Huanlai Xing

4.6k total citations · 7 hit papers
145 papers, 3.2k citations indexed

About

Huanlai Xing is a scholar working on Computer Networks and Communications, Artificial Intelligence and Electrical and Electronic Engineering. According to data from OpenAlex, Huanlai Xing has authored 145 papers receiving a total of 3.2k indexed citations (citations by other indexed papers that have themselves been cited), including 82 papers in Computer Networks and Communications, 54 papers in Artificial Intelligence and 47 papers in Electrical and Electronic Engineering. Recurrent topics in Huanlai Xing's work include Software-Defined Networks and 5G (25 papers), IoT and Edge/Fog Computing (21 papers) and Cooperative Communication and Network Coding (20 papers). Huanlai Xing is often cited by papers focused on Software-Defined Networks and 5G (25 papers), IoT and Edge/Fog Computing (21 papers) and Cooperative Communication and Network Coding (20 papers). Huanlai Xing collaborates with scholars based in China, United Kingdom and United States. Huanlai Xing's co-authors include Zhiwen Xiao, Penglin Dai, Shouxi Luo, Dawei Zhan, Rong Qu, Bowen Zhao, Fuhong Song, Xinhan Wang, Zhaofei Yu and Lexi Xu and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and IEEE Transactions on Geoscience and Remote Sensing.

In The Last Decade

Huanlai Xing

128 papers receiving 3.1k citations

Hit Papers

A DRL Agent for Jointly Optimizing Computation Offloading... 2021 2026 2022 2024 2021 2021 2022 2023 2024 50 100 150
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. A DRL Agent for Jointly Optimizing Computation Offloading and Resource Allocation in MEC
    2021 194 citations Huanlai Xing, Zhiwen Xiao et al. profile →
  2. A federated learning system with enhanced feature extraction for human activity recognition
    2021 184 citations Zhiwen Xiao, Xin Xu et al. Knowledge-Based Systems profile →
  3. An Efficient Federated Distillation Learning System for Multitask Time Series Classification
    2022 124 citations Huanlai Xing, Zhiwen Xiao et al. IEEE Transactions on Instrumentation and Measurement profile →
  4. Deep Contrastive Representation Learning With Self-Distillation
    2023 105 citations Zhiwen Xiao, Huanlai Xing et al. IEEE Transactions on Emerging Topics in Computational Intelligence profile →
  5. Densely Knowledge-Aware Network for Multivariate Time Series Classification
    2024 105 citations Zhiwen Xiao, Huanlai Xing et al. IEEE Transactions on Systems Man and Cybernetics Systems profile →
  6. CapMatch: Semi-Supervised Contrastive Transformer Capsule With Feature-Based Knowledge Distillation for Human Activity Recognition
    2023 99 citations Zhiwen Xiao, Huagang Tong et al. IEEE Transactions on Neural Networks and Learning Systems profile →
  7. DTCM: Deep Transformer Capsule Mutual Distillation for Multivariate Time Series Classification
    2024 67 citations Zhiwen Xiao, Huanlai Xing et al. IEEE Transactions on Cognitive and Developmental Systems profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Huanlai Xing China 29 1.4k 1.2k 658 536 416 145 3.2k
Thambipillai Srikanthan Singapore 29 1.2k 0.8× 667 0.6× 921 1.4× 766 1.4× 558 1.3× 322 3.4k
Bo Li China 27 1.2k 0.8× 1.3k 1.1× 728 1.1× 771 1.4× 256 0.6× 224 3.8k
Zhiping Cai China 33 2.3k 1.6× 1.8k 1.6× 901 1.4× 853 1.6× 713 1.7× 229 4.5k
Xi Zheng Australia 33 1.4k 1.0× 1.4k 1.2× 814 1.2× 540 1.0× 1.1k 2.7× 195 3.9k
Hanlin Zhang China 23 1.7k 1.2× 1.0k 0.9× 747 1.1× 409 0.8× 1.1k 2.7× 101 3.2k
Zoran Salčić New Zealand 26 610 0.4× 890 0.8× 954 1.4× 460 0.9× 193 0.5× 255 3.0k
Vaneet Aggarwal United States 30 1.5k 1.1× 631 0.5× 1.5k 2.3× 615 1.1× 238 0.6× 251 3.6k
Joongheon Kim South Korea 29 1.1k 0.8× 1.0k 0.9× 1.0k 1.5× 489 0.9× 493 1.2× 207 3.1k
Zonghua Gu China 28 1.3k 0.9× 633 0.5× 595 0.9× 607 1.1× 517 1.2× 127 3.1k
Xiaoheng Deng China 30 1.5k 1.0× 647 0.6× 915 1.4× 646 1.2× 496 1.2× 175 2.9k

Countries citing papers authored by Huanlai Xing

Since Specialization
Citations

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

Fields of papers citing papers by Huanlai Xing

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Huanlai Xing

This figure shows the co-authorship network connecting the top 25 collaborators of Huanlai Xing. A scholar is included among the top collaborators of Huanlai Xing 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 Huanlai Xing. Huanlai Xing 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.
Xing, Huanlai, et al.. (2025). MGATAF: multi-channel graph attention network with adaptive fusion for cancer-drug response prediction. BMC Bioinformatics. 26(1). 19–19. 1 indexed citations
2.
Zheng, Danyang, et al.. (2025). Toward Prompt Chain Deployment in Zero Trust-Enabled Compute First Networks. IEEE Transactions on Consumer Electronics. 71(3). 8163–8177.
3.
Wang, Chao, et al.. (2025). NFV-Based Security Estimation and Classification Approaches for AIGC-Enabled Edge Networks. IEEE Transactions on Network Science and Engineering. 13. 4008–4025.
4.
Xiao, Zhiwen, Huanlai Xing, Rong Qu, et al.. (2025). Knowledge Aggregation Transformer Network for Multivariate Time Series Classification. IEEE Transactions on Big Data. 11(6). 3413–3429. 1 indexed citations
5.
Wu, Yuan, et al.. (2025). QoE-Aware Latency Optimization in Semantic Transmission Empowered Edge Assisted AR. IEEE Transactions on Vehicular Technology. 74(9). 14432–14444. 1 indexed citations
6.
Xiao, Zhiwen, Huanlai Xing, Rong Qu, et al.. (2025). Heterogeneous Mutual Knowledge Distillation for Wearable Human Activity Recognition. IEEE Transactions on Neural Networks and Learning Systems. 36(9). 16589–16603. 11 indexed citations
7.
Xing, Huanlai, et al.. (2025). Large Model Empowered Multi-Modal Semantic Communication With Selective Tokens for Training. IEEE Signal Processing Letters. 32. 2967–2971.
8.
Xiao, Zhiwen, et al.. (2025). Attentional Knowledge-Based State-Space Model for Electrocardiogram Signal Classification. IEEE Transactions on Instrumentation and Measurement. 74. 1–15.
9.
Zheng, Danyang, et al.. (2024). A cost-provable solution for reliable in-network computing-enabled services deployment. Computer Networks. 257. 110997–110997.
10.
Deng, Mingsen, et al.. (2024). AoI and Energy Tradeoff for Aerial-Ground Collaborative MEC: A Multi-Objective Learning Approach. IEEE Transactions on Mobile Computing. 23(12). 11278–11294. 15 indexed citations
11.
12.
Xing, Huanlai, et al.. (2024). FedCSCD-GAN: A secure and collaborative framework for clinical cancer diagnosis via optimized federated learning and GAN. Biomedical Signal Processing and Control. 89. 105893–105893. 16 indexed citations
13.
Xiao, Zhiwen, Huanlai Xing, Rong Qu, et al.. (2024). Densely Knowledge-Aware Network for Multivariate Time Series Classification. IEEE Transactions on Systems Man and Cybernetics Systems. 54(4). 2192–2204. 105 indexed citations breakdown →
14.
Xiao, Zhiwen, Huanlai Xing, Bowen Zhao, et al.. (2024). DTCM: Deep Transformer Capsule Mutual Distillation for Multivariate Time Series Classification. IEEE Transactions on Cognitive and Developmental Systems. 16(4). 1445–1461. 67 indexed citations breakdown →
15.
Xiao, Zhiwen, Huagang Tong, Rong Qu, et al.. (2023). CapMatch: Semi-Supervised Contrastive Transformer Capsule With Feature-Based Knowledge Distillation for Human Activity Recognition. IEEE Transactions on Neural Networks and Learning Systems. 36(2). 2690–2704. 99 indexed citations breakdown →
16.
Xiao, Zhiwen, Huanlai Xing, Bowen Zhao, et al.. (2023). Deep Contrastive Representation Learning With Self-Distillation. IEEE Transactions on Emerging Topics in Computational Intelligence. 8(1). 3–15. 105 indexed citations breakdown →
17.
Song, Fuhong, Huanlai Xing, Xinhan Wang, et al.. (2022). Evolutionary Multi-Objective Reinforcement Learning Based Trajectory Control and Task Offloading in UAV-Assisted Mobile Edge Computing. IEEE Transactions on Mobile Computing. 1–18. 103 indexed citations
18.
Xiao, Zhiwen, Xin Xu, Huanlai Xing, et al.. (2021). A federated learning system with enhanced feature extraction for human activity recognition. Knowledge-Based Systems. 229. 107338–107338. 184 indexed citations breakdown →
19.
Xing, Huanlai, Fuhong Song, Lianshan Yan, & Wei Pan. (2019). On multicast routing with network coding: A multiobjective artificial bee colony algorithm. China Communications. 16(2). 160–176. 6 indexed citations
20.
Xing, Huanlai. (2010). An Algorithm of Establishing Network Coding-Based Two-Disjoint Path Multicast Tree. Dianzi xuebao. 3 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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