Jing Bi

5.3k total citations · 1 hit paper
190 papers, 3.8k citations indexed

About

Jing Bi is a scholar working on Computer Networks and Communications, Information Systems and Artificial Intelligence. According to data from OpenAlex, Jing Bi has authored 190 papers receiving a total of 3.8k indexed citations (citations by other indexed papers that have themselves been cited), including 86 papers in Computer Networks and Communications, 68 papers in Information Systems and 56 papers in Artificial Intelligence. Recurrent topics in Jing Bi's work include IoT and Edge/Fog Computing (63 papers), Cloud Computing and Resource Management (55 papers) and Water Quality Monitoring Technologies (26 papers). Jing Bi is often cited by papers focused on IoT and Edge/Fog Computing (63 papers), Cloud Computing and Resource Management (55 papers) and Water Quality Monitoring Technologies (26 papers). Jing Bi collaborates with scholars based in China, United States and Saudi Arabia. Jing Bi's co-authors include Haitao Yuan, MengChu Zhou, Jia Zhang, Junfei Qiao, Wei Tan, Gongming Wang, Bo Li, Abdullah Abusorrah, Qing‐Shan Jia and Jianqiang Li and has published in prestigious journals such as Journal of Power Sources, Expert Systems with Applications and IEEE Access.

In The Last Decade

Jing Bi

171 papers receiving 3.7k citations

Hit Papers

Energy-Optimized Partial ... 2020 2026 2022 2024 2020 50 100 150 200 250

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Jing Bi 1.6k 1.3k 907 518 444 190 3.8k
Haitao Yuan 1.6k 1.0× 1.2k 0.9× 643 0.7× 537 1.0× 281 0.6× 133 3.1k
Osamah Ibrahim Khalaf 1.7k 1.1× 941 0.7× 873 1.0× 974 1.9× 168 0.4× 151 4.4k
Ashutosh Sharma 928 0.6× 894 0.7× 763 0.8× 585 1.1× 227 0.5× 134 3.5k
Reza Malekian 1.4k 0.9× 384 0.3× 519 0.6× 1.2k 2.3× 1.1k 2.5× 198 5.3k
Qingqi Pei 2.2k 1.4× 1.2k 0.9× 1.6k 1.7× 1.8k 3.4× 344 0.8× 219 5.0k
Meiqin Liu 1.3k 0.8× 533 0.4× 944 1.0× 1.2k 2.2× 1.3k 3.0× 312 4.6k
Deze Zeng 3.5k 2.2× 1.6k 1.2× 1.2k 1.4× 1.8k 3.5× 418 0.9× 199 5.4k
Pradeep Kumar Singh 1.1k 0.7× 759 0.6× 722 0.8× 522 1.0× 177 0.4× 171 3.3k
Fu Xiao 2.0k 1.3× 987 0.8× 1.5k 1.6× 2.1k 4.1× 258 0.6× 341 5.5k
Syed Hassan Ahmed 3.8k 2.4× 820 0.6× 764 0.8× 2.3k 4.5× 357 0.8× 209 5.8k

Countries citing papers authored by Jing Bi

Since Specialization
Citations

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

Fields of papers citing papers by Jing Bi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jing Bi

This figure shows the co-authorship network connecting the top 25 collaborators of Jing Bi. A scholar is included among the top collaborators of Jing Bi 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 Jing Bi. Jing Bi 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.
Nguyen, Nguyen, et al.. (2024). OSCaR: Object State Captioning and State Change Representation. PubMed. 2024. 3565–3576. 4 indexed citations
2.
Wang, Gongming, et al.. (2024). Predicting Water Quality With Nonstationarity: Event-Triggered Deep Fuzzy Neural Network. IEEE Transactions on Fuzzy Systems. 32(5). 2690–2699. 4 indexed citations
3.
Bi, Jing, et al.. (2024). Network Anomaly Detection With Stacked Sparse Shrink Variational Autoencoders and Unbalanced XGBoost. IEEE Transactions on Sustainable Computing. 10(1). 28–38. 4 indexed citations
4.
Qiao, Junfei, et al.. (2024). Attention-Based Spatiotemporal Graph Fusion Convolution Networks for Water Quality Prediction. IEEE Transactions on Automation Science and Engineering. 22. 1–10. 20 indexed citations
5.
Yuan, Haitao, Qinglong Hu, Jing Bi, et al.. (2024). Machine-Level Collaborative Manufacturing and Scheduling for Heterogeneous Plants. IEEE Internet of Things Journal. 11(9). 16591–16603. 12 indexed citations
6.
Yuan, Haitao, et al.. (2024). Hybrid and Spatiotemporal Detection of Cyberattack Network Traffic in Cloud Data Centers. IEEE Internet of Things Journal. 11(10). 18035–18046. 10 indexed citations
7.
Bi, Jing, et al.. (2024). ARIMA-Based and Multiapplication Workload Prediction With Wavelet Decomposition and Savitzky–Golay Filter in Clouds. IEEE Transactions on Systems Man and Cybernetics Systems. 54(4). 2495–2506. 13 indexed citations
8.
Bi, Jing, et al.. (2023). Accurate water quality prediction with attention-based bidirectional LSTM and encoder–decoder. Expert Systems with Applications. 238. 121807–121807. 41 indexed citations
9.
Bi, Jing, et al.. (2023). Improved network intrusion classification with attention-assisted bidirectional LSTM and optimized sparse contractive autoencoders. Expert Systems with Applications. 244. 122966–122966. 16 indexed citations
10.
Bi, Jing, Luyao Zhang, Haitao Yuan, & Jia Zhang. (2023). Multi-indicator water quality prediction with attention-assisted bidirectional LSTM and encoder-decoder. Information Sciences. 625. 65–80. 57 indexed citations
11.
Yuan, Haitao, et al.. (2023). Hybrid network attack prediction with Savitzky–Golay filter-assisted informer. Expert Systems with Applications. 235. 121126–121126. 14 indexed citations
12.
Bi, Jing, et al.. (2022). Energy-Minimized Partial Computation Offloading for Delay-Sensitive Applications in Heterogeneous Edge Networks. IEEE Transactions on Emerging Topics in Computing. 10(4). 1941–1954. 45 indexed citations
13.
Yuan, Haitao, Jing Bi, Jia Zhang, & MengChu Zhou. (2021). Energy Consumption and Performance Optimized Task Scheduling in Distributed Data Centers. IEEE Transactions on Systems Man and Cybernetics Systems. 52(9). 5506–5517. 31 indexed citations
14.
Yuan, Haitao, Jing Bi, & MengChu Zhou. (2020). Geography-Aware Task Scheduling for Profit Maximization in Distributed Green Data Centers. IEEE Transactions on Cloud Computing. 10(3). 1864–1874. 29 indexed citations
15.
Yuan, Haitao, Jing Bi, & MengChu Zhou. (2020). Energy-Efficient and QoS-Optimized Adaptive Task Scheduling and Management in Clouds. IEEE Transactions on Automation Science and Engineering. 19(2). 1233–1244. 35 indexed citations
16.
Yuan, Haitao, Jing Bi, & MengChu Zhou. (2019). Multiqueue Scheduling of Heterogeneous Tasks With Bounded Response Time in Hybrid Green IaaS Clouds. IEEE Transactions on Industrial Informatics. 15(10). 5404–5412. 56 indexed citations
17.
Bi, Jing, Haitao Yuan, MengChu Zhou, & Qing Liu. (2019). Time-Dependent Cloud Workload Forecasting via Multi-Task Learning. IEEE Robotics and Automation Letters. 4(3). 2401–2406. 37 indexed citations
18.
Bi, Jing, Haitao Yuan, Libo Zhang, & Jia Zhang. (2018). SGW-SCN: An integrated machine learning approach for workload forecasting in geo-distributed cloud data centers. Information Sciences. 481. 57–68. 57 indexed citations
19.
Yuan, Haitao, Jing Bi, MengChu Zhou, & Ahmed Chiheb Ammari. (2017). Time-Aware Multi-Application Task Scheduling With Guaranteed Delay Constraints in Green Data Center. IEEE Transactions on Automation Science and Engineering. 15(3). 1138–1151. 65 indexed citations
20.
Yuan, Haitao, Jing Bi, MengChu Zhou, & Khaled Sedraoui. (2017). WARM: Workload-Aware Multi-Application Task Scheduling for Revenue Maximization in SDN-Based Cloud Data Center. IEEE Access. 6. 645–657. 26 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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