Mofeng Yang

1.0k citations
20 papers · 652 · h-index 11

Impact in

    • COVID-19 epidemiological studies
    • Human Mobility and Location-Based Analysis
    • Urban Transport and Accessibility
    • Transportation Planning and Optimization

Papers in

    • Human Mobility and Location-Based Analysis 9
    • Urban Transport and Accessibility 7
    • Transportation Planning and Optimization 6
    • Traffic Prediction and Management Techniques 7

Mofeng Yang

20 papers receiving 646 citations

Peers

Mofeng Yang
Comparison fields: 5 of 76
  • Modeling and Simulation 286
  • Transportation 305
  • Building and Construction 90
  • Health 37
  • Global and Planetary Change 85
Replace Yunlei Liang with:
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Manu Sasidharan United Kingdom
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Mofeng Yang relative to Yunlei Liang United States Yunlei Liang's profile →
Citations per field
00.5×1.5×
Yunlei Liang · 1×
Citations per year

Countries citing papers authored by Mofeng Yang

Since Specialization
Citations

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

Fields of papers citing papers by Mofeng Yang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Mofeng Yang, 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 Mofeng Yang Line = papers co-authored together Mofeng Yang links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 2020236
2 2021135
3 202155
4 202046
5 202138
6 202127
7
A Deep Reinforcement Learning-based Ramp Metering Control Framework for Improving Traffic Operation at Freeway Weaving Sections
201917
8 202015
9 202212
10 202310
11 202110
12 20228
13 20227
14 20187
15 20187
16 20236
17 20216
18 20205
19 20214
20 20231

About Mofeng Yang

Mofeng Yang is a scholar working on Transportation, Building and Construction, Modeling and Simulation, Control and Systems Engineering and Epidemiology, having authored 20 papers that have together received 652 indexed citations. Recurring topics across this work include Human Mobility and Location-Based Analysis (9 papers), COVID-19 epidemiological studies (7 papers), Traffic Prediction and Management Techniques (7 papers), Urban Transport and Accessibility (7 papers), Transportation Planning and Optimization (6 papers), Traffic control and management (5 papers), Data-Driven Disease Surveillance (4 papers) and Traffic and Road Safety (3 papers). The work is most often cited by research in Modeling and Simulation (286 citations), Transportation (305 citations), Building and Construction (90 citations), Health (37 citations) and Global and Planetary Change (85 citations). Mofeng Yang has collaborated with scholars based in United States, China and Macao. Frequent co-authors include Songhua Hu, Lei Zhang, Weiyu Luo, Chenfeng Xiong, Hannah Younes, Chenfeng Xiong, Aref Darzi, Sepehr Ghader, Qianqian Sun and Yixuan Pan. Their work appears in journals such as Journal of Advanced Transportation, Transportation Research Part C Emerging Technologies, Sustainable Cities and Society, Journal of The Royal Society Interface and Proceedings of the National Academy of Sciences.

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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