Science Explorer Back to mapMap
Discussion
Researcher · Tencent (China) · China

Fandong Meng

Fandong Meng publishes mostly in Artificial Intelligence, Computer Vision and Pattern Recognition and Information Systems, on topics such as Topic Modeling, Natural Language Processing Techniques and Multimodal Machine Learning Applications.

ORCID 0000-0002-8158-2377 OpenAlex
World rank
#668,104
of 7,710,434 ranked researchers
Rank in China
#87,194
of 978,568
Works
357
Citations
4.2k
Citations per work
11.7
h-index
31
i10-index 93Top 4.4% in Artificial Intelligence
Fandong Meng

What does Fandong Meng research?

Fandong Meng's work is mostly in Computer Science (79%), Engineering (4%), Chemistry (2%).

Physical Sciences: 303 works · 84.8% of their workComputer Science: 283 works · 79.3% of their workArtificial Intelligence: 220 works · 61.6% of their workComputer Vision and Pattern Recognition: 52 works · 14.6% of their workInformation Systems: 11 works · 3.1% of their workEngineering: 14 works · 4.0% of their workControl and Systems Engineering: 9 works · 2.5% of their workBiomedical Engineering: 5 works · 1.5% of their workChemistry: 5 works · 1.5% of their workAnalytical Chemistry: 5 works · 1.5% of their workEverything else: 54 works · 15.2% of their workTHEIR WORKFandong Meng357works
Physical Sciences85%

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 Science28379.3%
    2. Engineering144.0%
    3. Chemistry51.5%
  2. Everything else5415.2%
  1. 1Artificial Intelligence62% of their works
  2. 2Computer Vision and Pattern Recognition15% of their works
  3. 3Information Systems3% of their works
  4. 4Control and Systems Engineering2% of their works
  5. 5Analytical Chemistry2% of their works
  6. 6Biomedical Engineering2% of their works

Research topics

Which keywords describe Fandong Meng's research?

The keywords of their largest research topics: Neural Networks, Machine Translation, Word Representation, Neural Machine Translation, Statistical Machine Translation, Deep Learning, Image Captioning and Visual Question Answering.

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 Networks3263 topics
  2. Machine Translation2111 topic
  3. Word Representation2111 topic
  4. Neural Machine Translation1931 topic
  5. Statistical Machine Translation1931 topic
  6. Deep Learning1303 topics
  7. Image Captioning881 topic
  8. Visual Question Answering881 topic
  9. Machine Learning502 topics
  10. Readability Assessment271 topic
  11. Text Simplification271 topic
  12. Markov Decision Processes251 topic
  13. Spoken Dialogue Systems251 topic
  14. Opinion Mining231 topic
  15. Sentiment Analysis231 topic
  16. Domain Adaptation221 topic
  17. Transfer Learning221 topic
  18. Feature Matching191 topic
  19. Local Descriptors191 topic

Where does Fandong Meng work?

Fandong Meng's main affiliation in the publication record is Tencent (China), China.

How many publications and citations does Fandong Meng have?

OpenAlex counts 357 works and 4,161 citations for Fandong Meng, an h-index of 31, ranking #668,104 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 Fandong Meng

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 Fandong Meng. 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.