Kiwan Maeng

1.3k total citations
15 papers, 595 citations indexed

About

Kiwan Maeng is a scholar working on Electrical and Electronic Engineering, Computer Networks and Communications and Artificial Intelligence. According to data from OpenAlex, Kiwan Maeng has authored 15 papers receiving a total of 595 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Electrical and Electronic Engineering, 7 papers in Computer Networks and Communications and 6 papers in Artificial Intelligence. Recurrent topics in Kiwan Maeng's work include Energy Harvesting in Wireless Networks (7 papers), Parallel Computing and Optimization Techniques (4 papers) and Privacy-Preserving Technologies in Data (3 papers). Kiwan Maeng is often cited by papers focused on Energy Harvesting in Wireless Networks (7 papers), Parallel Computing and Optimization Techniques (4 papers) and Privacy-Preserving Technologies in Data (3 papers). Kiwan Maeng collaborates with scholars based in United States, Netherlands and Italy. Kiwan Maeng's co-authors include Brandon Lucia, Alexei Colin, Emily Ruppel, Amjad Yousef Majid, Kasım Sinan Yıldırım, Przemysław Pawełczak, Mike Rabbat, Carole-Jean Wu, John Nguyen and Luca Melis and has published in prestigious journals such as ACM Transactions on Sensor Networks, Proceedings of the ACM on Programming Languages and Operating Systems Design and Implementation.

In The Last Decade

Kiwan Maeng

14 papers receiving 587 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
Kiwan Maeng United States	9	444	331	172	90	58	15	595
Vivek Chaturvedi United States	12	199 0.4×	158 0.5×	258 1.5×	32 0.4×	31 0.5×	33	426
Kevin Klues United States	10	169 0.4×	389 1.2×	134 0.8×	30 0.3×	16 0.3×	16	438
Amjad Yousef Majid Netherlands	7	213 0.5×	161 0.5×	47 0.3×	37 0.4×	32 0.6×	14	286
Mastooreh Salajegheh United States	9	160 0.4×	171 0.5×	64 0.4×	24 0.3×	38 0.7×	15	286
Taewhan Kim South Korea	16	641 1.4×	360 1.1×	738 4.3×	24 0.3×	29 0.5×	132	1.1k
Michel Auguin France	11	163 0.4×	197 0.6×	205 1.2×	32 0.4×	26 0.4×	47	371
Chandan Giri India	9	263 0.6×	105 0.3×	110 0.6×	14 0.2×	30 0.5×	84	342
Ravishankar Rao United States	12	498 1.1×	346 1.0×	254 1.5×	25 0.3×	8 0.1×	19	727
D.C. da Silva Brazil	9	219 0.5×	280 0.8×	51 0.3×	22 0.2×	18 0.3×	23	388

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-authorship network of co-authors of Kiwan Maeng

This figure shows the co-authorship network connecting the top 25 collaborators of Kiwan Maeng. A scholar is included among the top collaborators of Kiwan Maeng based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Kiwan Maeng. Kiwan Maeng is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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15 of 15 papers shown

Xiong, Wenjie, et al.. (2025). Practical Federated Recommendation Model Learning Using ORAM with Controlled Privacy. VTechWorks (Virginia Tech). 913–932. 1 indexed citations

Umar, Muhammad, et al.. (2025). Hermes: Algorithm-System Co-design for Efficient Retrieval-Augmented Generation At-Scale. 958–973. 1 indexed citations

Maeng, Kiwan & Brandon Lucia. (2024). Compiler-Based Memory Encryption for Machine Learning on Commodity Low-Power Devices. 198–211. 1 indexed citations

Lam, Maximilian, Jeff Johnson, Wenjie Xiong, et al.. (2024). GPU-based Private Information Retrieval for On-Device Machine Learning Inference. VTechWorks (Virginia Tech). 197–214. 4 indexed citations

Jain, Rishabh, S. H. Cheng, Kiwan Maeng, et al.. (2023). Optimizing CPU Performance for Recommendation Systems At-Scale. 1–15. 15 indexed citations

Acun, Bilge, Benjamin Lee, Fiodar Kazhamiaka, et al.. (2023). Carbon Dependencies in Datacenter Design and Management. 3(3). 21–26. 5 indexed citations

Ruppel, Emily, et al.. (2022). An Architectural Charge Management Interface for Energy-Harvesting Systems. 318–335. 12 indexed citations

Maeng, Kiwan, Haiyu Lu, Luca Melis, et al.. (2022). Towards Fair Federated Recommendation Learning: Characterizing the Inter-Dependence of System and Data Heterogeneity. 156–167. 18 indexed citations

Maeng, Kiwan, Vikram Saraph, Bor-Yiing Su, et al.. (2021). Understanding and Improving Failure Tolerant Training for Deep Learning Recommendation with Partial Recovery. 3. 637–651. 6 indexed citations

10.

Majid, Amjad Yousef, Kiwan Maeng, Alexei Colin, et al.. (2020). Dynamic Task-based Intermittent Execution for Energy-harvesting Devices. ACM Transactions on Sensor Networks. 16(1). 1–24. 55 indexed citations

11.

Maeng, Kiwan & Brandon Lucia. (2020). Adaptive low-overhead scheduling for periodic and reactive intermittent execution. 1005–1021. 56 indexed citations

12.

Maeng, Kiwan & Brandon Lucia. (2019). Supporting peripherals in intermittent systems with just-in-time checkpoints. 1101–1116. 69 indexed citations

13.

Maeng, Kiwan & Brandon Lucia. (2018). Adaptive dynamic checkpointing for safe efficient intermittent computing. Operating Systems Design and Implementation. 129–144. 72 indexed citations

14.

Lucia, Brandon, et al.. (2017). Intermittent Computing: Challenges and Opportunities. DROPS (Schloss Dagstuhl – Leibniz Center for Informatics). 14. 100 indexed citations

15.

Maeng, Kiwan, Alexei Colin, & Brandon Lucia. (2017). Alpaca: intermittent execution without checkpoints. Proceedings of the ACM on Programming Languages. 1(OOPSLA). 1–30. 180 indexed citations

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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