Kiwan Maeng

1.4k citations
17 papers · 624 · h-index 9

Impact in

Papers in

Kiwan Maeng

15 papers receiving 617 citations

Peers

Kiwan Maeng
Comparison fields: 5 of 38
  • Hardware and Architecture 178
  • Computer Networks and Communications 348
  • Electrical and Electronic Engineering 453
  • Nuclear Energy and Engineering 2
  • Automotive Engineering 36
Replace Alexei Colin with:
Alexei Colin United States
Vivek Chaturvedi United States
Nikhil Tripathi India
Santiago Pagani Germany
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Taewhan Kim South Korea
Màrius Montón Spain
Chandan Giri India
Amjad Yousef Majid Netherlands
Kiwan Maeng relative to Alexei Colin United States Alexei Colin's profile →
Citations per field
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Citations per year

Countries citing papers authored by Kiwan Maeng

Since Specialization
Citations

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

Fields of papers citing papers by Kiwan Maeng

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

17 of 17 papers shown
#Work
1 2017186
2 2017102
3 201973
4 201872
5 202059
6 202058
7 202219
8 202317
9 202217
10 20237
11
Understanding and Improving Failure Tolerant Training for Deep Learning Recommendation with Partial Recovery
20216
12 20245
13 20241
14 20251
15 20251
16 20250
17 20250

About Kiwan Maeng

Kiwan Maeng is a scholar working on Computer Networks and Communications, Artificial Intelligence, Electrical and Electronic Engineering, Hardware and Architecture and Information Systems, having authored 17 papers that have together received 624 indexed citations. Recurring topics across this work include Energy Harvesting in Wireless Networks (7 papers), Parallel Computing and Optimization Techniques (5 papers), Recommender Systems and Techniques (3 papers), Privacy-Preserving Technologies in Data (3 papers), Stochastic Gradient Optimization Techniques (3 papers), Green IT and Sustainability (2 papers), IoT and Edge/Fog Computing (2 papers) and Cryptography and Data Security (2 papers). The work is most often cited by research in Hardware and Architecture (178 citations), Computer Networks and Communications (348 citations), Electrical and Electronic Engineering (453 citations), Nuclear Energy and Engineering (2 citations) and Automotive Engineering (36 citations). Kiwan Maeng has collaborated with scholars based in United States, Netherlands and Italy. Frequent co-authors include Brandon Lucia, Alexei Colin, Emily Ruppel, Amjad Yousef Majid, Przemysław Pawełczak, Kasım Sinan Yıldırım, Carole-Jean Wu, Mike Rabbat, Luca Melis and John Nguyen. Their work appears in journals such as Proceedings of the ACM on Programming Languages, IEEE Transactions on Computers, IEEE Computer Architecture Letters, ACM Transactions on Sensor Networks and Operating Systems Design and Implementation.

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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