Ming Yang

239 papers receiving 4.4k citations

Ming Yang's Hit Papers

Toward A Thousand Lights: Decentralized Deep Reinforcement Learning for Large-Scale Traffic Signal Control 2020 · 244 citations
2440+2+4Years since publication50100150200

Peers

Ming Yang
Comparison fields: 5 of 166
  • Statistics, Probability and Uncertainty 1.9k
  • Radiological and Ultrasound Technology 892
  • Chemical Health and Safety 68
  • Safety, Risk, Reliability and Quality 663
  • Ocean Engineering 751
Replace Salim Ahmed with:
Salim Ahmed Canada
Laibin Zhang China
Guoming Chen China
Faisal Khan Ireland
Vikram Garaniya Australia
Nima Khakzad Netherlands
Joaquim Casal Spain
Baoping Cai China
Michael Havbro Faber Denmark
Xinping Yan China
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 255 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 →
2020244
2 2017165
3 2017150
4 202297
5 202094
6 201280
7 201775
8 202073
9 201072
10 201970
11 201967
12 202366
13 201862
14 201859
15 201658
16 201557
17 202154
18 201553
19 201953
20 201352

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 255 papers that have together received 4.5k indexed citations. Recurring topics across this work include Risk and Safety Analysis (128 papers), Occupational Health and Safety Research (51 papers), Reliability and Maintenance Optimization (28 papers), Fault Detection and Control Systems (26 papers), Infrastructure Resilience and Vulnerability Analysis (23 papers), Structural Integrity and Reliability Analysis (21 papers), Nuclear Engineering Thermal-Hydraulics (15 papers) and Software Reliability and Analysis Research (14 papers). The work is most often cited by research in Statistics, Probability and Uncertainty (1.9k citations), Radiological and Ultrasound Technology (892 citations), Chemical Health and Safety (68 citations), Safety, Risk, Reliability and Quality (663 citations) and Ocean Engineering (751 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, Shuaiqi Yuan, Hidekazu Yoshikawa, Xinhong Li and Nima Khakzad. 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 Nuclear Engineering and Design.

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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