diff --git a/CITATION.cff b/CITATION.cff
new file mode 100644
index 0000000..921eede
--- /dev/null
+++ b/CITATION.cff
@@ -0,0 +1,12 @@
+cff-version: 1.2.0
+message: "If you use this software, please cite it as below."
+authors:
+- family-names: "Fan"
+ given-names: "Chengyan"
+- family-names: "Liu"
+ given-names: "Lin"
+title: "FanInSAR: A Fancy InSAR time series library, in a Pythonic, fast, and flexible way"
+version: 0.0.1
+doi: 10.5281/zenodo.11398347
+date-released: 2024-5-31
+url: "https://doi.org/10.5281/zenodo.11398347"
\ No newline at end of file
diff --git a/README.md b/README.md
index 3b24aad..38eb5cc 100644
--- a/README.md
+++ b/README.md
@@ -25,6 +25,10 @@ pip install git+https://github.com/Fanchengyan/FanInSAR.git
The detailed documentation is available at:
+> :warning: **Note**
+>
+>FanInSAR is under active development and is currently in the alpha stage. Its API may change in the future until it reaches a stable version.
+
## Citation
> Fan, C., & Liu, L. (2024). FanInSAR: A Fancy InSAR time series library, in a Pythonic, fast, and flexible way (0.0.1). Zenodo. https://doi.org/10.5281/zenodo.11398347
diff --git a/docs/source/index.rst b/docs/source/index.rst
index 9c254ce..294b906 100644
--- a/docs/source/index.rst
+++ b/docs/source/index.rst
@@ -19,6 +19,33 @@ Highlight Features
- **Fast**: The core computation in FanInSAR is implemented using ``PyTorch``, a high-performance deep learning library. This allows for efficient processing on both CPU and GPU, enabling faster execution.
- **Flexible**: FanInSAR is designed to be flexible, allowing for customization and extension. Users can easily inherit classes or customize the processing pipeline for their specific needs.
+.. note::
+
+ 1. FanInSAR is under active development and is currently in the alpha stage. Its API may change in the future until it reaches a stable version.
+ 2. If you have any questions, suggestions, or issues, please feel free to open an issue or discussion on our GitHub repository at `GitHub Issues `_ or `GitHub Discussions `_.
+
+Citation
+--------
+
+.. code-block::
+
+ Fan, C., & Liu, L. (2024). FanInSAR: A Fancy InSAR time series library, in a Pythonic, fast, and flexible way (0.0.1). Zenodo. https://doi.org/10.5281/zenodo.11398347
+
+.. code-block:: bibtex
+
+ @software{fan2024FanInSAR,
+ author = {Fan, Chengyan and
+ Liu, Lin},
+ title = {{FanInSAR: A Fancy InSAR time series library, in a Pythonic, fast, and flexible way}},
+ month = may,
+ year = 2024,
+ publisher = {Zenodo},
+ version = {0.0.1},
+ doi = {10.5281/zenodo.11398347},
+ url = {https://doi.org/10.5281/zenodo.11398347}
+ }
+
+
.. toctree::
:maxdepth: 3
:caption: Contents: