Mingfeng Shang

24 papers receiving 331 citations

Peers

Mingfeng Shang
Comparison fields: 5 of 46
  • Transportation 113
  • Automotive Engineering 175
  • Control and Systems Engineering 224
  • Modeling and Simulation 30
  • Building and Construction 76
Replace David Fajardo with:
David Fajardo Australia
Chuan Tian China
Mohammad Noaeen Canada
Behdad Chalaki United States
Björn Schünemann Germany
Hui Deng China
Logan E. Beaver United States
Xiaomin Zhao China
Hao Fu China
Mingfeng Shang relative to David Fajardo Australia David Fajardo's profile →
Citations per field
00.5×10×14×
David Fajardo · 1×
Citations per year

Countries citing papers authored by Mingfeng Shang

Since Specialization
Citations

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

Fields of papers citing papers by Mingfeng Shang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 8 scholars most cited alongside Mingfeng Shang, 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 Mingfeng Shang Line = papers co-authored together Mingfeng Shang links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 24 papers — load more, or switch the sort, to bring in the rest.

#Work
1 202085
2 202246
3 202244
4 202324
5 202120
6 202220
7 202313
8 202112
9 20208
10 20248
11 20247
12 20217
13 20246
14 20246
15 20245
16 20225
17 20244
18 20234
19 20223
20 20213

About Mingfeng Shang

Mingfeng Shang is a scholar working on Control and Systems Engineering, Automotive Engineering, Transportation, Building and Construction and Electrical and Electronic Engineering, having authored 24 papers that have together received 335 indexed citations. Recurring topics across this work include Traffic control and management (14 papers), Transportation Planning and Optimization (9 papers), Autonomous Vehicle Technology and Safety (7 papers), Traffic Prediction and Management Techniques (7 papers), Vehicular Ad Hoc Networks (VANETs) (5 papers), COVID-19 epidemiological studies (3 papers), Traffic and Road Safety (3 papers) and SARS-CoV-2 and COVID-19 Research (3 papers). The work is most often cited by research in Transportation (113 citations), Automotive Engineering (175 citations), Control and Systems Engineering (224 citations), Modeling and Simulation (30 citations) and Building and Construction (76 citations). Mingfeng Shang has collaborated with scholars based in United States, Germany and Sweden. Frequent co-authors include Raphael Stern, Shian Wang, Michael W. Levin, Tianyi Li, Philip E. Paré, Xingan Kan, Seongjin Choi and Florian Hauer. Their work appears in journals such as Transportation Research Part C Emerging Technologies, IEEE Transactions on Intelligent Transportation Systems, IEEE Transactions on Intelligent Vehicles, PLoS ONE and IEEE Control Systems Letters.

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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