Jun Bi

447 total citations
41 papers, 291 citations indexed

About

Jun Bi is a scholar working on Automotive Engineering, Transportation and Building and Construction. According to data from OpenAlex, Jun Bi has authored 41 papers receiving a total of 291 indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Automotive Engineering, 13 papers in Transportation and 12 papers in Building and Construction. Recurrent topics in Jun Bi's work include Transportation and Mobility Innovations (12 papers), Transportation Planning and Optimization (9 papers) and Sharing Economy and Platforms (8 papers). Jun Bi is often cited by papers focused on Transportation and Mobility Innovations (12 papers), Transportation Planning and Optimization (9 papers) and Sharing Economy and Platforms (8 papers). Jun Bi collaborates with scholars based in China, Norway and United States. Jun Bi's co-authors include Yongxing Wang, Jun Zhang, Ju Yang, Dongfan Xie, Xiaomei Zhao, Fujun Wang, Chaoru Lu, Xiaomei Zhao, Ziyu Li and Wei Guan and has published in prestigious journals such as Journal of Cleaner Production, Renewable Energy and IEEE Transactions on Intelligent Transportation Systems.

In The Last Decade

Jun Bi

36 papers receiving 267 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Jun Bi China	9	149	144	71	44	44	41	291
Taeho Jung United States	8	245 1.6×	165 1.1×	126 1.8×	30 0.7×	25 0.6×	21	393
Djamel Khadraoui United States	11	91 0.6×	119 0.8×	87 1.2×	123 2.8×	62 1.4×	32	323
Chiara Pielli Italy	9	89 0.6×	84 0.6×	93 1.3×	121 2.8×	63 1.4×	17	267
Emmanouil S. Rigas Greece	10	475 3.2×	401 2.8×	59 0.8×	27 0.6×	22 0.5×	30	586
Nitin Maslekar France	12	237 1.6×	149 1.0×	141 2.0×	126 2.9×	95 2.2×	15	373
Suresh Chavhan India	9	121 0.8×	89 0.6×	68 1.0×	55 1.3×	61 1.4×	22	280
Federico Rossi United States	8	94 0.6×	302 2.1×	29 0.4×	231 5.3×	62 1.4×	25	392
Kai-Fung Chu Hong Kong	10	118 0.8×	131 0.9×	23 0.3×	161 3.7×	169 3.8×	29	383
Sherin Abdelhamid Canada	10	182 1.2×	63 0.4×	219 3.1×	31 0.7×	36 0.8×	17	354
Yanchang Liang China	8	387 2.6×	193 1.3×	15 0.2×	24 0.5×	13 0.3×	12	445

Countries citing papers authored by Jun Bi

Since Specialization

Citations

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

Fields of papers citing papers by Jun Bi

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jun Bi

This figure shows the co-authorship network connecting the top 25 collaborators of Jun Bi. A scholar is included among the top collaborators of Jun 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 Jun Bi. Jun Bi is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

Hu, Bin, Wenhui Zhang, Qingyang Zhang, et al.. (2024). A prediction approach to COVID-19 time series with LSTM integrated attention mechanism and transfer learning. BMC Medical Research Methodology. 24(1). 323–323. 2 indexed citations

Bi, Jun, et al.. (2024). Driving range estimation for electric bus based on atomic orbital search and back propagation neural network. IET Intelligent Transport Systems. 18(S1). 2884–2895.

Wang, Yongxing, Feixiong Liao, Jun Bi, & Chaoru Lu. (2024). Optimal battery electric bus system planning considering heterogeneous vehicles, opportunity charging, and battery degradation. Renewable Energy. 237. 121596–121596. 4 indexed citations

Bi, Jun, et al.. (2023). Joint optimization of infrastructure deployment and fleet operations for an electric carsharing system by considering multi-type vehicles. Journal of Cleaner Production. 414. 137681–137681. 2 indexed citations

Wang, Yongxing, et al.. (2022). Lifecycle Cost Optimization for Electric Bus Systems With Different Charging Methods: Collaborative Optimization of Infrastructure Procurement and Fleet Scheduling. IEEE Transactions on Intelligent Transportation Systems. 24(3). 2842–2861. 10 indexed citations

Qiao, Yi, Menghao Zhang, Yu Zhou, et al.. (2022). NetEC: Accelerating Erasure Coding Reconstruction with In-Network Aggregation. IEEE Transactions on Parallel and Distributed Systems. 1–1. 13 indexed citations

Wang, Fujun, Jun Bi, Dongfan Xie, & Xiaomei Zhao. (2022). Flight delay forecasting and analysis of direct and indirect factors. IET Intelligent Transport Systems. 16(7). 890–907. 13 indexed citations

Bi, Jun, et al.. (2021). Behavior analysis of carsharing users based on deep belief network and improved two-stage clustering. Transportation Letters. 14(10). 1069–1079. 1 indexed citations

Bi, Jun, et al.. (2020). Capturing the Characteristics of Car-Sharing Users: Data-Driven Analysis and Prediction Based on Classification. Journal of Advanced Transportation. 2020. 1–11. 9 indexed citations

10.

Zhang, Xiaofeng, Xiaomei Zhao, Dongfan Xie, & Jun Bi. (2020). Research on Self Driving Customized Bus Lines Based on Users’ Real-Time Needs. SAE technical papers on CD-ROM/SAE technical paper series. 1.

11.

Zhang, Jun, et al.. (2019). A Machine Learning Method for Predicting Driving Range of Battery Electric Vehicles. Journal of Advanced Transportation. 2019. 1–14. 81 indexed citations

12.

Bi, Jun, et al.. (2019). Prediction of silent users of car-sharing based on Logistic Regression Model. IOP Conference Series Materials Science and Engineering. 688(3). 33024–33024. 2 indexed citations

13.

Bi, Jun, Yongxing Wang, & Xiaomei Zhao. (2017). State of Charge Estimation for Electric Vehicle Batteries Based on a Particle Filter Algorithm. DEStech Transactions on Computer Science and Engineering. 3 indexed citations

14.

Li, Ziyu, et al.. (2017). Passenger Flow Forecasting Research for Airport Terminal Based on SARIMA Time Series Model. IOP Conference Series Earth and Environmental Science. 100. 12146–12146. 8 indexed citations

15.

Contreras, Luis M., et al.. (2015). A YANG Data Model for Network Topologies. 2 indexed citations

16.

Bi, Jun, et al.. (2013). Particle Filter for Estimating Freeway Traffic State in Beijing. Mathematical Problems in Engineering. 2013. 1–6. 3 indexed citations

17.

Bi, Jun, Qiuping Xu, Kai Wang, & Dong Zhang. (2013). The State of Charge Estimation of Li-Ion Batteries in Electric Vehicle Based on RBF Neural Network Optimized by Genetic Algorithm. International Journal of Digital Content Technology and its Applications. 7(5). 366–373.

18.

Bi, Jun, et al.. (2012). PID Parameters Optimization for Liquid Level Control System Based on Genetic Algorithm. International Journal of Digital Content Technology and its Applications. 6(1). 361–368. 3 indexed citations

19.

Bi, Jun, et al.. (2008). Design for information collection and wireless transmission equipment of public electric vehicle. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 7127. 71270U–71270U.

20.

Bi, Jun, et al.. (2005). A self-adaptive ant colony algorithm for the shortest path. 144–144. 4 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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