Hojung Cha

5.0k citations
180 papers · 3.7k indexed · h-index 30

Impact in

Papers in

Hojung Cha

168 papers receiving 3.5k citations

Peers

Hojung Cha
Comparison fields: 5 of 110
  • Computer Science Applications 548
  • Transportation 664
  • Computer Networks and Communications 1.6k
  • Electrical and Electronic Engineering 2.4k
  • Signal Processing 402
Replace Yunhao Liu with:
Yunhao Liu China
Jakob Eriksson United States
Jizhong Zhao China
Prabal Dutta United States
Yuanqing Zheng Hong Kong
Zhenjiang Li China
Ramachandran Ramjee United States
Jeffrey Hightower United States
Feng Zhao China
Aman Kansal United States
Hojung Cha relative to Yunhao Liu China Yunhao Liu's profile →
Citations per field
00.5×1.6×
Yunhao Liu · 1×
Citations per year

Countries citing papers authored by Hojung Cha

Since Specialization
Citations

This map shows the geographic impact of Hojung Cha's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Hojung Cha with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Hojung Cha more than expected).

Fields of papers citing papers by Hojung Cha

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Hojung Cha. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Hojung Cha. The network helps show where Hojung Cha may publish in the future.

Co-authorship network

The 25 scholars most cited alongside Hojung Cha, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Hojung Cha Line = papers co-authored together Hojung Cha links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20250
2 20250
3 20250
4 20240
5 20240
6 20241
7 20230
8 20208
9 201710
10 20168
11 20139
12 201315
13 201318
14 201212
15
AppScope: application energy metering framework for android smartphones using kernel activity monitoring
2012201
16 2011203
17 20091
18
Towards a resilient operating system for wireless sensor networks
200617
19 20065
20 20021

About Hojung Cha

Hojung Cha is a scholar working on Computer Networks and Communications, Transportation, Computer Science Applications, Hardware and Architecture and Electrical and Electronic Engineering, having authored 180 papers that have together received 3.7k indexed citations. Recurring topics across this work include Green IT and Sustainability (52 papers), Indoor and Outdoor Localization Technologies (47 papers), Caching and Content Delivery (36 papers), Energy Efficient Wireless Sensor Networks (33 papers), Human Mobility and Location-Based Analysis (26 papers), Energy Harvesting in Wireless Networks (21 papers), Mobile Crowdsensing and Crowdsourcing (18 papers) and Context-Aware Activity Recognition Systems (16 papers). The work is most often cited by research in Computer Science Applications (548 citations), Transportation (664 citations), Computer Networks and Communications (1.6k citations), Electrical and Electronic Engineering (2.4k citations) and Signal Processing (402 citations). Hojung Cha has collaborated with scholars based in South Korea, United States and China. Frequent co-authors include Yohan Chon, Hyo Jeong Shin, Elmurod Talipov, Yungeun Kim, Rhan Ha, Dong-Won Kim, Chanmin Yoon, Nicholas D. Lane, Feng Zhao and Wonwoo Jung. Their work appears in journals such as Pervasive and Mobile Computing, IEEE Transactions on Mobile Computing, Computer Communications, IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems and Journal of Systems Architecture.

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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