H-Index & Metrics Top Publications

H-Index & Metrics

Discipline name H-index Citations Publications World Ranking National Ranking
Computer Science H-index 59 Citations 13,038 180 World Ranking 1659 National Ranking 30

Overview

What is he best known for?

The fields of study he is best known for:

  • Artificial intelligence
  • Machine learning
  • Database

His primary areas of investigation include Information retrieval, Data mining, World Wide Web, Social network and Point of interest. Gao Cong regularly ties together related areas like The Internet in his Information retrieval studies. The study incorporates disciplines such as Machine learning, Row and Search engine indexing, Artificial intelligence in addition to Data mining.

His Web content study, which is part of a larger body of work in World Wide Web, is frequently linked to Baseline and Focus, bridging the gap between disciplines. Gao Cong has researched Social network in several fields, including Graphical model and Profiling. His Point of interest research is multidisciplinary, incorporating elements of Breadth-first search, Recommender system, Graph and Service.

His most cited work include:

  • Time-aware point-of-interest recommendation (505 citations)
  • Efficient retrieval of the top-k most relevant spatial web objects (467 citations)
  • Community-based greedy algorithm for mining top-K influential nodes in mobile social networks (388 citations)

What are the main themes of his work throughout his whole career to date?

His primary scientific interests are in Data mining, Information retrieval, Artificial intelligence, Theoretical computer science and Machine learning. His work deals with themes such as Tree, Scalability, Row and Cluster analysis, which intersect with Data mining. The Information retrieval study which covers World Wide Web that intersects with Point of interest.

His work carried out in the field of Artificial intelligence brings together such families of science as Natural language processing and Pattern recognition. In his work, Social network is strongly intertwined with Graph, which is a subfield of Theoretical computer science. His work is dedicated to discovering how Web search query, Query language are connected with Query expansion and other disciplines.

He most often published in these fields:

  • Data mining (32.86%)
  • Information retrieval (29.58%)
  • Artificial intelligence (20.19%)

What were the highlights of his more recent work (between 2018-2021)?

  • Artificial intelligence (20.19%)
  • Theoretical computer science (12.68%)
  • Trajectory (5.16%)

In recent papers he was focusing on the following fields of study:

Artificial intelligence, Theoretical computer science, Trajectory, Graph and Machine learning are his primary areas of study. The Artificial intelligence study combines topics in areas such as Sequence modeling and Pattern recognition. In his study, Human–computer interaction is strongly linked to Recommender system, which falls under the umbrella field of Theoretical computer science.

His work in Graph covers topics such as Graph which are related to areas like Social network, Session and Pairwise comparison. Gao Cong performs integrative Throughput and Data mining research in his work. His Data mining study combines topics in areas such as Stability and Dimension.

Between 2018 and 2021, his most popular works were:

  • Interact and Decide: Medley of Sub-Attention Networks for Effective Group Recommendation (21 citations)
  • HyperML: A Boosting Metric Learning Approach in Hyperbolic Space for Recommender Systems (20 citations)
  • Computing Trajectory Similarity in Linear Time: A Generic Seed-Guided Neural Metric Learning Approach (18 citations)

In his most recent research, the most cited papers focused on:

  • Artificial intelligence
  • Machine learning
  • Database

Gao Cong spends much of his time researching Recommender system, Theoretical computer science, Feature learning, Artificial intelligence and Collaborative filtering. His Recommender system research integrates issues from Session, Graph, Pairwise comparison and Graph. His research integrates issues of Artificial neural network, Generative model and Statistical model in his study of Feature learning.

Gao Cong combines subjects such as Machine learning and Pattern recognition with his study of Artificial intelligence. His study in Collaborative filtering is interdisciplinary in nature, drawing from both Boosting and Human–computer interaction. His Metric research focuses on Ranking and how it connects with Recurrent neural network.

This overview was generated by a machine learning system which analysed the scientist’s body of work. If you have any feedback, you can contact us here.

Top Publications

Time-aware point-of-interest recommendation

Quan Yuan;Gao Cong;Zongyang Ma;Aixin Sun.
international acm sigir conference on research and development in information retrieval (2013)

763 Citations

Efficient retrieval of the top-k most relevant spatial web objects

Gao Cong;Christian S. Jensen;Dingming Wu.
very large data bases (2009)

674 Citations

Community-based greedy algorithm for mining top-K influential nodes in mobile social networks

Yu Wang;Gao Cong;Guojie Song;Kunqing Xie.
knowledge discovery and data mining (2010)

581 Citations

Improving data quality: consistency and accuracy

Gao Cong;Wenfei Fan;Floris Geerts;Xibei Jia.
very large data bases (2007)

437 Citations

Mining significant semantic locations from GPS data

Xin Cao;Gao Cong;Christian S. Jensen.
very large data bases (2010)

394 Citations

Collective spatial keyword querying

Xin Cao;Gao Cong;Christian S. Jensen;Beng Chin Ooi.
international conference on management of data (2011)

387 Citations

Finding question-answer pairs from online forums

Gao Cong;Long Wang;Chin-Yew Lin;Young-In Song.
international acm sigir conference on research and development in information retrieval (2008)

323 Citations

Personalized ranking metric embedding for next new POI recommendation

Shanshan Feng;Xutao Li;Yifeng Zeng;Gao Cong.
international conference on artificial intelligence (2015)

316 Citations

Spatial keyword query processing: an experimental evaluation

Lisi Chen;Gao Cong;Christian S. Jensen;Dingming Wu.
very large data bases (2013)

308 Citations

Carpenter: finding closed patterns in long biological datasets

Feng Pan;Gao Cong;Anthony K. H. Tung;Jiong Yang.
knowledge discovery and data mining (2003)

304 Citations

Profile was last updated on December 6th, 2021.
Research.com Ranking is based on data retrieved from the Microsoft Academic Graph (MAG).
The ranking h-index is inferred from publications deemed to belong to the considered discipline.

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Top Scientists Citing Gao Cong

Xiaofang Zhou

Xiaofang Zhou

Hong Kong University of Science and Technology

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Lei Chen

Lei Chen

Hong Kong University of Science and Technology

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Jiawei Han

Jiawei Han

University of Illinois at Urbana-Champaign

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Wenfei Fan

Wenfei Fan

University of Edinburgh

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Kai Zheng

Kai Zheng

Huawei Technologies (China)

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Christian S. Jensen

Christian S. Jensen

Aalborg University

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Hongzhi Yin

Hongzhi Yin

University of Queensland

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Jianzhong Li

Jianzhong Li

Harbin Institute of Technology

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Philip S. Yu

Philip S. Yu

University of Illinois at Chicago

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Kian-Lee Tan

Kian-Lee Tan

National University of Singapore

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Xuemin Lin

Xuemin Lin

UNSW Sydney

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Aixin Sun

Aixin Sun

Nanyang Technological University

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Irwin King

Irwin King

Chinese University of Hong Kong

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Hui Xiong

Hui Xiong

Rutgers, The State University of New Jersey

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Jianliang Xu

Jianliang Xu

Hong Kong Baptist University

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