Changan Zhu

3.6k total citations · 1 hit paper
122 papers, 2.8k citations indexed

About

Changan Zhu is a scholar working on Computer Vision and Pattern Recognition, Control and Systems Engineering and Mechanical Engineering. According to data from OpenAlex, Changan Zhu has authored 122 papers receiving a total of 2.8k indexed citations (citations by other indexed papers that have themselves been cited), including 46 papers in Computer Vision and Pattern Recognition, 29 papers in Control and Systems Engineering and 28 papers in Mechanical Engineering. Recurrent topics in Changan Zhu's work include Optical measurement and interference techniques (20 papers), Advanced Vision and Imaging (16 papers) and Image Processing Techniques and Applications (16 papers). Changan Zhu is often cited by papers focused on Optical measurement and interference techniques (20 papers), Advanced Vision and Imaging (16 papers) and Image Processing Techniques and Applications (16 papers). Changan Zhu collaborates with scholars based in China, Hong Kong and United Kingdom. Changan Zhu's co-authors include Meng Gan, Yi Jin, Cong Wang, Jie Guo, M. Waqar Akram, Guiqiang Li, Ashfaq Ahmad, Dong Sun, Wenhui Hou and Huaian Chen and has published in prestigious journals such as JNCI Journal of the National Cancer Institute, Optics Letters and Optics Express.

In The Last Decade

Changan Zhu

116 papers receiving 2.7k citations

Hit Papers

Construction of hierarchical diagnosis network based on d... 2015 2026 2018 2022 2015 100 200 300 400

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Changan Zhu China 28 847 805 783 470 452 122 2.8k
Zhixiong Li China 39 458 0.5× 1.6k 2.0× 201 0.3× 268 0.6× 311 0.7× 152 4.5k
Yu He China 27 338 0.4× 575 0.7× 1.1k 1.4× 1.4k 2.9× 426 0.9× 105 3.3k
Yueyang Li China 29 1.2k 1.4× 359 0.4× 408 0.5× 84 0.2× 159 0.4× 158 2.7k
Teng Li China 24 870 1.0× 583 0.7× 475 0.6× 136 0.3× 39 0.1× 119 2.4k
Rajesh Kumar India 32 1.3k 1.5× 1.3k 1.6× 229 0.3× 141 0.3× 57 0.1× 103 2.7k
P. Stephan Heyns South Africa 36 1.5k 1.7× 2.0k 2.5× 167 0.2× 285 0.6× 214 0.5× 158 3.9k
Yan‐Lin He China 30 1.5k 1.7× 791 1.0× 396 0.5× 185 0.4× 59 0.1× 236 3.1k
Farhat Fnaiech Tunisia 28 2.6k 3.0× 1.2k 1.4× 416 0.5× 239 0.5× 54 0.1× 206 4.6k
Yanlong Cao China 24 148 0.2× 518 0.6× 829 1.1× 617 1.3× 69 0.2× 117 2.2k
Jian Ma China 23 1.6k 1.9× 924 1.1× 106 0.1× 175 0.4× 83 0.2× 113 2.9k

Countries citing papers authored by Changan Zhu

Since Specialization
Citations

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

Fields of papers citing papers by Changan Zhu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Changan Zhu

This figure shows the co-authorship network connecting the top 25 collaborators of Changan Zhu. A scholar is included among the top collaborators of Changan Zhu 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 Changan Zhu. Changan Zhu 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.
Zhu, Changan, et al.. (2023). High-Speed Deformation Measurement with Event-Based Cameras. Experimental Mechanics. 63(6). 987–994. 3 indexed citations
2.
Xu, Kai, et al.. (2021). A novel multi-adversarial cross-domain neural network for bearing fault diagnosis. Measurement Science and Technology. 32(5). 55102–55102. 29 indexed citations
3.
Zhu, Changan, et al.. (2021). Overview of ISAR maneuvering target imaging technology. 2021 CIE International Conference on Radar (Radar). 46. 176–179.
4.
Zhu, Changan, et al.. (2021). Short-Term Time Wind Speed Forecasting Based on Spatio-Temporal Geostatistical Approach and Kriging Method. International Journal of Pattern Recognition and Artificial Intelligence. 35(7). 2159025–2159025. 1 indexed citations
5.
Tan, Xiao, Huaian Chen, Kai Xu, Yi Jin, & Changan Zhu. (2021). Deep SR-HDR: Joint Learning of Super-Resolution and High Dynamic Range Imaging for Dynamic Scenes. IEEE Transactions on Multimedia. 25. 750–763. 11 indexed citations
6.
Akram, M. Waqar, Guiqiang Li, Yi Jin, et al.. (2020). Automatic detection of photovoltaic module defects in infrared images with isolated and develop-model transfer deep learning. Solar Energy. 198. 175–186. 184 indexed citations
7.
Akram, M. Waqar, et al.. (2020). An Adaptive Anti-Noise Neural Network for Bearing Fault Diagnosis Under Noise and Varying Load Conditions. IEEE Access. 8. 74793–74807. 65 indexed citations
9.
Ahmad, Ashfaq, et al.. (2020). Photovoltaic cell defect classification using convolutional neural network and support vector machine. IET Renewable Power Generation. 14(14). 2693–2702. 35 indexed citations
10.
Akram, M. Waqar, Guiqiang Li, Yi Jin, et al.. (2019). Improved outdoor thermography and processing of infrared images for defect detection in PV modules. Solar Energy. 190. 549–560. 68 indexed citations
11.
Akram, M. Waqar, Guiqiang Li, Yi Jin, et al.. (2019). CNN based automatic detection of photovoltaic cell defects in electroluminescence images. Energy. 189. 116319–116319. 224 indexed citations
12.
Ye, Wei, Feng Wei, Yi Jin, & Changan Zhu. (2017). Analyses of Morphological Properties of a Generalized Miura Origami Structure. Journal of Mechanical Design. 139(9). 2 indexed citations
13.
Guo, Jie, et al.. (2012). Black-box modeling of an ultra-precision positioning system using time series analysis. 240–243.
14.
Guo, Jie, et al.. (2012). The application of energy operator demodulation approach based on EMD in mechanical system identification. 80–85. 1 indexed citations
15.
Zhu, Changan, et al.. (2010). An integrated design and optimization platform for vibration isolation system of vehicles. 445–448. 1 indexed citations
16.
Zhu, Changan. (2007). Intelligent fault diagnosis model based on rough set and grey system theory. Ha'erbin gongye daxue xuebao. 2 indexed citations
17.
Zhu, Changan. (2006). Fuzzy Evaluation Model of Machine Tool Selection during the Reconfiguration of the Manufacturing System. Journal of Hunan University of Science & Technology. 1 indexed citations
18.
Zhu, Changan. (2006). Control System Design of NC Carving Machine Based on USB. Modular Machine Tool & Automatic Manufacturing Technique. 1 indexed citations
19.
Chen, Hong & Changan Zhu. (2005). Modeling the dynamics of biomimetic underwater robot fish. 478–483. 13 indexed citations
20.
Zhu, Changan. (2001). Relations between Different Courses and Teaching by Association——A Discussion of Teaching Methods for Fundamental Specialized Courses.

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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