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Researcher · Ping An (China) · ??

Xulong Zhang

Xulong Zhang publishes mostly in Signal Processing, Artificial Intelligence and Computer Vision and Pattern Recognition, on topics such as Speech Recognition and Synthesis, Speech and Audio Processing and Music and Audio Processing.

ORCID 0000-0001-7005-992X OpenAlex
World rank
#2,763,925
of 7,710,434 ranked researchers
Rank in ??
#4,522
of 21,892
Works
225
Citations
1.6k
Citations per work
7.0
h-index
20
i10-index 37Top 12% in Signal Processing
Xulong Zhang

What does Xulong Zhang research?

Xulong Zhang's work is mostly in Computer Science (61%), Engineering (7%), Medicine (3%).

Physical Sciences: 153 works · 67.8% of their workComputer Science: 137 works · 60.9% of their workSignal Processing: 60 works · 26.8% of their workArtificial Intelligence: 51 works · 22.7% of their workComputer Vision and Pattern Recognition: 26 works · 11.4% of their workEngineering: 16 works · 6.9% of their workElectrical and Electronic Engineering: 9 works · 4.2% of their workCivil and Structural Engineering: 6 works · 2.7% of their workEverything else: 65 works · 28.9% of their workHealth Sciences: 7 works · 3.3% of their workMedicine: 7 works · 3.3% of their workSurgery: 7 works · 3.3% of their workTHEIR WORKXulong Zhang225works
Physical Sciences68%Health Sciences3%

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 Science13760.9%
    2. Engineering166.9%
  2. Everything else6528.9%
    1. Medicine73.3%
  1. 1Signal Processing27% of their works
  2. 2Artificial Intelligence23% of their works
  3. 3Computer Vision and Pattern Recognition11% of their works
  4. 4Electrical and Electronic Engineering4% of their works
  5. 5Surgery3% of their works
  6. 6Civil and Structural Engineering3% of their works

Research topics

Which keywords describe Xulong Zhang's research?

The keywords of their largest research topics: Deep Learning, Convolutional Neural Networks, Neural Networks, Feature Extraction, Acoustic Modeling, Deep Neural Networks, Audio-Visual Speech Recognition and Speech Enhancement.

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 21 words, with their numbers
  1. Deep Learning1554 topics
  2. Convolutional Neural Networks1402 topics
  3. Neural Networks923 topics
  4. Feature Extraction752 topics
  5. Acoustic Modeling731 topic
  6. Deep Neural Networks731 topic
  7. Audio-Visual Speech Recognition711 topic
  8. Speech Enhancement711 topic
  9. Audio Signal Classification671 topic
  10. Music Information Retrieval671 topic
  11. Human-Computer Interaction182 topics
  12. Machine Translation121 topic
  13. Neural Machine Translation121 topic
  14. Statistical Machine Translation121 topic
  15. Word Representation121 topic
  16. Interactive Evolutionary Computation101 topic
  17. Music Generation101 topic
  18. Generative Adversarial Networks91 topic
  19. Image Synthesis91 topic
  20. Emotion Recognition81 topic
  21. Multimodal Data81 topic

Where does Xulong Zhang work?

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

How many publications and citations does Xulong Zhang have?

OpenAlex counts 225 works and 1,584 citations for Xulong Zhang, an h-index of 20, ranking #2,763,925 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 Xulong Zhang

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

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