Xiaoliang Jia

687 total citations
32 papers, 463 citations indexed

About

Xiaoliang Jia is a scholar working on Industrial and Manufacturing Engineering, Control and Systems Engineering and Mechanical Engineering. According to data from OpenAlex, Xiaoliang Jia has authored 32 papers receiving a total of 463 indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Industrial and Manufacturing Engineering, 7 papers in Control and Systems Engineering and 6 papers in Mechanical Engineering. Recurrent topics in Xiaoliang Jia's work include Manufacturing Process and Optimization (10 papers), Digital Transformation in Industry (6 papers) and Scheduling and Optimization Algorithms (6 papers). Xiaoliang Jia is often cited by papers focused on Manufacturing Process and Optimization (10 papers), Digital Transformation in Industry (6 papers) and Scheduling and Optimization Algorithms (6 papers). Xiaoliang Jia collaborates with scholars based in China and United States. Xiaoliang Jia's co-authors include Hao Hu, Kuo Liu, Qian Wang, Bingyang Sun, Junhao Chen, Junhao Chen, Xitian Tian, Xiao Chang, Mingxing Bai and Xiangwei Liu and has published in prestigious journals such as SHILAP Revista de lepidopterología, Green Chemistry and Tectonophysics.

In The Last Decade

Xiaoliang Jia

27 papers receiving 449 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Xiaoliang Jia China 12 267 114 71 56 42 32 463
Jiyun Qin China 14 188 0.7× 156 1.4× 39 0.5× 75 1.3× 20 0.5× 50 422
Shahin Siahpour United States 9 146 0.5× 115 1.0× 54 0.8× 121 2.2× 23 0.5× 17 424
Wo Jae Lee United States 9 166 0.6× 124 1.1× 46 0.6× 144 2.6× 19 0.5× 14 413
Xiaonan Lai China 12 159 0.6× 139 1.2× 67 0.9× 67 1.2× 35 0.8× 29 464
Zoi Arkouli Greece 11 268 1.0× 74 0.6× 21 0.3× 135 2.4× 51 1.2× 20 434
Mohd Fadzil Faisae Ab Rashid Malaysia 13 479 1.8× 74 0.6× 29 0.4× 36 0.6× 37 0.9× 58 643
Jae Gyeong Choi South Korea 11 77 0.3× 128 1.1× 55 0.8× 61 1.1× 20 0.5× 15 288
Giovanna Martínez-Arellano United Kingdom 8 213 0.8× 313 2.7× 172 2.4× 58 1.0× 49 1.2× 25 485
Lenka Čepová Czechia 11 79 0.3× 166 1.5× 55 0.8× 22 0.4× 50 1.2× 62 403
Matthew J. Triebe United States 9 162 0.6× 152 1.3× 56 0.8× 111 2.0× 14 0.3× 21 383

Countries citing papers authored by Xiaoliang Jia

Since Specialization
Citations

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

Fields of papers citing papers by Xiaoliang Jia

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Xiaoliang Jia

This figure shows the co-authorship network connecting the top 25 collaborators of Xiaoliang Jia. A scholar is included among the top collaborators of Xiaoliang Jia 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 Xiaoliang Jia. Xiaoliang Jia 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.
Miao, Zhiwei, et al.. (2025). GRU‐based stacked sparse autoencoder with attention mechanism for process monitoring. The Canadian Journal of Chemical Engineering. 103(8). 3767–3785. 1 indexed citations
2.
Jia, Xiaoliang, et al.. (2025). Energy-efficient and self-adaptive AGV scheduling approach based on hierarchical reinforcement learning for flexible shop floor. Computers & Industrial Engineering. 205. 111140–111140.
3.
Xiao, Wenjiao, Zhou Tan, Hao Cheng, et al.. (2024). Probing intra‐oceanic subduction infancy in ancient orogenic belts: Example from Chinese South Tianshan. Journal of Metamorphic Geology. 42(8). 1099–1130.
4.
Chang, Xiao, et al.. (2024). A reinforcement learning enhanced memetic algorithm for multi-objective flexible job shop scheduling toward Industry 5.0. International Journal of Production Research. 63(1). 119–147. 18 indexed citations
5.
Yang, Chaohui, Xinyu Li, Hongyan Li, et al.. (2024). Efficient decomposition of a melamine–formaldehyde foam into melamine via selective disconnection of bonds. Green Chemistry. 26(24). 11860–11865. 3 indexed citations
6.
Jia, Xiaoliang, et al.. (2023). A DeepAR based hybrid probabilistic prediction model for production bottleneck of flexible shop-floor in Industry 4.0. Computers & Industrial Engineering. 185. 109644–109644. 3 indexed citations
7.
Wang, Jinlin, Wenjiao Xiao, Changli Yao, et al.. (2023). Crustal structure of the Tian Shan Orogen and its adjacent areas inferred from EIGEN-6C4 gravity field data. Tectonophysics. 869. 230131–230131.
8.
Li, Jianping, et al.. (2023). Dispersal Characteristics Dependence on Mass Ratio for Explosively Driven Dry Powder Particle. Materials. 16(13). 4537–4537. 2 indexed citations
9.
10.
Jia, Xiaoliang, et al.. (2022). Digital twin and deep reinforcement learning enabled real-time scheduling for complex product flexible shop-floor. Proceedings of the Institution of Mechanical Engineers Part B Journal of Engineering Manufacture. 237(8). 1254–1268. 11 indexed citations
11.
Chen, Junhao, et al.. (2021). A novel bi-level multi-objective genetic algorithm for integrated assembly line balancing and part feeding problem. International Journal of Production Research. 61(2). 580–603. 17 indexed citations
12.
Hu, Hao, Xiaoliang Jia, Kuo Liu, & Bingyang Sun. (2021). Self-Adaptive Traffic Control Model With Behavior Trees and Reinforcement Learning for AGV in Industry 4.0. IEEE Transactions on Industrial Informatics. 17(12). 7968–7979. 38 indexed citations
13.
Wang, Qian & Xiaoliang Jia. (2019). Multi-objective optimization of CFRP drilling parameters with a hybrid method integrating the ANN, NSGA-II and fuzzy C-means. Composite Structures. 235. 111803–111803. 43 indexed citations
14.
Bai, Hua, Xiongqi Pang, Lichun Kuang, et al.. (2017). Depositional environment, hydrocarbon generation and expulsion potential of the middle Permian Pingdiquan source rocks based on geochemical analyses in the eastern Junggar Basin, NW China. Australian Journal of Earth Sciences. 64(4). 497–518. 6 indexed citations
15.
Jia, Xiaoliang, et al.. (2016). A New Least Squares Support Vector Machines Ensemble Model for Aero Engine Performance Parameter Chaotic Prediction. Mathematical Problems in Engineering. 2016. 1–8. 19 indexed citations
16.
Jia, Xiaoliang, et al.. (2015). Inter-plant Water Integration with Considerations of Water Supply Constraint and Differential Water Price. SHILAP Revista de lepidopterología. 7 indexed citations
17.
Jia, Xiaoliang, et al.. (2013). Geochemistry and geochronology of monzogranites in Kuruktag of Xinjiang and their tectonic implications. Dizhi tongbao. 32(2). 239–250. 11 indexed citations
18.
Jia, Xiaoliang. (2008). Exploring aircraft product cost estimation based on activity. Machinery Design and Manufacture. 3 indexed citations
19.
Jia, Xiaoliang. (2007). Modeling and Application of Collaborative Process Planning System for Distributed Manufacturing Environment.
20.
Jia, Xiaoliang. (2004). Study on the development trend for modern CAPP technology. Manufacturing Automation.

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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