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Researcher · National Taiwan Normal University · Taiwan

Howard Hao-Jan Chen

Howard Hao-Jan Chen publishes mostly in Developmental and Educational Psychology, Artificial Intelligence and Language and Linguistics, on topics such as Second Language Acquisition and Learning, EFL/ESL Teaching and Learning and Natural Language Processing Techniques.

ORCID 0000-0002-8943-5689 OpenAlex
World rank
#75,560
of 7,710,434 ranked researchers
Rank in Taiwan
#162
of 57,035
Works
61
Citations
2.3k
Citations per work
37.5
h-index
21
i10-index 37Top 17% in Developmental and Educational Psychology
Howard Hao-Jan Chen

What does Howard Hao-Jan Chen research?

Howard Hao-Jan Chen's work is mostly in Arts and Humanities (29%), Computer Science (29%), Psychology (26%).

Social Sciences: 37 works · 60.7% of their workArts and Humanities: 18 works · 29.4% of their workLanguage and Linguistics: 13 works · 21.9% of their workLiterature and Literary Theory: 5 works · 7.5% of their workPsychology: 16 works · 26.3% of their workDevelopmental and Educational Psychology: 16 works · 26.3% of their workSocial Sciences: 3 works · 5.0% of their workEducation: 3 works · 5.0% of their workPhysical Sciences: 18 works · 28.8% of their workComputer Science: 18 works · 28.8% of their workArtificial Intelligence: 15 works · 23.8% of their workInformation Systems: 3 works · 5.0% of their workEverything else: 6 works · 10.5% of their workTHEIR WORKHoward Hao-JanChen61works
Physical Sciences29%Social Sciences61%

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. Arts and Humanities1829.4%
    2. Psychology1626.3%
    3. Social Sciences35.0%
    1. Computer Science1828.8%
  3. Everything else610.5%
  1. 1Developmental and Educational Psychology26% of their works
  2. 2Artificial Intelligence24% of their works
  3. 3Language and Linguistics22% of their works
  4. 4Literature and Literary Theory8% of their works
  5. 5Information Systems5% of their works
  6. 6Education5% of their works

Research topics

Which keywords describe Howard Hao-Jan Chen's research?

The keywords of their largest research topics: Language Teaching, Corpus Linguistics, Second Language Learning, Vocabulary Acquisition, Second Language Acquisition, Corrective Feedback, L2 Motivation and Neural Machine Translation.

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 19 words, with their numbers
  1. Language Teaching562 topics
  2. Corpus Linguistics412 topics
  3. Second Language Learning311 topic
  4. Vocabulary Acquisition311 topic
  5. Second Language Acquisition302 topics
  6. Corrective Feedback251 topic
  7. L2 Motivation251 topic
  8. Neural Machine Translation101 topic
  9. Statistical Machine Translation101 topic
  10. Readability Assessment81 topic
  11. Text Simplification81 topic
  12. CLIL71 topic
  13. Content and Language Integrated Learning71 topic
  14. Markov Decision Processes71 topic
  15. Spoken Dialogue Systems71 topic
  16. Artificial Intelligence61 topic
  17. Service Robots61 topic
  18. Language Learning51 topic
  19. Subtitling51 topic

Where does Howard Hao-Jan Chen work?

Howard Hao-Jan Chen's main affiliation in the publication record is National Taiwan Normal University, Taiwan.

How many publications and citations does Howard Hao-Jan Chen have?

OpenAlex counts 61 works and 2,285 citations for Howard Hao-Jan Chen, an h-index of 21, ranking #75,560 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.

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