Bing Lin

1.2k total citations
37 papers, 904 citations indexed

About

Bing Lin is a scholar working on Computer Networks and Communications, Information Systems and Information Systems and Management. According to data from OpenAlex, Bing Lin has authored 37 papers receiving a total of 904 indexed citations (citations by other indexed papers that have themselves been cited), including 29 papers in Computer Networks and Communications, 24 papers in Information Systems and 7 papers in Information Systems and Management. Recurrent topics in Bing Lin's work include Cloud Computing and Resource Management (19 papers), IoT and Edge/Fog Computing (17 papers) and Distributed and Parallel Computing Systems (8 papers). Bing Lin is often cited by papers focused on Cloud Computing and Resource Management (19 papers), IoT and Edge/Fog Computing (17 papers) and Distributed and Parallel Computing Systems (8 papers). Bing Lin collaborates with scholars based in China, United Kingdom and United States. Bing Lin's co-authors include Xing Chen, Jianshan Zhang, Naixue Xiong, Wenzhong Guo, Zheyi Chen, Geyong Min, Guolong Chen, Katinka Wolter, Jaime Lloret and Jun Li and has published in prestigious journals such as IEEE Access, Information Sciences and IEEE Transactions on Industrial Informatics.

In The Last Decade

Bing Lin

33 papers receiving 889 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Bing Lin China 12 590 408 182 134 127 37 904
Fabrizio Messina Italy 19 572 1.0× 505 1.2× 363 2.0× 77 0.6× 114 0.9× 82 1.1k
Ying Xie China 15 285 0.5× 317 0.8× 268 1.5× 157 1.2× 85 0.7× 81 977
Abdelzahir Abdelmaboud Saudi Arabia 15 352 0.6× 318 0.8× 131 0.7× 91 0.7× 81 0.6× 61 790
Inmaculada Medina‐Bulo Spain 19 371 0.6× 347 0.9× 165 0.9× 80 0.6× 90 0.7× 99 893
Wensheng Zhang United States 8 432 0.7× 524 1.3× 327 1.8× 167 1.2× 113 0.9× 23 1.0k
B. Cristina Pelayo G‐Bustelo Spain 15 214 0.4× 254 0.6× 146 0.8× 140 1.0× 102 0.8× 37 716
Yeh-Cheng Chen United States 15 185 0.3× 226 0.6× 231 1.3× 91 0.7× 107 0.8× 68 696
Sye Loong Keoh United Kingdom 14 926 1.6× 401 1.0× 281 1.5× 161 1.2× 274 2.2× 72 1.3k
Kamlesh Dutta India 16 415 0.7× 299 0.7× 233 1.3× 41 0.3× 122 1.0× 89 900
Manuel Suárez-Albela Spain 11 466 0.8× 280 0.7× 152 0.8× 147 1.1× 215 1.7× 12 855

Countries citing papers authored by Bing Lin

Since Specialization
Citations

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

Fields of papers citing papers by Bing Lin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Bing Lin

This figure shows the co-authorship network connecting the top 25 collaborators of Bing Lin. A scholar is included among the top collaborators of Bing 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 Bing Lin. Bing 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.
Xu, Huan, et al.. (2025). WALS-DA: A Refined Label Switching Framework for Directional- and Hybrid-Antennas MANETs. IEEE Internet of Things Journal. 12(16). 34607–34610.
2.
Lin, Bing, et al.. (2024). Cost-Driven Scheduling for Workflow Decision Making Systems in Fuzzy Edge-Cloud Environments. IEEE Transactions on Automation Science and Engineering. 22. 3756–3771. 3 indexed citations
3.
Lin, Bing, et al.. (2024). DQPS: An Intelligent Multi-Hop Computation Offloading Scheme for Workflow Applications in Vehicular Edge Computing Networks. IEEE Transactions on Consumer Electronics. 71(1). 2202–2216. 2 indexed citations
5.
Liang, Feng, Francis C. M. Lau, Heming Cui, et al.. (2023). RelJoin: Relative-cost-based selection of distributed join methods for query plan optimization. Information Sciences. 658. 120022–120022. 1 indexed citations
6.
Li, Ming, Jianshan Zhang, Bing Lin, & Xing Chen. (2022). MultiOff: offloading support and service deployment for multiple IoT applications in mobile edge computing. The Journal of Supercomputing. 78(13). 15123–15153. 1 indexed citations
7.
Chen, Xing, Jianshan Zhang, Bing Lin, et al.. (2021). Energy-Efficient Offloading for DNN-Based Smart IoT Systems in Cloud-Edge Environments. IEEE Transactions on Parallel and Distributed Systems. 33(3). 683–697. 167 indexed citations
8.
Chen, Xing, et al.. (2021). A Reinforcement Learning-Empowered Feedback Control System for Industrial Internet of Things. IEEE Transactions on Industrial Informatics. 18(4). 2724–2733. 45 indexed citations
9.
Lin, Bing, et al.. (2021). Computation offloading strategy based on deep reinforcement learning for connected and autonomous vehicle in vehicular edge computing. Journal of Cloud Computing Advances Systems and Applications. 10(1). 28 indexed citations
10.
Chen, Zheyi, Kai Lin, Bing Lin, et al.. (2020). Adaptive Resource Allocation and Consolidation for Scientific Workflow Scheduling in Multi-Cloud Environments. IEEE Access. 8. 190173–190183. 19 indexed citations
11.
Lin, Bing, et al.. (2019). Cost-Driven Off-Loading for DNN-Based Applications Over Cloud, Edge, and End Devices. IEEE Transactions on Industrial Informatics. 16(8). 5456–5466. 134 indexed citations
12.
Chen, Xing, et al.. (2019). Self-adaptive resource allocation for cloud-based software services based on progressive QoS prediction model. Science China Information Sciences. 62(11). 48 indexed citations
13.
Lin, Bing, et al.. (2018). Verification Method for Area Optimization of Mixed-Polarity Reed-Muller Logic Circuits. Journal of Engineering Science and Technology Review. 11(1). 28–34. 5 indexed citations
14.
Xiang, Tao, et al.. (2018). A Data Placement Strategy for Scientific Workflow in Hybrid Cloud. 556–563. 11 indexed citations
15.
Winkelmann, Andreas, Dominik Irnich, Martin Weigl, et al.. (2017). Society Bulletins • Gesellschaftsmitteilungen. Complementary Medicine Research. 24(1). 62–64.
16.
Lin, Bing, Wenzhong Guo, Guolong Chen, Naixue Xiong, & Rongrong Li. (2015). Cost-Driven Scheduling for Deadline-Constrained Workflow on Multi-clouds. 1191–1198. 23 indexed citations
17.
Lin, Bing, et al.. (2015). Online optimization scheduling for scientific workflows with deadline constraint on hybrid clouds. Concurrency and Computation Practice and Experience. 28(11). 3079–3095. 27 indexed citations
18.
Zhang, Hong, et al.. (2014). Data Replication Placement Strategy Based On Bidding Mode for Cloud Storage Cluster. 207–212. 11 indexed citations
19.
Lin, Bing & Rohit Bhatnagar. (2012). Optimal capacity booking in air cargo transportation. Journal of Revenue and Pricing Management. 12(3). 235–253. 3 indexed citations
20.
Lin, Bing, Wenzhong Guo, & Guolong Chen. (2012). Edges Immunization Strategy Based on Discrete PSO in Weighted Scale-Free Network. 186. 384–389. 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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