What is he best known for?
The fields of study he is best known for:
- Statistics
- Artificial intelligence
- Machine learning
Zi-Ke Zhang spends much of his time researching Dynamics, Data science, Recommender system, Complex network and Empirical research.
In his works, Zi-Ke Zhang performs multidisciplinary study on Dynamics and Ranking.
His research links Human behavior with Data science.
His work on MovieLens as part of general Recommender system research is often related to Structure, thus linking different fields of science.
His MovieLens research integrates issues from Object, Artificial intelligence and Social tags.
The concepts of his Complex network study are interwoven with issues in Applied mathematics and Stability theory.
His most cited work include:
- Recommender Systems (480 citations)
- Dynamics of information diffusion and its applications on complex networks (207 citations)
- Dynamics of information diffusion and its applications on complex networks (207 citations)
What are the main themes of his work throughout his whole career to date?
Zi-Ke Zhang mostly deals with Recommender system, Data mining, MovieLens, Data science and Theoretical computer science.
His study in Recommender system is interdisciplinary in nature, drawing from both Empirical research, The Internet and Artificial intelligence.
His research investigates the connection between The Internet and topics such as Statistical physics that intersect with issues in Preferential attachment.
His study looks at the relationship between MovieLens and topics such as Object, which overlap with Cold start.
Zi-Ke Zhang combines subjects such as Ranking and Citation with his study of Data science.
His study explores the link between Theoretical computer science and topics such as Social network that cross with problems in Social system.
He most often published in these fields:
- Recommender system (31.51%)
- Data mining (19.86%)
- MovieLens (23.29%)
What were the highlights of his more recent work (between 2018-2021)?
- China (14.38%)
- Process (7.53%)
- Theoretical computer science (21.23%)
In recent papers he was focusing on the following fields of study:
Zi-Ke Zhang spends much of his time researching China, Process, Theoretical computer science, Data science and Complex network.
His China research incorporates themes from Lidar, Sun photometer and Remote sensing.
His Theoretical computer science study frequently intersects with other fields, such as Markov chain.
His biological study spans a wide range of topics, including Network model, Pairwise comparison and Citation.
Zi-Ke Zhang studies Complex network, namely Network science.
His Network science research incorporates elements of Inference and Rumor.
Between 2018 and 2021, his most popular works were:
- Computational network biology: Data, models, and applications (25 citations)
- Computational network biology: Data, models, and applications (25 citations)
- Analysis of COVID-19 transmission in Shanxi Province with discrete time imported cases. (16 citations)
In his most recent research, the most cited papers focused on:
- Statistics
- Artificial intelligence
- Machine learning
Data modeling, 2019-20 coronavirus outbreak, Coronavirus disease 2019, China and Severe acute respiratory syndrome coronavirus 2 are his primary areas of study.
His Data modeling research overlaps with other disciplines such as Complex network, Data science, Biological network, Biomedical technology and Network science.
Zi-Ke Zhang connects Complex network with Human disease in his research.
His 2019-20 coronavirus outbreak study results in a more complete grasp of Outbreak.
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