Science Explorer Back to mapMap
Discussion
Researcher · Ping An (China) · ??

Jun Ma

Jun Ma publishes mostly in Artificial Intelligence, Signal Processing and Computer Networks and Communications, on topics such as Speech Recognition and Synthesis, Natural Language Processing Techniques and Music and Audio Processing.

ORCID 0009-0003-8713-0667 OpenAlex
World rank
#3,271,271
of 7,710,434 ranked researchers
Rank in ??
#5,655
of 21,892
Works
20
Citations
211
Citations per work
10.6
h-index
5
i10-index 4Top 82% in Artificial Intelligence
Jun Ma

What does Jun Ma research?

Jun Ma's work is mostly in Computer Science (75%), Engineering (9%).

Physical Sciences: 17 works · 84.0% of their workComputer Science: 15 works · 75.0% of their workArtificial Intelligence: 9 works · 44.6% of their workSignal Processing: 3 works · 14.3% of their workComputer Networks and Communications: 2 works · 10.7% of their workComputer Vision and Pattern Recognition: 1 works · 5.4% of their workEngineering: 2 works · 9.0% of their workElectrical and Electronic Engineering: 1 works · 5.4% of their workAutomotive Engineering: 1 works · 3.6% of their workEverything else: 3 works · 16.0% of their workTHEIR WORKJun Ma20works
Physical Sciences84%

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 Science1575.0%
    2. Engineering29.0%
  2. Everything else316.0%
  1. 1Artificial Intelligence45% of their works
  2. 2Signal Processing14% of their works
  3. 3Computer Networks and Communications11% of their works
  4. 4Computer Vision and Pattern Recognition5% of their works
  5. 5Electrical and Electronic Engineering5% of their works
  6. 6Automotive Engineering4% of their works

Research topics

Which keywords describe Jun Ma's research?

The keywords of their largest research topics: Convolutional Neural Networks, Acoustic Modeling, Deep Learning, Deep Neural Networks, Neural Networks, Neural Machine Translation, Statistical Machine Translation and Audio Signal Classification.

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. Convolutional Neural Networks112 topics
  2. Acoustic Modeling71 topic
  3. Deep Learning72 topics
  4. Deep Neural Networks71 topic
  5. Neural Networks62 topics
  6. Neural Machine Translation51 topic
  7. Statistical Machine Translation51 topic
  8. Audio Signal Classification41 topic
  9. Music Information Retrieval41 topic
  10. Audio-Visual Speech Recognition31 topic
  11. Block Ciphers31 topic
  12. Cryptanalysis31 topic
  13. Machine Translation31 topic
  14. Speech Enhancement31 topic
  15. Word Representation31 topic
  16. Cryptography21 topic
  17. Error-Correcting Codes21 topic
  18. Fiber Bragg Grating21 topic
  19. Spectral Amplitude Coding21 topic

Where does Jun Ma work?

Jun Ma's main affiliation in the publication record is Ping An (China), ??.

How many publications and citations does Jun Ma have?

OpenAlex counts 20 works and 211 citations for Jun Ma, an h-index of 5, ranking #3,271,271 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 Jun Ma

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 Jun Ma. 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.