Lanjun Wan

897 total citations · 1 hit paper
38 papers, 620 citations indexed

About

Lanjun Wan is a scholar working on Computer Networks and Communications, Control and Systems Engineering and Mechanical Engineering. According to data from OpenAlex, Lanjun Wan has authored 38 papers receiving a total of 620 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Computer Networks and Communications, 15 papers in Control and Systems Engineering and 10 papers in Mechanical Engineering. Recurrent topics in Lanjun Wan's work include Machine Fault Diagnosis Techniques (12 papers), Optimization and Search Problems (9 papers) and Gear and Bearing Dynamics Analysis (9 papers). Lanjun Wan is often cited by papers focused on Machine Fault Diagnosis Techniques (12 papers), Optimization and Search Problems (9 papers) and Gear and Bearing Dynamics Analysis (9 papers). Lanjun Wan collaborates with scholars based in China and United States. Lanjun Wan's co-authors include Changyun Li, Yuanyuan Li, Keyu Chen, Keqin Li, Yiwei Chen, Kenli Li, Xiaojun Deng, Longxin Zhang, Jing Liu and Zhibing Wang and has published in prestigious journals such as IEEE Access, Sensors and Knowledge-Based Systems.

In The Last Decade

Lanjun Wan

37 papers receiving 588 citations

Hit Papers

A novel deep convolution multi-adversarial domain adaptat... 2022 2026 2023 2024 2022 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 novel deep convolution multi-adversarial domain adaptation model for rolling bearing fault diagnosis
    2022 151 citations Lanjun Wan, Yuanyuan Li et al. profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Lanjun Wan China 14 348 209 123 110 102 38 620
Shimeng Wu China 10 432 1.2× 114 0.5× 136 1.1× 39 0.4× 50 0.5× 23 656
Ehsan Hallaji Canada 11 321 0.9× 129 0.6× 188 1.5× 23 0.2× 51 0.5× 23 522
Chuanjiang Li China 14 519 1.5× 268 1.3× 265 2.2× 65 0.6× 144 1.4× 35 774
Indranil Roychoudhury United States 17 736 2.1× 125 0.6× 230 1.9× 32 0.3× 61 0.6× 65 1.0k
Yindong Ji China 12 263 0.8× 139 0.7× 45 0.4× 74 0.7× 20 0.2× 57 491
Aisong Qin China 14 553 1.6× 279 1.3× 127 1.0× 55 0.5× 200 2.0× 30 713
Gregory J. Kacprzynski United States 15 506 1.5× 127 0.6× 93 0.8× 25 0.2× 130 1.3× 33 756
Yiyao An China 9 768 2.2× 340 1.6× 222 1.8× 49 0.4× 243 2.4× 18 933

Countries citing papers authored by Lanjun Wan

Since Specialization
Citations

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

Fields of papers citing papers by Lanjun Wan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Lanjun Wan

This figure shows the co-authorship network connecting the top 25 collaborators of Lanjun Wan. A scholar is included among the top collaborators of Lanjun Wan 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 Lanjun Wan. Lanjun Wan 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.
Wan, Lanjun, et al.. (2025). An efficient method for solving large-scale open shop scheduling problem based on Horovod-GPU and improved graph attention network. Computers & Industrial Engineering. 207. 111306–111306.
2.
Wan, Lanjun, et al.. (2024). A novel meta-transfer learning approach via convolutional multi-head self-attention network for few-shot fault diagnosis. Knowledge-Based Systems. 299. 112113–112113. 10 indexed citations
3.
Wan, Lanjun, et al.. (2024). Efficient cross-domain fault diagnosis via distributed multi-source domain deep transfer learning. Measurement Science and Technology. 36(1). 16165–16165. 3 indexed citations
4.
Wan, Lanjun, et al.. (2024). An effective multi-agent-based graph reinforcement learning method for solving flexible job shop scheduling problem. Engineering Applications of Artificial Intelligence. 139. 109557–109557. 5 indexed citations
5.
Wan, Lanjun, et al.. (2024). A novel hybrid data-driven domain generalization approach with dual-perspective feature fusion for intelligent fault diagnosis. Engineering Applications of Artificial Intelligence. 139. 109614–109614. 3 indexed citations
6.
Wan, Lanjun, et al.. (2024). A novel method for solving dynamic flexible job-shop scheduling problem via DIFFormer and deep reinforcement learning. Computers & Industrial Engineering. 198. 110688–110688. 9 indexed citations
7.
Wan, Lanjun, et al.. (2024). Flexible job shop scheduling via deep reinforcement learning with meta-path-based heterogeneous graph neural network. Knowledge-Based Systems. 296. 111940–111940. 23 indexed citations
8.
Wan, Lanjun, et al.. (2023). Intelligent fault diagnosis via ring-based decentralized federated transfer learning. Knowledge-Based Systems. 284. 111288–111288. 21 indexed citations
9.
Wan, Lanjun, et al.. (2023). Intelligent Fault Diagnostic Model for Industrial Equipment Based on Multimodal Knowledge Graph. IEEE Sensors Journal. 23(21). 26269–26278. 17 indexed citations
10.
Cheng, Peng, et al.. (2020). Research on Fault Diagnosis of Wind Power Generator Blade Based on SC-SMOTE and kNN. Journal of Information Processing Systems. 16(4). 870–881. 20 indexed citations
11.
Wan, Lanjun, et al.. (2020). Rolling-Element Bearing Fault Diagnosis Using Improved LeNet-5 Network. Sensors. 20(6). 1693–1693. 53 indexed citations
12.
Wan, Lanjun, et al.. (2019). SSF: Sentence Similar Function Based on word2vector Similar Elements. Journal of Information Processing Systems. 15(6). 1503–1516. 3 indexed citations
13.
Liu, Xuejun, et al.. (2019). The real-time acquisition and analysis software system for laser-induced plasma acoustic wave signal. Guangdian gongcheng. 46(8). 180534. 2 indexed citations
14.
Wan, Lanjun, et al.. (2016). A novel cooperative accelerated parallel two-list algorithm for solving the subset-sum problem on a hybrid CPU–GPU cluster. Journal of Parallel and Distributed Computing. 97. 112–123. 8 indexed citations
15.
Wan, Lanjun, Kenli Li, Jing Liu, & Keqin Li. (2015). Efficient CPU‐GPU cooperative computing for solving the subset‐sum problem. Concurrency and Computation Practice and Experience. 28(2). 492–516. 12 indexed citations
16.
Huang, Xin, Longxin Zhang, Renfa Li, Lanjun Wan, & Keqin Li. (2015). Novel heuristic speculative execution strategies in heterogeneous distributed environments. Computers & Electrical Engineering. 50. 166–179. 14 indexed citations
17.
Wan, Lanjun, Kenli Li, Jing Liu, & Keqin Li. (2014). GPU implementation of a parallel two‐list algorithm for the subset‐sum problem. Concurrency and Computation Practice and Experience. 27(1). 119–145. 18 indexed citations
18.
19.
Yang, Wangdong, Kenli Li, Yan Liu, Lin Shi, & Lanjun Wan. (2013). Optimization of quasi-diagonal matrix–vector multiplication on GPU. The International Journal of High Performance Computing Applications. 28(2). 183–195. 25 indexed citations
20.
Yang, Luming, et al.. (2010). Research on Online Monitoring and Analyzing of Interactive Behavior of Distributed Software. Journal of Software. 5(4). 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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