 papers, 3.0k citations indexed

About

Weiwei Lin is a scholar working on Computer Networks and Communications, Information Systems and Artificial Intelligence. According to data from OpenAlex, Weiwei Lin has authored 172 papers receiving a total of 3.0k indexed citations (citations by other indexed papers that have themselves been cited), including 99 papers in Computer Networks and Communications, 94 papers in Information Systems and 43 papers in Artificial Intelligence. Recurrent topics in Weiwei Lin's work include Cloud Computing and Resource Management (83 papers), IoT and Edge/Fog Computing (65 papers) and Distributed and Parallel Computing Systems (32 papers). Weiwei Lin is often cited by papers focused on Cloud Computing and Resource Management (83 papers), IoT and Edge/Fog Computing (65 papers) and Distributed and Parallel Computing Systems (32 papers). Weiwei Lin collaborates with scholars based in China, United States and United Kingdom. Weiwei Lin's co-authors include Wentai Wu, James Z. Wang, Victor Chang, Ligang He, Deyu Qi, Xiongwen Pang, Keqin Li, Pan Wang, Liang Chen and Zhiping Peng and has published in prestigious journals such as Expert Systems with Applications, IEEE Access and Sensors.

In The Last Decade

Weiwei Lin

152 papers receiving 2.9k citations

Hit Papers

An innovative neural network approach for stock market pr... 2018 2026 2020 2023 2018 50 100 150 200 250
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. An innovative neural network approach for stock market prediction
    2018 294 citations Weiwei Lin et al. profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Weiwei Lin China 31 1.5k 1.4k 761 548 380 172 3.0k
Rajarshi Das United States 23 1.1k 0.7× 981 0.7× 1.3k 1.7× 267 0.5× 355 0.9× 67 2.9k
Sheng Zhong China 32 2.2k 1.4× 634 0.4× 1.6k 2.0× 1.0k 1.9× 183 0.5× 217 4.2k
Yogesh Simmhan United States 27 1.9k 1.3× 1.8k 1.3× 571 0.8× 453 0.8× 359 0.9× 126 3.3k
Kashif Bilal Pakistan 31 1.9k 1.2× 1.4k 1.0× 616 0.8× 561 1.0× 93 0.2× 76 3.1k
Kwang Mong Sim Hong Kong 29 1.3k 0.9× 1.2k 0.8× 916 1.2× 214 0.4× 637 1.7× 110 2.7k
Herodotos Herodotou Cyprus 19 1.1k 0.7× 1.1k 0.8× 423 0.6× 487 0.9× 115 0.3× 77 2.2k
Jaydip Sen India 15 1.1k 0.7× 443 0.3× 316 0.4× 471 0.9× 234 0.6× 83 2.0k
Dong Yuan Australia 28 1.9k 1.2× 1.7k 1.2× 578 0.8× 338 0.6× 60 0.2× 194 3.0k
Sheng Zhang China 33 1.3k 0.8× 552 0.4× 639 0.8× 861 1.6× 168 0.4× 215 3.3k
Christian Esposito Italy 29 1.6k 1.0× 1.6k 1.2× 897 1.2× 465 0.8× 123 0.3× 149 3.3k

Countries citing papers authored by Weiwei Lin

Since Specialization
Citations

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

Fields of papers citing papers by Weiwei Lin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Weiwei Lin

This figure shows the co-authorship network connecting the top 25 collaborators of Weiwei Lin. A scholar is included among the top collaborators of Weiwei Lin 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 Weiwei Lin. Weiwei Lin 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.
Liu, Guozhi, et al.. (2025). Public Datasets for Cloud Computing: A Comprehensive Survey. ACM Computing Surveys. 57(8). 1–38. 3 indexed citations
2.
Lin, Weiwei, et al.. (2025). On Efficiency, Fairness and Security in AI Accelerator Resource Sharing: A Survey. ACM Computing Surveys. 57(9). 1–35.
3.
Lin, Weiwei, et al.. (2025). Cacomp: A Cloud-Assisted Collaborative Deep Learning Compiler Framework for DNN Tasks on Edge. IEEE Transactions on Computers. 74(8). 2663–2674.
4.
Lin, Weiwei, et al.. (2025). SynFlowFL: A Dynamic Synaptic Flow Framework for Efficient, Personalized Federated Learning. IEEE Transactions on Emerging Topics in Computational Intelligence. 9(5). 3426–3440.
5.
Lin, Weiwei, et al.. (2025). Container Scheduling Strategy Based on Image Layer Reuse and Sequential Arrangement in Mobile Edge Computing. IEEE Transactions on Mobile Computing. 24(9). 8700–8713. 1 indexed citations
6.
Lin, Weiwei, et al.. (2025). Adaptive Incremental Broad Learning System Based on Interval Type-2 Fuzzy Set With Automatic Determination of Hyperparameters. IEEE Transactions on Fuzzy Systems. 33(6). 1713–1725. 2 indexed citations
7.
Liu, Guozhi, et al.. (2025). Prodigal: Backdoor defense for federated learning beyond robust aggregation. Knowledge-Based Systems. 333. 114903–114903.
8.
Yu, Li, et al.. (2024). Study on green power supply modes for heavy load in remote areas. Global Energy Interconnection. 7(4). 475–485.
9.
Liu, Guodong, et al.. (2024). A novel virtual machine consolidation algorithm with server power mode management for energy-efficient cloud data centers. Cluster Computing. 27(8). 11709–11725. 4 indexed citations
10.
Lin, Weiwei, et al.. (2024). A systematic review of green-aware management techniques for sustainable data center. Sustainable Computing Informatics and Systems. 42. 100989–100989. 11 indexed citations
11.
Peng, Peng, Weiwei Lin, Wentai Wu, et al.. (2024). A survey on computation offloading in edge systems: From the perspective of deep reinforcement learning approaches. Computer Science Review. 53. 100656–100656. 15 indexed citations
12.
Lin, Weiwei, et al.. (2024). PETformer: Long-Term Time Series Forecasting via Placeholder-Enhanced Transformer. IEEE Transactions on Emerging Topics in Computational Intelligence. 9(2). 1189–1201. 10 indexed citations
13.
Lin, Weiwei, et al.. (2024). Prediction of Heterogeneous Device Task Runtime Based on Edge Server-Oriented Deep Neuro-Fuzzy System. IEEE Transactions on Services Computing. 18(1). 372–384. 2 indexed citations
14.
Wang, Xiumin, et al.. (2024). Joint AoI-Aware UAVs Trajectory Planning and Data Collection in UAV-Based IoT Systems: A Deep Reinforcement Learning Approach. IEEE Transactions on Consumer Electronics. 70(4). 6484–6495. 13 indexed citations
15.
Lin, Weiwei, et al.. (2023). Cocv: A compression algorithm for time-series data with continuous constant values in IoT-based monitoring systems. Internet of Things. 25. 101049–101049. 4 indexed citations
16.
Lin, Weiwei, et al.. (2023). Efficient Client Selection Based on Contextual Combinatorial Multi-Arm Bandits. IEEE Transactions on Wireless Communications. 22(8). 5265–5277. 24 indexed citations
17.
Huang, Tiansheng, Weiwei Lin, Xiaobin Hong, et al.. (2021). Adaptive Processor Frequency Adjustment for Mobile-Edge Computing With Intermittent Energy Supply. IEEE Internet of Things Journal. 9(10). 7446–7462. 8 indexed citations
18.
Wang, Xiumin, et al.. (2020). Stable Task Assignment for Mobile Crowdsensing With Budget Constraint. IEEE Transactions on Mobile Computing. 20(12). 3439–3452. 45 indexed citations
19.
Wu, Wentai, et al.. (2020). Developing an Unsupervised Real-Time Anomaly Detection Scheme for Time Series With Multi-Seasonality. IEEE Transactions on Knowledge and Data Engineering. 34(9). 4147–4160. 40 indexed citations
20.

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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