Ming Cai

3.1k citations
140 papers · 2.3k · h-index 28

Impact in

Papers in

Ming Cai

130 papers receiving 2.3k citations

Peers

Ming Cai
Comparison fields: 5 of 140
  • Speech and Hearing 649
  • Automotive Engineering 746
  • Transportation 275
  • Environmental Engineering 392
  • Health, Toxicology and Mutagenesis 338
Replace Geng Yang with:
Geng Yang China
Diego P. Ruíz Spain
Margarida C. Coelho Portugal
Gianfranco Rizzo Italy
Cláudio Guarnaccia Italy
Filippo Giammaria Praticò Italy
Antonio J. Torija United Kingdom
Ursula Eicker Canada
Feifeng Jiang Hong Kong
Taeyeon Kim South Korea
Ming Cai relative to Geng Yang China Geng Yang's profile →
Citations per field
00.5×8.6×
Geng Yang · 1×
Citations per year

Countries citing papers authored by Ming Cai

Since Specialization
Citations

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

Fields of papers citing papers by Ming Cai

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 140 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2008151
2 2010136
3 201493
4 202081
5 201879
6 202075
7 202071
8 201866
9 202160
10 202250
11 201844
12 201843
13 202143
14 202042
15 202340
16 201740
17 201138
18 201738
19 202038
20 202036

About Ming Cai

Ming Cai is a scholar working on Automotive Engineering, Speech and Hearing, Transportation, Biomedical Engineering and Building and Construction, having authored 140 papers that have together received 2.3k indexed citations. Recurring topics across this work include Noise Effects and Management (37 papers), Vehicle Noise and Vibration Control (24 papers), Acoustic Wave Phenomena Research (22 papers), Human Mobility and Location-Based Analysis (18 papers), Traffic Prediction and Management Techniques (16 papers), Vehicle emissions and performance (15 papers), Urban Transport and Accessibility (10 papers) and Air Quality and Health Impacts (9 papers). The work is most often cited by research in Speech and Hearing (649 citations), Automotive Engineering (746 citations), Transportation (275 citations), Environmental Engineering (392 citations) and Health, Toxicology and Mutagenesis (338 citations). Ming Cai has collaborated with scholars based in China, United States and United Arab Emirates. Frequent co-authors include Haibo Wang, Min Xie, Yafeng Yin, Tiefang Zou, Jingqing Gao, Xiong Chen, Jinliang Zhang, Zhanyong Wang, Wei Wang and Jingshen Zhang. Their work appears in journals such as Transportation Research Part D Transport and Environment, Forensic Science International, Applied Acoustics, Journal of Advanced Transportation and Building and Environment.

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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