H-Index & Metrics Best Publications

H-Index & Metrics

Discipline name H-index Citations Publications World Ranking National Ranking
Computer Science D-index 68 Citations 23,213 345 World Ranking 929 National Ranking 557
Electronics and Electrical Engineering D-index 65 Citations 23,966 344 World Ranking 400 National Ranking 208

Overview

What is he best known for?

The fields of study he is best known for:

  • Statistics
  • Computer network
  • Artificial intelligence

Lang Tong mainly investigates Communication channel, Computer network, Algorithm, Signal processing and Wireless sensor network. His Communication channel research is multidisciplinary, relying on both Wireless, Mathematical optimization, Transmission and Markov process. Lang Tong combines subjects such as Distributed computing, Wireless network and Aloha, Throughput with his study of Computer network.

His Algorithm research includes themes of Detector, Identification, System identification and Control theory. His Identification study integrates concerns from other disciplines, such as Speech recognition, Identifiability and Blind equalization. The various areas that Lang Tong examines in his Wireless sensor network study include Efficient energy use, Dynamic Source Routing, Node, Channel state information and Topology.

His most cited work include:

  • Decentralized cognitive MAC for opportunistic spectrum access in ad hoc networks: A POMDP framework (1544 citations)
  • Blind identification and equalization based on second-order statistics: a time domain approach (1028 citations)
  • A least-squares approach to blind channel identification (698 citations)

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

His primary scientific interests are in Algorithm, Communication channel, Computer network, Mathematical optimization and Wireless sensor network. His Algorithm study also includes

  • Estimator that connect with fields like Mean squared error,
  • Signal processing and related Identification. His research in Communication channel intersects with topics in Transmission, Code division multiple access, Electronic engineering and Markov process.

His research on Computer network also deals with topics like

  • Throughput which connect with Physical layer,
  • Distributed computing together with Wireless ad hoc network. His Mathematical optimization research is multidisciplinary, incorporating elements of Economic dispatch, Electric power system, Probabilistic logic, Scheduling and Demand response. Lang Tong focuses mostly in the field of Wireless sensor network, narrowing it down to topics relating to Real-time computing and, in certain cases, Detector.

He most often published in these fields:

  • Algorithm (26.39%)
  • Communication channel (25.09%)
  • Computer network (20.26%)

What were the highlights of his more recent work (between 2014-2021)?

  • Mathematical optimization (20.07%)
  • Electric power system (6.13%)
  • Microeconomics (3.35%)

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

Mathematical optimization, Electric power system, Microeconomics, Scheduling and Economic dispatch are his primary areas of study. His Mathematical optimization study combines topics from a wide range of disciplines, such as Electricity market, Probabilistic logic, Markov decision process, Dynamic priority scheduling and Computation. Markov decision process is a subfield of Markov process that he investigates.

His Electric power system research incorporates elements of Estimator, Boundary and Control theory, Robustness. As a part of the same scientific study, he usually deals with the Scheduling, concentrating on Scheduling and frequently concerns with Stochastic optimization. His studies deal with areas such as Missing data, Algorithm, State, Deep learning and Bayesian probability as well as Unobservable.

Between 2014 and 2021, his most popular works were:

  • Subspace Methods for Data Attack on State Estimation: A Data Driven Approach (109 citations)
  • Dynamic Pricing and Distributed Energy Management for Demand Response (100 citations)
  • The Market for Electric Vehicles: Indirect Network Effects and Policy Design (57 citations)

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

  • Statistics
  • Computer network
  • Artificial intelligence

His main research concerns Mathematical optimization, Scheduling, Electric power system, Profit and Artificial intelligence. The Mathematical optimization study combines topics in areas such as Stochastic process, Two-level scheduling, Earliest deadline first scheduling, Probabilistic logic and Job shop scheduling. His work carried out in the field of Electric power system brings together such families of science as Statistical hypothesis testing, Control theory, Convergence, Boundary and Voltage.

His Profit research includes elements of Power dispatch, Real-time computing and Renewable energy. His Artificial intelligence research integrates issues from Mean squared error, Algorithm and Monte Carlo method. Lang Tong works on Algorithm which deals in particular with State.

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

Decentralized cognitive MAC for opportunistic spectrum access in ad hoc networks: A POMDP framework

Qing Zhao;Lang Tong;Ananthram Swami;Yunxia Chen.
IEEE Journal on Selected Areas in Communications (2007)

2010 Citations

Blind identification and equalization based on second-order statistics: a time domain approach

Lang Tong;Guanghan Xu;T. Kailath.
IEEE Transactions on Information Theory (1994)

1407 Citations

A least-squares approach to blind channel identification

Guanghan Xu;Hui Liu;Lang Tong;T. Kailath.
IEEE Transactions on Signal Processing (1995)

1012 Citations

Indeterminacy and identifiability of blind identification

L. Tong;R.-w. Liu;V.C. Soon;Y.-F. Huang.
IEEE Transactions on Circuits and Systems (1991)

969 Citations

Multichannel blind identification: from subspace to maximum likelihood methods

Lang Tong;S. Perreau.
Proceedings of the IEEE (1998)

758 Citations

Malicious Data Attacks on the Smart Grid

O. Kosut;Liyan Jia;R. J. Thomas;Lang Tong.
IEEE Transactions on Smart Grid (2011)

673 Citations

COGNITIVE RADIOS FOR DYNAMIC SPECTRUM ACCESS - Dynamic Spectrum Access in the Time Domain: Modeling and Exploiting White Space

S. Geirhofer;Lang Tong;B.M. Sadler.
IEEE Communications Magazine (2007)

665 Citations

A new approach to blind identification and equalization of multipath channels

L. Tong;G. Xu;T. Kailath.
asilomar conference on signals, systems and computers (1991)

633 Citations

Pilot-assisted wireless transmissions: general model, design criteria, and signal processing

Lang Tong;B.M. Sadler;Min Dong.
IEEE Signal Processing Magazine (2004)

547 Citations

Dynamic Spectrum Access in the Time Domain: Modeling and Exploiting White Space

Stefan Geirhofer;Lang Tong;Brian M. Sadler.
IEEE Communications Magazine (2007)

504 Citations

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Best Scientists Citing Lang Tong

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Arizona State University

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Ananthram Swami

United States Army Research Laboratory

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