Bao‐Lin Ye

458 total citations
31 papers, 307 citations indexed

About

Bao‐Lin Ye is a scholar working on Control and Systems Engineering, Transportation and Building and Construction. According to data from OpenAlex, Bao‐Lin Ye has authored 31 papers receiving a total of 307 indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Control and Systems Engineering, 11 papers in Transportation and 10 papers in Building and Construction. Recurrent topics in Bao‐Lin Ye's work include Traffic control and management (16 papers), Transportation Planning and Optimization (11 papers) and Traffic Prediction and Management Techniques (10 papers). Bao‐Lin Ye is often cited by papers focused on Traffic control and management (16 papers), Transportation Planning and Optimization (11 papers) and Traffic Prediction and Management Techniques (10 papers). Bao‐Lin Ye collaborates with scholars based in China, United States and Australia. Bao‐Lin Ye's co-authors include Weimin Wu, Weijie Mao, Lingxi Li, Tehuan Chen, Yaobin Chen, Shuai Wang, Zhaosheng Zhang, Chunyuan Liu, Lijun Zhu and Qianqian Cao and has published in prestigious journals such as SHILAP Revista de lepidopterología, Energy and Renewable Energy.

In The Last Decade

Bao‐Lin Ye

26 papers receiving 301 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Bao‐Lin Ye China 10 220 140 132 80 58 31 307
Yit Kwong Chin Malaysia 9 173 0.8× 137 1.0× 119 0.9× 39 0.5× 65 1.1× 20 288
Handong Yao United States 10 337 1.5× 124 0.9× 163 1.2× 297 3.7× 55 0.9× 22 451
Haotian Shi United States 10 325 1.5× 142 1.0× 106 0.8× 287 3.6× 42 0.7× 30 447
Mengchi Cai China 12 229 1.0× 53 0.4× 62 0.5× 169 2.1× 55 0.9× 19 319
Marco Di Vaio Italy 4 161 0.7× 40 0.3× 85 0.6× 134 1.7× 51 0.9× 7 309
Roman Schmied Austria 9 355 1.6× 57 0.4× 78 0.6× 401 5.0× 128 2.2× 20 497
Linguo Chai China 9 179 0.8× 91 0.7× 84 0.6× 146 1.8× 35 0.6× 42 265
Luis Leon Ojeda France 6 300 1.4× 100 0.7× 147 1.1× 397 5.0× 175 3.0× 7 529
Huaxin Pei China 10 208 0.9× 63 0.5× 85 0.6× 203 2.5× 50 0.9× 20 311

Countries citing papers authored by Bao‐Lin Ye

Since Specialization
Citations

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

Fields of papers citing papers by Bao‐Lin Ye

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Bao‐Lin Ye

This figure shows the co-authorship network connecting the top 25 collaborators of Bao‐Lin Ye. A scholar is included among the top collaborators of Bao‐Lin Ye 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 Bao‐Lin Ye. Bao‐Lin Ye 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.
Ye, Bao‐Lin, et al.. (2025). Deep Reinforcement Learning Based on Spatiotemporal Information for Network-Wide Traffic Signal Coordination Control. IEEE Open Journal of Intelligent Transportation Systems. 6. 1424–1438.
2.
Ye, Bao‐Lin, et al.. (2025). A Trajectory Planning and Tracking Method Based on Deep Hierarchical Reinforcement Learning. SHILAP Revista de lepidopterología. 8(2). 9210056–1.
3.
Liu, Chunyuan, et al.. (2025). Multi-level design optimization of cylindrical linear permanent magnet synchronous generator for wave energy conversion. Electric Power Systems Research. 247. 111764–111764.
4.
Ye, Bao‐Lin, et al.. (2025). Accurate Prediction of Energy Consumption of Electric Buses Based on Traffic Condition, Vehicle Status, Driving Behavior, and Environmental Condition. IEEE Transactions on Transportation Electrification. 11(4). 9778–9792.
5.
Zhang, Zhaosheng, et al.. (2024). A feature prediction-based method for energy consumption prediction of electric buses. Energy. 314. 134345–134345. 5 indexed citations
6.
Ye, Bao‐Lin, et al.. (2024). A Space Telescope Scheduling Approach Combining Observation Priority Coding with Problem Decomposition Strategies. Biomimetics. 9(12). 718–718. 1 indexed citations
7.
Ye, Bao‐Lin, Peng Wu, Lingxi Li, & Weimin Wu. (2024). Uniformity of markov elements in deep reinforcement learning for traffic signal control. Electronic Research Archive. 32(6). 3843–3866.
8.
Ye, Bao‐Lin, Shuang‐Nan Zhang, Lingxi Li, Chunyuan Liu, & Weimin Wu. (2024). A Survey of Traffic Flow Prediction Methods Based on Long Short-Term Memory Networks. IEEE Intelligent Transportation Systems Magazine. 16(5). 87–112. 13 indexed citations
9.
Ye, Bao‐Lin, et al.. (2024). State-of-Health Estimation of Lithium-Ion Battery Based on Interval Capacity for Electric Buses. IEEE Transactions on Transportation Electrification. 11(2). 6096–6106. 1 indexed citations
10.
Ye, Bao‐Lin, et al.. (2024). Short-term traffic flow prediction at isolated intersections based on parallel multi-task learning. Systems Science & Control Engineering. 12(1). 4 indexed citations
11.
Liu, Chunyuan, et al.. (2023). Optimization design of Tubular Permanent Magnet Linear Generator based on entropy model for wave energy conversion. Renewable Energy. 216. 119087–119087. 1 indexed citations
12.
Zhang, Zhaosheng, et al.. (2023). Analysis and estimation of energy consumption of electric buses using real-world data. Transportation Research Part D Transport and Environment. 126. 104017–104017. 19 indexed citations
13.
Ye, Bao‐Lin, et al.. (2023). A Comparison Study of Kinematic and Dynamic Models for Trajectory Tracking of Autonomous Vehicles Using Model Predictive Control. International Journal of Control Automation and Systems. 21(9). 3006–3021. 12 indexed citations
14.
Lei, Lei, Yinglong He, Pan Wang, et al.. (2023). Dictionary learning LASSO for feature selection with application to hepatocellular carcinoma grading using contrast enhanced magnetic resonance imaging. Frontiers in Oncology. 13. 1123493–1123493. 4 indexed citations
15.
Liu, Chunyuan, et al.. (2022). Optimization Design of Tubular Permanent Magnet Linear Generator Based on Entropy Model for Wave Energy Conversion. SSRN Electronic Journal. 1 indexed citations
16.
Xie, Sheng, Guojun Jiang, Bao‐Lin Ye, & Baoqing Shentu. (2020). Particle Image Velocimetry (PIV) Investigation of the Turbulent Airflow in Slot-Die Melt Blowing. Polymers. 12(2). 279–279. 12 indexed citations
17.
Ye, Bao‐Lin, et al.. (2019). A survey of model predictive control methods for traffic signal control. IEEE/CAA Journal of Automatica Sinica. 6(3). 623–640. 78 indexed citations
18.
Ye, Bao‐Lin, Weimin Wu, Lingxi Li, & Weijie Mao. (2016). A Hierarchical Model Predictive Control Approach for Signal Splits Optimization in Large-Scale Urban Road Networks. IEEE Transactions on Intelligent Transportation Systems. 17(8). 2182–2192. 35 indexed citations
19.
Ye, Bao‐Lin, Weimin Wu, & Weijie Mao. (2014). Distributed Model Predictive Control Method for Optimal Coordination of Signal Splits in Urban Traffic Networks. Asian Journal of Control. 17(3). 775–790. 25 indexed citations
20.
Ye, Bao‐Lin, et al.. (2014). A Novel MPC with Chance Constraints for Signal Splits Control in Urban Traffic Network. IFAC Proceedings Volumes. 47(3). 11311–11317. 5 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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