Shizhen Chang

412 total citations
11 papers, 310 citations indexed

About

Shizhen Chang is a scholar working on Media Technology, Artificial Intelligence and Atmospheric Science. According to data from OpenAlex, Shizhen Chang has authored 11 papers receiving a total of 310 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Media Technology, 5 papers in Artificial Intelligence and 4 papers in Atmospheric Science. Recurrent topics in Shizhen Chang's work include Remote-Sensing Image Classification (7 papers), Remote Sensing and Land Use (4 papers) and Advanced Chemical Sensor Technologies (4 papers). Shizhen Chang is often cited by papers focused on Remote-Sensing Image Classification (7 papers), Remote Sensing and Land Use (4 papers) and Advanced Chemical Sensor Technologies (4 papers). Shizhen Chang collaborates with scholars based in China, Austria and Germany. Shizhen Chang's co-authors include Bo Du, Liangpei Zhang, Pedram Ghamisi, Peter M. Atkinson, Tao Bai, Weikang Yu, Yonghao Xu, Rui Zhao and Michael Kopp and has published in prestigious journals such as IEEE Transactions on Geoscience and Remote Sensing, IEEE Transactions on Image Processing and IEEE Geoscience and Remote Sensing Letters.

In The Last Decade

Shizhen Chang

11 papers receiving 304 citations

Peers

Shizhen Chang
Xianchang Yang China
Ning Huyan China
Jignesh S. Bhatt India
Xi Cheng China
Pei Xiang China
Chein‐I Chang United States
Lei Tong China
Wenbo Yu China
Shengwei Zhong China
Xianchang Yang China
Shizhen Chang
Citations per year, relative to Shizhen Chang Shizhen Chang (= 1×) peers Xianchang Yang

Countries citing papers authored by Shizhen Chang

Since Specialization
Citations

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

Fields of papers citing papers by Shizhen Chang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Shizhen Chang

This figure shows the co-authorship network connecting the top 25 collaborators of Shizhen Chang. A scholar is included among the top collaborators of Shizhen Chang 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 Shizhen Chang. Shizhen Chang is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

11 of 11 papers shown
1.
Chang, Shizhen, Michael Kopp, Pedram Ghamisi, & Bo Du. (2024). Dsfer-Net: A Deep Supervision and Feature Retrieval Network for Bitemporal Change Detection Using Modern Hopfield Networks. IEEE Transactions on Geoscience and Remote Sensing. 62. 1–14. 3 indexed citations
2.
Chang, Shizhen & Pedram Ghamisi. (2023). Changes to Captions: An Attentive Network for Remote Sensing Change Captioning. IEEE Transactions on Image Processing. 32. 6047–6060. 45 indexed citations
3.
Xu, Yonghao, Tao Bai, Weikang Yu, et al.. (2023). AI Security for Geoscience and Remote Sensing: Challenges and future trends. IEEE Geoscience and Remote Sensing Magazine. 11(2). 60–85. 47 indexed citations
4.
Chang, Shizhen, Michael Kopp, & Pedram Ghamisi. (2022). Sketched Multiview Subspace Learning for Hyperspectral Anomalous Change Detection. IEEE Transactions on Geoscience and Remote Sensing. 60. 1–12. 7 indexed citations
5.
Chang, Shizhen & Pedram Ghamisi. (2022). Nonnegative-Constrained Joint Collaborative Representation With Union Dictionary for Hyperspectral Anomaly Detection. IEEE Transactions on Geoscience and Remote Sensing. 60. 1–13. 30 indexed citations
6.
Chang, Shizhen, Bo Du, & Liangpei Zhang. (2020). A Subspace Selection-Based Discriminative Forest Method for Hyperspectral Anomaly Detection. IEEE Transactions on Geoscience and Remote Sensing. 58(6). 4033–4046. 35 indexed citations
7.
Chang, Shizhen, Bo Du, & Liangpei Zhang. (2020). Positive Unlabeled Learning with Class-prior Approximation. 2014–2021. 8 indexed citations
8.
Chang, Shizhen, Bo Du, & Liangpei Zhang. (2019). A Sparse Autoencoder Based Hyperspectral Anomaly Detection Algorihtm Using Residual of Reconstruction Error. 5488–5491. 35 indexed citations
9.
Du, Bo, et al.. (2019). A Low-Rank and Sparse Matrix Decomposition- Based Dictionary Reconstruction and Anomaly Extraction Framework for Hyperspectral Anomaly Detection. IEEE Geoscience and Remote Sensing Letters. 17(7). 1248–1252. 33 indexed citations
10.
Chang, Shizhen, Bo Du, & Liangpei Zhang. (2018). BASO: A Background-Anomaly Component Projection and Separation Optimized Filter for Anomaly Detection in Hyperspectral Images. IEEE Transactions on Geoscience and Remote Sensing. 56(7). 3747–3761. 50 indexed citations
11.
Chang, Shizhen, Bo Du, Liangpei Zhang, & Rui Zhao. (2017). IBRS: An Iterative Background Reconstruction and Suppression Framework for Hyperspectral Target Detection. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing. 10(7). 3406–3417. 17 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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2026