Jiong Jin

6.7k total citations · 2 hit papers
162 papers, 4.7k citations indexed

About

Jiong Jin is a scholar working on Computer Networks and Communications, Electrical and Electronic Engineering and Artificial Intelligence. According to data from OpenAlex, Jiong Jin has authored 162 papers receiving a total of 4.7k indexed citations (citations by other indexed papers that have themselves been cited), including 95 papers in Computer Networks and Communications, 42 papers in Electrical and Electronic Engineering and 39 papers in Artificial Intelligence. Recurrent topics in Jiong Jin's work include IoT and Edge/Fog Computing (41 papers), Energy Efficient Wireless Sensor Networks (15 papers) and Network Security and Intrusion Detection (14 papers). Jiong Jin is often cited by papers focused on IoT and Edge/Fog Computing (41 papers), Energy Efficient Wireless Sensor Networks (15 papers) and Network Security and Intrusion Detection (14 papers). Jiong Jin collaborates with scholars based in Australia, China and United States. Jiong Jin's co-authors include Marimuthu Palaniswami, Jayavardhana Gubbi, Slaven Marusic, Jinchuan Zheng, Boda Ning, Zhihong Man, Lingjuan Lyu, Qing‐Long Han, Ashfaqur Rahman and Philip Branch and has published in prestigious journals such as SHILAP Revista de lepidopterología, IEEE Communications Surveys & Tutorials and IEEE Access.

In The Last Decade

Jiong Jin

152 papers receiving 4.5k citations

Hit Papers

An Information Framework for Creating a Smart City Throug... 2014 2026 2018 2022 2014 2020 250 500 750

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Jiong Jin Australia 32 2.5k 1.2k 1.1k 983 658 162 4.7k
Anis Koubâa Saudi Arabia 47 4.0k 1.6× 1.8k 1.5× 878 0.8× 965 1.0× 471 0.7× 280 7.4k
Qi Hao China 38 1.4k 0.6× 1.4k 1.2× 555 0.5× 932 0.9× 434 0.7× 216 6.0k
Chen Chen China 48 3.1k 1.3× 2.7k 2.2× 772 0.7× 1.6k 1.6× 1.0k 1.5× 401 7.7k
Minrui Fei China 39 2.1k 0.8× 1.6k 1.3× 2.9k 2.6× 1.4k 1.4× 480 0.7× 329 5.9k
Carlos T. Calafate Spain 43 3.3k 1.4× 3.3k 2.7× 659 0.6× 678 0.7× 544 0.8× 392 6.7k
Meiqin Liu China 36 1.3k 0.5× 1.2k 0.9× 1.3k 1.2× 944 1.0× 533 0.8× 312 4.6k
Dong‐Seong Kim South Korea 37 2.1k 0.9× 1.4k 1.2× 356 0.3× 1.9k 2.0× 698 1.1× 462 5.9k
Miao Pan United States 40 2.6k 1.1× 3.1k 2.6× 401 0.4× 1.5k 1.5× 605 0.9× 348 6.1k
Yang Zhang China 36 2.4k 1.0× 1.2k 1.0× 344 0.3× 1.6k 1.6× 1.1k 1.7× 248 5.3k
Pietro Manzoni Spain 41 3.8k 1.6× 3.2k 2.6× 578 0.5× 518 0.5× 476 0.7× 347 6.4k

Countries citing papers authored by Jiong Jin

Since Specialization
Citations

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

Fields of papers citing papers by Jiong Jin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jiong Jin

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

All Works

20 of 20 papers shown
1.
Jiang, Di, et al.. (2025). APT-SAT: An Adaptive DNN Partitioning and Task Offloading Framework Within Collaborative Satellite Computing Environments. IEEE Transactions on Network Science and Engineering. 13. 597–610.
2.
Jin, Jiong, et al.. (2025). Mobility-as-a-Resilience Service in Internet of Robotic Things Through Robust Multiagent Deep Reinforcement Learning. IEEE Internet of Things Journal. 12(23). 49009–49021. 4 indexed citations
3.
Zhang, Hui, et al.. (2025). A Path Planning Framework for Robots Based on Improved Parallel Sampling RRT and Offset Guidance DWA. IEEE Sensors Journal. 25(18). 35597–35608.
4.
Jiang, Desheng, et al.. (2025). Farm-LightSeek: An Edge-Centric Multimodal Agricultural IoT Data Analytics Framework With Lightweight LLMs. IEEE Internet of Things Magazine. 8(5). 72–79. 3 indexed citations
5.
Shi, Yang, Xi Xiao, Qing‐Long Han, et al.. (2024). InforTest: Informer-Based Testing for Applications in the Internet of Robotic Things. IEEE Transactions on Industrial Informatics. 21(2). 1499–1507. 1 indexed citations
6.
Wang, Min, et al.. (2024). Urban Vehicle Trajectory Generation Based on Generative Adversarial Imitation Learning. IEEE Transactions on Vehicular Technology. 73(12). 18237–18249. 2 indexed citations
8.
Mahmud, Redowan, et al.. (2024). Configurable Harris Hawks Optimisation for Application Placement in Space-Air-Ground Integrated Networks. IEEE Transactions on Network and Service Management. 21(2). 1724–1736. 3 indexed citations
9.
Yuan, Jingling, et al.. (2023). ELECT: Energy-efficient intelligent edge–cloud collaboration for remote IoT services. Future Generation Computer Systems. 147. 179–194. 19 indexed citations
10.
Dong, Yuning, et al.. (2023). Online Classification of Network Traffic Based on Granular Computing. IEEE Transactions on Systems Man and Cybernetics Systems. 53(8). 5199–5211. 6 indexed citations
11.
Franklin, A. Antony, et al.. (2023). Seer: Learning-Based $360^{\circ }$ Video Streaming for MEC-Equipped Cellular Networks. IEEE Transactions on Network Science and Engineering. 1–14. 5 indexed citations
12.
Xiang, Wei, et al.. (2023). Digital Twin Empowered Industrial IoT Based on Credibility-Weighted Swarm Learning. IEEE Transactions on Industrial Informatics. 20(1). 775–784. 8 indexed citations
13.
Dong, Yuning, et al.. (2023). Fast online classification of network traffic using new feature-embedded hierarchical structure. Computer Networks. 237. 110106–110106. 1 indexed citations
14.
Dong, Yuning, et al.. (2022). Online multimedia traffic classification from the QoS perspective using deep learning. Computer Networks. 204. 108716–108716. 21 indexed citations
15.
Ahmad, Iftekhar, et al.. (2022). Lifetime Maximization in Underwater Wireless Communication Networks. IEEE Sensors Journal. 22(15). 15549–15560. 7 indexed citations
16.
Dong, Yuning, et al.. (2022). Multimedia Traffic Classification for Imbalanced Environment. IEEE Transactions on Network Science and Engineering. 9(3). 1838–1852. 4 indexed citations
17.
Afrin, Mahbuba, Jiong Jin, Ashfaqur Rahman, et al.. (2021). Robotic Edge Resource Allocation for Agricultural Cyber-Physical System. IEEE Transactions on Network Science and Engineering. 9(6). 3979–3990. 25 indexed citations
18.
Cao, Xianghui, et al.. (2020). Joint Scheduling and Channel Allocation for Kalman Filtering Over Multihop WirelessHART Networks. IEEE Transactions on Industrial Informatics. 17(5). 3555–3565. 7 indexed citations
19.
Dong, Yuning, et al.. (2020). Enhanced Rough K-Means Based Flow Aggregation for QoS Mapping in Heterogeneous Network Environments. IEEE Transactions on Network and Service Management. 17(2). 1197–1210. 2 indexed citations
20.
Dong, Yuning, et al.. (2019). Fine-Grained Classification of Internet Video Traffic From QoS Perspective Using Fractal Spectrum. IEEE Transactions on Multimedia. 22(10). 2579–2596. 10 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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