Changchun Pan

467 total citations
37 papers, 310 citations indexed

About

Changchun Pan is a scholar working on Control and Systems Engineering, Artificial Intelligence and Industrial and Manufacturing Engineering. According to data from OpenAlex, Changchun Pan has authored 37 papers receiving a total of 310 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Control and Systems Engineering, 10 papers in Artificial Intelligence and 8 papers in Industrial and Manufacturing Engineering. Recurrent topics in Changchun Pan's work include Advanced Control Systems Optimization (8 papers), Fault Detection and Control Systems (7 papers) and Scheduling and Optimization Algorithms (5 papers). Changchun Pan is often cited by papers focused on Advanced Control Systems Optimization (8 papers), Fault Detection and Control Systems (7 papers) and Scheduling and Optimization Algorithms (5 papers). Changchun Pan collaborates with scholars based in China, United Kingdom and South Korea. Changchun Pan's co-authors include Genke Yang, Yu‐Wang Chen, Jianbo Yang, Jie Bai, Dong‐Ling Xu, Yue Chen, Zhijie Zhou, Xiaobin Xu, Li‐Sheng Hu and Haichun Liu and has published in prestigious journals such as SHILAP Revista de lepidopterología, IEEE Access and Applied Soft Computing.

In The Last Decade

Changchun Pan

31 papers receiving 296 citations

Peers

Changchun Pan
Geert De Maere United Kingdom
C. Y. Cheong Singapore
Cheng Zhu China
Changchun Pan
Citations per year, relative to Changchun Pan Changchun Pan (= 1×) peers Noureddine Bouhmala

Countries citing papers authored by Changchun Pan

Since Specialization
Citations

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

Fields of papers citing papers by Changchun Pan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Changchun Pan

This figure shows the co-authorship network connecting the top 25 collaborators of Changchun Pan. A scholar is included among the top collaborators of Changchun Pan 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 Changchun Pan. Changchun Pan 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
2.
Yu, Xiaodong, et al.. (2022). Development of a Robust Data-Driven Soft Sensor for Multivariate Industrial Processes with Non-Gaussian Noise and Outliers. Mathematics. 10(20). 3837–3837. 4 indexed citations
4.
Chen, Tehuan, et al.. (2022). Particle identification in particle tracking velocimetry using two-stage neural networks. Journal of Industrial and Management Optimization. 19(7). 5331–5352. 4 indexed citations
5.
Chen, Tehuan, et al.. (2022). Unsupervised learning on particle image velocimetry with embedded cross‐correlation and divergence‐free constraint. SHILAP Revista de lepidopterología. 4(3). 200–211. 4 indexed citations
9.
He, Sheng, Genke Yang, & Changchun Pan. (2019). Scheduling of Multi-variety and Small-Batch Motor Manufacturing Based on Simulated Annealing Adaptive Genetic Algorithms. 461–467. 1 indexed citations
10.
Yang, Genke, et al.. (2019). Dynamic Optimization of Data Packet-based Communication for PLC Visual Monitoring. Applied Sciences. 9(8). 1721–1721. 4 indexed citations
12.
Jiang, Junjie, Changchun Pan, Haichun Liu, & Genke Yang. (2016). Predicting human mobility based on location data modeled by Markov chains. 145–151. 16 indexed citations
13.
Chen, Yue, Yu‐Wang Chen, Xiaobin Xu, et al.. (2015). A data-driven approximate causal inference model using the evidential reasoning rule. Knowledge-Based Systems. 88. 264–272. 50 indexed citations
14.
Yang, Genke, et al.. (2013). Multi-period Planning of Refinery Crude Oil Scheduling Problem with Fluctuating Demands. IFAC Proceedings Volumes. 46(13). 313–320.
15.
Pan, Changchun, et al.. (2012). An inferential modeling method using enumerative PLS based nonnegative garrote regression. Journal of Process Control. 22(9). 1637–1646. 12 indexed citations
16.
Bai, Jie, Genke Yang, Yu‐Wang Chen, Li‐Sheng Hu, & Changchun Pan. (2012). A model induced max-min ant colony optimization for asymmetric traveling salesman problem. Applied Soft Computing. 13(3). 1365–1375. 42 indexed citations
17.
Chen, Yu‐Wang, Yong-Zai Lu, Ming Ge, Genke Yang, & Changchun Pan. (2011). Development of hybrid evolutionary algorithms for production scheduling of hot strip mill. Computers & Operations Research. 39(2). 339–349. 25 indexed citations
18.
Pan, Changchun, et al.. (2011). A MIMO R2R control using data-driven gain scheduling. Control Engineering Practice. 19(11). 1344–1353. 4 indexed citations
19.
Bai, Jie, et al.. (2011). A Review of the Application of Swarm Intelligence Algorithms to 2D Cutting and Packing Problem. Lecture notes in computer science. 64–70. 7 indexed citations
20.
Pan, Changchun & Genke Yang. (2008). A method of solving a large-scale rolling batch scheduling problem in steel production using a variant of column generation. Computers & Industrial Engineering. 56(1). 165–178. 20 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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