What is he best known for?
The fields of study he is best known for:
- Artificial intelligence
- Statistics
- The Internet
His primary scientific interests are in World Wide Web, Social media, Artificial intelligence, The Internet and Collaborative filtering.
Daniel Zeng has included themes like Social influence and Interpersonal relationship in his Social media study.
His Artificial intelligence study combines topics from a wide range of disciplines, such as Transaction data and Machine learning.
His work on Web server is typically connected to CPU cache as part of general The Internet study, connecting several disciplines of science.
His work carried out in the field of Collaborative filtering brings together such families of science as Hopfield network, Collaborative software, Random graph theory and Search algorithm.
His Sentiment analysis study incorporates themes from Text mining, Information retrieval and Data science.
His most cited work include:
- Applying associative retrieval techniques to alleviate the sparsity problem in collaborative filtering (564 citations)
- Social Computing: From Social Informatics to Social Intelligence (449 citations)
- Social Media Analytics and Intelligence (328 citations)
What are the main themes of his work throughout his whole career to date?
His primary areas of investigation include Data science, Artificial intelligence, Social media, Information retrieval and Data mining.
His studies deal with areas such as Infectious disease, World Wide Web, Social computing and Data visualization as well as Data science.
His Artificial intelligence research is multidisciplinary, incorporating elements of Machine learning and Natural language processing.
His Social media research is multidisciplinary, relying on both Sentiment analysis, Cognitive psychology, Popularity and Empirical research.
His Information retrieval research includes elements of Web page and The Internet.
His Collaborative filtering study is concerned with the larger field of Recommender system.
He most often published in these fields:
- Data science (23.04%)
- Artificial intelligence (20.67%)
- Social media (16.15%)
What were the highlights of his more recent work (between 2017-2021)?
- Social media (16.15%)
- Artificial intelligence (20.67%)
- Data science (23.04%)
In recent papers he was focusing on the following fields of study:
His main research concerns Social media, Artificial intelligence, Data science, Deep learning and Advertising.
Daniel Zeng has researched Social media in several fields, including Sentiment analysis, Popularity, Cognitive psychology and Empirical research.
His Cognitive psychology study combines topics in areas such as Social computing, Sadness, Anger, Disgust and Centrality.
His research integrates issues of Machine learning and Natural language processing in his study of Artificial intelligence.
The concepts of his Data science study are interwoven with issues in Identification and Complex network.
His studies in Advertising integrate themes in fields like Incentive and Search engine advertising.
Between 2017 and 2021, his most popular works were:
- Estimating the effective reproduction number of the 2019-nCoV in China (73 citations)
- Incorporating Human Movement Data to Improve Epidemiological Estimates for 2019-nCoV (35 citations)
- The State-of-the-Art in Twitter Sentiment Analysis: A Review and Benchmark Evaluation (35 citations)
In his most recent research, the most cited papers focused on:
- Artificial intelligence
- Statistics
- The Internet
Social media, Data science, Popularity, Advertising and Social media analytics are his primary areas of study.
His Social media research incorporates elements of Sentiment analysis and Public health surveillance.
His Data science research incorporates themes from Network representation learning, Health informatics and Market research.
His Popularity research focuses on Purchasing and how it relates to User-generated content, Free riding, Word of mouth and Natural experiment.
The Advertising study combines topics in areas such as Incentive and Search engine.
Daniel Zeng combines subjects such as Social computing, Sadness, Cognitive psychology, Centrality and Disgust with his study of Social media analytics.
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