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Researcher · Guangdong Polytechnic Normal University · China

Zhikang Tang

Zhikang Tang publishes mostly in Artificial Intelligence, Statistical and Nonlinear Physics and Information Systems, on topics such as Advanced Graph Neural Networks, Complex Network Analysis Techniques and Recommender Systems and Techniques.

ORCID 0000-0002-8276-3508 OpenAlex
World rank
#3,409,215
of 7,710,434 ranked researchers
Rank in China
#535,117
of 978,568
Works
21
Citations
158
Citations per work
7.5
h-index
6
i10-index 5Top 74% in Artificial Intelligence
Zhikang Tang

What does Zhikang Tang research?

Zhikang Tang's work is mostly in Computer Science (34%), Physics and Astronomy (15%), Agricultural and Biological Sciences (5%).

Physical Sciences: 10 works · 49.3% of their workComputer Science: 7 works · 34.5% of their workArtificial Intelligence: 5 works · 23.0% of their workInformation Systems: 2 works · 11.5% of their workPhysics and Astronomy: 3 works · 14.8% of their workStatistical and Nonlinear Physics: 3 works · 14.8% of their workEverything else: 8 works · 37.6% of their workLife Sciences: 2 works · 9.8% of their workAgricultural and Biological Sciences: 1 works · 4.9% of their workPlant Science: 1 works · 4.9% of their workBiochemistry, Genetics and Molecular Biology: 1 works · 4.9% of their workMolecular Biology: 1 works · 4.9% of their workSocial Sciences: 1 works · 3.3% of their workPsychology: 1 works · 3.3% of their workExperimental and Cognitive Psychology: 1 works · 3.3% of their workTHEIR WORKZhikang Tang21works
Life Sciences10%Physical Sciences49%Social 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 Science734.5%
    2. Physics and Astronomy314.8%
  2. Everything else837.6%
    1. Agricultural and Biological Sciences14.9%
    2. Biochemistry, Genetics and Molecular Biology14.9%
    1. Psychology13.3%
  1. 1Artificial Intelligence23% of their works
  2. 2Statistical and Nonlinear Physics15% of their works
  3. 3Information Systems12% of their works
  4. 4Plant Science5% of their works
  5. 5Molecular Biology5% of their works
  6. 6Experimental and Cognitive Psychology3% of their works

Research topics

Which keywords describe Zhikang Tang's research?

The keywords of their largest research topics: Deep Learning, Network Dynamics, Social Influence, Community Structure, Graph Neural Networks, Knowledge Graph Embedding, Scale-Free Networks and Collaborative Filtering.

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 20 words, with their numbers
  1. Deep Learning112 topics
  2. Network Dynamics92 topics
  3. Social Influence92 topics
  4. Community Structure61 topic
  5. Graph Neural Networks61 topic
  6. Knowledge Graph Embedding61 topic
  7. Scale-Free Networks61 topic
  8. Collaborative Filtering51 topic
  9. Matrix Factorization51 topic
  10. Phytochemistry42 topics
  11. Bounded Confidence31 topic
  12. Opinion Dynamics31 topic
  13. Apiaceae Family21 topic
  14. Herbal Medicine21 topic
  15. Multi-label Learning21 topic
  16. Polyacetylenes21 topic
  17. Saponins21 topic
  18. Text Classification21 topic
  19. Traditional Chinese Medicine21 topic
  20. Triterpenoids21 topic

Where does Zhikang Tang work?

Zhikang Tang's main affiliation in the publication record is Guangdong Polytechnic Normal University, China.

How many publications and citations does Zhikang Tang have?

OpenAlex counts 21 works and 158 citations for Zhikang Tang, an h-index of 6, ranking #3,409,215 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.

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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