D-Index & Metrics Best Publications

D-Index & Metrics

Discipline name D-index D-index (Discipline H-index) only includes papers and citation values for an examined discipline in contrast to General H-index which accounts for publications across all disciplines. Citations Publications World Ranking National Ranking
Computer Science D-index 60 Citations 70,127 263 World Ranking 1574 National Ranking 148

Overview

What is he best known for?

The fields of study he is best known for:

  • Computer network
  • Artificial intelligence
  • Operating system

Kai Chen focuses on Computer network, Distributed computing, Testbed, Data center and Artificial intelligence. His Computer network research incorporates elements of Cloud computing and Visual sensor network. The Distributed computing study combines topics in areas such as Autonomous system, Throughput, Byte and Backward compatibility.

His Testbed research integrates issues from Scheduling, Dynamic priority scheduling, Two-level scheduling, Priority queue and Load balancing. His work carried out in the field of Data center brings together such families of science as Computer architecture, Topology, Optical switch, Queue and Flexibility. His Artificial intelligence research includes themes of Machine learning and Pattern recognition.

His most cited work include:

  • Collaborative filtering and deep learning based recommendation system for cold start items (271 citations)
  • OSA: an optical switching architecture for data center networks with unprecedented flexibility (256 citations)
  • A LSTM-based method for stock returns prediction: A case study of China stock market (181 citations)

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

His scientific interests lie mostly in Computer network, Artificial intelligence, Distributed computing, Testbed and Pattern recognition. Computer network is closely attributed to Cloud computing in his study. Kai Chen has included themes like Machine learning and Computer vision in his Artificial intelligence study.

His Distributed computing research is multidisciplinary, incorporating elements of Scheduling and Scalability. His Testbed research incorporates elements of Queue, Latency and Real-time computing. His research in Pattern recognition intersects with topics in Artificial neural network and Feature.

He most often published in these fields:

  • Computer network (35.05%)
  • Artificial intelligence (27.57%)
  • Distributed computing (19.63%)

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

  • Artificial intelligence (27.57%)
  • Computer network (35.05%)
  • Machine learning (7.94%)

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

Kai Chen spends much of his time researching Artificial intelligence, Computer network, Machine learning, Deep learning and Testbed. His Artificial intelligence study combines topics in areas such as Speedup, Computer vision and Pattern recognition. His Machine learning research incorporates themes from Divergence, Robustness and Federated learning.

His Deep learning research is multidisciplinary, relying on both Artificial neural network, Field and Rotation. His Testbed research includes themes of Flow network, Sketch, Network monitoring, Reduction and Load balancing. His Network packet research integrates issues from Exploit, Data center and Application layer.

Between 2019 and 2021, his most popular works were:

  • Enhanced Object Detection With Deep Convolutional Neural Networks for Advanced Driving Assistance (24 citations)
  • Secure Federated Matrix Factorization (12 citations)
  • Modulating Energy Level on an A‐D‐A′‐D‐A‐Type Unfused Acceptor by a Benzothiadiazole Core Enables Organic Solar Cells with Simple Procedure and High Performance (11 citations)

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

  • Computer network
  • Operating system
  • Artificial intelligence

His primary areas of investigation include Computer network, Acceptor, Core, Optoelectronics and Simple. His Packet loss and Network packet study are his primary interests in Computer network. The study incorporates disciplines such as Testbed, Block, Latency and Throughput in addition to Packet loss.

His work carried out in the field of Network packet brings together such families of science as Exploit, Handshaking, Latency and Data transmission. In his work, Kai Chen performs multidisciplinary research in Transport layer and Data center. Kai Chen combines topics linked to Application layer with his work on Data center.

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.

Best Publications

OSA: an optical switching architecture for data center networks with unprecedented flexibility

Kai Chen;Ankit Singla;Atul Singh;Kishore Ramachandran.
IEEE ACM Transactions on Networking (2014)

449 Citations

OSA: an optical switching architecture for data center networks with unprecedented flexibility

Kai Chen;Ankit Singlay;Atul Singhz;Kishore Ramachandranz.
networked systems design and implementation (2012)

443 Citations

Collaborative filtering and deep learning based recommendation system for cold start items

Jian Wei;Jianhua He;Kai Chen;Yi Zhou.
Expert Systems With Applications (2017)

398 Citations

A LSTM-based method for stock returns prediction: A case study of China stock market

Kai Chen;Yi Zhou;Fangyan Dai.
international conference on big data (2015)

272 Citations

Information-agnostic flow scheduling for commodity data centers

Wei Bai;Li Chen;Kai Chen;Dongsu Han.
networked systems design and implementation (2015)

246 Citations

Rapier: Integrating routing and scheduling for coflow-aware data center networks

Yangming Zhao;Kai Chen;Wei Bai;Minlan Yu.
international conference on computer communications (2015)

165 Citations

Where the sidewalk ends: extending the internet as graph using traceroutes from P2P users

Kai Chen;David R. Choffnes;Rahul Potharaju;Yan Chen.
conference on emerging network experiment and technology (2009)

159 Citations

Semantic anchoring with model transformations

Kai Chen;Janos Sztipanovits;Sherif Abdelwalhed;Ethan Jackson.
european conference on model driven architecture foundations and applications (2005)

156 Citations

Guaranteeing Deadlines for Inter-Data Center Transfers

Hong Zhang;Kai Chen;Wei Bai;Dongsu Han.
IEEE ACM Transactions on Networking (2017)

150 Citations

Guaranteeing deadlines for inter-datacenter transfers

Hong Zhang;Kai Chen;Wei Bai;Dongsu Han.
european conference on computer systems (2015)

149 Citations

Best Scientists Citing Kai Chen

Stefan Schmid

Stefan Schmid

University of Vienna

Publications: 26

Jianxin Wang

Jianxin Wang

Central South University

Publications: 25

Lianwen Jin

Lianwen Jin

South China University of Technology

Publications: 22

Jun Du

Jun Du

University of Science and Technology of China

Publications: 19

Keqiu Li

Keqiu Li

Tianjin University

Publications: 18

Dong Yu

Dong Yu

Tencent (China)

Publications: 17

Janos Sztipanovits

Janos Sztipanovits

Vanderbilt University

Publications: 15

Amin Vahdat

Amin Vahdat

Google (United States)

Publications: 14

Mohammad Alizadeh

Mohammad Alizadeh

MIT

Publications: 13

Lena Wosinska

Lena Wosinska

Chalmers University of Technology

Publications: 12

Walter Willinger

Walter Willinger

NIKSUN, Inc.

Publications: 12

Torsten Hoefler

Torsten Hoefler

ETH Zurich

Publications: 12

Guihai Chen

Guihai Chen

Nanjing University

Publications: 12

Cheng-Lin Liu

Cheng-Lin Liu

Chinese Academy of Sciences

Publications: 11

Yong Cui

Yong Cui

Tsinghua University

Publications: 11

Tian He

Tian He

University of Minnesota

Publications: 11

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

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