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Researcher · RTX (United States) · United States

Jim Huang

Jim Huang publishes mostly in Artificial Intelligence, Electrical and Electronic Engineering and Civil and Structural Engineering, on topics such as Target Tracking and Data Fusion in Sensor Networks, Bayesian Modeling and Causal Inference and Gaussian Processes and Bayesian Inference.

OpenAlex
World rank
#1,856,530
of 7,710,434 ranked researchers
Rank in United States
#568,647
of 1,627,098
Works
92
Citations
3k
Citations per work
33.2
h-index
25
i10-index 56Top 7.8% in Artificial Intelligence
Jim Huang

What does Jim Huang research?

Jim Huang's work is mostly in Computer Science (19%), Engineering (16%), Biochemistry, Genetics and Molecular Biology (4%).

Everything else: 52 works · 56.8% of their workPhysical Sciences: 36 works · 38.8% of their workComputer Science: 17 works · 18.8% of their workArtificial Intelligence: 17 works · 18.8% of their workEngineering: 15 works · 16.0% of their workElectrical and Electronic Engineering: 7 works · 7.2% of their workAerospace Engineering: 4 works · 4.4% of their workCivil and Structural Engineering: 4 works · 4.4% of their workMathematics: 4 works · 4.0% of their workStatistics and Probability: 4 works · 4.0% of their workLife Sciences: 4 works · 4.4% of their workBiochemistry, Genetics and Molecular Biology: 4 works · 4.4% of their workMolecular Biology: 4 works · 4.4% of their workTHEIR WORKJim Huang92works
Life Sciences4%Physical Sciences39%

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. Everything else5256.8%
    1. Computer Science1718.8%
    2. Engineering1516.0%
    3. Mathematics44.0%
    1. Biochemistry, Genetics and Molecular Biology44.4%
  1. 1Artificial Intelligence19% of their works
  2. 2Electrical and Electronic Engineering7% of their works
  3. 3Civil and Structural Engineering4% of their works
  4. 4Aerospace Engineering4% of their works
  5. 5Molecular Biology4% of their works
  6. 6Statistics and Probability4% of their works

Research topics

Which keywords describe Jim Huang's research?

The keywords of their largest research topics: Bayesian Inference, Nonlinear Estimation, Particle Filters, Bayesian Networks, Causal Inference, Drought, Gaussian Processes and Groundwater Flow.

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 17 words, with their numbers
  1. Bayesian Inference222 topics
  2. Nonlinear Estimation151 topic
  3. Particle Filters151 topic
  4. Bayesian Networks81 topic
  5. Causal Inference81 topic
  6. Drought71 topic
  7. Gaussian Processes71 topic
  8. Groundwater Flow71 topic
  9. Long-Range Interactions71 topic
  10. Machine Learning71 topic
  11. Monitoring71 topic
  12. Nonextensive Statistical Mechanics71 topic
  13. Transport Modeling71 topic
  14. Leak Detection61 topic
  15. Water Distribution Networks61 topic
  16. Gene Expression51 topic
  17. MicroRNA51 topic

Where does Jim Huang work?

Jim Huang's main affiliation in the publication record is RTX (United States), United States.

How many publications and citations does Jim Huang have?

OpenAlex counts 92 works and 3,050 citations for Jim Huang, an h-index of 25, ranking #1,856,530 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

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