docs: add the citation (#555)

Signed-off-by: Jinzhe Zeng <[email protected]>


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## Summary by CodeRabbit

* **Documentation**
  * Added a Credits section to README with citation details.
  * Enhanced project documentation with bibliographic citations.

<!-- end of auto-generated comment: release notes by coderabbit.ai -->

---------

Signed-off-by: Jinzhe Zeng <[email protected]>
Co-authored-by: pre-commit-ci[bot] <66853113+pre-commit-ci[bot]@users.noreply.github.com>

Author: njzjz

README.md

@@ -11,6 +11,14 @@ DPDispatcher will monitor (poke) until these jobs finish and download the result
 
 For more information, check the [documentation](https://dpdispatcher.readthedocs.io/).
 
+## Credits
+
+Please cite the following paper if you use this project in your work:
+
+- Fengbo Yuan, Zhaohan Ding, Yun-Pei Liu, Kai Cao, Jiahao Fan, Cao Thang Nguyen, Yuzhi Zhang, Haidi Wang, Yixiao Chen, Jiameng Huang, Tongqi Wen, Mingkang Liu, Yifan Li, Yong-Bin Zhuang, Hao Yu, Ping Tuo, Yaotang Zhang, Yibo Wang, Linfeng Zhang, Han Wang, Jinzhe Zeng, DPDispatcher: Scalable HPC Task Scheduling for AI-Driven Science, _J. Chem. Inf. Model._, 2025, DOI: [10.1021/acs.jcim.5c02081](https://doi.org/10.1021/acs.jcim.5c02081). [![Citations](https://citations.njzjz.win/10.1021/acs.jcim.5c02081)](https://badge.dimensions.ai/details/doi/10.1021/acs.jcim.5c02081)
+
+This project was separated out from the [DP-GEN](https://github.com/deepmodeling/dpgen) project (Section 3.3 in [its paper](https://doi.org/10.1016/j.cpc.2020.107206)) to be used by more workflow software.
+
 ## Installation
 
 DPDispatcher can be installed by `pip`:
@@ -33,7 +41,3 @@ See [Getting Started](https://dpdispatcher.readthedocs.io/en/latest/getting-star
 
 DPDispatcher is maintained by Deep Modeling's developers and welcomes other people.
 See [Contributing Guide](CONTRIBUTING.md) to become a contributor! 🤓
-
-## References
-
-DPDispatcher is derived from the [DP-GEN](https://github.com/deepmodeling/dpgen) package. To mention DPDispatcher in a scholarly publication, please read Section 3.3 in the [DP-GEN paper](https://doi.org/10.1016/j.cpc.2020.107206).

doc/index.rst

@@ -10,6 +10,15 @@ DPDispatcher is a Python package used to generate HPC (High Performance Computin
 
 DPDispatcher will monitor (poke) until these jobs finish and download the results files (if these jobs is running on remote systems connected by SSH).
 
+Please cite the following paper if you use this project in your work:
+
+-  Fengbo Yuan, Zhaohan Ding, Yun-Pei Liu, Kai Cao, Jiahao Fan, Cao
+   Thang Nguyen, Yuzhi Zhang, Haidi Wang, Yixiao Chen, Jiameng Huang,
+   Tongqi Wen, Mingkang Liu, Yifan Li, Yong-Bin Zhuang, Hao Yu, Ping
+   Tuo, Yaotang Zhang, Yibo Wang, Linfeng Zhang, Han Wang, Jinzhe Zeng,
+   DPDispatcher: Scalable HPC Task Scheduling for AI-Driven Science, *J.
+   Chem. Inf. Model.*, 2025.
+
 .. toctree::
    :maxdepth: 2
    :caption: Contents: