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Researcher · Waseda University · Japan

Fengming Ye

Fengming Ye publishes mostly in Artificial Intelligence, Control and Systems Engineering and Molecular Biology, on topics such as Evolutionary Algorithms and Applications, Metaheuristic Optimization Algorithms Research and Reinforcement Learning in Robotics.

OpenAlex
World rank
#6,230,985
of 7,710,434 ranked researchers
Rank in Japan
#240,472
of 383,136
Works
22
Citations
99
Citations per work
4.5
h-index
6
i10-index 4Top 74% in Artificial Intelligence
Fengming Ye

What does Fengming Ye research?

Fengming Ye's work is mostly in Computer Science (62%), Engineering (18%), Biochemistry, Genetics and Molecular Biology (4%).

Physical Sciences: 18 works · 83.3% of their workComputer Science: 14 works · 62.1% of their workArtificial Intelligence: 14 works · 62.1% of their workEngineering: 4 works · 18.2% of their workControl and Systems Engineering: 3 works · 15.2% of their workBuilding and Construction: 1 works · 3.0% of their workMaterials Science: 1 works · 3.0% of their workMaterials Chemistry: 1 works · 3.0% of their workEverything else: 2 works · 9.2% of their workLife Sciences: 1 works · 4.5% of their workBiochemistry, Genetics and Molecular Biology: 1 works · 4.5% of their workMolecular Biology: 1 works · 4.5% of their workSocial Sciences: 1 works · 3.0% of their workSocial Sciences: 1 works · 3.0% of their workTransportation: 1 works · 3.0% of their workTHEIR WORKFengming Ye22works
Life Sciences4%Physical Sciences83%Social Sciences3%

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 Science1462.1%
    2. Engineering418.2%
    3. Materials Science13.0%
  2. Everything else29.2%
    1. Biochemistry, Genetics and Molecular Biology14.5%
    1. Social Sciences13.0%
  1. 1Artificial Intelligence62% of their works
  2. 2Control and Systems Engineering15% of their works
  3. 3Molecular Biology4% of their works
  4. 4Materials Chemistry3% of their works
  5. 5Transportation3% of their works
  6. 6Building and Construction3% of their works

Research topics

Which keywords describe Fengming Ye's research?

The keywords of their largest research topics: Evolutionary Algorithms, Genetic Programming, Machine Learning, Reinforcement Learning, Differential Evolution, Particle Swarm Optimization, Deep Learning and Neural Networks.

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.

All 18 words, with their numbers
  1. Evolutionary Algorithms292 topics
  2. Genetic Programming161 topic
  3. Machine Learning161 topic
  4. Reinforcement Learning152 topics
  5. Differential Evolution131 topic
  6. Particle Swarm Optimization131 topic
  7. Deep Learning111 topic
  8. Neural Networks111 topic
  9. Elevator41 topic
  10. Microscopic Simulation41 topic
  11. Traffic Control41 topic
  12. Traffic Flow41 topic
  13. Gene Regulatory Networks21 topic
  14. Public Transport21 topic
  15. Stochastic Gene Expression21 topic
  16. Travel Behavior21 topic
  17. DNA Computing11 topic
  18. Molecular Computation11 topic

Where does Fengming Ye work?

Fengming Ye's main affiliation in the publication record is Waseda University, Japan.

How many publications and citations does Fengming Ye have?

OpenAlex counts 22 works and 99 citations for Fengming Ye, an h-index of 6, ranking #6,230,985 of 7,710,434 researchers worldwide on the quality score.

Ranked on field-normalised 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.

Papers, co-authors, who cited this work and researchers on the nearest topics have tabs of their own, above. Is this your page? Claim it with your ORCID iD, or request a correction or removal.

Discussion

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