H-Index & Metrics Top Publications

H-Index & Metrics

Discipline name H-index Citations Publications World Ranking National Ranking
Computer Science H-index 82 Citations 35,846 176 World Ranking 390 National Ranking 32

Research.com Recognitions

Awards & Achievements

2016 - ACM Distinguished Member

2011 - ACM Senior Member

Overview

What is he best known for?

The fields of study he is best known for:

  • Artificial intelligence
  • Machine learning
  • The Internet

The scientist’s investigation covers issues in Global Positioning System, Data mining, Beijing, World Wide Web and Graph. His Global Positioning System research is multidisciplinary, relying on both Service, Ubiquitous computing, Simulation, Variety and Geographic information system. In his work, Cluster analysis, Taxis, Scalability and Mobile computing is strongly intertwined with Real-time computing, which is a subfield of Simulation.

His study looks at the relationship between Data mining and topics such as Machine learning, which overlap with Web application. Yu Zheng specializes in World Wide Web, namely Collaborative filtering. His biological study spans a wide range of topics, including Geospatial analysis, Location-based service and Social network.

His most cited work include:

  • Mining interesting locations and travel sequences from GPS trajectories (1426 citations)
  • Trajectory Data Mining: An Overview (891 citations)
  • Urban Computing: Concepts, Methodologies, and Applications (833 citations)

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

Yu Zheng focuses on Data mining, Global Positioning System, Urban computing, World Wide Web and Information retrieval. His work on Big data as part of general Data mining research is often related to Beijing, thus linking different fields of science. The Global Positioning System study combines topics in areas such as Collaborative filtering, Focus, Simulation and Service.

His Simulation research integrates issues from Taxis, Transport engineering and Real-time computing. His studies in Urban computing integrate themes in fields like Data management and Data science. In his study, Topic model is strongly linked to Point of interest, which falls under the umbrella field of Information retrieval.

He most often published in these fields:

  • Data mining (47.34%)
  • Global Positioning System (27.22%)
  • Urban computing (13.61%)

What were the highlights of his more recent work (between 2015-2020)?

  • Data mining (47.34%)
  • Urban computing (13.61%)
  • Artificial intelligence (10.06%)

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

Yu Zheng spends much of his time researching Data mining, Urban computing, Artificial intelligence, Quality and Machine learning. His study in the field of Big data is also linked to topics like Beijing. He has included themes like Ubiquitous computing, Real-time computing, Data management and Data science in his Urban computing study.

His research in Data management tackles topics such as Profiling which are related to areas like Global Positioning System. His work on Deep learning as part of his general Artificial intelligence study is frequently connected to Urbanization and Series, thereby bridging the divide between different branches of science. His study in the fields of Time series and Collaborative filtering under the domain of Machine learning overlaps with other disciplines such as Inverse distance weighting and Statistic.

Between 2015 and 2020, his most popular works were:

  • Deep Spatio-Temporal Residual Networks for Citywide Crowd Flows Prediction (418 citations)
  • DNN-based prediction model for spatio-temporal data (224 citations)
  • Urban water quality prediction based on multi-task multi-view learning (173 citations)

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

  • Artificial intelligence
  • Machine learning
  • The Internet

His primary areas of study are Data mining, Simulation, Task, Crowds and Residual. Borrowing concepts from Closeness, Yu Zheng weaves in ideas under Data mining. His Simulation study combines topics from a wide range of disciplines, such as Key and Transport engineering, Traffic congestion.

His studies deal with areas such as Scalability, Aggregate and Missing data as well as Crowds. His Aggregate study combines topics in areas such as Artificial neural network, Outflow and Task. The various areas that he examines in his Residual study include Exploit, Partition and Big data.

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

Mining interesting locations and travel sequences from GPS trajectories

Yu Zheng;Lizhu Zhang;Xing Xie;Wei-Ying Ma.
the web conference (2009)

1932 Citations

Urban Computing: Concepts, Methodologies, and Applications

Yu Zheng;Licia Capra;Ouri Wolfson;Hai Yang.
ACM Transactions on Intelligent Systems and Technology (2014)

1084 Citations

Trajectory Data Mining: An Overview

Yu Zheng.
ACM Transactions on Intelligent Systems and Technology (2015)

1083 Citations

Understanding mobility based on GPS data

Yu Zheng;Quannan Li;Yukun Chen;Xing Xie.
ubiquitous computing (2008)

1008 Citations

GeoLife: A Collaborative Social Networking Service among User, Location and Trajectory.

Yu Zheng;Xing Xie;Wei-Ying Ma.
IEEE Data(base) Engineering Bulletin (2010)

960 Citations

Discovering regions of different functions in a city using human mobility and POIs

Jing Yuan;Yu Zheng;Xing Xie.
knowledge discovery and data mining (2012)

939 Citations

T-drive: driving directions based on taxi trajectories

Jing Yuan;Yu Zheng;Chengyang Zhang;Wenlei Xie.
advances in geographic information systems (2010)

931 Citations

Map-matching for low-sampling-rate GPS trajectories

Yin Lou;Chengyang Zhang;Yu Zheng;Xing Xie.
advances in geographic information systems (2009)

768 Citations

Collaborative location and activity recommendations with GPS history data

Vincent W. Zheng;Yu Zheng;Xing Xie;Qiang Yang.
the web conference (2010)

753 Citations

Location-based and preference-aware recommendation using sparse geo-social networking data

Jie Bao;Yu Zheng;Mohamed F. Mokbel.
advances in geographic information systems (2012)

730 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 Yu Zheng

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Northwestern Polytechnical University

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Rutgers, The State University of New Jersey

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Hong Kong University of Science and Technology

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Aalborg University

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University of Illinois at Urbana-Champaign

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Microsoft (United States)

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Philip S. Yu

Philip S. Yu

University of Illinois at Chicago

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University of Tokyo

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Tsinghua University

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Shanghai Jiao Tong University

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National Yang Ming Chiao Tung University

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Pennsylvania State University

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