Ming Yang

257 papers receiving 4.6k citations

Ming Yang's Hit Papers

Toward A Thousand Lights: Decentralized Deep Reinforcement Learning for Large-Scale Traffic Signal Control 2020 · 259 citations
2590+2+4Years since publication50100150200250

Peers

Ming Yang
Comparison fields: 5 of 167
  • Statistics, Probability and Uncertainty 2.0k
  • Radiological and Ultrasound Technology 937
  • Chemical Health and Safety 74
  • Safety, Risk, Reliability and Quality 690
  • Ocean Engineering 782
Replace Salim Ahmed with:
Salim Ahmed Canada
Guoming Chen China
Laibin Zhang China
Faisal Khan Ireland
Joaquim Casal Spain
Baoping Cai China
Xinping Yan China
Michael Havbro Faber Denmark
John Andrews United Kingdom
Jakub Montewka Poland
Ming Yang relative to Salim Ahmed Canada Salim Ahmed's profile →
Citations per field
00.5×1.7×
Salim Ahmed · 1×
Citations per year

Countries citing papers authored by Ming Yang

Since Specialization
Citations

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

Fields of papers citing papers by Ming Yang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 277 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Toward A Thousand Lights: Decentralized Deep Reinforcement Learning for Large-Scale Traffic Signal Control
Hit paper breakdown →
2020259
2 2017171
3 2017154
4 202298
5 202097
6 201283
7 201780
8 202080
9 201075
10 201971
11 201969
12 202367
13 201863
14 201863
15 201662
16 201558
17 201958
18 202157
19 201356
20 201556

About Ming Yang

Ming Yang is a scholar working on Statistics, Probability and Uncertainty, Radiological and Ultrasound Technology, Safety, Risk, Reliability and Quality, Control and Systems Engineering and Aerospace Engineering, having authored 277 papers that have together received 4.8k indexed citations. Recurring topics across this work include Risk and Safety Analysis (146 papers), Occupational Health and Safety Research (57 papers), Fault Detection and Control Systems (30 papers), Reliability and Maintenance Optimization (30 papers), Infrastructure Resilience and Vulnerability Analysis (25 papers), Structural Integrity and Reliability Analysis (21 papers), Combustion and Detonation Processes (17 papers) and Nuclear Engineering Thermal-Hydraulics (17 papers). The work is most often cited by research in Statistics, Probability and Uncertainty (2.0k citations), Radiological and Ultrasound Technology (937 citations), Chemical Health and Safety (74 citations), Safety, Risk, Reliability and Quality (690 citations) and Ocean Engineering (782 citations). Ming Yang has collaborated with scholars based in China, Netherlands and Canada. Frequent co-authors include Faisal Khan, Genserik Reniers, Brian Veitch, Sunday Adedigba, Mawuli Afenyo, Faisal Khan, Hidekazu Yoshikawa, Shuaiqi Yuan, Hao Sun and Xinhong Li. Their work appears in journals such as Process Safety and Environmental Protection, Reliability Engineering & System Safety, Journal of Loss Prevention in the Process Industries, Annals of Nuclear Energy and Journal of Nuclear Science and Technology.

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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