Eugene Chai

777 citations
29 papers · 537 · h-index 12

Impact in

Papers in

Eugene Chai

27 papers receiving 527 citations

Peers

Eugene Chai
Comparison fields: 5 of 58
  • Media Technology 103
  • Computer Networks and Communications 216
  • Human-Computer Interaction 51
  • Electrical and Electronic Engineering 349
  • Aerospace Engineering 118
Replace Ashutosh Dhekne with:
Ashutosh Dhekne United States
Yanling Bu China
Sangjoon Park South Korea
Swadhin Pradhan United States
Filip Lemić Belgium
Masateru Minami Japan
Thomas Haenselmann Germany
Atta Ul Quddus United Kingdom
Xueli An Germany
Eugene Chai relative to Ashutosh Dhekne United States Ashutosh Dhekne's profile →
Citations per field
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Ashutosh Dhekne · 1×
Citations per year

Countries citing papers authored by Eugene Chai

Since Specialization
Citations

This map shows the geographic impact of Eugene Chai'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 Eugene Chai with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Eugene Chai more than expected).

Fields of papers citing papers by Eugene Chai

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Eugene Chai. 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 Eugene Chai. The network helps show where Eugene Chai may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 29 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2017105
2 201978
3 201857
4 201646
5 201530
6 201829
7 202025
8 201219
9 202117
10 202015
11 201715
12 201414
13 201710
14 201510
15 20249
16 20228
17 20248
18 20197
19 20117
20 20205

About Eugene Chai

Eugene Chai is a scholar working on Electrical and Electronic Engineering, Computer Networks and Communications, Aerospace Engineering, Media Technology and Computer Vision and Pattern Recognition, having authored 29 papers that have together received 537 indexed citations. Recurring topics across this work include Advanced MIMO Systems Optimization (7 papers), Wireless Networks and Protocols (7 papers), Indoor and Outdoor Localization Technologies (7 papers), Energy Harvesting in Wireless Networks (7 papers), UAV Applications and Optimization (5 papers), Cooperative Communication and Network Coding (4 papers), RFID technology advancements (4 papers) and Full-Duplex Wireless Communications (3 papers). The work is most often cited by research in Media Technology (103 citations), Computer Networks and Communications (216 citations), Human-Computer Interaction (51 citations), Electrical and Electronic Engineering (349 citations) and Aerospace Engineering (118 citations). Eugene Chai has collaborated with scholars based in United States, Singapore and Japan. Frequent co-authors include Sampath Rangarajan, Karthikeyan Sundaresan, Mohammad A. Amir Khojastepour, Swadhin Pradhan, Lili Qiu, Karthik Sundaresan, Kang G. Shin, Z. Morley Mao, Xiaojiang Chen and Zhanyong Tang. Their work appears in journals such as IEEE Transactions on Mobile Computing, Communications of the ACM, Proceedings of the ACM on Interactive Mobile Wearable and Ubiquitous Technologies, eScholarship (California Digital Library) and National University of Singapore.

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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