Jun Bi

1.1k citations
39 papers · 830 · h-index 17

Impact in

Papers in

Jun Bi

35 papers receiving 811 citations

Peers

Jun Bi
Comparison fields: 5 of 66
  • Automotive Engineering 643
  • Industrial and Manufacturing Engineering 152
  • Electrical and Electronic Engineering 525
  • Transportation 60
  • Safety, Risk, Reliability and Quality 55
Replace Zhaocai Liu with:
Zhaocai Liu United States
Cedric De Cauwer Belgium
Jari Vepsäläinen Finland
Dawei Hu China
Jiaxin Chen China
Xue Han China
Jiangchen Li China
Baozhen Yao China
Yadan Yan China
Zonggen Yi United States
Jun Bi relative to Zhaocai Liu United States Zhaocai Liu's profile →
Citations per field
00.5×1.5×2.3×
Zhaocai Liu · 1×
Citations per year

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-authors

The 25 scholars most cited alongside Jun Bi, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Jun Bi Line = papers co-authored together Jun Bi links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 39 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2016155
2 2017102
3 2018100
4 201760
5 201749
6 201840
7 202035
8 202030
9 201429
10 201823
11 201821
12 202018
13 202118
14 202117
15 201816
16 201216
17 202316
18 202115
19 202013
20 202112

About Jun Bi

Jun Bi is a scholar working on Automotive Engineering, Electrical and Electronic Engineering, Building and Construction, Transportation and Industrial and Manufacturing Engineering, having authored 39 papers that have together received 830 indexed citations. Recurring topics across this work include Electric Vehicles and Infrastructure (17 papers), Advanced Battery Technologies Research (14 papers), Transportation and Mobility Innovations (9 papers), Transportation Planning and Optimization (7 papers), Vehicle emissions and performance (6 papers), Traffic Prediction and Management Techniques (5 papers), Vehicle Routing Optimization Methods (4 papers) and Traffic control and management (4 papers). The work is most often cited by research in Automotive Engineering (643 citations), Industrial and Manufacturing Engineering (152 citations), Electrical and Electronic Engineering (525 citations), Transportation (60 citations) and Safety, Risk, Reliability and Quality (55 citations). Jun Bi has collaborated with scholars based in China, Norway and United States. Frequent co-authors include Yongxing Wang, Wei Guan, Haiyang Yu, Ting Zhang, Xiaomei Zhao, Chaoru Lu, Dongfan Xie, Zhengbing He, Bin Ran and Ana María Pérez Marín. Their work appears in journals such as Transportation Research Part D Transport and Environment, IET Intelligent Transport Systems, Journal of Advanced Transportation, Energies and Travel Behaviour and Society.

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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