Sian Jin

597 total citations
29 papers, 234 citations indexed

About

Sian Jin is a scholar working on Artificial Intelligence, Computer Networks and Communications and Hardware and Architecture. According to data from OpenAlex, Sian Jin has authored 29 papers receiving a total of 234 indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Artificial Intelligence, 14 papers in Computer Networks and Communications and 14 papers in Hardware and Architecture. Recurrent topics in Sian Jin's work include Parallel Computing and Optimization Techniques (14 papers), Algorithms and Data Compression (14 papers) and Advanced Data Storage Technologies (14 papers). Sian Jin is often cited by papers focused on Parallel Computing and Optimization Techniques (14 papers), Algorithms and Data Compression (14 papers) and Advanced Data Storage Technologies (14 papers). Sian Jin collaborates with scholars based in United States, China and Australia. Sian Jin's co-authors include Dingwen Tao, Franck Cappello, Sheng Di, Jiannan Tian, Kai Zhao, Xin Liang, Zizhong Chen, Suren Byna, Wen Xia and Christopher M. Biwer and has published in prestigious journals such as Future Generation Computer Systems, IEEE Transactions on Parallel and Distributed Systems and Proceedings of the VLDB Endowment.

In The Last Decade

Sian Jin

24 papers receiving 232 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Sian Jin United States 10 106 102 89 63 17 29 234
Ozan Tuğluk Türkiye 5 77 0.7× 98 1.0× 62 0.7× 65 1.0× 15 0.9× 8 194
Catherine Olschanowsky United States 14 57 0.5× 251 2.5× 208 2.3× 35 0.6× 44 2.6× 29 388
Jong Youl Choi United States 9 60 0.6× 214 2.1× 95 1.1× 21 0.3× 58 3.4× 18 287
Peter Thoman Austria 8 39 0.4× 164 1.6× 157 1.8× 27 0.4× 9 0.5× 35 242
Franz‐Josef Pfreundt Germany 8 30 0.3× 51 0.5× 24 0.3× 30 0.5× 8 0.5× 23 162
Dionysios Diamantopoulos Switzerland 9 50 0.5× 95 0.9× 113 1.3× 52 0.8× 3 0.2× 36 229
Protonu Basu United States 8 34 0.3× 141 1.4× 170 1.9× 13 0.2× 5 0.3× 13 199
Martin Kong United States 9 59 0.6× 133 1.3× 196 2.2× 27 0.4× 3 0.2× 23 240
Shi Dong United States 9 64 0.6× 127 1.2× 98 1.1× 73 1.2× 4 0.2× 16 229
Philippe Tillet United States 5 55 0.5× 53 0.5× 84 0.9× 46 0.7× 2 0.1× 5 190

Countries citing papers authored by Sian Jin

Since Specialization
Citations

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

Fields of papers citing papers by Sian Jin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Sian Jin

This figure shows the co-authorship network connecting the top 25 collaborators of Sian Jin. A scholar is included among the top collaborators of Sian Jin 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 Sian Jin. Sian Jin 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
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Tian, Jiannan, Sheng Di, Sian Jin, et al.. (2025). COMPSO: Optimizing Gradient Compression for Distributed Training with Second-Order Optimizers. 212–224. 1 indexed citations
5.
Di, Sheng, Kai Zhao, Xin Liang, et al.. (2024). High-performance Effective Scientific Error-bounded Lossy Compression with Auto-tuned Multi-component Interpolation. Proceedings of the ACM on Management of Data. 2(1). 1–27. 14 indexed citations
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Jin, Sian, et al.. (2024). GWLZ: A Group-wise Learning-based Lossy Compression Framework for Scientific Data. 34–41. 2 indexed citations
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Yang, Tai-Ning, et al.. (2024). SeqBench: A Benchmark Suite for Lossless and Lossy Compression of Sequence Data. 1–7. 1 indexed citations
9.
Cappello, Franck, Mario Acosta, Emmanuel Agullo, et al.. (2024). Multifacets of lossy compression for scientific data in the Joint-Laboratory of Extreme Scale Computing. Future Generation Computer Systems. 163. 107323–107323. 7 indexed citations
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Jin, Sian, et al.. (2023). TAC+: Optimizing Error-Bounded Lossy Compression for 3D AMR Simulations. IEEE Transactions on Parallel and Distributed Systems. 35(3). 421–438. 6 indexed citations
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Jin, Haoyu, Shuyu Zhang, Xiangyu Zou, et al.. (2023). Design of a Quantization-Based DNN Delta Compression Framework for Model Snapshots and Federated Learning. IEEE Transactions on Parallel and Distributed Systems. 34(3). 923–937. 21 indexed citations
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Di, Sheng, Sian Jin, Kai Zhao, et al.. (2023). Scientific Error-bounded Lossy Compression with Super-resolution Neural Networks. 229–236. 4 indexed citations
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Tian, Jiannan, Sian Jin, Houjun Tang, et al.. (2023). AMRIC: A Novel In Situ Lossy Compression Framework for Efficient I/O in Adaptive Mesh Refinement Applications. 1–15. 10 indexed citations
15.
Di, Sheng, Kai Zhao, Sian Jin, et al.. (2022). Optimizing Error-Bounded Lossy Compression for Scientific Data With Diverse Constraints. IEEE Transactions on Parallel and Distributed Systems. 33(12). 4440–4457. 9 indexed citations
16.
Jin, Sian, Dingwen Tao, Houjun Tang, et al.. (2022). Accelerating Parallel Write via Deeply Integrating Predictive Lossy Compression with HDF5. Zenodo (CERN European Organization for Nuclear Research). 1–15. 9 indexed citations
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Di, Sheng, Kai Zhao, Sian Jin, et al.. (2021). Exploring Autoencoder-based Error-bounded Compression for Scientific Data. 294–306. 31 indexed citations
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Tian, Jiannan, Sheng Di, Xin Liang, et al.. (2020). waveSZ. 74–88. 20 indexed citations
20.
Hu, Zhenbo, Xiangyu Zou, Wen Xia, et al.. (2020). Delta-DNN: Efficiently Compressing Deep Neural Networks via Exploiting Floats Similarity. 1–12. 9 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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