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
Electronics and Electrical Engineering D-index 37 Citations 6,167 288 World Ranking 2199 National Ranking 248

Overview

What is he best known for?

The fields of study he is best known for:

  • Artificial intelligence
  • Telecommunications
  • Computer network

His primary areas of investigation include Mathematical optimization, MIMO, Beamforming, Telecommunications link and Precoding. His Mathematical optimization research is multidisciplinary, incorporating elements of Quality of service, Resource allocation and Efficient energy use. The various areas that Yongming Huang examines in his MIMO study include Algorithm, Scheduling, Spectral efficiency and Fading.

His Beamforming research integrates issues from Wireless, Transmitter power output and Base station. His Precoding study results in a more complete grasp of Communication channel. His studies deal with areas such as Communications system and Topology as well as Communication channel.

His most cited work include:

  • Millimeter Wave Communications for Future Mobile Networks (441 citations)
  • On Optimal Power Allocation for Downlink Non-Orthogonal Multiple Access Systems (178 citations)
  • Coordinated Beamforming for Energy Efficient Transmission in Multicell Multiuser Systems (155 citations)

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

Yongming Huang mainly investigates Telecommunications link, Communication channel, MIMO, Electronic engineering and Mathematical optimization. His work in Telecommunications link addresses subjects such as Base station, which are connected to disciplines such as Real-time computing and Distributed computing. In his study, which falls under the umbrella issue of Communication channel, Relay and Throughput is strongly linked to Computer network.

His research integrates issues of Algorithm, Channel state information and Control theory in his study of MIMO. His studies in Electronic engineering integrate themes in fields like Wireless, Transmission, Orthogonal frequency-division multiplexing, Communications system and Antenna. His Mathematical optimization study integrates concerns from other disciplines, such as Quality of service, Beamforming and Efficient energy use.

He most often published in these fields:

  • Telecommunications link (25.53%)
  • Communication channel (24.12%)
  • MIMO (22.48%)

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

  • Electronic engineering (21.31%)
  • Wireless (16.63%)
  • Beamforming (19.20%)

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

His main research concerns Electronic engineering, Wireless, Beamforming, Telecommunications link and Communication channel. Yongming Huang combines subjects such as Optimization problem and Enhanced Data Rates for GSM Evolution with his study of Beamforming. His Optimization problem study contributes to a more complete understanding of Mathematical optimization.

Yongming Huang interconnects Quality of service, Efficient energy use, Spectral efficiency and Base station in the investigation of issues within Telecommunications link. His Base station study frequently intersects with other fields, such as MIMO. His study in Communication channel is interdisciplinary in nature, drawing from both Interference and Transmission.

Between 2019 and 2021, his most popular works were:

  • BlendMask: Top-Down Meets Bottom-Up for Instance Segmentation (53 citations)
  • Towards 6G wireless communication networks: vision, enabling technologies, and new paradigm shifts (46 citations)
  • Power Efficient IRS-Assisted NOMA (22 citations)

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

  • Artificial intelligence
  • Telecommunications
  • Computer network

His primary scientific interests are in Wireless, Distributed computing, Beam, Artificial intelligence and Beamforming. He has researched Wireless in several fields, including Network architecture and Energy consumption, Mobile edge computing. His Distributed computing research includes themes of Scheduling, Base station and Reinforcement learning.

The concepts of his Beam study are interwoven with issues in Extremely high frequency and Electronic engineering. His Beamforming research incorporates elements of Optimization problem, Mathematical optimization and Noma, Telecommunications link. The study incorporates disciplines such as Transmission, Communication channel, Algorithm, Decoding methods and Dirty paper coding in addition to Noma.

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

Millimeter Wave Communications for Future Mobile Networks

Ming Xiao;Shahid Mumtaz;Yongming Huang;Linglong Dai.
IEEE Journal on Selected Areas in Communications (2017)

593 Citations

On Optimal Power Allocation for Downlink Non-Orthogonal Multiple Access Systems

Jianyue Zhu;Jiaheng Wang;Yongming Huang;Shiwen He.
IEEE Journal on Selected Areas in Communications (2017)

213 Citations

Coordinated Beamforming for Energy Efficient Transmission in Multicell Multiuser Systems

Shiwen He;Yongming Huang;Shi Jin;Luxi Yang.
IEEE Transactions on Communications (2013)

191 Citations

Distributed Multicell Beamforming With Limited Intercell Coordination

Yongming Huang;Gan Zheng;M Bengtsson;Kai-Kit Wong.
IEEE Transactions on Signal Processing (2011)

169 Citations

Coordinated Multicell Multiuser Precoding for Maximizing Weighted Sum Energy Efficiency

Shiwen He;Yongming Huang;Luxi Yang;Bjorn Ottersten.
IEEE Transactions on Signal Processing (2014)

154 Citations

Performance Analysis of Multi-Antenna Hybrid Satellite-Terrestrial Relay Networks in the Presence of Interference

Kang An;Min Lin;Tao Liang;Jun-Bo Wang.
IEEE Transactions on Communications (2015)

131 Citations

Codebook-Based Hybrid Precoding for Millimeter Wave Multiuser Systems

Shiwen He;Jiaheng Wang;Yongming Huang;Bjorn Ottersten.
IEEE Transactions on Signal Processing (2017)

119 Citations

Outage Performance of Cognitive Hybrid Satellite–Terrestrial Networks With Interference Constraint

Kang An;Min Lin;Wei-Ping Zhu;Yongming Huang.
IEEE Transactions on Vehicular Technology (2016)

117 Citations

On Massive MIMO Zero-Forcing Transceiver Using Time-Shifted Pilots

Shi Jin;Xiaoyu Wang;Zheng Li;Kai-Kit Wong.
IEEE Transactions on Vehicular Technology (2016)

101 Citations

Pilot Design Schemes for Sparse Channel Estimation in OFDM Systems

Chenhao Qi;Guosen Yue;Lenan Wu;Yongming Huang.
IEEE Transactions on Vehicular Technology (2015)

96 Citations

Best Scientists Citing Yongming Huang

Shi Jin

Shi Jin

Southeast University

Publications: 37

Bjorn Ottersten

Bjorn Ottersten

University of Luxembourg

Publications: 36

Symeon Chatzinotas

Symeon Chatzinotas

University of Luxembourg

Publications: 35

Lajos Hanzo

Lajos Hanzo

University of Southampton

Publications: 30

Xiqi Gao

Xiqi Gao

Southeast University

Publications: 28

Luxi Yang

Luxi Yang

Southeast University

Publications: 27

Wei-Ping Zhu

Wei-Ping Zhu

Concordia University

Publications: 27

Cunhua Pan

Cunhua Pan

Queen Mary University of London

Publications: 22

Kai-Kit Wong

Kai-Kit Wong

University College London

Publications: 21

Feifei Gao

Feifei Gao

Tsinghua University

Publications: 21

Markku Juntti

Markku Juntti

University of Oulu

Publications: 21

Derrick Wing Kwan Ng

Derrick Wing Kwan Ng

UNSW Sydney

Publications: 21

Xiaohu You

Xiaohu You

Southeast University

Publications: 20

H. Vincent Poor

H. Vincent Poor

Princeton University

Publications: 20

Zhiguo Ding

Zhiguo Ding

University of Manchester

Publications: 20

Chunxiao Jiang

Chunxiao Jiang

Tsinghua University

Publications: 18

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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