Bing Lu

2.3k total citations · 1 hit paper
59 papers, 1.8k citations indexed

About

Bing Lu is a scholar working on Electrical and Electronic Engineering, Control and Systems Engineering and Automotive Engineering. According to data from OpenAlex, Bing Lu has authored 59 papers receiving a total of 1.8k indexed citations (citations by other indexed papers that have themselves been cited), including 48 papers in Electrical and Electronic Engineering, 13 papers in Control and Systems Engineering and 8 papers in Automotive Engineering. Recurrent topics in Bing Lu's work include Advanced DC-DC Converters (24 papers), Silicon Carbide Semiconductor Technologies (18 papers) and Multilevel Inverters and Converters (13 papers). Bing Lu is often cited by papers focused on Advanced DC-DC Converters (24 papers), Silicon Carbide Semiconductor Technologies (18 papers) and Multilevel Inverters and Converters (13 papers). Bing Lu collaborates with scholars based in United States, China and Canada. Bing Lu's co-authors include F.C. Lee, J.D. van Wyk, Yan Liang, Fred C. Lee, Dianbo Fu, Ming Xu, Zhenxian Liang, Wenbin Dong, J.D. vanWyk and Dongpu Cao and has published in prestigious journals such as IEEE Transactions on Power Electronics, IEEE Access and Energy.

In The Last Decade

Bing Lu

57 papers receiving 1.7k citations

Hit Papers

Optimal Design Methodlogy for LLC Resonant Converter 2006 2026 2012 2019 2006 100 200 300 400 500

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Bing Lu United States 22 1.6k 384 331 194 74 59 1.8k
Chang‐Hua Lin Taiwan 21 1.1k 0.7× 391 1.0× 205 0.6× 178 0.9× 43 0.6× 153 1.3k
Tianfu Sun China 21 1.1k 0.7× 134 0.3× 405 1.2× 147 0.8× 37 0.5× 59 1.3k
Cungang Hu China 20 1.2k 0.8× 404 1.1× 579 1.7× 61 0.3× 15 0.2× 157 1.4k
Zhongyi Quan Canada 19 1.2k 0.8× 645 1.7× 566 1.7× 207 1.1× 16 0.2× 51 1.5k
A. Raciti Italy 25 2.0k 1.3× 227 0.6× 368 1.1× 219 1.1× 13 0.2× 144 2.2k
Hao Ma China 27 2.5k 1.6× 462 1.2× 1.1k 3.3× 183 0.9× 47 0.6× 202 2.8k
Fujio Kurokawa Japan 17 2.0k 1.3× 577 1.5× 494 1.5× 188 1.0× 89 1.2× 321 2.2k
Xuefeng Hu China 16 1.1k 0.7× 424 1.1× 205 0.6× 82 0.4× 173 2.3× 50 1.4k
Chunyan Lai Canada 32 2.4k 1.5× 200 0.5× 1.1k 3.3× 311 1.6× 11 0.1× 114 2.7k
Jiande Wu China 24 1.7k 1.1× 375 1.0× 448 1.4× 148 0.8× 10 0.1× 86 1.9k

Countries citing papers authored by Bing Lu

Since Specialization
Citations

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

Fields of papers citing papers by Bing Lu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Bing Lu

This figure shows the co-authorship network connecting the top 25 collaborators of Bing Lu. A scholar is included among the top collaborators of Bing Lu 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 Lu. Bing Lu 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.
Huo, Weiwei, Y.-R. Chang, T. Luo, et al.. (2025). Integrating particle swarm optimization with convolutional and long short-term memory neural networks for real vehicle data-based lithium-ion battery health estimation. Journal of Energy Storage. 111. 115427–115427. 11 indexed citations
2.
Chu, Wenbo, Guofa Li, Bing Lu, et al.. (2024). AFOcc: Multimodal Semantic Occupancy Prediction With Accurate Fusion. IEEE Sensors Journal. 24(20). 33705–33714.
3.
Sun, Chao, et al.. (2024). VMC-LIO: Incorporating Vehicle Motion Characteristics in LiDAR Inertial Odometry. IEEE Transactions on Vehicular Technology. 73(9). 12315–12327. 1 indexed citations
4.
Li, Guofa, Xin Chen, Wenbo Chu, et al.. (2023). Pedestrian Tracking Based on Receptive Field Improvement: A One-Shot Multiobject Tracking Approach Based on Vision Sensors. IEEE Sensors Journal. 23(16). 18893–18907. 8 indexed citations
5.
Sun, Chao, et al.. (2022). Interactive Left-Turning of Autonomous Vehicles at Uncontrolled Intersections. IEEE Transactions on Automation Science and Engineering. 21(1). 204–214. 20 indexed citations
6.
Das, Himadry Shekhar, et al.. (2022). Virtual Dynamic Grid Impedance and Its Impacts on Harmonics and Stability of Inverter Based Resources Plant. IEEE Transactions on Power Electronics. 37(12). 15469–15481. 5 indexed citations
7.
Li, Shuhui, et al.. (2022). An Iterative Optimization and Learning-Based IoT System for Energy Management of Connected Buildings. IEEE Internet of Things Journal. 9(21). 21246–21259. 27 indexed citations
8.
Lu, Bing, Xiwen Chen, Jun Zhang, Xu Wang, & Can Ding. (2021). Design of wide-range current transformer based on improved zero magnetic flux and turns compensation. 2021 6th Asia Conference on Power and Electrical Engineering (ACPEE). 1267–1271. 2 indexed citations
9.
He, Hongwen, et al.. (2021). Online Active Set-Based Longitudinal and Lateral Model Predictive Tracking Control of Electric Autonomous Driving. Applied Sciences. 11(19). 9259–9259. 3 indexed citations
10.
Li, Shuhui, et al.. (2020). Energy management and demand response with intelligent learning for multi-thermal-zone buildings. Energy. 210. 118411–118411. 34 indexed citations
11.
Lu, Bing, Xu Wang, Xing Chen, & Can Ding. (2019). Experiment and Simulation of the Accuracy of Current Transformer with a New Core Material. 1–4. 5 indexed citations
12.
Song, Shengli, et al.. (2011). A Novel PSO Algorithm Model Based on Population Migration Strategy and its Application. Journal of Computers. 6(2). 6 indexed citations
13.
Lu, Bing, Ding‐Zhu Du, & Sachin S. Sapatnekar. (2010). Layout Optimization in Vlsi Design. 1 indexed citations
14.
Lu, Bing. (2008). A novel control method for interleaved transition mode PFC. Conference proceedings/Conference proceedings - IEEE Applied Power Electronics Conference and Exposition. 697–701. 38 indexed citations
15.
Wang, Chuanyun, Ming Xu, Bing Lu, & Fred C. Lee. (2007). New Architecture for MHz Switching Frequency PFC. Conference proceedings/Conference proceedings - IEEE Applied Power Electronics Conference and Exposition. 179–185. 20 indexed citations
16.
Lu, Bing, et al.. (2006). Optimal Design Methodlogy for LLC Resonant Converter. 533–538. 526 indexed citations breakdown →
17.
Lee, Fred C., Ming Xu, Shuo Wang, & Bing Lu. (2006). Design Challenges For Distributed Power Systems. 20. 1–15. 34 indexed citations
18.
Lu, Bing, Yang Qiu, Chuanyun Wang, et al.. (2005). A high power density high voltage distributed power system for pulse power applications. Twentieth Annual IEEE Applied Power Electronics Conference and Exposition, 2005. APEC 2005.. 1. 210–216. 8 indexed citations
19.
Lee, F.C., et al.. (2004). An integrated power electronics modular approach: concept and implementation. International Power Electronics and Motion Control Conference. 1. 1–13. 27 indexed citations
20.
Lu, Bing, et al.. (2004). Novel current-loop feed-forward compensation for boost PFC converter. 2. 750–755. 10 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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