Science Explorer Back to mapMap
Discussion
Researcher · ENSAE Paris · France

François Hu

François Hu publishes mostly in Artificial Intelligence, Safety Research and Statistics and Probability, on topics such as Ethics and Social Impacts of AI, Explainable Artificial Intelligence (XAI) and Adversarial Robustness in Machine Learning.

ORCID 0009-0000-6093-6175 OpenAlex
World rank
#4,620,963
of 7,710,434 ranked researchers
Rank in France
#194,622
of 324,115
Works
30
Citations
59
Citations per work
2.0
h-index
5
i10-index 1Top 82% in Artificial Intelligence
François Hu

What does François Hu research?

François Hu's work is mostly in Computer Science (45%), Social Sciences (17%), Mathematics (11%).

Physical Sciences: 17 works · 56.2% of their workComputer Science: 14 works · 45.3% of their workArtificial Intelligence: 11 works · 37.5% of their workComputer Science Applications: 2 works · 7.8% of their workMathematics: 3 works · 10.9% of their workStatistics and Probability: 3 works · 10.9% of their workSocial Sciences: 9 works · 29.7% of their workSocial Sciences: 5 works · 17.2% of their workSafety Research: 5 works · 17.2% of their workEconomics, Econometrics and Finance: 2 works · 7.8% of their workEconomics and Econometrics: 2 works · 7.8% of their workDecision Sciences: 1 works · 4.7% of their workManagement Science and Operations Research: 1 works · 4.7% of their workEverything else: 4 works · 14.1% of their workTHEIR WORKFrançois Hu30works
Physical Sciences56%Social Sciences30%

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 Science1445.3%
    2. Mathematics310.9%
    1. Social Sciences517.2%
    2. Economics, Econometrics and Finance27.8%
    3. Decision Sciences14.7%
  3. Everything else414.1%
  1. 1Artificial Intelligence38% of their works
  2. 2Safety Research17% of their works
  3. 3Statistics and Probability11% of their works
  4. 4Economics and Econometrics8% of their works
  5. 5Computer Science Applications8% of their works
  6. 6Management Science and Operations Research5% of their works

Research topics

Which keywords describe François Hu's research?

The keywords of their largest research topics: Machine Learning, Ethics, Fairness, Deep Learning, Interpretable Models, Machine Learning Interpretability, Adversarial Examples and Crowdsourcing.

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 18 words, with their numbers
  1. Machine Learning214 topics
  2. Ethics111 topic
  3. Fairness111 topic
  4. Deep Learning82 topics
  5. Interpretable Models81 topic
  6. Machine Learning Interpretability81 topic
  7. Adversarial Examples51 topic
  8. Crowdsourcing51 topic
  9. Mechanical Turk51 topic
  10. Robustness51 topic
  11. Active Learning31 topic
  12. Causal Inference31 topic
  13. Propensity Score31 topic
  14. Semi-Supervised Learning31 topic
  15. Classification21 topic
  16. Differential Privacy21 topic
  17. Federated Learning21 topic
  18. Imbalanced Data21 topic

Where does François Hu work?

François Hu's main affiliation in the publication record is ENSAE Paris, France.

How many publications and citations does François Hu have?

OpenAlex counts 30 works and 59 citations for François Hu, an h-index of 5, ranking #4,620,963 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.

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

Ask a question or share a note about François Hu. Keep it to the research: no personal attacks, advertising or links. Any reader can report a post, which collapses it for everyone until it is opened.