Science Explorer Back to mapMap
Discussion
Researcher · Western Kentucky University · United States

Huanjing Wang

Huanjing Wang publishes mostly in Artificial Intelligence, Information Systems and Software, on topics such as Software Engineering Research, Software Reliability and Analysis Research and Machine Learning and Data Classification.

ORCID 0000-0001-6320-2249 OpenAlex
World rank
#789,401
of 7,710,434 ranked researchers
Rank in United States
#263,822
of 1,627,098
Works
83
Citations
2.7k
Citations per work
32.0
h-index
21
i10-index 36Top 12% in Artificial Intelligence
Huanjing Wang

What does Huanjing Wang research?

Huanjing Wang's work is mostly in Computer Science (57%), Engineering (5%), Materials Science (3%).

Physical Sciences: 54 works · 65.2% of their workComputer Science: 47 works · 56.9% of their workArtificial Intelligence: 17 works · 20.9% of their workInformation Systems: 15 works · 18.4% of their workSoftware: 10 works · 11.7% of their workComputer Networks and Communications: 5 works · 5.9% of their workEngineering: 4 works · 5.0% of their workElectrical and Electronic Engineering: 4 works · 5.0% of their workMaterials Science: 3 works · 3.3% of their workElectronic, Optical and Magnetic Materials: 3 works · 3.3% of their workEverything else: 29 works · 34.8% of their workTHEIR WORKHuanjing Wang83works
Physical Sciences65%

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 Science4756.9%
    2. Engineering45.0%
    3. Materials Science33.3%
  2. Everything else2934.8%
  1. 1Artificial Intelligence21% of their works
  2. 2Information Systems18% of their works
  3. 3Software12% of their works
  4. 4Computer Networks and Communications6% of their works
  5. 5Electrical and Electronic Engineering5% of their works
  6. 6Electronic, Optical and Magnetic Materials3% of their works

Research topics

Which keywords describe Huanjing Wang's research?

The keywords of their largest research topics: Machine Learning, Classification, Code Clone Detection, Refactoring, Architecture-Based Approach, Software Reliability Modeling, Hyperparameter Optimization and Imbalanced Data.

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 Learning392 topics
  2. Classification282 topics
  3. Code Clone Detection281 topic
  4. Refactoring281 topic
  5. Architecture-Based Approach221 topic
  6. Software Reliability Modeling221 topic
  7. Hyperparameter Optimization141 topic
  8. Imbalanced Data141 topic
  9. Noisy Labels141 topic
  10. SMOTE141 topic
  11. Data Mining111 topic
  12. Frequent Patterns111 topic
  13. Log Analysis101 topic
  14. Performance Prediction101 topic
  15. Carbon-Based Materials81 topic
  16. Graphene81 topic
  17. Automated Testing61 topic
  18. Software Fault Localization61 topic

Where does Huanjing Wang work?

Huanjing Wang's main affiliation in the publication record is Western Kentucky University, United States.

How many publications and citations does Huanjing Wang have?

OpenAlex counts 83 works and 2,653 citations for Huanjing Wang, an h-index of 21, ranking #789,401 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 Huanjing Wang. 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.