Junkun Peng

529 total citations
13 papers, 102 citations indexed

About

Junkun Peng is a scholar working on Computer Vision and Pattern Recognition, Computer Networks and Communications and Aerospace Engineering. According to data from OpenAlex, Junkun Peng has authored 13 papers receiving a total of 102 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Computer Vision and Pattern Recognition, 6 papers in Computer Networks and Communications and 3 papers in Aerospace Engineering. Recurrent topics in Junkun Peng's work include Caching and Content Delivery (4 papers), Image and Video Quality Assessment (3 papers) and Video Surveillance and Tracking Methods (3 papers). Junkun Peng is often cited by papers focused on Caching and Content Delivery (4 papers), Image and Video Quality Assessment (3 papers) and Video Surveillance and Tracking Methods (3 papers). Junkun Peng collaborates with scholars based in China, Hong Kong and United Kingdom. Junkun Peng's co-authors include Yong Jiang, Qing Li, Zhenhui Yuan, Longhao Zou, Gabriel‐Miro Muntean, Chuang Hu, Meng Chen, Tsung‐Yu Tsai, Guanghui Wang and Hong-Wei Huang and has published in prestigious journals such as IEEE Journal on Selected Areas in Communications, Advanced Science and IEEE Transactions on Computers.

In The Last Decade

Junkun Peng

9 papers receiving 102 citations

Peers

Junkun Peng

CVPR

CNC

SP

EEE

AE

Asad Ullah Khan Pakistan

Aymen Boudguiga France

Valérie Viêt Triêm Tông France

Hyunho Yeo South Korea

F. Ajesh India

Anh Gia-Tuan Nguyen Vietnam

Paul Couderc France

Khiem Le Vietnam

Hehui Zheng United Kingdom

Hans Hannu Sweden

Asad Ullah Khan Pakistan

Junkun Peng

25 ×0.5

CVPR

36 ×0.8

CNC

13 ×0.5

SP

16 ×1.1

EEE

6 ×0.5

AE

Citations per year, relative to Junkun Peng Junkun Peng (= 1×) peers Asad Ullah Khan

Countries citing papers authored by Junkun Peng

Since Specialization

Citations

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

Fields of papers citing papers by Junkun Peng

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Junkun Peng

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

All Works

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13 of 13 papers shown

1.

Cai, Lei, Zhenlie Huang, Eryun Yan, et al.. (2025). Zebrafish embryos as a teratogenicity screening tool to reduce potential birth defects. Reproductive Toxicology. 134. 108895–108895. 2 indexed citations

2.

Peng, Junkun, et al.. (2025). A Multimodal Multi-Drone Cooperation System for Real-Time Human Searching. IEEE Transactions on Mobile Computing. 25(3). 3506–3523.

3.

Lin, Yina, Yonggang Li, Yuan Deng, et al.. (2025). Developing Quorum Sensing‐Based Collaborative Dynamic Control System in Halomonas TD01. Advanced Science. 12(18). e2408083–e2408083.

4.

Li, Qing, Junkun Peng, Gareth Tyson, et al.. (2024). Smart Data-Driven Proactive Push to Edge Network for User-Generated Videos. Rare & Special e-Zone (The Hong Kong University of Science and Technology). 511–520.

5.

Li, Qing, et al.. (2024). Air-CAD: Edge-Assisted Multi-Drone Network for Real-time Crowd Anomaly Detection. 2817–2825. 5 indexed citations

6.

Wang, Guanghui, et al.. (2024). Multi-Drone Collaborative Shepherding Through Multi-Task Reinforcement Learning. IEEE Robotics and Automation Letters. 9(11). 10311–10318. 3 indexed citations

7.

Peng, Junkun, et al.. (2023). A Cooperative Caching System in Heterogeneous Edge Networks. IEEE Transactions on Mobile Computing. 23(7). 7635–7649. 5 indexed citations

8.

Hu, Chuang, Dan Wang, Dazhao Cheng, et al.. (2023). An Edge-Side Real-Time Video Analytics System With Dual Computing Resource Control. IEEE Transactions on Computers. 72(12). 3399–3415.

9.

Peng, Junkun, et al.. (2023). SkyNet: Multi-Drone Cooperation for Real-Time Person Identification and Localization. 1–10. 5 indexed citations

10.

Li, Qing, et al.. (2022). QAVA: QoE-Aware Adaptive Video Bitrate Aggregation for HTTP Live Streaming Based on Smart Edge Computing. IEEE Transactions on Broadcasting. 68(3). 661–676. 34 indexed citations

11.

Li, Qing, et al.. (2022). VaBUS: Edge-Cloud Real-Time Video Analytics via Background Understanding and Subtraction. IEEE Journal on Selected Areas in Communications. 41(1). 90–106. 27 indexed citations

12.

Peng, Junkun, et al.. (2022). MagNet: Cooperative Edge Caching by Automatic Content Congregating. Proceedings of the ACM Web Conference 2022. 3280–3288. 17 indexed citations

13.

Huang, Hong-Wei, et al.. (2007). Single-inductor dual-output (SIDO) DC-DC converters for minimized cross regulation and high efficiency in SoC supplying systems. Conference proceedings. 2. 550–553. 4 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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