Kun Wang

13.8k total citations · 4 hit papers
420 papers, 9.8k citations indexed

About

Kun Wang is a scholar working on Computer Networks and Communications, Electrical and Electronic Engineering and Artificial Intelligence. According to data from OpenAlex, Kun Wang has authored 420 papers receiving a total of 9.8k indexed citations (citations by other indexed papers that have themselves been cited), including 196 papers in Computer Networks and Communications, 129 papers in Electrical and Electronic Engineering and 101 papers in Artificial Intelligence. Recurrent topics in Kun Wang's work include IoT and Edge/Fog Computing (60 papers), Caching and Content Delivery (46 papers) and Cloud Computing and Resource Management (44 papers). Kun Wang is often cited by papers focused on IoT and Edge/Fog Computing (60 papers), Caching and Content Delivery (46 papers) and Cloud Computing and Resource Management (44 papers). Kun Wang collaborates with scholars based in China, United States and Hong Kong. Kun Wang's co-authors include Song Guo, Yanfei Sun, Miao Du, Chenhan Xu, Xiaoming He, Yan Zhang, Lei Shu, Huawei Huang, Toshiaki Miyazaki and Wenyao Xu and has published in prestigious journals such as SHILAP Revista de lepidopterología, Academy of Management Journal and Advanced Energy Materials.

In The Last Decade

Kun Wang

380 papers receiving 9.5k citations

Hit Papers

Short-term electrical load forecasting using the Support ... 2016 2026 2019 2022 2017 2016 2019 2019 100 200 300 400

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Kun Wang China 54 4.8k 3.6k 2.4k 2.0k 1.0k 420 9.8k
Tie Qiu China 51 5.0k 1.0× 3.0k 0.8× 1.6k 0.7× 2.0k 1.0× 812 0.8× 261 9.1k
Xue Liu Canada 47 4.7k 1.0× 3.0k 0.9× 3.2k 1.3× 1.7k 0.8× 646 0.6× 406 9.4k
Kaoru Ota Japan 56 6.6k 1.4× 4.1k 1.2× 2.2k 0.9× 2.5k 1.2× 691 0.7× 360 11.5k
Danda B. Rawat United States 43 3.9k 0.8× 2.8k 0.8× 1.5k 0.6× 2.2k 1.1× 840 0.8× 420 7.6k
Feng Xia China 57 5.2k 1.1× 2.6k 0.7× 3.1k 1.3× 3.6k 1.8× 621 0.6× 470 12.8k
Yue Cao China 49 3.4k 0.7× 4.0k 1.1× 1.5k 0.6× 1.5k 0.8× 561 0.5× 363 9.1k
Md Zakirul Alam Bhuiyan United States 52 4.0k 0.8× 1.9k 0.5× 2.4k 1.0× 2.4k 1.2× 560 0.5× 214 8.0k
Fadi Al‐Turjman Cyprus 56 4.9k 1.0× 2.9k 0.8× 2.6k 1.1× 2.8k 1.4× 616 0.6× 383 11.6k
Zhou Su China 54 4.5k 0.9× 3.3k 0.9× 2.5k 1.0× 2.1k 1.1× 549 0.5× 464 9.7k
Salil S. Kanhere Australia 52 5.2k 1.1× 3.0k 0.8× 3.9k 1.6× 2.5k 1.2× 384 0.4× 318 10.8k

Countries citing papers authored by Kun Wang

Since Specialization
Citations

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

Fields of papers citing papers by Kun Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Kun Wang

This figure shows the co-authorship network connecting the top 25 collaborators of Kun Wang. A scholar is included among the top collaborators of Kun Wang 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 Kun Wang. Kun Wang 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.
Wang, Kun, Seth Watts, William L. Smith, et al.. (2025). Zwitterionic Photocurable Resin for High‐Resolution 3D Printing of Ultralow‐Fouling Microstructures. Small Methods. 9(12). e01222–e01222.
2.
Sui, Yuan, et al.. (2025). FiDeLiS: Faithful Reasoning in Large Language Models for Knowledge Graph Question Answering. 8315–8330. 1 indexed citations
3.
Chen, Shi, Kun Wang, Pengfei Liu, et al.. (2025). Optimization Study of Pneumatic–Electric Combined Braking Strategy for 30,000-ton Heavy-Haul Trains. Actuators. 14(1). 40–40. 1 indexed citations
4.
Wang, Kun, et al.. (2025). Puffer: A Serverless Platform Based on Vertical Memory Scaling. IEEE Transactions on Parallel and Distributed Systems. 37(1). 184–197.
5.
Zhang, Qihui, et al.. (2024). Capture dynamics and driving method of origami capture mechanism in orbit. Thin-Walled Structures. 201. 112019–112019. 4 indexed citations
6.
Wang, Kun, Houbing Huang, Ruilong Yang, et al.. (2024). Pushing the high- k scalability limit with a superparaelectric gate layer. Journal of Advanced Ceramics. 13(4). 539–547. 1 indexed citations
7.
Zhang, Zheng, et al.. (2024). Bubbles Management for Enhanced Catalytic Water Splitting Performance. Catalysts. 14(4). 254–254. 21 indexed citations
8.
Wang, Kun, et al.. (2024). Adaptive adjustable performance function based direct prescribed performance control for spacecraft flying around mission. Journal of Physics Conference Series. 2746(1). 12052–12052.
10.
Wang, Kun, et al.. (2023). MAT-transformer-based state forecasting method for information devices. Future Generation Computer Systems. 147. 360–370. 1 indexed citations
11.
Wang, Kun, et al.. (2023). A Joint Allocation Method of Multi-Jammer Cooperative Jamming Resources Based on Suppression Effectiveness. Mathematics. 11(4). 826–826. 7 indexed citations
12.
Chen, Siguang, Bei Tang, & Kun Wang. (2022). Twin delayed deep deterministic policy gradient-based intelligent computation offloading for IoT. Digital Communications and Networks. 9(4). 836–845. 13 indexed citations
13.
Liu, Hefei, et al.. (2021). Keyword Semantic Extended Top-k Ciphertext Retrieval Scheme Over Hybrid Government Cloud Environment. IEEE Access. 9. 155249–155259. 1 indexed citations
14.
Huang, Shangshi, et al.. (2020). Influence of an explosion air shock wave on arc quenching inside a cylinder. AIP Advances. 10(2). 4 indexed citations
15.
Wang, Kun, Jun He, & Lei Zhang. (2020). Sequential Weakly Labeled Multi-Activity Recognition and Location on Wearable Sensors using Recurrent Attention Network. arXiv (Cornell University). 2 indexed citations
16.
Wang, Yanhua, et al.. (2018). A Secure and Efficient Ciphertext Encryption Scheme Based on Attribute and Support Strategy Dynamic Update Via Hybrid Encryption.. Int. J. Netw. Secur.. 20. 907–913. 1 indexed citations
17.
Chen, Zhi, Wei Zhang, Bin Chen, et al.. (2017). MicroRNA-300 Regulates the Ubiquitination of PTEN through the CRL4BDCAF13 E3 Ligase in Osteosarcoma Cells. Molecular Therapy — Nucleic Acids. 10. 254–268. 56 indexed citations
18.
Wang, Kun, et al.. (2017). Optimal transmission strategy for sensors to defend against eavesdropping and jamming attacks. Rare & Special e-Zone (The Hong Kong University of Science and Technology). 1–6. 11 indexed citations
19.
Zhang, Jingyu, Zhi-Jie Wang, Kun Wang, et al.. (2017). Improving Power Efficiency for Online Video Streaming Service: A Self-Adaptive Approach. IEEE Transactions on Sustainable Computing. 4(3). 308–313. 2 indexed citations
20.
Wang, Kun, et al.. (2001). Adaptive Parametric Schemes for Analysis and Synthesis of Musical Signals. Journal of the Audio Engineering Society. 49(5). 353–365. 1 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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