Kui Wu

6.2k total citations · 1 hit paper
212 papers, 4.1k citations indexed

About

Kui Wu is a scholar working on Computer Networks and Communications, Electrical and Electronic Engineering and Artificial Intelligence. According to data from OpenAlex, Kui Wu has authored 212 papers receiving a total of 4.1k indexed citations (citations by other indexed papers that have themselves been cited), including 132 papers in Computer Networks and Communications, 63 papers in Electrical and Electronic Engineering and 59 papers in Artificial Intelligence. Recurrent topics in Kui Wu's work include Mobile Ad Hoc Networks (32 papers), Energy Efficient Wireless Sensor Networks (31 papers) and Caching and Content Delivery (26 papers). Kui Wu is often cited by papers focused on Mobile Ad Hoc Networks (32 papers), Energy Efficient Wireless Sensor Networks (31 papers) and Caching and Content Delivery (26 papers). Kui Wu collaborates with scholars based in Canada, China and United States. Kui Wu's co-authors include Bo Sun, Yang Xiao, Jianping Wang, Guoming Tang, Chong Liu, Jian Pei, Kejie Lu, Udo W. Pooch, Jingsheng Lei and Janelle Harms and has published in prestigious journals such as SHILAP Revista de lepidopterología, Journal of Hazardous Materials and Chemosphere.

In The Last Decade

Kui Wu

201 papers receiving 3.9k citations

Hit Papers

HiVT: Hierarchical Vector... 2022 2026 2023 2024 2022 50 100 150 200

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Kui Wu 2.5k 1.5k 803 532 524 212 4.1k
Liang Zhao 2.1k 0.8× 1.7k 1.1× 993 1.2× 594 1.1× 668 1.3× 321 4.5k
Abderrahim Benslimane 2.6k 1.1× 2.0k 1.4× 832 1.0× 358 0.7× 642 1.2× 189 4.1k
Linghe Kong 2.6k 1.0× 3.0k 2.0× 832 1.0× 688 1.3× 1.0k 1.9× 258 6.0k
Chunsheng Zhu 3.1k 1.3× 1.5k 1.0× 1.1k 1.3× 459 0.9× 1.1k 2.1× 177 4.9k
Liviu Iftode 3.2k 1.3× 1.9k 1.3× 727 0.9× 407 0.8× 714 1.4× 154 4.8k
Lei Wang 1.8k 0.7× 1.9k 1.3× 796 1.0× 375 0.7× 609 1.2× 281 3.9k
Yunhuai Liu 1.4k 0.5× 1.6k 1.1× 618 0.8× 449 0.8× 321 0.6× 165 3.6k
Abdul Hanan Abdullah 3.5k 1.4× 2.6k 1.8× 1.2k 1.5× 1.2k 2.2× 757 1.4× 261 6.5k
Nadra Guizani 2.2k 0.9× 1.1k 0.8× 1.2k 1.5× 443 0.8× 1.4k 2.7× 104 4.4k
Kaigui Bian 2.2k 0.9× 2.7k 1.9× 604 0.8× 803 1.5× 268 0.5× 177 5.0k

Countries citing papers authored by Kui Wu

Since Specialization
Citations

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

Fields of papers citing papers by Kui Wu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Kui Wu

This figure shows the co-authorship network connecting the top 25 collaborators of Kui Wu. A scholar is included among the top collaborators of Kui Wu 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 Kui Wu. Kui Wu 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.
2.
Liu, Xiaowei, et al.. (2024). The effect of multiple factors on changes in organic-inorganic fractions of condensable particulate matter during coal combustion. Chemosphere. 353. 141638–141638. 2 indexed citations
3.
Wu, Kui, Weisheng Hu, Qi Yu, Yixin Yu, & Sanyi Yuan. (2024). Salt dome identification using incremental semi-supervised learning and unsupervised learning-based label generation. Journal of Applied Geophysics. 230. 105552–105552.
4.
Qin, Peng, et al.. (2024). Packet Routing and Energy Cooperation for RTU Satellite-Terrestrial Multi-Hop Network in Remote Cyber-Physical Power System. IEEE Transactions on Network Science and Engineering. 11(4). 3585–3597. 7 indexed citations
5.
Li, Tan, et al.. (2023). Killing two birds with one stone: Quantization achieves privacy in distributed learning. Digital Signal Processing. 146. 104353–104353. 5 indexed citations
6.
Wu, Kui, et al.. (2023). Time2State: An Unsupervised Framework for Inferring the Latent States in Time Series Data. Proceedings of the ACM on Management of Data. 1(1). 1–18. 8 indexed citations
7.
Li, Fengyong, et al.. (2023). Multi-Modality Ensemble Distortion for Spatial Steganography With Dynamic Cost Correction. IEEE Transactions on Dependable and Secure Computing. 21(4). 1557–1571. 6 indexed citations
8.
Cai, Zhiping, et al.. (2023). 6Scan: A High-Efficiency Dynamic Internet-Wide IPv6 Scanner With Regional Encoding. IEEE/ACM Transactions on Networking. 31(4). 1870–1885. 23 indexed citations
9.
Cai, Zhiping, et al.. (2023). Search in the Expanse: Towards Active and Global IPv6 Hitlists. 1–10. 10 indexed citations
10.
Zhou, Zikang, Luyao Ye, Jianping Wang, Kui Wu, & Kejie Lu. (2022). HiVT: Hierarchical Vector Transformer for Multi-Agent Motion Prediction. 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR). 8813–8823. 204 indexed citations breakdown →
11.
Zhang, Yifan, Xinhong Chen, Jianping Wang, Zuduo Zheng, & Kui Wu. (2022). A generative car-following model conditioned on driving styles. Transportation Research Part C Emerging Technologies. 145. 103926–103926. 41 indexed citations
12.
Cai, Zhiping, et al.. (2021). 6Graph: A graph-theoretic approach to address pattern mining for Internet-wide IPv6 scanning. Computer Networks. 203. 108666–108666. 26 indexed citations
13.
Wu, Kui, et al.. (2021). TSAGen: Synthetic Time Series Generation for KPI Anomaly Detection. IEEE Transactions on Network and Service Management. 19(1). 130–145. 23 indexed citations
14.
Wu, Kui, et al.. (2021). A Whittle Index Approach to Minimizing Age of Multi-Packet Information in IoT Network. IEEE Access. 9. 31467–31480. 13 indexed citations
15.
Chen, Haiwen, Huan Zhou, Jiaping Yu, et al.. (2021). Trusted audit with untrusted auditors: A decentralized data integrity Crowdauditing approach based on blockchain. International Journal of Intelligent Systems. 36(11). 6213–6239. 13 indexed citations
16.
Yu, Jiaping, Haiwen Chen, Kui Wu, et al.. (2021). EviChain: A scalable blockchain for accountable intelligent surveillance systems. International Journal of Intelligent Systems. 37(2). 1454–1478. 4 indexed citations
17.
Ye, Luyao, et al.. (2021). GSAN: Graph Self-Attention Network for Learning Spatial–Temporal Interaction Representation in Autonomous Driving. IEEE Internet of Things Journal. 9(12). 9190–9204. 32 indexed citations
18.
Yu, Jiaping, Haiwen Chen, Kui Wu, et al.. (2021). Centipede: Leveraging the Distributed Camera Crowd for Cooperative Video Data Storage. IEEE Internet of Things Journal. 8(22). 16498–16509. 8 indexed citations
19.
Wang, Fangxin, Wei Gong, Jiangchuan Liu, & Kui Wu. (2018). Channel Selective Activity Recognition with WiFi: A Deep Learning Approach Exploring Wideband Information. IEEE Transactions on Network Science and Engineering. 7(1). 181–192. 50 indexed citations
20.
Ling, Zhen, Junzhou Luo, Kui Wu, Wei Yu, & Xinwen Fu. (2014). TorWard: Discovery of malicious traffic over Tor. 1402–1410. 27 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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