What is he best known for?
The fields of study he is best known for:
- Artificial intelligence
- The Internet
- Machine learning
Weiguo Fan mainly investigates Information retrieval, Artificial intelligence, Marketing, Ranking and Machine learning.
He has included themes like Web page, World Wide Web and Data mining in his Information retrieval study.
His work on Information needs is typically connected to Service provider as part of general World Wide Web study, connecting several disciplines of science.
As a member of one scientific family, Weiguo Fan mostly works in the field of Artificial intelligence, focusing on Pattern recognition and, on occasion, Content-based image retrieval and Feature detection.
The concepts of his Marketing study are interwoven with issues in Page view and Social media analytics.
In Ranking, Weiguo Fan works on issues like Ranking, which are connected to Graph and Link analysis.
His most cited work include:
- The power of social media analytics (308 citations)
- Social presence, trust, and social commerce purchase intention (280 citations)
- A comparative analysis of major online review platforms: Implications for social media analytics in hospitality and tourism (279 citations)
What are the main themes of his work throughout his whole career to date?
His primary scientific interests are in Information retrieval, Artificial intelligence, World Wide Web, Data mining and Machine learning.
His Information retrieval study frequently involves adjacent topics like Ranking.
The study incorporates disciplines such as Natural language processing and Pattern recognition in addition to Artificial intelligence.
World Wide Web is closely attributed to Key in his work.
Weiguo Fan has researched Genetic programming in several fields, including Genetic algorithm and Visual Word, Image retrieval, Relevance feedback.
In general Ranking, his work in Ranking SVM is often linked to Function linking many areas of study.
He most often published in these fields:
- Information retrieval (28.21%)
- Artificial intelligence (23.08%)
- World Wide Web (21.54%)
What were the highlights of his more recent work (between 2016-2021)?
- Artificial intelligence (23.08%)
- Data science (11.28%)
- Knowledge management (10.26%)
In recent papers he was focusing on the following fields of study:
The scientist’s investigation covers issues in Artificial intelligence, Data science, Knowledge management, Information retrieval and Product.
His work deals with themes such as Pattern recognition and Natural language processing, which intersect with Artificial intelligence.
His Pattern recognition research includes elements of Ranking and Sketch.
His Analytics study in the realm of Data science interacts with subjects such as Kernel theory.
His research integrates issues of Information quality and Social media analytics in his study of Analytics.
His Information retrieval study integrates concerns from other disciplines, such as Text mining, Quality and Web mining.
Between 2016 and 2021, his most popular works were:
- A comparative analysis of major online review platforms: Implications for social media analytics in hospitality and tourism (279 citations)
- A new image classification method using CNN transfer learning and web data augmentation (145 citations)
- Understanding the determinants of online review helpfulness: A meta-analytic investigation (105 citations)
In his most recent research, the most cited papers focused on:
- Artificial intelligence
- The Internet
- Machine learning
Weiguo Fan mostly deals with Artificial intelligence, Data science, Image, Analytics and Sketch.
Artificial intelligence and Machine learning are commonly linked in his work.
The Data science study combines topics in areas such as New product development, Product reviews, Purchasing and Mobile apps.
His Image research is multidisciplinary, incorporating perspectives in Visualization and Sample.
Weiguo Fan interconnects Quality, Key and Product in the investigation of issues within Analytics.
His Sketch study combines topics from a wide range of disciplines, such as Ranking, Object, Information retrieval and Image retrieval.
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