Shuibing He

775 total citations
74 papers, 508 citations indexed

About

Shuibing He is a scholar working on Computer Networks and Communications, Hardware and Architecture and Information Systems. According to data from OpenAlex, Shuibing He has authored 74 papers receiving a total of 508 indexed citations (citations by other indexed papers that have themselves been cited), including 48 papers in Computer Networks and Communications, 25 papers in Hardware and Architecture and 21 papers in Information Systems. Recurrent topics in Shuibing He's work include Advanced Data Storage Technologies (38 papers), Parallel Computing and Optimization Techniques (25 papers) and Caching and Content Delivery (22 papers). Shuibing He is often cited by papers focused on Advanced Data Storage Technologies (38 papers), Parallel Computing and Optimization Techniques (25 papers) and Caching and Content Delivery (22 papers). Shuibing He collaborates with scholars based in China, United States and Canada. Shuibing He's co-authors include Xian‐He Sun, Bo Feng, Yang Wang, Xuechen Zhang, Chengzhong Xu, Adnan Haider, Yanlong Yin, Li Ruan, Limin Xiao and Gang Chen and has published in prestigious journals such as IEEE Transactions on Knowledge and Data Engineering, IEEE Transactions on Computers and IEEE Internet of Things Journal.

In The Last Decade

Shuibing He

63 papers receiving 498 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Shuibing He China	13	348	136	127	99	68	74	508
Wojciech Golab Canada	14	485 1.4×	215 1.6×	104 0.8×	67 0.7×	20 0.3×	64	601
Maurício Breternitz United States	10	180 0.5×	63 0.5×	175 1.4×	88 0.9×	58 0.9×	53	330
Subarno Banerjee United States	4	313 0.9×	148 1.1×	306 2.4×	92 0.9×	119 1.8×	10	523
Sameer G. Kulkarni United States	15	499 1.4×	264 1.9×	209 1.6×	99 1.0×	68 1.0×	45	667
Kostas Katrinis Ireland	16	542 1.6×	276 2.0×	136 1.1×	44 0.4×	48 0.7×	64	747
Pitch Patarasuk United States	8	199 0.6×	55 0.4×	115 0.9×	169 1.7×	116 1.7×	11	385
Luo Mai United Kingdom	9	163 0.5×	107 0.8×	30 0.2×	90 0.9×	68 1.0×	19	305
Puneet Kaur India	6	223 0.6×	108 0.8×	203 1.6×	57 0.6×	40 0.6×	15	373
M. Mustafa Rafique United States	13	384 1.1×	297 2.2×	106 0.8×	60 0.6×	60 0.9×	52	476
Gita Alaghband United States	10	94 0.3×	46 0.3×	53 0.4×	100 1.0×	29 0.4×	44	266

Countries citing papers authored by Shuibing He

Since Specialization

Citations

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

Fields of papers citing papers by Shuibing He

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Shuibing He

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

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

Wang, Rui, et al.. (2025). A Comprehensive Survey of Dynamic Graph Neural Networks: Models, Frameworks, Benchmarks, Experiments and Challenges. IEEE Transactions on Knowledge and Data Engineering. 38(1). 26–46. 3 indexed citations

Ruan, Yan, et al.. (2025). Multilevel and Energy-Efficient Partial Computation Offloading in Heterogeneous Edge Intelligence. IEEE Internet of Things Journal. 12(11). 14993–15007.

Xing, Qinghui, Ming Zhang, De Ma, et al.. (2025). Mapping Large-Scale Spiking Neural Network on Arbitrary Meshed Neuromorphic Hardware. IEEE Transactions on Parallel and Distributed Systems. 36(11). 2325–2340.

He, Shuibing, et al.. (2025). Advanced Maximal Biclique Enumeration on GPUs Using Bitmaps. IEEE Transactions on Computers. 74(8). 2552–2566.

Zhang, Yucheng, et al.. (2025). An Efficient Delta Compression Framework Seamlessly Integrated into Inline Deduplication. ACM Transactions on Storage. 21(4). 1–30.

Huang, Wenjie, Rui Wang, Shuibing He, et al.. (2025). Efficient Distributed Graph Neural Network Training With Source Chunking and Moving Aggregation. IEEE Transactions on Knowledge and Data Engineering. 37(12). 7090–7104.

He, Shuibing, Ping Chen, Yanlong Yin, et al.. (2024). AUTOHET: An Automated Heterogeneous ReRAM-Based Accelerator for DNN Inference. 1052–1061. 2 indexed citations

He, Shuibing, Xuechen Zhang, Rui Wang, et al.. (2024). AMBEA: Aggressive Maximal Biclique Enumeration in Large Bipartite Graph Computing. IEEE Transactions on Computers. 73(12). 2664–2677. 1 indexed citations

Sun, Gan, et al.. (2024). FTGraph: A Flexible Tree-Based Graph Store on Persistent Memory for Large-Scale Dynamic Graphs. 39–50.

10.

Hu, Shuang, et al.. (2024). IOWA: An I/O-Aware Adaptive Sampling Framework for Deep Learning. 1–8.

11.

He, Shuibing, et al.. (2023). APQ: Automated DNN Pruning and Quantization for ReRAM-Based Accelerators. IEEE Transactions on Parallel and Distributed Systems. 34(9). 2498–2511. 3 indexed citations

12.

He, Shuibing, et al.. (2023). Efficient Maximal Biclique Enumeration on GPUs. 1–13. 5 indexed citations

13.

He, Shuibing, et al.. (2023). iCache: An Importance-Sampling-Informed Cache for Accelerating I/O-Bound DNN Model Training. 220–232. 6 indexed citations

14.

He, Shuibing, et al.. (2022). HOME: A Holistic GPU Memory Management Framework for Deep Learning. IEEE Transactions on Computers. 1–13. 7 indexed citations

15.

Chen, Ping, Shuibing He, Xuechen Zhang, et al.. (2021). CSWAP: A Self-Tuning Compression Framework for Accelerating Tensor Swapping in GPUs. 271–282. 8 indexed citations

16.

Wang, Yang, et al.. (2019). Towards Cluster-wide Deduplication Based on Ceph. 1–8. 5 indexed citations

17.

He, Shuibing, Xian‐He Sun, Yang Wang, & Chengzhong Xu. (2018). A Migratory Heterogeneity-Aware Data Layout Scheme for Parallel File Systems. 1133–1142. 4 indexed citations

18.

He, Shuibing, Xian‐He Sun, & Adnan Haider. (2015). HAS: Heterogeneity-Aware Selective Data Layout Scheme for Parallel File Systems on Hybrid Servers. 613–622. 26 indexed citations

19.

He, Shuibing, Yan Liu, & Xian‐He Sun. (2014). PSA: A Performance and Space-Aware Data Layout Scheme for Hybrid Parallel File Systems. 41–48. 12 indexed citations

20.

Wang, Zhuowei, et al.. (2010). Optimizing sparse matrix-vector multiplication on CUDA. V4–109. 19 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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