Hoa Tran‐Dang

1.3k total citations
38 papers, 742 citations indexed

About

Hoa Tran‐Dang is a scholar working on Computer Networks and Communications, Electrical and Electronic Engineering and Industrial and Manufacturing Engineering. According to data from OpenAlex, Hoa Tran‐Dang has authored 38 papers receiving a total of 742 indexed citations (citations by other indexed papers that have themselves been cited), including 33 papers in Computer Networks and Communications, 13 papers in Electrical and Electronic Engineering and 10 papers in Industrial and Manufacturing Engineering. Recurrent topics in Hoa Tran‐Dang's work include IoT and Edge/Fog Computing (25 papers), Energy Efficient Wireless Sensor Networks (13 papers) and IoT Networks and Protocols (9 papers). Hoa Tran‐Dang is often cited by papers focused on IoT and Edge/Fog Computing (25 papers), Energy Efficient Wireless Sensor Networks (13 papers) and IoT Networks and Protocols (9 papers). Hoa Tran‐Dang collaborates with scholars based in South Korea, France and United States. Hoa Tran‐Dang's co-authors include Dong‐Seong Kim, Patrick Charpentier, Nicolas Krommenacker, Tariq Rahim, Arslan Musaddiq, Thien Huynh‐The, Jae‐Min Lee and Cosmas Ifeanyi Nwakanma and has published in prestigious journals such as IEEE Access, International Journal of Production Research and IEEE Internet of Things Journal.

In The Last Decade

Hoa Tran‐Dang

35 papers receiving 719 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Hoa Tran‐Dang South Korea	14	464	233	157	120	89	38	742
Nicolas Krommenacker France	13	294 0.6×	246 1.1×	50 0.3×	91 0.8×	43 0.5×	30	602
Tomás Robles Spain	15	306 0.7×	159 0.7×	221 1.4×	89 0.7×	110 1.2×	81	760
Hucheng Wang China	5	542 1.2×	371 1.6×	185 1.2×	53 0.4×	89 1.0×	6	901
Theofanis P. Raptis Italy	20	451 1.0×	585 2.5×	104 0.7×	131 1.1×	70 0.8×	62	1.0k
Fasee Ullah Pakistan	18	586 1.3×	280 1.2×	145 0.9×	43 0.4×	93 1.0×	63	1.0k
Federico Montori Italy	15	403 0.9×	255 1.1×	114 0.7×	76 0.6×	98 1.1×	62	800
Vinay Rishiwal India	14	411 0.9×	222 1.0×	166 1.1×	23 0.2×	90 1.0×	97	698
Ting-Yu Lin Taiwan	15	375 0.8×	157 0.7×	83 0.5×	183 1.5×	67 0.8×	50	711
Sarmad Ullah Khan Pakistan	8	689 1.5×	272 1.2×	292 1.9×	60 0.5×	124 1.4×	22	986
Shahid Khan Pakistan	5	628 1.4×	250 1.1×	276 1.8×	50 0.4×	114 1.3×	9	906

Countries citing papers authored by Hoa Tran‐Dang

Since Specialization

Citations

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

Fields of papers citing papers by Hoa Tran‐Dang

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Hoa Tran‐Dang. 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 Hoa Tran‐Dang. The network helps show where Hoa Tran‐Dang may publish in the future.

Co-authorship network of co-authors of Hoa Tran‐Dang

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

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

Tran‐Dang, Hoa & Dong‐Seong Kim. (2025). Digital Twin-empowered intelligent computation offloading for edge computing in the era of 5G and beyond: A state-of-the-art survey. ICT Express. 11(1). 167–180. 10 indexed citations

Tran‐Dang, Hoa & Dong‐Seong Kim. (2025). Distributed Learning-Based Matching for Task Offloading in Dynamic Fog Computing Networks. 1–6.

Tran‐Dang, Hoa & Dong‐Seong Kim. (2023). BLM-DTO: Bandit Learning and Matching based Distributed Task Offloading in Fog Networks. 24. 1–4. 1 indexed citations

Tran‐Dang, Hoa & Dong‐Seong Kim. (2023). Cooperative and Distributed Intelligent Computation in Fog Computing. 5 indexed citations

Kim, Dong‐Seong, Jae‐Min Lee, Cosmas Ifeanyi Nwakanma, & Hoa Tran‐Dang. (2023). Campus-Based Test-Bed Implementation of 5G+ Networks at the 28 ㎓ Band: Challenges and Opportunities. The Journal of Korean Institute of Communications and Information Sciences. 48(8). 1031–1048.

Tran‐Dang, Hoa & Dong‐Seong Kim. (2023). A Review on Matching-based Models for Distributed Computation Offloading in Fog-enabled IoT Systems. 758–763. 1 indexed citations

Tran‐Dang, Hoa & Dong‐Seong Kim. (2022). Reinforcement Learning for Computational Offloading in Fog-based IoT Systems: Applications, and Open Research Issues. 560–565. 1 indexed citations

Kim, Dong‐Seong, Hoa Tran‐Dang, & Thien Huynh‐The. (2022). On the Reliability of Industrial Internet of Things from Systematic Perspectives: Evaluation Approaches, Challenges, and Open Issues. IETE Technical Review. 39(6). 1277–1308. 15 indexed citations

Tran‐Dang, Hoa & Dong‐Seong Kim. (2022). A Many-to-One Matching based Task Offloading (MATO) Scheme for Fog computing-enabled IoT Systems. 239–244. 5 indexed citations

10.

Tran‐Dang, Hoa & Dong‐Seong Kim. (2021). Impact of Task Splitting on the Delay Performance of Task Offloading in the IoT-enabled Fog Systems. 2021 International Conference on Information and Communication Technology Convergence (ICTC). 661–663. 6 indexed citations

11.

Tran‐Dang, Hoa & Dong‐Seong Kim. (2021). FRATO: Fog Resource Based Adaptive Task Offloading for Delay-Minimizing IoT Service Provisioning. IEEE Transactions on Parallel and Distributed Systems. 32(10). 2491–2508. 65 indexed citations

12.

Tran‐Dang, Hoa, Nicolas Krommenacker, Patrick Charpentier, & Dong‐Seong Kim. (2020). The Internet of Things for Logistics: Perspectives, Application Review, and Challenges. IETE Technical Review. 39(1). 93–121. 83 indexed citations

13.

Tran‐Dang, Hoa & Dong‐Seong Kim. (2020). Link‐delay and spectrum‐availability aware routing in cognitive sensor networks. IET Communications. 14(20). 3639–3651. 4 indexed citations

14.

Tran‐Dang, Hoa & Dong‐Seong Kim. (2019). Energy-Efficient Cooperative Routing in Underwater Acoustic Sensor Networks. Journal of Advances in Information Technology. 10(4). 137–141. 6 indexed citations

15.

Tran‐Dang, Hoa & Dong‐Seong Kim. (2019). Channel-Aware Energy-Efficient Two-Hop Cooperative Routing Protocol for Underwater Acoustic Sensor Networks. IEEE Access. 7. 63181–63194. 27 indexed citations

16.

Tran‐Dang, Hoa & Dong‐Seong Kim. (2019). FARELI: A FAst and RELIable Routing Path for Cognitive Radio Sensor Networks. 894–901. 2 indexed citations

17.

Tran‐Dang, Hoa & Dong‐Seong Kim. (2019). Channel-aware cooperative routing in underwater acoustic sensor networks. Journal of Communications and Networks. 21(1). 33–44. 31 indexed citations

18.

Kim, Dong‐Seong & Hoa Tran‐Dang. (2018). Industrial Sensors and Controls in Communication Networks: From Wired Technologies to Cloud Computing and the Internet of Things. CERN Document Server (European Organization for Nuclear Research). 5 indexed citations

19.

Tran‐Dang, Hoa & Dong‐Seong Kim. (2018). Efficient relay selection algorithm for cooperative routing in underwater acoustic sensor networks. 1–9. 5 indexed citations

20.

Tran‐Dang, Hoa & Dong‐Seong Kim. (2018). Efficient bandwidth‐aware routing for underwater cognitive acoustic sensor networks. IET Wireless Sensor Systems. 9(2). 77–84. 5 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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