Xiaonong Lu

624 total citations · 1 hit paper
26 papers, 416 citations indexed

About

Xiaonong Lu is a scholar working on Computer Networks and Communications, Management of Technology and Innovation and Artificial Intelligence. According to data from OpenAlex, Xiaonong Lu has authored 26 papers receiving a total of 416 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Computer Networks and Communications, 4 papers in Management of Technology and Innovation and 4 papers in Artificial Intelligence. Recurrent topics in Xiaonong Lu's work include Caching and Content Delivery (7 papers), Peer-to-Peer Network Technologies (6 papers) and Network Traffic and Congestion Control (4 papers). Xiaonong Lu is often cited by papers focused on Caching and Content Delivery (7 papers), Peer-to-Peer Network Technologies (6 papers) and Network Traffic and Congestion Control (4 papers). Xiaonong Lu collaborates with scholars based in China, Montenegro and Saudi Arabia. Xiaonong Lu's co-authors include Qiang Zhang, Shuangyao Zhao, Xiaoan Tang, Ting Huang, Zhanglin Peng, Baoqun Yin, Anning Wang, Yu Kang, Jie Cao and Xin Chen and has published in prestigious journals such as Energy, International Journal of Production Research and IEEE Transactions on Systems Man and Cybernetics Systems.

In The Last Decade

Xiaonong Lu

26 papers receiving 401 citations

Hit Papers

A novel fault diagnosis method based on CNN and LSTM and ... 2021 2026 2022 2024 2021 50 100 150 200

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Xiaonong Lu China 7 180 99 69 65 47 26 416
Shuangyao Zhao China 8 189 1.1× 88 0.9× 54 0.8× 98 1.5× 48 1.0× 18 450
Arindam Roy India 14 105 0.6× 120 1.2× 143 2.1× 11 0.2× 54 1.1× 39 519
Rafael Batres Japan 13 90 0.5× 159 1.6× 183 2.7× 115 1.8× 44 0.9× 66 594
Davide Mezzogori Italy 8 61 0.3× 68 0.7× 192 2.8× 57 0.9× 15 0.3× 24 469
Igor Kabashkin Latvia 11 66 0.4× 30 0.3× 74 1.1× 31 0.5× 18 0.4× 80 385
Alojzij Sluga Slovenia 14 53 0.3× 31 0.3× 313 4.5× 121 1.9× 23 0.5× 29 605
Zohaib Jan Australia 10 52 0.3× 117 1.2× 102 1.5× 26 0.4× 5 0.1× 19 443
Mattia Neroni Italy 7 59 0.3× 62 0.6× 194 2.8× 57 0.9× 13 0.3× 25 455

Countries citing papers authored by Xiaonong Lu

Since Specialization
Citations

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

Fields of papers citing papers by Xiaonong Lu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Xiaonong Lu

This figure shows the co-authorship network connecting the top 25 collaborators of Xiaonong Lu. A scholar is included among the top collaborators of Xiaonong Lu 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 Xiaonong Lu. Xiaonong Lu 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.
Peng, Zhanglin, et al.. (2024). An evaluation model for selection of large-scale product concept design schemes in design crowdsourcing environment. Advanced Engineering Informatics. 62. 102680–102680. 1 indexed citations
2.
Peng, Zhanglin, et al.. (2024). Hybrid price prediction method combining TCN-BiGRU and attention mechanism for battery-grade lithium carbonate. Kybernetes. 54(14). 7662–7688. 1 indexed citations
3.
Zhang, Qiang, et al.. (2024). Integrating Outlier-Type Prior Knowledge Into Convolutional Neural Networks Based on an Attention Mechanism for Fault Diagnosis. IEEE Transactions on Systems Man and Cybernetics Systems. 54(12). 7834–7847. 3 indexed citations
4.
Peng, Zhanglin, et al.. (2022). Deep learning-based recommendation method for top-K tasks in software crowdsourcing systems. Journal of Industrial and Management Optimization. 19(9). 6478–6499. 13 indexed citations
5.
Song, Hao, et al.. (2022). Collaborative optimization for energy saving and service composition in multi-granularity heavy-duty equipment cloud manufacturing environment. Journal of Industrial and Management Optimization. 19(4). 2742–2771. 5 indexed citations
6.
Huang, Ting, Qiang Zhang, Xiaoan Tang, Shuangyao Zhao, & Xiaonong Lu. (2021). A novel fault diagnosis method based on CNN and LSTM and its application in fault diagnosis for complex systems. Artificial Intelligence Review. 55(2). 1289–1315. 218 indexed citations breakdown →
7.
Lu, Xiaonong, Qiang Zhang, Zhanglin Peng, et al.. (2020). Charging and relocating optimization for electric vehicle car-sharing: An event-based strategy improvement approach. Energy. 207. 118285–118285. 20 indexed citations
8.
Wang, Anning, Qiang Zhang, Shuangyao Zhao, Xiaonong Lu, & Zhanglin Peng. (2020). A review-driven customer preference measurement model for product improvement: sentiment-based importance–performance analysis. Information Systems and e-Business Management. 18(1). 61–88. 48 indexed citations
9.
Zhang, Qiang, et al.. (2019). An adaptive agent-based process model for optimizing innovative design. Optimization Letters. 15(2). 591–612. 1 indexed citations
10.
Cao, Jie, Baoqun Yin, Xiaonong Lu, Yu Kang, & Xin Chen. (2017). A modified artificial bee colony approach for the 0-1 knapsack problem. Applied Intelligence. 48(6). 1582–1595. 40 indexed citations
11.
Yin, Baoqun, Jie Cao, Yu Kang, Xiaonong Lu, & Xiaofeng Jiang. (2017). A novel POMDP-based server RAM caching algorithm for VoD systems. Multimedia Tools and Applications. 77(10). 13023–13045. 1 indexed citations
12.
Yin, Baoqun, et al.. (2016). Probabilistic risk assessment of multi-state systems based on Bayesian networks. 2016 18th International Conference on Advanced Communication Technology (ICACT). 2 indexed citations
14.
Yin, Baoqun, Xiaonong Lu, Jing Huang, & Yu Kang. (2016). Analysis of topology dynamics for unstructured P2P networks. Computer Communications. 80. 72–81. 6 indexed citations
15.
Lu, Xiaonong, Baoqun Yin, Xiaofeng Zhang, Jie Cao, & Yu Kang. (2015). Event-based optimization for admission control in distributed service system. Telecommunication Systems. 62(3). 553–567. 2 indexed citations
16.
Lu, Xiaonong, Baoqun Yin, & Haipeng Zhang. (2014). Switching-POMDP based admission control policies for service systems with distributed architecture. 38. 209–214. 3 indexed citations
17.
Zhang, Haipeng, Baoqun Yin, & Xiaonong Lu. (2014). Modeling and Analysis for Streaming Service Systems. International Journal of Automation and Computing. 11(4). 449–458. 1 indexed citations
18.
Lu, Xiaonong, Baoqun Yin, & Haipeng Zhang. (2014). A reinforcement-learning approach for admission control in distributed network service systems. Journal of Combinatorial Optimization. 31(3). 1241–1268. 3 indexed citations
19.
Zhang, Haipeng, Baoqun Yin, & Xiaonong Lu. (2012). A dynamic model of BitTorrent-like P2P file-sharing system. Chinese Control Conference. 5513–5517. 3 indexed citations
20.
Lu, Xiaonong, Baoqun Yin, Haipeng Zhang, & Qiang Ling. (2012). Admission control scheme for distributed service systems based on model and prediction. Chinese Control Conference. 5518–5523. 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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026