H-Index & Metrics Top Publications

H-Index & Metrics

Discipline name H-index Citations Publications World Ranking National Ranking
Computer Science H-index 72 Citations 18,086 466 World Ranking 704 National Ranking 58

Research.com Recognitions

Awards & Achievements

2020 - IEEE Fellow For contributions to time series management and spatial crowdsourcing

2018 - ACM Distinguished Member

Overview

What is he best known for?

The fields of study he is best known for:

  • Artificial intelligence
  • Operating system
  • Machine learning

Lei Chen mainly focuses on Data mining, Crowdsourcing, Artificial intelligence, Uncertain data and Pruning. His Data mining research incorporates elements of Query expansion, Graph, Web query classification and Graph. In his study, which falls under the umbrella issue of Crowdsourcing, Competitive analysis is strongly linked to Greedy algorithm.

In Artificial intelligence, Lei Chen works on issues like Machine learning, which are connected to Online algorithm. His study in Uncertain data is interdisciplinary in nature, drawing from both Probabilistic logic, Tuple and Database. His work in Pruning covers topics such as Metric which are related to areas like Euclidean distance, Edit distance and Algorithm.

His most cited work include:

  • Robust and fast similarity search for moving object trajectories (905 citations)
  • On the marriage of Lp-norms and edit distance (573 citations)
  • Light converting inorganic phosphors for white light-emitting diodes (374 citations)

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

Lei Chen spends much of his time researching Data mining, Artificial intelligence, Theoretical computer science, Crowdsourcing and Graph. His research in Data mining intersects with topics in Probabilistic logic, Database and Pruning. Lei Chen has researched Artificial intelligence in several fields, including Machine learning and Pattern recognition.

Many of his studies on Crowdsourcing involve topics that are commonly interrelated, such as Data science. Graph and Graph are frequently intertwined in his study. His research integrates issues of Query expansion, Web query classification and Sargable in his study of Query optimization.

He most often published in these fields:

  • Data mining (17.77%)
  • Artificial intelligence (12.13%)
  • Theoretical computer science (11.28%)

What were the highlights of his more recent work (between 2019-2021)?

  • Theoretical computer science (11.28%)
  • Artificial intelligence (12.13%)
  • Crowdsourcing (8.94%)

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

Theoretical computer science, Artificial intelligence, Crowdsourcing, Machine learning and Algorithm are his primary areas of study. He combines subjects such as Scalability, Graph, Power graph analysis, Core and Node with his study of Theoretical computer science. He is interested in SimRank, which is a field of Graph.

His work in Artificial intelligence is not limited to one particular discipline; it also encompasses Pattern recognition. He interconnects Matching, Task analysis and Competitive analysis in the investigation of issues within Crowdsourcing. Within one scientific family, Lei Chen focuses on topics pertaining to Embedding under Algorithm, and may sometimes address concerns connected to Knowledge graph.

Between 2019 and 2021, his most popular works were:

  • Perinatal depressive and anxiety symptoms of pregnant women during the coronavirus disease 2019 outbreak in China. (115 citations)
  • Spatial crowdsourcing: a survey (33 citations)
  • Dynamic Connection-Based Social Group Recommendation (20 citations)

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

  • Artificial intelligence
  • Operating system
  • Machine learning

The scientist’s investigation covers issues in Theoretical computer science, Artificial intelligence, Crowdsourcing, Machine learning and Algorithm. The concepts of his Theoretical computer science study are interwoven with issues in Permutation, Image, Encryption, Heterogeneous network and Node. His Entropy study in the realm of Artificial intelligence connects with subjects such as Gestational diabetes.

His Crowdsourcing research incorporates elements of Task analysis, Greedy algorithm, Competitive analysis and Task. His work carried out in the field of Machine learning brings together such families of science as Distillation and Graph. Lei Chen studied Algorithm and Autoregressive integrated moving average that intersect with Embedding.

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

Robust and fast similarity search for moving object trajectories

Lei Chen;M. Tamer Özsu;Vincent Oria.
international conference on management of data (2005)

1312 Citations

On the marriage of Lp-norms and edit distance

Lei Chen;Raymond Ng.
very large data bases (2004)

923 Citations

k-automorphism: a general framework for privacy preserving network publication

Lei Zou;Lei Chen;M. Tamer Özsu.
very large data bases (2009)

474 Citations

Light converting inorganic phosphors for white light-emitting diodes

Lei Chen;Lei Chen;Chun Che Lin;Chiao Wen Yeh;Ru Shi Liu.
Materials (2010)

438 Citations

Exosomal transfer of tumor-associated macrophage-derived miR-21 confers cisplatin resistance in gastric cancer cells

Peiming Zheng;Lei Chen;Xiangliang Yuan;Qin Luo.
Journal of Experimental & Clinical Cancer Research (2017)

301 Citations

Traffic prediction in a bike-sharing system

Yexin Li;Yu Zheng;Huichu Zhang;Lei Chen.
advances in geographic information systems (2015)

285 Citations

Monochromatic and bichromatic reverse skyline search over uncertain databases

Xiang Lian;Lei Chen.
international conference on management of data (2008)

281 Citations

gStore: answering SPARQL queries via subgraph matching

Lei Zou;Jinghui Mo;Lei Chen;M. Tamer Özsu.
very large data bases (2011)

276 Citations

Mining Frequent Trajectory Patterns for Activity Monitoring Using Radio Frequency Tag Arrays

Yunhao Liu;Yiyang Zhao;Lei Chen;Jian Pei.
IEEE Transactions on Parallel and Distributed Systems (2012)

255 Citations

Event detection over twitter social media streams

Xiangmin Zhou;Lei Chen.
very large data bases (2014)

254 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 Lei Chen

Xiaofang Zhou

Xiaofang Zhou

Hong Kong University of Science and Technology

Publications: 77

Xuemin Lin

Xuemin Lin

UNSW Sydney

Publications: 69

Jianzhong Li

Jianzhong Li

Harbin Institute of Technology

Publications: 56

Jeffrey Xu Yu

Jeffrey Xu Yu

Chinese University of Hong Kong

Publications: 52

Kai Zheng

Kai Zheng

Huawei Technologies (China)

Publications: 48

Philip S. Yu

Philip S. Yu

University of Illinois at Chicago

Publications: 48

Wenjie Zhang

Wenjie Zhang

UNSW Sydney

Publications: 47

Ying Zhang

Ying Zhang

University of Technology Sydney

Publications: 46

Christian S. Jensen

Christian S. Jensen

Aalborg University

Publications: 42

Reynold Cheng

Reynold Cheng

University of Hong Kong

Publications: 40

Yunhao Liu

Yunhao Liu

Tsinghua University

Publications: 38

Lionel M. Ni

Lionel M. Ni

Hong Kong University of Science and Technology

Publications: 38

Yu Zheng

Yu Zheng

Jingdong (China)

Publications: 34

Kuei-Hsien Chen

Kuei-Hsien Chen

Academia Sinica

Publications: 31

Baihua Zheng

Baihua Zheng

Singapore Management University

Publications: 31

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