Kun Xie

3.8k total citations
143 papers, 2.7k citations indexed

About

Kun Xie is a scholar working on Computer Networks and Communications, Artificial Intelligence and Electrical and Electronic Engineering. According to data from OpenAlex, Kun Xie has authored 143 papers receiving a total of 2.7k indexed citations (citations by other indexed papers that have themselves been cited), including 77 papers in Computer Networks and Communications, 41 papers in Artificial Intelligence and 39 papers in Electrical and Electronic Engineering. Recurrent topics in Kun Xie's work include Sparse and Compressive Sensing Techniques (34 papers), Tensor decomposition and applications (32 papers) and Traffic Prediction and Management Techniques (23 papers). Kun Xie is often cited by papers focused on Sparse and Compressive Sensing Techniques (34 papers), Tensor decomposition and applications (32 papers) and Traffic Prediction and Management Techniques (23 papers). Kun Xie collaborates with scholars based in China, United States and Hong Kong. Kun Xie's co-authors include Jigang Wen, Xin Wang, Dafang Zhang, Gaogang Xie, Jiannong Cao, Lele Wang, Zulong Diao, Shiming He, Xiaocan Li and Shaoyao He and has published in prestigious journals such as IEEE Transactions on Power Systems, IEEE Access and Sensors.

In The Last Decade

Kun Xie

127 papers receiving 2.6k citations

Peers

Kun Xie
Dafang Zhang China
Dingde Jiang China
Xiaokang Wang China
Degan Zhang China
Xinxin Feng China
Dongliang Xie China
Degan Zhang China
Cailian Chen China
Guojiang Shen China
Huachun Tan China
Dafang Zhang China
Kun Xie
Citations per year, relative to Kun Xie Kun Xie (= 1×) peers Dafang Zhang

Countries citing papers authored by Kun Xie

Since Specialization
Citations

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

Fields of papers citing papers by Kun Xie

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Kun Xie

This figure shows the co-authorship network connecting the top 25 collaborators of Kun Xie. A scholar is included among the top collaborators of Kun Xie 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 Xie. Kun Xie 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.
Zhang, Dafang, et al.. (2024). Dynamic multi-scale spatial–temporal graph convolutional network for traffic flow prediction. Future Generation Computer Systems. 158. 323–332. 19 indexed citations
2.
Li, Xiaocan, et al.. (2024). Network Monitoring Data Recovery Based on Flexible Bi-Directional Model. IEEE Transactions on Network Science and Engineering. 12(2). 623–635.
3.
Xie, Kun, et al.. (2024). INT-MC: Low-Overhead In-Band Network-Wide Telemetry Based on Matrix Completion. Proceedings of the ACM on Measurement and Analysis of Computing Systems. 8(3). 1–30. 3 indexed citations
4.
5.
Xie, Kun, et al.. (2024). An Accuracy-Preserving Neural Network Compression via Tucker Decomposition. IEEE Transactions on Sustainable Computing. 10(2). 262–273. 1 indexed citations
6.
7.
Wen, Jigang, Xiaocan Li, Kun Xie, Wei Liang, & Gaogang Xie. (2024). J-Tucker: Joint Compression Scheme for Efficient Deployment of Multi-Task Deep Learning Models on Edge Devices. IEEE Network. 39(2). 13–19.
8.
Xie, Kun, et al.. (2024). Enhanced Tube-Based Sampling for Accurate Network Distance Measurement with Minimal Sampling Scheduling Overhead. IEEE Transactions on Services Computing. 18(1). 169–183.
9.
Wen, Jigang, Kun Xie, Wei Liang, et al.. (2024). M$^{2}$STL: Multi-Range Multi-Level Spatial-Temporal Learning Model for Network Traffic Prediction. IEEE Transactions on Network Science and Engineering. 11(5). 4315–4329.
10.
Xie, Kun, Xin Wang, Xiaocan Li, et al.. (2024). Neural Network Compression Based on Tensor Ring Decomposition. IEEE Transactions on Neural Networks and Learning Systems. 36(3). 5388–5402. 5 indexed citations
11.
Xie, Kun, Jigang Wen, Guangxing Zhang, et al.. (2024). PetTC: Pairwise Joint Embedding Based Contrastive Tensor Completion for Network Traffic Monitoring Services. IEEE Transactions on Services Computing. 18(1). 357–371.
12.
Xie, Kun, et al.. (2024). A Robust Low-Rank Tensor Decomposition and Quantization based Compression Method. 995–1008. 2 indexed citations
13.
Xie, Songyou, Lijun Xiao, Dezhi Han, et al.. (2023). HCVC: A High-Capacity Off-Chain Virtual Channel Scheme Based on Bidirectional Locking Mechanism. IEEE Transactions on Network Science and Engineering. 11(5). 3995–4006. 6 indexed citations
14.
Xie, Kun, et al.. (2023). CS-Sketch: Compressive Sensing Enhanced Sketch for Full Traffic Measurement. IEEE Transactions on Network Science and Engineering. 11(3). 2338–2352. 3 indexed citations
15.
Wen, Jigang, et al.. (2023). On-Line Network Traffic Anomaly Detection Based on Tensor Sketch. IEEE Transactions on Parallel and Distributed Systems. 34(12). 3028–3045. 2 indexed citations
16.
Li, Xiaocan, Kun Xie, Xin Wang, et al.. (2023). A Light-Weight and Robust Tensor Convolutional Autoencoder for Anomaly Detection. IEEE Transactions on Knowledge and Data Engineering. 36(9). 4346–4360. 6 indexed citations
17.
Xie, Kun, et al.. (2023). HPETC: History Priority Enhanced Tensor Completion for Network Distance Measurement. IEEE Transactions on Parallel and Distributed Systems. 35(6). 1012–1028. 6 indexed citations
18.
Xiao, Ling, et al.. (2020). Online MECG Compression Based on Incremental Tensor Decomposition for Wearable Devices. IEEE Journal of Biomedical and Health Informatics. 25(4). 1041–1051. 5 indexed citations
19.
Zhao, Ping, Hongbo Jiang, Jie Li, et al.. (2019). Synthesizing Privacy Preserving Traces: Enhancing Plausibility With Social Networks. IEEE/ACM Transactions on Networking. 27(6). 2391–2404. 30 indexed citations
20.
He, Shiming, et al.. (2019). Multi-Source Reliable Multicast Routing with QoS Constraints of NFV in Edge Computing. Electronics. 8(10). 1106–1106. 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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