Wei Yang Bryan Lim

7.0k total citations · 7 hit papers
67 papers, 4.6k citations indexed

About

Wei Yang Bryan Lim is a scholar working on Artificial Intelligence, Computer Networks and Communications and Electrical and Electronic Engineering. According to data from OpenAlex, Wei Yang Bryan Lim has authored 67 papers receiving a total of 4.6k indexed citations (citations by other indexed papers that have themselves been cited), including 43 papers in Artificial Intelligence, 32 papers in Computer Networks and Communications and 15 papers in Electrical and Electronic Engineering. Recurrent topics in Wei Yang Bryan Lim's work include Privacy-Preserving Technologies in Data (35 papers), IoT and Edge/Fog Computing (19 papers) and Mobile Crowdsensing and Crowdsourcing (14 papers). Wei Yang Bryan Lim is often cited by papers focused on Privacy-Preserving Technologies in Data (35 papers), IoT and Edge/Fog Computing (19 papers) and Mobile Crowdsensing and Crowdsourcing (14 papers). Wei Yang Bryan Lim collaborates with scholars based in Singapore, China and Canada. Wei Yang Bryan Lim's co-authors include Dusit Niyato, Chunyan Miao, Zehui Xiong, Qiang Yang, Nguyen Cong Luong, Yutao Jiao, Ying‐Chang Liang, Dinh Thai Hoang, Cyril Leung and Jiawen Kang and has published in prestigious journals such as IEEE Communications Surveys & Tutorials, IEEE Journal on Selected Areas in Communications and IEEE Transactions on Communications.

In The Last Decade

Wei Yang Bryan Lim

63 papers receiving 4.6k citations

Hit Papers

Federated Learning in Mobile Edge Networks: A Comprehensi... 2020 2026 2022 2024 2020 2022 2022 2021 2021 500 1000 1.5k
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. Federated Learning in Mobile Edge Networks: A Comprehensive Survey
    2020 1.6k citations Wei Yang Bryan Lim, Nguyen Cong Luong et al. IEEE Communications Surveys & Tutorials profile →
  2. A Full Dive Into Realizing the Edge-Enabled Metaverse: Visions, Enabling Technologies, and Challenges
    2022 371 citations Minrui Xu, Wei Chong Ng et al. IEEE Communications Surveys & Tutorials profile →
  3. Semantic Communications for Future Internet: Fundamentals, Applications, and Challenges
    2022 331 citations Hongyang Du, Zi Qin Liew et al. IEEE Communications Surveys & Tutorials profile →
  4. Towards Federated Learning in UAV-Enabled Internet of Vehicles: A Multi-Dimensional Contract-Matching Approach
    2021 238 citations Wei Yang Bryan Lim, Jianqiang Huang et al. IEEE Transactions on Intelligent Transportation Systems profile →
  5. Decentralized Edge Intelligence: A Dynamic Resource Allocation Framework for Hierarchical Federated Learning
    2021 207 citations Wei Yang Bryan Lim, Jer Shyuan Ng et al. IEEE Transactions on Parallel and Distributed Systems profile →
  6. Realizing the Metaverse with Edge Intelligence: A Match Made in Heaven
    2022 161 citations Wei Yang Bryan Lim, Zehui Xiong et al. profile →
  7. Deep Learning-Powered Vessel Trajectory Prediction for Improving Smart Traffic Services in Maritime Internet of Things
    2022 158 citations Jiangtian Nie, Wei Yang Bryan Lim et al. IEEE Transactions on Network Science and Engineering 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 Yang Bryan Lim Singapore 24 2.7k 1.7k 1.2k 774 599 67 4.6k
Liusheng Huang China 38 2.4k 0.9× 2.7k 1.6× 1.6k 1.3× 931 1.2× 134 0.2× 410 5.9k
Bing Chen China 33 1.4k 0.5× 1.4k 0.8× 1.1k 0.9× 610 0.8× 411 0.7× 258 3.7k
Edith C.‐H. Ngai Sweden 33 708 0.3× 2.5k 1.5× 1.3k 1.1× 899 1.2× 404 0.7× 173 4.4k
Ju Ren China 55 2.9k 1.1× 4.8k 2.9× 2.7k 2.2× 2.4k 3.1× 464 0.8× 242 9.0k
Xinwen Fu United States 33 1.7k 0.7× 1.8k 1.1× 760 0.6× 988 1.3× 168 0.3× 182 3.6k
Linghe Kong China 40 832 0.3× 2.6k 1.5× 3.0k 2.5× 1.0k 1.3× 496 0.8× 258 6.0k
Aiman Erbad Qatar 35 1.4k 0.5× 2.8k 1.6× 867 0.7× 1.4k 1.9× 494 0.8× 234 4.7k
Qingqi Pei China 37 1.6k 0.6× 2.2k 1.3× 1.8k 1.5× 1.2k 1.6× 425 0.7× 219 5.0k
Richard Han United States 39 887 0.3× 4.3k 2.5× 1.6k 1.4× 688 0.9× 385 0.6× 145 6.0k
Seng W. Loke Australia 29 717 0.3× 2.4k 1.4× 830 0.7× 1.5k 1.9× 213 0.4× 301 4.0k

Countries citing papers authored by Wei Yang Bryan Lim

Since Specialization
Citations

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

Fields of papers citing papers by Wei Yang Bryan Lim

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Wei Yang Bryan Lim

This figure shows the co-authorship network connecting the top 25 collaborators of Wei Yang Bryan Lim. A scholar is included among the top collaborators of Wei Yang Bryan Lim 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 Yang Bryan Lim. Wei Yang Bryan Lim 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.
Ng, Wei Chong, Hongyang Du, Wei Yang Bryan Lim, et al.. (2024). Stochastic Resource Allocation for Semantic Communication-Aided Virtual Transportation Networks in the Metaverse. The HKU Scholars Hub (University of Hong Kong). 1–6. 7 indexed citations
2.
3.
Liew, Zi Qin, Minrui Xu, Wei Yang Bryan Lim, et al.. (2023). Mechanism Design for Semantic Communication in UAV-Assisted Metaverse: A Combinatorial Auction Approach. IEEE Transactions on Vehicular Technology. 73(2). 2236–2251. 9 indexed citations
4.
Ng, Wei Chong, Wei Yang Bryan Lim, Zehui Xiong, et al.. (2023). Distributionally Robust Cost Minimized Edge Semantic Intelligence in the Sustainable Metaverse. IEEE Transactions on Mobile Computing. 23(7). 7910–7926. 1 indexed citations
5.
Kaewpuang, Rakpong, Minrui Xu, Wei Yang Bryan Lim, et al.. (2023). Cooperative Resource Management in Quantum Key Distribution (QKD) Networks for Semantic Communication. IEEE Internet of Things Journal. 11(3). 4454–4469. 16 indexed citations
6.
Liew, Zi Qin, Hongyang Du, Wei Yang Bryan Lim, et al.. (2023). Economics of Semantic Communication System: An Auction Approach. IEEE Transactions on Vehicular Technology. 72(10). 13559–13574. 10 indexed citations
7.
Lim, Wei Yang Bryan, Wei Chong Ng, Zehui Xiong, et al.. (2023). Toward Green Metaverse Networking: Technologies, Advancements, and Future Directions. IEEE Network. 37(5). 223–232. 44 indexed citations
8.
Ng, Wei Chong, Wei Yang Bryan Lim, Zehui Xiong, et al.. (2023). Stochastic Resource Optimization for Wireless Powered Hybrid Coded Edge Computing Networks. IEEE Transactions on Mobile Computing. 23(3). 2022–2038. 12 indexed citations
9.
Xu, Minrui, Wei Chong Ng, Wei Yang Bryan Lim, et al.. (2022). A Full Dive Into Realizing the Edge-Enabled Metaverse: Visions, Enabling Technologies, and Challenges. IEEE Communications Surveys & Tutorials. 25(1). 656–700. 371 indexed citations breakdown →
10.
Ng, Wei Chong, et al.. (2022). Reputation-Aware Federated Learning Client Selection Based on Stochastic Integer Programming. IEEE Transactions on Big Data. 10(6). 953–964. 20 indexed citations
11.
Ng, Jer Shyuan, Wei Yang Bryan Lim, Zehui Xiong, et al.. (2021). A Hierarchical Incentive Design Toward Motivating Participation in Coded Federated Learning. IEEE Journal on Selected Areas in Communications. 40(1). 359–375. 37 indexed citations
12.
Ng, Jer Shyuan, Wei Yang Bryan Lim, Nguyen Cong Luong, et al.. (2021). A Comprehensive Survey on Coded Distributed Computing: Fundamentals, Challenges, and Networking Applications. IEEE Communications Surveys & Tutorials. 23(3). 1800–1837. 67 indexed citations
13.
Lim, Wei Yang Bryan, Jianqiang Huang, Zehui Xiong, et al.. (2021). Towards Federated Learning in UAV-Enabled Internet of Vehicles: A Multi-Dimensional Contract-Matching Approach. IEEE Transactions on Intelligent Transportation Systems. 22(8). 5140–5154. 238 indexed citations breakdown →
14.
Lim, Wei Yang Bryan, Jer Shyuan Ng, Zehui Xiong, et al.. (2021). Decentralized Edge Intelligence: A Dynamic Resource Allocation Framework for Hierarchical Federated Learning. IEEE Transactions on Parallel and Distributed Systems. 33(3). 536–550. 207 indexed citations breakdown →
15.
Lim, Wei Yang Bryan, et al.. (2021). A Double Auction Mechanism for Resource Allocation in Coded Vehicular Edge Computing. IEEE Transactions on Vehicular Technology. 71(2). 1832–1845. 28 indexed citations
16.
Lim, Wei Yang Bryan, Sahil Garg, Zehui Xiong, et al.. (2020). Dynamic Contract Design for Federated Learning in Smart Healthcare Applications. IEEE Internet of Things Journal. 8(23). 16853–16862. 76 indexed citations
17.
Ng, Jer Shyuan, Wei Yang Bryan Lim, Hong‐Ning Dai, et al.. (2020). Joint Auction-Coalition Formation Framework for Communication-Efficient Federated Learning in UAV-Enabled Internet of Vehicles. IEEE Transactions on Intelligent Transportation Systems. 22(4). 2326–2344. 111 indexed citations
18.
Lim, Wei Yang Bryan, Zehui Xiong, Jiawen Kang, et al.. (2020). When Information Freshness Meets Service Latency in Federated Learning: A Task-Aware Incentive Scheme for Smart Industries. IEEE Transactions on Industrial Informatics. 18(1). 457–466. 65 indexed citations
19.
Huang, Xumin, Sahil Garg, Jiangtian Nie, et al.. (2020). Toward Efficient Data Trading in AI Enabled Reconfigurable Wireless Sensor Network Using Contract and Game Theories. IEEE Transactions on Network Science and Engineering. 9(1). 98–108. 14 indexed citations
20.
Lim, Wei Yang Bryan, Zehui Xiong, Chunyan Miao, et al.. (2020). Hierarchical Incentive Mechanism Design for Federated Machine Learning in Mobile Networks. IEEE Internet of Things Journal. 7(10). 9575–9588. 165 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.

Explore authors with similar magnitude of impact

Breakdown of academic impact, for papers by Liusheng Huang Breakdown of academic impact, for papers by Bing Chen Breakdown of academic impact, for papers by Edith C.‐H. Ngai Breakdown of academic impact, for papers by Ju Ren Breakdown of academic impact, for papers by Xinwen Fu Breakdown of academic impact, for papers by Linghe Kong Breakdown of academic impact, for papers by Aiman Erbad Breakdown of academic impact, for papers by Qingqi Pei Breakdown of academic impact, for papers by Richard Han Breakdown of academic impact, for papers by Seng W. Loke
Rankless by CCL
2026