Congming Gao

606 total citations
44 papers, 406 citations indexed

About

Congming Gao is a scholar working on Computer Networks and Communications, Hardware and Architecture and Computational Theory and Mathematics. According to data from OpenAlex, Congming Gao has authored 44 papers receiving a total of 406 indexed citations (citations by other indexed papers that have themselves been cited), including 44 papers in Computer Networks and Communications, 20 papers in Hardware and Architecture and 11 papers in Computational Theory and Mathematics. Recurrent topics in Congming Gao's work include Advanced Data Storage Technologies (43 papers), Caching and Content Delivery (30 papers) and Parallel Computing and Optimization Techniques (20 papers). Congming Gao is often cited by papers focused on Advanced Data Storage Technologies (43 papers), Caching and Content Delivery (30 papers) and Parallel Computing and Optimization Techniques (20 papers). Congming Gao collaborates with scholars based in China, Hong Kong and United States. Congming Gao's co-authors include Liang Shi, Chun Jason Xue, Kaijie Wu, Edwin H.‐M. Sha, Qiao Li, Cheng Ji, Youtao Zhang, Jun Yang, Mengying Zhao and Jiwu Shu and has published in prestigious journals such as IEEE Transactions on Computers, Future Generation Computer Systems and IEEE Transactions on Parallel and Distributed Systems.

In The Last Decade

Congming Gao

40 papers receiving 402 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Congming Gao China 12 392 166 69 48 45 44 406
Gala Yadgar Israel 10 306 0.8× 89 0.5× 51 0.7× 90 1.9× 42 0.9× 31 314
Roman Pletka Switzerland 10 428 1.1× 151 0.9× 78 1.1× 80 1.7× 64 1.4× 20 440
Gülay Yalçın Spain 9 306 0.8× 187 1.1× 71 1.0× 34 0.7× 43 1.0× 25 393
Hiroki Honda Japan 11 172 0.4× 159 1.0× 28 0.4× 31 0.6× 28 0.6× 37 239
Benjamin Lipshitz United States 8 175 0.4× 191 1.2× 69 1.0× 31 0.6× 78 1.7× 14 269
Miryeong Kwon South Korea 9 249 0.6× 126 0.8× 18 0.3× 69 1.4× 34 0.8× 23 277
Matias Bjørling United States 11 506 1.3× 219 1.3× 41 0.6× 133 2.8× 45 1.0× 18 529
CheeWhye Chin United States 5 201 0.5× 280 1.7× 71 1.0× 44 0.9× 69 1.5× 7 326
Cyril Guyot United States 7 244 0.6× 104 0.6× 50 0.7× 47 1.0× 66 1.5× 20 297
Simona Boboila United States 7 291 0.7× 122 0.7× 23 0.3× 88 1.8× 44 1.0× 12 325

Countries citing papers authored by Congming Gao

Since Specialization
Citations

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

Fields of papers citing papers by Congming Gao

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Congming Gao

This figure shows the co-authorship network connecting the top 25 collaborators of Congming Gao. A scholar is included among the top collaborators of Congming Gao 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 Congming Gao. Congming Gao 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.
Gao, Congming, et al.. (2025). Overlapping Aware Data Placement Optimizations for LSM Tree-Based Store on ZNS SSDs. ACM Transactions on Architecture and Code Optimization. 22(2). 1–25.
2.
Zhao, Hongbo, et al.. (2025). HGAA: A Heterogeneous Graph Adaptive Augmentation Method for Asymmetric Datasets. Symmetry. 17(10). 1623–1623.
3.
Wang, Fangzheng, et al.. (2025). AtRS: Auto-tuning RAID system with GAN. Future Generation Computer Systems. 174. 107984–107984.
4.
Chen, Renhui, Tianmeng Zhang, Congming Gao, et al.. (2024). Space-efficient and high-performance inline deduplication for emerging hybrid storage system with Libra＋. Journal of Systems Architecture. 150. 103137–103137. 1 indexed citations
5.
Gao, Congming, et al.. (2024). Optimizing Garbage Collection for ZNS SSDs via In-storage Data Migration and Address Remapping. ACM Transactions on Architecture and Code Optimization. 21(4). 1–25. 1 indexed citations
6.
Li, Zijing, et al.. (2024). Design and Implementation of Deduplication on F2FS. ACM Transactions on Storage. 20(4). 1–50. 2 indexed citations
7.
Chen, Jian, Congming Gao, Youyou Lu, Yuhao Zhang, & Jiwu Shu. (2024). Ares-Flash: Efficient Parallel Integer Arithmetic Operations Using NAND Flash Memory. 1489–1503. 3 indexed citations
8.
Gao, Congming, et al.. (2023). WA-Zone: Wear-Aware Zone Management Optimization for LSM-Tree on ZNS SSDs. ACM Transactions on Architecture and Code Optimization. 21(1). 1–23. 9 indexed citations
9.
Ji, Cheng, et al.. (2021). Pattern-Guided file compression with user-Experience enhancement for log-Structured file system on mobile devices. File and Storage Technologies. 127–140. 9 indexed citations
10.
Gao, Congming, Liang Shi, Kai Liu, et al.. (2020). Boosting the Performance of SSDs via Fully Exploiting the Plane Level Parallelism. IEEE Transactions on Parallel and Distributed Systems. 31(9). 2185–2200. 14 indexed citations
11.
Li, Qiao, et al.. (2019). Process Variation Aware Read Performance Improvement for LDPC-Based nand Flash Memory. IEEE Transactions on Reliability. 69(1). 310–321. 11 indexed citations
12.
Ji, Cheng, et al.. (2019). Maximizing I/O Throughput and Minimizing Performance Variation via Reinforcement Learning Based I/O Merging for SSDs. IEEE Transactions on Computers. 69(1). 72–86. 18 indexed citations
13.
Gao, Congming, Liang Shi, Qiao Li, et al.. (2019). Aging Capacitor Supported Cache Management Scheme for Solid-State Drives. IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems. 39(10). 2230–2239. 3 indexed citations
14.
Gao, Congming, Liang Shi, Chun Jason Xue, et al.. (2019). Parallel all the time: Plane Level Parallelism Exploration for High Performance SSDs. 172–184. 16 indexed citations
15.
Li, Qiao, et al.. (2018). Access Characteristic Guided Read and Write Regulation on Flash Based Storage Systems. IEEE Transactions on Computers. 67(12). 1663–1676. 12 indexed citations
16.
Shi, Liang, et al.. (2018). Minimizing Retention Induced Refresh Through Exploiting Process Variation of Flash Memory. IEEE Transactions on Computers. 68(1). 83–98. 21 indexed citations
17.
Gao, Congming, Liang Shi, Cheng Ji, et al.. (2017). Exploiting Parallelism for Access Conflict Minimization in Flash-Based Solid State Drives. IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems. 37(1). 168–181. 37 indexed citations
18.
Sha, Edwin H.‐M., Congming Gao, Liang Shi, et al.. (2016). Asymmetric Error Rates of Cell States Exploration for Performance Improvement on Flash Memory Based Storage Systems. IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems. 36(8). 1340–1352. 3 indexed citations
19.
20.
Li, Qiao, Liang Shi, Congming Gao, et al.. (2015). Maximizing IO performance via conflict reduction for flash memory storage systems. Design, Automation, and Test in Europe. 904–907. 10 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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