Dong-Ki Kang

401 total citations
28 papers, 253 citations indexed

About

Dong-Ki Kang is a scholar working on Computer Networks and Communications, Information Systems and Electrical and Electronic Engineering. According to data from OpenAlex, Dong-Ki Kang has authored 28 papers receiving a total of 253 indexed citations (citations by other indexed papers that have themselves been cited), including 21 papers in Computer Networks and Communications, 12 papers in Information Systems and 12 papers in Electrical and Electronic Engineering. Recurrent topics in Dong-Ki Kang's work include Cloud Computing and Resource Management (12 papers), Distributed and Parallel Computing Systems (7 papers) and Software-Defined Networks and 5G (6 papers). Dong-Ki Kang is often cited by papers focused on Cloud Computing and Resource Management (12 papers), Distributed and Parallel Computing Systems (7 papers) and Software-Defined Networks and 5G (6 papers). Dong-Ki Kang collaborates with scholars based in South Korea, China and Chile. Dong-Ki Kang's co-authors include Chan‐Hyun Youn, Young-Chon Kim, Mohamed A. Ahmed, Seong-Hwan Kim, Ki-Beom Lee, Yuyang Peng, Eunju Yang, Min Chen, Woojoong Kim and Limei Peng and has published in prestigious journals such as IEEE Transactions on Industrial Electronics, IEEE Access and Energies.

In The Last Decade

Dong-Ki Kang

27 papers receiving 244 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Dong-Ki Kang South Korea	9	128	127	102	62	24	28	253
Michelle Silva Wangham Brazil	8	142 1.1×	165 1.3×	77 0.8×	42 0.7×	61 2.5×	35	273
Md. Muzakkir Hussain India	8	157 1.2×	141 1.1×	85 0.8×	54 0.9×	30 1.3×	24	261
Qusay Idrees Sarhan Iraq	10	168 1.3×	79 0.6×	133 1.3×	10 0.2×	42 1.8×	25	300
Luis Silva Portugal	10	202 1.6×	73 0.6×	71 0.7×	15 0.2×	18 0.8×	20	253
Nabeel Akhtar United States	8	241 1.9×	173 1.4×	80 0.8×	31 0.5×	25 1.0×	16	325
Vincenzo Croce Italy	9	57 0.4×	161 1.3×	125 1.2×	24 0.4×	21 0.9×	23	268
Divya Gupta India	9	190 1.5×	91 0.7×	46 0.5×	9 0.1×	48 2.0×	34	278
Alessandro Amoroso Italy	13	315 2.5×	231 1.8×	43 0.4×	37 0.6×	14 0.6×	47	398
Jim Martin United States	10	217 1.7×	174 1.4×	66 0.6×	37 0.6×	21 0.9×	45	340
Fiodar Kazhamiaka Canada	10	82 0.6×	170 1.3×	61 0.6×	46 0.7×	33 1.4×	25	275

Countries citing papers authored by Dong-Ki Kang

Since Specialization

Citations

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

Fields of papers citing papers by Dong-Ki Kang

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Dong-Ki Kang. 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 Dong-Ki Kang. The network helps show where Dong-Ki Kang may publish in the future.

Co-authorship network of co-authors of Dong-Ki Kang

This figure shows the co-authorship network connecting the top 25 collaborators of Dong-Ki Kang. A scholar is included among the top collaborators of Dong-Ki Kang 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 Dong-Ki Kang. Dong-Ki Kang is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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20 of 20 papers shown

Kang, Dong-Ki, et al.. (2024). Renewable-Aware Frequency Scaling Approach for Energy-Efficient Deep Learning Clusters. Applied Sciences. 14(2). 776–776. 3 indexed citations

Kang, Dong-Ki, Ki-Beom Lee, & Young-Chon Kim. (2022). Cost Efficient GPU Cluster Management for Training and Inference of Deep Learning. Energies. 15(2). 474–474. 5 indexed citations

Kang, Dong-Ki, et al.. (2021). Cooperative Distributed GPU Power Capping for Deep Learning Clusters. IEEE Transactions on Industrial Electronics. 69(7). 7244–7254. 6 indexed citations

Lee, Ki-Beom, Mohamed A. Ahmed, Dong-Ki Kang, & Young-Chon Kim. (2020). Deep Reinforcement Learning Based Optimal Route and Charging Station Selection. Energies. 13(23). 6255–6255. 41 indexed citations

Kang, Dong-Ki & Chan‐Hyun Youn. (2019). Real-Time Control for Power Cost Efficient Deep Learning Processing With Renewable Generation. IEEE Access. 7. 114909–114922. 7 indexed citations

Kang, Dong-Ki, et al.. (2016). Workload-aware resource management for energy efficient heterogeneous Docker containers. 2428–2431. 15 indexed citations

Kim, Seong-Hwan, Dong-Ki Kang, Woojoong Kim, Min Chen, & Chan‐Hyun Youn. (2016). A Science Gateway Cloud With Cost-Adaptive VM Management for Computational Science and Applications. IEEE Systems Journal. 11(1). 173–185. 13 indexed citations

Peng, Yuyang, et al.. (2016). Energy and QoS aware resource allocation for heterogeneous sustainable cloud datacenters. Optical Switching and Networking. 23. 225–240. 32 indexed citations

Kang, Dong-Ki, et al.. (2016). Adaptive VM Management with Two Phase Power Consumption Cost Models in Cloud Datacenter. Mobile Networks and Applications. 21(5). 793–805. 2 indexed citations

10.

Kang, Dong-Ki, et al.. (2016). LPC $$_\mathrm{FreqSchd}$$ FreqSchd : A local power controller using the frequency scheduling approach for virtualized servers. Cluster Computing. 19(2). 663–678. 4 indexed citations

11.

Kang, Dong-Ki, Seong-Hwan Kim, Chan‐Hyun Youn, & Min Chen. (2014). Cost adaptive workflow scheduling in cloud computing. 1–8. 15 indexed citations

12.

Kang, Dong-Ki, Seong-Hwan Kim, Ye Ren, et al.. (2013). Enhancing a strategy of virtualized resource assignment in adaptive resource cloud framework. 1–6. 2 indexed citations

13.

Youn, Chan‐Hyun, et al.. (2012). Adaptive management framework for scientific workflow applications. 1–5. 2 indexed citations

14.

Ren, Ye, et al.. (2012). A Cost-Efficient Job Scheduling Algorithm in Cloud Resource Broker with Scalable VM Allocation Scheme. KIPS Transactions on Software and Data Engineering. 1(3). 137–148. 1 indexed citations

15.

Kang, Dong-Ki, et al.. (2012). Wake Transition Decision algorithm for energy saving in OBS network with LPI. 527–531. 4 indexed citations

16.

Tong, Fei, et al.. (2011). A reconfigurable routing protocol for free space optical sensor network. 2. 165–170. 1 indexed citations

17.

Kang, Dong-Ki, et al.. (2010). Dynamic Time based Burst Assemble scheme to reduce energy consumption in OBS network with Low-Power Idle. 3090 2004. 183–187. 2 indexed citations

18.

Peng, Limei, et al.. (2010). A simulation study of neighborhood discovery algorithm in Free Space Optical Sensor Networks. 35. 87–91. 5 indexed citations

19.

Kang, Dong-Ki, et al.. (2010). Performance Analysis of Energy Savings according to Traffic Patterns in Ethernet with Rate Adaptation. i. 619–624. 4 indexed citations

20.

Jeong, Jaewoo, et al.. (2005). Wafer level package solder joint reliability study for portable electronic devices. 2. 660–664. 3 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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