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Researcher · De Montfort University · United Kingdom

Ming‐Wei Chang

Ming‐Wei Chang publishes mostly in Artificial Intelligence, Electrical and Electronic Engineering and Biomaterials, on topics such as Topic Modeling, Natural Language Processing Techniques and Electrospun Nanofibers in Biomedical Applications.

ORCID 0000-0002-0137-8895 OpenAlex
World rank
#117,083
of 7,710,434 ranked researchers
Rank in United Kingdom
#10,433
of 367,258
Works
284
Citations
50k
Citations per work
177.7
h-index
60
i10-index 195Top 0.5% in Artificial Intelligence
Ming‐Wei Chang

What does Ming‐Wei Chang research?

Ming‐Wei Chang's work is mostly in Computer Science (35%), Engineering (16%), Materials Science (8%).

Physical Sciences: 169 works · 59.4% of their workComputer Science: 100 works · 35.1% of their workArtificial Intelligence: 81 works · 28.4% of their workComputer Vision and Pattern Recognition: 19 works · 6.7% of their workEngineering: 46 works · 16.1% of their workElectrical and Electronic Engineering: 23 works · 8.2% of their workBiomedical Engineering: 22 works · 7.9% of their workMaterials Science: 23 works · 8.2% of their workBiomaterials: 23 works · 8.2% of their workEverything else: 103 works · 36.3% of their workLife Sciences: 12 works · 4.3% of their workPharmacology, Toxicology and Pharmaceutics: 12 works · 4.3% of their workPharmaceutical Science: 12 works · 4.3% of their workTHEIR WORKMing‐Wei Chang284works
Life Sciences4%Physical Sciences59%

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 Science10035.1%
    2. Engineering4616.1%
    3. Materials Science238.2%
  2. Everything else10336.3%
    1. Pharmacology, Toxicology and Pharmaceutics124.3%
  1. 1Artificial Intelligence28% of their works
  2. 2Electrical and Electronic Engineering8% of their works
  3. 3Biomaterials8% of their works
  4. 4Biomedical Engineering8% of their works
  5. 5Computer Vision and Pattern Recognition7% of their works
  6. 6Pharmaceutical Science4% of their works

Research topics

Which keywords describe Ming‐Wei Chang's research?

The keywords of their largest research topics: Neural Networks, Drug Delivery, Biomedical Applications, Machine Translation, Word Representation, Neural Machine Translation, Statistical Machine Translation and Electrospinning.

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 19 words, with their numbers
  1. Neural Networks1182 topics
  2. Drug Delivery1123 topics
  3. Biomedical Applications952 topics
  4. Machine Translation871 topic
  5. Word Representation871 topic
  6. Neural Machine Translation781 topic
  7. Statistical Machine Translation781 topic
  8. Electrospinning501 topic
  9. Nanofibers501 topic
  10. Electrohydrodynamic Jet Printing451 topic
  11. Nanoparticle Encapsulation451 topic
  12. Image Captioning311 topic
  13. Visual Question Answering311 topic
  14. Nanogenerators181 topic
  15. Wearable181 topic
  16. Chitosan171 topic
  17. Nanoparticles171 topic
  18. Domain Adaptation161 topic
  19. Transfer Learning161 topic

Where does Ming‐Wei Chang work?

Ming‐Wei Chang's main affiliation in the publication record is De Montfort University, United Kingdom.

How many publications and citations does Ming‐Wei Chang have?

OpenAlex counts 284 works and 50,479 citations for Ming‐Wei Chang, an h-index of 60, ranking #117,083 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‐Wei Chang

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.

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