H-Index & Metrics Top Publications

H-Index & Metrics

Discipline name H-index Citations Publications World Ranking National Ranking
Computer Science H-index 33 Citations 4,780 138 World Ranking 6867 National Ranking 54

Overview

What is he best known for?

The fields of study he is best known for:

  • Artificial intelligence
  • The Internet
  • Machine learning

Wen-Chih Peng mostly deals with Data mining, Mobile computing, Distributed computing, Scalability and Computer network. Wen-Chih Peng has included themes like Representation, Key and Cluster analysis in his Data mining study. In his study, Reduction and Replication is strongly linked to Wireless, which falls under the umbrella field of Mobile computing.

His Distributed computing research incorporates themes from Key distribution in wireless sensor networks, Wireless sensor network and Mobile database. His biological study spans a wide range of topics, including Maximization, Social network, Artificial intelligence, Machine learning and Community structure. His Inference and Collective intelligence study in the realm of Artificial intelligence connects with subjects such as Collaborative learning and Graph.

His most cited work include:

  • Constructing popular routes from uncertain trajectories (250 citations)
  • Efficient in-network moving object tracking in wireless sensor networks (214 citations)
  • Particle Swarm Optimization With Recombination and Dynamic Linkage Discovery (153 citations)

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

Wen-Chih Peng spends much of his time researching Data mining, Mobile computing, Cluster analysis, Artificial intelligence and Distributed computing. His Data mining research integrates issues from Scalability and Global Positioning System. His Scalability study combines topics in areas such as Maximization and Social network.

The concepts of his Mobile computing study are interwoven with issues in Server, Atomic broadcast and Mobile search. Wen-Chih Peng has researched Artificial intelligence in several fields, including Machine learning and Pattern recognition. His research investigates the connection with Distributed computing and areas like Wireless sensor network which intersect with concerns in Wireless network.

He most often published in these fields:

  • Data mining (48.03%)
  • Mobile computing (21.71%)
  • Cluster analysis (17.11%)

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

  • Data mining (48.03%)
  • Social network (8.55%)
  • Set (5.92%)

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

Wen-Chih Peng mainly investigates Data mining, Social network, Set, Machine learning and Artificial intelligence. In his papers, he integrates diverse fields, such as Data mining and Interval. His studies deal with areas such as Skyline, Reliability and Data science as well as Social network.

He combines subjects such as Iterative method, Scalability, Relation and Warning system with his study of Machine learning. His study in the field of Semi-supervised learning is also linked to topics like Health care, Health examination, Real-time bidding and Graph. His Maximization research is multidisciplinary, relying on both Key and Mobility model.

Between 2015 and 2020, his most popular works were:

  • Exploiting Centrality Information with Graph Convolutions for Network Representation Learning (24 citations)
  • Efficient Keyword-Aware Representative Travel Route Recommendation (20 citations)
  • Exploiting Viral Marketing for Location Promotion in Location-Based Social Networks (15 citations)

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

  • Artificial intelligence
  • The Internet
  • Machine learning

His scientific interests lie mostly in Data mining, Graph, Social network, Machine learning and Artificial intelligence. Wen-Chih Peng interconnects Representation and Maximization in the investigation of issues within Data mining. His Graph study spans across into areas like PageRank, Centrality, Theoretical computer science, Closeness and Betweenness centrality.

His research integrates issues of Key and Mobility model in his study of Social network. His studies in Machine learning integrate themes in fields like Iterative method and Warning system. His research in Artificial intelligence intersects with topics in Scalability and Relation.

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

Constructing popular routes from uncertain trajectories

Ling-Yin Wei;Yu Zheng;Wen-Chih Peng.
knowledge discovery and data mining (2012)

341 Citations

Efficient in-network moving object tracking in wireless sensor networks

Chih-Yu Lin;Wen-Chih Peng;Yu-Chee Tseng.
IEEE Transactions on Mobile Computing (2006)

337 Citations

Protecting Moving Trajectories with Dummies

Tun-Hao You;Wen-Chih Peng;Wang-Chien Lee.
mobile data management (2007)

228 Citations

Particle Swarm Optimization With Recombination and Dynamic Linkage Discovery

Ying-Ping Chen;Wen-Chih Peng;Ming-Chung Jian.
systems man and cybernetics (2007)

194 Citations

On Discovery of Traveling Companions from Streaming Trajectories

Lu-An Tang;Lu-An Tang;Yu Zheng;Jing Yuan;Jing Yuan;Jiawei Han.
international conference on data engineering (2012)

182 Citations

Clustering and aggregating clues of trajectories for mining trajectory patterns and routes

Chih-Chieh Hung;Wen-Chih Peng;Wang-Chien Lee.
very large data bases (2015)

146 Citations

Developing data allocation schemes by incremental mining of user moving patterns in a mobile computing system

Wen-Chih Peng;Ming-Syan Chen.
IEEE Transactions on Knowledge and Data Engineering (2003)

125 Citations

CIM: Community-Based Influence Maximization in Social Networks

Yi-Cheng Chen;Wen-Yuan Zhu;Wen-Chih Peng;Wang-Chien Lee.
ACM Transactions on Intelligent Systems and Technology (2014)

119 Citations

Using sensorranks for in-network detection of faulty readings in wireless sensor networks

Xiang-Yan Xiao;Wen-Chih Peng;Chih-Chieh Hung;Wang-Chien Lee.
data engineering for wireless and mobile access (2007)

112 Citations

Tru-Alarm: Trustworthiness Analysis of Sensor Networks in Cyber-Physical Systems

Lu-An Tang;Xiao Yu;Sangkyum Kim;Jiawei Han.
international conference on data mining (2010)

106 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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