World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
33
Citations
6069
World Ranking
12501
National Ranking
163

Overview

Hojung Cha is affiliated with Yonsei University in South Korea and has a substantial body of research in the fields of engineering and computer science, with a particular focus on electrical and electronic engineering and automotive engineering.

Their research covers a range of topics centered around energy technologies and wireless networks. Key topics in their work include:

  • Advanced Battery Technologies Research
  • Energy Harvesting in Wireless Networks
  • Green IT and Sustainability
  • Electric Vehicles and Infrastructure
  • Caching and Content Delivery
  • Supercapacitor Materials and Fabrication
  • Advancements in Battery Materials

Hojung Cha has coauthored multiple papers with a number of collaborators, reflecting an active research network. Frequent coauthors include:

  • Junick Ahn
  • Jiwon Kim
  • Seunghyeok Jeon
  • Daeyong Kim
  • Rhan Ha

The primary publication venues for their work indicate an emphasis on circuit design, embedded systems, and mobile computing. Frequent venues are:

  • IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems
  • ACM Transactions on Embedded Computing Systems
  • IEEE Internet of Things Journal
  • IEEE Transactions on Mobile Computing
  • Pervasive and Mobile Computing

Significant recent papers authored or coauthored by Hojung Cha include:

  • "Optrone: Maximizing Performance and Energy Resources of Drone Batteries," 2020, IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems
  • "Optimizing Energy Consumption of Mobile Games," 2021, IEEE Transactions on Mobile Computing
  • "State-of-Charge Estimation of Supercapacitors in Transiently-Powered Sensor Nodes," 2021, IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems
  • "Detecting Structural Anomalies of Quadcopter UAVs Based on LSTM Autoencoder," 2022, Pervasive and Mobile Computing
  • "Optimizing Discharge Efficiency of Reconfigurable Battery With Deep Reinforcement Learning," 2020, IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems

Their research spans engineering disciplines with contributions primarily focused on energy systems for mobile and autonomous devices, battery optimization, and sensor technologies. The research also integrates elements of deep learning techniques applied to energy efficiency and battery management.

Best Publications

  • AppScope: application energy metering framework for android smartphones using kernel activity monitoring

    Chanmin Yoon;Dongwon Kim;Wonwoo Jung;Chulkoo Kang

  • LifeMap: A Smartphone-Based Context Provider for Location-Based Services

    John Chon;Hojung Cha

  • Automatically characterizing places with opportunistic crowdsensing using smartphones

    Yohan Chon;Nicholas D. Lane;Fan Li;Hojung Cha

  • Y-MAC: An Energy-Efficient Multi-channel MAC Protocol for Dense Wireless Sensor Networks

    Youngmin Kim;Hyojeong Shin;Hojung Cha

  • Unsupervised Construction of an Indoor Floor Plan Using a Smartphone

    Hyojeong Shin;Yohan Chon;Hojung Cha

  • Piggyback CrowdSensing (PCS): energy efficient crowdsourcing of mobile sensor data by exploiting smartphone app opportunities

    Nicholas D. Lane;Yohan Chon;Lin Zhou;Yongzhe Zhang

  • Mobility prediction-based smartphone energy optimization for everyday location monitoring

    Yohan Chon;Elmurod Talipov;Hyojeong Shin;Hojung Cha

  • Localizing WiFi Access Points Using Signal Strength

    Jahyoung Koo;Hojung Cha

  • DevScope: a nonintrusive and online power analysis tool for smartphone hardware components

    Wonwoo Jung;Chulkoo Kang;Chanmin Yoon;Donwon Kim

  • Smartphone-Based Collaborative and Autonomous Radio Fingerprinting

    Yungeun Kim;Yohan Chon;Hojung Cha

  • Understanding the coverage and scalability of place-centric crowdsensing

    Yohan Chon;Nicholas D. Lane;Yunjong Kim;Feng Zhao

  • Micro Sensor Node for Air Pollutant Monitoring: Hardware and Software Issues

    Sukwon Choi;Nakyoung Kim;Hojung Cha;Rhan Ha

  • RETOS: resilient, expandable, and threaded operating system for wireless sensor networks

    Hojung Cha;Sukwon Choi;Inuk Jung;Hyoseung Kim

  • Structural Health Monitoring system based on strain gauge enabled wireless sensor nodes

    Haksoo Choi;Sukwon Choi;Hojung Cha

  • Evaluating mobility models for temporal prediction with high-granularity mobility data

    Yohan Chon;Hyojeong Shin;Elmurod Talipov;Hojung Cha

  • Smartphone-based Wi-Fi pedestrian-tracking system tolerating the RSS variance problem

    Yungeun Kim;Hyojeong Shin;Hojung Cha

  • Inertial Sensor-Based Indoor Pedestrian Localization with Minimum 802.15.4a Configuration

    Seungwoo Lee;Byounggeun Kim;Hoon Kim;Rhan Ha

  • Smartphone-based Wi-Fi tracking system exploiting the RSS peak to overcome the RSS variance problem

    Yungeun Kim;Hyojeong Shin;Yohan Chon;Hojung Cha

  • Multi-hop-based Monte Carlo Localization for Mobile Sensor Networks

    Jiyoung Yi;Sungwon Yang;Hojung Cha

  • Unsupervised Locating of WiFi Access Points Using Smartphones

    Jahyoung Koo;Hojung Cha

Frequent Co-Authors

Feng Zhao
Feng Zhao Microsoft (United States)
Nicholas D. Lane
Nicholas D. Lane University of Cambridge
Wonjun Lee
Wonjun Lee Korea University
Jorg Henkel
Jorg Henkel Karlsruhe Institute of Technology
Hoon Kim
Hoon Kim Korea Advanced Institute of Science and Technology
Junehwa Song
Junehwa Song Korea Advanced Institute of Science and Technology
Tarek Abdelzaher
Tarek Abdelzaher University of Illinois at Urbana-Champaign
Edwin H.-M. Sha
Edwin H.-M. Sha East China Normal University
Jaideep Srivastava
Jaideep Srivastava University of Minnesota

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