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Researcher · Bellevue College · United States

Ming Lei

Ming Lei publishes mostly in Artificial Intelligence, Information Systems and Management and Information Systems, on topics such as Explainable Artificial Intelligence (XAI), Data Analysis with R and Scientific Computing and Data Management.

OpenAlex
World rank
#4,906,939
of 7,710,434 ranked researchers
Rank in United States
#1,279,241
of 1,627,098
Works
16
Citations
1
Citations per work
0.1
h-index
1
i10-index 0Top 99% in Artificial Intelligence
Ming Lei

What does Ming Lei research?

Ming Lei's work is mostly in Computer Science (56%), Decision Sciences (17%).

Physical Sciences: 9 works · 56.3% of their workComputer Science: 9 works · 56.3% of their workArtificial Intelligence: 6 works · 37.5% of their workInformation Systems: 1 works · 8.3% of their workComputer Networks and Communications: 1 works · 6.3% of their workHuman-Computer Interaction: 1 works · 4.2% of their workEverything else: 4 works · 27.1% of their workSocial Sciences: 3 works · 16.6% of their workDecision Sciences: 3 works · 16.6% of their workInformation Systems and Management: 1 works · 8.3% of their workManagement Science and Operations Research: 1 works · 8.3% of their workTHEIR WORKMing Lei16works
Physical Sciences56%Social Sciences17%

Their six largest subfields, inside their fields and domains; the grey slice is everything else they publish. The interactive view splits every one of their works down to single topics.

The fields and subfields, with their numbers
    1. Computer Science956.3%
  2. Everything else427.1%
    1. Decision Sciences316.6%
  1. 1Artificial Intelligence38% of their works
  2. 2Information Systems and Management8% of their works
  3. 3Information Systems8% of their works
  4. 4Management Science and Operations Research8% of their works
  5. 5Computer Networks and Communications6% of their works
  6. 6Human-Computer Interaction4% of their works

Research topics

Which keywords describe Ming Lei's research?

The keywords of their largest research topics: Machine Learning, Deep Neural Networks, Big Data, Interpretable Models, Machine Learning Interpretability, Hyperparameter Optimization, R language and Statistical Analysis.

Size is their works in the topics tagged with each word, from their 8 largest topics. Each links to the topic it comes from most. The words come from the keyword list OpenAlex gives each topic, not from the text of the papers, so a word can appear that none of the papers uses.

All 21 words, with their numbers
  1. Machine Learning93 topics
  2. Deep Neural Networks82 topics
  3. Big Data72 topics
  4. Interpretable Models61 topic
  5. Machine Learning Interpretability61 topic
  6. Hyperparameter Optimization52 topics
  7. R language51 topic
  8. Statistical Analysis51 topic
  9. Deep Learning42 topics
  10. Reproducibility41 topic
  11. Scientific Workflows41 topic
  12. Bandit Optimization31 topic
  13. Bayesian Optimization31 topic
  14. Adversarial Examples21 topic
  15. Gaussian Processes21 topic
  16. Instance Selection21 topic
  17. Log Analysis21 topic
  18. Noisy Labels21 topic
  19. Performance Prediction21 topic
  20. Robustness21 topic
  21. Variational Inference21 topic

Where does Ming Lei work?

Ming Lei's main affiliation in the publication record is Bellevue College, United States.

How many publications and citations does Ming Lei have?

OpenAlex counts 16 works and 1 citations for Ming Lei, an h-index of 1, ranking #4,906,939 of 7,710,434 researchers worldwide on the quality score.

Ranked on field-normalised citation excellence (50%), output (30%) and citations (20%). Counts come from OpenAlex author records, which occasionally merge different people who share a name or split one person into several.

Other researchers named Ming Lei

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