D-Index & Metrics Best Publications
Computer Science
South Korea
2023

D-Index & Metrics 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.

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 66 Citations 18,648 418 World Ranking 661 National Ranking 12
Computer Science D-index 66 Citations 18,807 439 World Ranking 1455 National Ranking 3

Research.com Recognitions

Awards & Achievements

2023 - Research.com Computer Science in South Korea Leader Award

2022 - Research.com Computer Science in South Korea Leader Award

2019 - IEEE Fellow For contributions to cross-layer design of wireless communications systems

Overview

What is he best known for?

The fields of study he is best known for:

  • Computer network
  • Telecommunications
  • Statistics

His main research concerns Computer network, Wireless, Wireless network, Cellular network and Cognitive radio. His Computer network research integrates issues from Throughput and Radio resource management. His Wireless research incorporates themes from Telecommunications network, Wireless sensor network, Transmission and Energy harvesting.

Wireless network is a subfield of Telecommunications that Dong In Kim investigates. His work deals with themes such as Femtocell, LTE Advanced, Mathematical optimization, Spectral efficiency and Heterogeneous network, which intersect with Cellular network. His Cognitive radio research includes themes of Radio frequency, Electronic engineering and Transmitter power output.

His most cited work include:

  • Wireless Networks With RF Energy Harvesting: A Contemporary Survey (1643 citations)
  • Wireless Charging Technologies: Fundamentals, Standards, and Network Applications (466 citations)
  • Interference management in OFDMA femtocell networks: issues and approaches (358 citations)

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

Dong In Kim focuses on Computer network, Wireless, Electronic engineering, Telecommunications link and Communication channel. Dong In Kim combines subjects such as Cognitive radio, Wireless network and Throughput with his study of Computer network. His Wireless research is multidisciplinary, relying on both Wireless sensor network, Energy harvesting, Transmission, Transmitter and Maximum power transfer theorem.

His Electronic engineering study also includes fields such as

  • Radio frequency that intertwine with fields like Communications system,
  • Algorithm which is related to area like Precoding. His Telecommunications link research is multidisciplinary, incorporating perspectives in Code division multiple access, Mathematical optimization, Interference and Beamforming. In his research on the topic of Communication channel, Node and MIMO is strongly related with Relay.

He most often published in these fields:

  • Computer network (41.41%)
  • Wireless (36.24%)
  • Electronic engineering (23.06%)

What were the highlights of his more recent work (between 2017-2021)?

  • Wireless (36.24%)
  • Computer network (41.41%)
  • Electronic engineering (23.06%)

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

His primary scientific interests are in Wireless, Computer network, Electronic engineering, Energy harvesting and Transmitter. He interconnects Wireless sensor network, Transmission, Electrical engineering, Radio frequency and Maximum power transfer theorem in the investigation of issues within Wireless. His study in Computer network is interdisciplinary in nature, drawing from both Cognitive radio, Wireless network, Enhanced Data Rates for GSM Evolution and Reinforcement learning.

Within one scientific family, Dong In Kim focuses on topics pertaining to Fading under Wireless network, and may sometimes address concerns connected to Mathematical optimization. Dong In Kim has included themes like Telecommunications network, Decoding methods, Backscatter, Communications system and Signal in his Electronic engineering study. His studies in Energy harvesting integrate themes in fields like Electronic circuit, Real-time computing and Nonlinear system.

Between 2017 and 2021, his most popular works were:

  • Applications of Deep Reinforcement Learning in Communications and Networking: A Survey (339 citations)
  • Ambient Backscatter Communications: A Contemporary Survey (281 citations)
  • Fundamentals of Wireless Information and Power Transfer: From RF Energy Harvester Models to Signal and System Designs (274 citations)

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

  • Computer network
  • Telecommunications
  • Wireless

Dong In Kim mostly deals with Wireless, Computer network, Transmission, Electronic engineering and Incentive. His Wireless research is multidisciplinary, incorporating elements of Transmitter, Radio frequency, Maximum power transfer theorem and Fading. His Computer network research includes elements of Cognitive radio, Wireless network, Relay and Reinforcement learning.

In his study, Radio propagation is inextricably linked to Network planning and design, which falls within the broad field of Wireless network. The various areas that Dong In Kim examines in his Transmission study include Interference, Communication channel, Spectral efficiency and Telecommunications link. His Electronic engineering study combines topics from a wide range of disciplines, such as Energy harvesting, Energy, Backscatter and Communications system.

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

Wireless Networks With RF Energy Harvesting: A Contemporary Survey

Xiao Lu;Ping Wang;Dusit Niyato;Dong In Kim.
IEEE Communications Surveys and Tutorials (2015)

2338 Citations

Applications of Deep Reinforcement Learning in Communications and Networking: A Survey

Nguyen Cong Luong;Dinh Thai Hoang;Shimin Gong;Dusit Niyato.
IEEE Communications Surveys and Tutorials (2019)

842 Citations

Wireless Charging Technologies: Fundamentals, Standards, and Network Applications

Xiao Lu;Ping Wang;Dusit Niyato;Dong In Kim.
IEEE Communications Surveys and Tutorials (2016)

820 Citations

A Survey on Consensus Mechanisms and Mining Strategy Management in Blockchain Networks

Wenbo Wang;Dinh Thai Hoang;Peizhao Hu;Zehui Xiong.
IEEE Access (2019)

670 Citations

Interference management in OFDMA femtocell networks: issues and approaches

N. Saquib;E. Hossain;Long Bao Le;Dong In Kim.
IEEE Wireless Communications (2012)

504 Citations

Ambient Backscatter Communications: A Contemporary Survey

Nguyen Van Huynh;Dinh Thai Hoang;Xiao Lu;Dusit Niyato.
IEEE Communications Surveys and Tutorials (2018)

457 Citations

Resource allocation for device-to-device communications underlaying LTE-advanced networks

P. Phunchongharn;E. Hossain;D. I. Kim.
IEEE Wireless Communications (2013)

456 Citations

Fundamentals of Wireless Information and Power Transfer: From RF Energy Harvester Models to Signal and System Designs

Bruno Clerckx;Rui Zhang;Robert Schober;Derrick Wing Kwan Ng.
IEEE Journal on Selected Areas in Communications (2019)

425 Citations

Toward Smart Wireless Communications via Intelligent Reflecting Surfaces: A Contemporary Survey

Shimin Gong;Xiao Lu;Dinh Thai Hoang;Dusit Niyato.
IEEE Communications Surveys and Tutorials (2020)

349 Citations

Joint rate and power allocation for cognitive radios in dynamic spectrum access environment

Dong In Kim;Long Bao Le;E. Hossain.
IEEE Transactions on Wireless Communications (2008)

335 Citations

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