Jun Bi

1.0k citations
37 papers · 768 · h-index 15

Impact in

Papers in

Jun Bi

33 papers receiving 747 citations

Peers

Jun Bi
Comparison fields: 5 of 63
  • Automotive Engineering 611
  • Industrial and Manufacturing Engineering 139
  • Electrical and Electronic Engineering 503
  • Transportation 55
  • Safety, Risk, Reliability and Quality 56
Replace Zhaocai Liu with:
Zhaocai Liu United States
Cedric De Cauwer Belgium
Jiaxin Chen China
Jari Vepsäläinen Finland
Baozhen Yao China
Marco Pruckner Germany
Zonggen Yi United States
Yadan Yan China
Jiangchen Li China
Chaoru Lu Norway
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 37 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2016152
2 201794
3 201891
4 201756
5 201746
6 201839
7 202033
8 201427
9 201822
10 202022
11 201820
12 202018
13 202117
14 201216
15 201815
16 202114
17 202113
18 202313
19 202012
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 37 papers that have together received 768 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 (5 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 (611 citations), Industrial and Manufacturing Engineering (139 citations), Electrical and Electronic Engineering (503 citations), Transportation (55 citations) and Safety, Risk, Reliability and Quality (56 citations). Jun Bi has collaborated with scholars based in China, Norway and United States. Frequent co-authors include Yongxing Wang, Wei Guan, Ting Zhang, Haiyang Yu, Xiaomei Zhao, Chaoru Lu, Dongfan Xie, Zhengbing He, Bin Ran and Yang Cheng. Their work appears in journals such as Transportation Research Part D Transport and Environment, Energies, Journal of Advanced Transportation, IET Intelligent Transport Systems and Measurement.

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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