Edward T.-H. Chu

58 papers receiving 542 citations

Peers

Edward T.-H. Chu
Comparison fields: 5 of 82
  • Software 44
  • Computer Networks and Communications 224
  • Computer Science Applications 45
  • Computer Vision and Pattern Recognition 143
  • Hardware and Architecture 42
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Bo-Jhang Ho United States
Félix J. Villanueva Spain
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Md. Motaharul Islam Bangladesh
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Countries citing papers authored by Edward T.-H. Chu

Since Specialization
Citations

This map shows the geographic impact of Edward T.-H. Chu'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 Edward T.-H. Chu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Edward T.-H. Chu more than expected).

Fields of papers citing papers by Edward T.-H. Chu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Edward T.-H. Chu. 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 Edward T.-H. Chu. The network helps show where Edward T.-H. Chu may publish in the future.

Co-authors

The 25 scholars most cited alongside Edward T.-H. Chu, 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 Edward T.-H. Chu Line = papers co-authored together Edward T.-H. Chu links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 60 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201474
2 202046
3 201444
4 201836
5 201436
6 201429
7 200725
8 202321
9 201221
10 201521
11 200819
12 201318
13
Crowdsourcing support system for disaster surveillance and response
201214
14 201112
15 201711
16 20158
17 20138
18 20207
19 20177
20
WPIN: A waypoint-based indoor navigation system.
20197

About Edward T.-H. Chu

Edward T.-H. Chu is a scholar working on Computer Networks and Communications, Computer Vision and Pattern Recognition, Electrical and Electronic Engineering, Artificial Intelligence and Control and Systems Engineering, having authored 60 papers that have together received 562 indexed citations. Recurring topics across this work include Context-Aware Activity Recognition Systems (12 papers), Indoor and Outdoor Localization Technologies (9 papers), IoT and Edge/Fog Computing (6 papers), Parallel Computing and Optimization Techniques (5 papers), Evacuation and Crowd Dynamics (4 papers), Energy Efficient Wireless Sensor Networks (4 papers), Energy Harvesting in Wireless Networks (4 papers) and Green IT and Sustainability (4 papers). The work is most often cited by research in Software (44 citations), Computer Networks and Communications (224 citations), Computer Science Applications (45 citations), Computer Vision and Pattern Recognition (143 citations) and Hardware and Architecture (42 citations). Edward T.-H. Chu has collaborated with scholars based in Taiwan, United States and Thailand. Frequent co-authors include Ying–Dar Lin, Yuan‐Cheng Lai, Taiyi Huang, Yuan-Cheng Lai, Jane W. S. Liu, J. F. Rojas, Lun‐Wei Ku, Chi‐Sheng Shih, Jane Liu and Pei-Hsuan Tsai. Their work appears in journals such as Sensors, IEEE Transactions on Systems Man and Cybernetics Systems, IEEE Transactions on Sustainable Computing, IEEE Internet of Things Journal and Computer.

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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