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researcher

H. Poor

511 papers hereh-index 14194.7k citations1.8k works total

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • first author1
  • middle author131
  • last author363

Across the 495 of 511 papers where every author was matched, so the position is known.

fields
  • cs.IT356
  • eess.SP37
  • cs.LG34
  • cs.NI14
  • eess.SY13
  • math.OC12
same name
  • H. Poor — 53 papers, h 27
  • H. Poor — 52 papers, h 41
  • H. Poor — 16 papers, h 37
  • H. Poor — 6 papers, h 11
  • H. Poor — 5 papers, h 9
  • H. Poor — 4 papers, h 2

Either other researchers who publish under this name, or the same person where the external sources have not merged their records.

identity via Semantic Scholar / OpenAlex

activity
20052023
most cited6G Internet of Things: A Comprehensive Survey

1.4k citations · 18.4k across the 482 of their papers we have counts for

collaborators
Showing 2018 · eess.SYShow all

4 papers · 2 filters

eess.SY2018★ 4 cited

Protecting the Grid against IoT Botnets of High-Wattage Devices

Saleh Soltan, Prateek Mittal, H. Vincent Poor

We provide methods to prevent line failures in the power grid caused by a newly revealed MAnipulation of Demand (MAD) attacks via an IoT botnet of high-wattage devices. In particul…

eess.SY2018

PMU Placement Optimization for Smart Grid Obvervability and State Estimation

Y. Shi, H. D. Tuan, A. A. Nasir +2

In this paper, phasor measurement unit (PMU) placement for power grid state estimation under different degrees of observability is studied. Observability degree is the depth of the…

eess.SY2018

Bang-Bang Charging of Electrical Vehicles by Smart Grid Technology

Y. Shi, H. D. Tuan, T. Q. Duong +2

The success of the transportation electricification in this century particularly requires the penentration of the internet of plug-in electric vehicles (PEVs) into the smart power…

eess.SY2018★ 32 cited

Reinforcement Learning-based Energy Trading for Microgrids

Liang Xiao, Xingyu Xiao, Canhuang Dai +3

With the time-varying renewable energy generation and power demand, microgrids (MGs) exchange energy in smart grids to reduce their dependence on power plants. In this paper, we fo…

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Not affiliated with arXiv. Researcher data from Semantic Scholar (ODC-BY) and OpenAlex.