Xuehai Qian

4.6k total citations · 1 hit paper
97 papers, 2.9k citations indexed

About

Xuehai Qian is a scholar working on Computer Networks and Communications, Hardware and Architecture and Computer Vision and Pattern Recognition. According to data from OpenAlex, Xuehai Qian has authored 97 papers receiving a total of 2.9k indexed citations (citations by other indexed papers that have themselves been cited), including 47 papers in Computer Networks and Communications, 44 papers in Hardware and Architecture and 38 papers in Computer Vision and Pattern Recognition. Recurrent topics in Xuehai Qian's work include Parallel Computing and Optimization Techniques (42 papers), Distributed systems and fault tolerance (24 papers) and Advanced Data Storage Technologies (23 papers). Xuehai Qian is often cited by papers focused on Parallel Computing and Optimization Techniques (42 papers), Distributed systems and fault tolerance (24 papers) and Advanced Data Storage Technologies (23 papers). Xuehai Qian collaborates with scholars based in United States, China and Spain. Xuehai Qian's co-authors include Yiran Chen, Hai Li, Linghao Song, Youwei Zhuo, Yanzhi Wang, Mingxing Zhang, Yongwei Wu, Kang Chen, Bo Yuan and Ao Ren and has published in prestigious journals such as SHILAP Revista de lepidopterología, IEEE Transactions on Pattern Analysis and Machine Intelligence and IEEE Transactions on Neural Networks and Learning Systems.

In The Last Decade

Xuehai Qian

94 papers receiving 2.9k citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

PipeLayer: A Pipelined ReRAM-Based Accelerator for Deep Learning

2017 622 citations Linghao Song, Xuehai Qian et al. profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Xuehai Qian United States	27	1.4k	1.1k	1.1k	999	897	97	2.9k
Shouyi Yin China	33	2.3k 1.7×	1.2k 1.0×	1.4k 1.3×	1.2k 1.2×	1.4k 1.5×	351	4.6k
Brucek Khailany United States	31	2.1k 1.5×	922 0.8×	1.3k 1.2×	1.6k 1.6×	2.4k 2.7×	81	4.6k
Shaojun Wei China	32	2.2k 1.6×	1.2k 1.0×	1.4k 1.3×	1.1k 1.1×	1.3k 1.5×	381	4.4k
Zidong Du China	19	2.1k 1.5×	1.3k 1.1×	2.1k 2.0×	476 0.5×	904 1.0×	68	3.6k
Hadi Esmaeilzadeh United States	30	3.0k 2.2×	1.1k 1.0×	1.1k 1.0×	1.7k 1.7×	2.8k 3.1×	94	5.2k
Reetuparna Das United States	33	2.1k 1.5×	670 0.6×	482 0.5×	2.2k 2.2×	2.1k 2.3×	99	3.8k
Yunji Chen China	26	3.4k 2.5×	1.8k 1.6×	3.0k 2.8×	1.1k 1.1×	1.8k 2.0×	120	5.8k
Jishen Zhao United States	24	2.2k 1.6×	791 0.7×	661 0.6×	1.3k 1.3×	1.4k 1.6×	90	3.5k
Xiaobing Feng China	16	727 0.5×	510 0.5×	778 0.7×	478 0.5×	562 0.6×	100	1.7k
Ningyi Xu China	17	850 0.6×	590 0.5×	1.1k 1.0×	609 0.6×	573 0.6×	55	2.2k

Countries citing papers authored by Xuehai Qian

Since Specialization

Citations

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

Fields of papers citing papers by Xuehai Qian

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Xuehai Qian

This figure shows the co-authorship network connecting the top 25 collaborators of Xuehai Qian. A scholar is included among the top collaborators of Xuehai Qian 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 Xuehai Qian. Xuehai Qian 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

1.

Luo, Yongkang, et al.. (2024). Investigation on ablative process of CFRP laminates under laser irradiations. Optics & Laser Technology. 174. 110687–110687. 14 indexed citations

2.

Yang, Yongkui, et al.. (2024). Falic: An FPGA-Based Multi-Scalar Multiplication Accelerator for Zero-Knowledge Proof. IEEE Transactions on Computers. 73(12). 2791–2804. 2 indexed citations

3.

Qian, Xuehai, et al.. (2023). Khuzdul: Efficient and Scalable Distributed Graph Pattern Mining Engine. 413–426. 7 indexed citations

4.

Qian, Xuehai, et al.. (2023). A Thermo-mechanical Investigation on Laser Ablation of Aluminum Alloy. Acta Mechanica Solida Sinica. 36(5). 658–671. 4 indexed citations

5.

Zhai, Jidong, Jinghan Sun, Feng Zhang, et al.. (2022). Leveraging Code Snippets to Detect Variations in the Performance of HPC Systems. IEEE Transactions on Parallel and Distributed Systems. 33(12). 3558–3574. 1 indexed citations

6.

Ma, Xiaolong, Sheng Lin, Shaokai Ye, et al.. (2021). Non-Structured DNN Weight Pruning—Is It Beneficial in Any Platform?. IEEE Transactions on Neural Networks and Learning Systems. 33(9). 4930–4944. 55 indexed citations

7.

Qian, Xuehai, et al.. (2021). RDMA-Enabled Concurrency Control Protocols for Transactions in the Cloud Era. IEEE Transactions on Cloud Computing. 11(1). 798–810. 8 indexed citations

8.

Qian, Xuehai, et al.. (2020). A Comprehensive Evaluation of RDMA-enabled Concurrency Control Protocols.. arXiv (Cornell University). 2 indexed citations

9.

Song, Linghao, Fan Chen, Youwei Zhuo, et al.. (2020). AccPar: Tensor Partitioning for Heterogeneous Deep Learning Accelerators. 342–355. 40 indexed citations

10.

Wang, Yanzhi, Shaokai Ye, Zhezhi He, et al.. (2019). Non-structured DNN Weight Pruning Considered Harmful. 5 indexed citations

11.

Zhai, Jidong, et al.. (2018). vS ensor. 124–136. 4 indexed citations

12.

Liu, Xiaoxiao, Wei Wen, Xuehai Qian, Hai Li, & Yiran Chen. (2018). Neu-NoC: a high-efficient interconnection network for accelerated neuromorphic systems. Asia and South Pacific Design Automation Conference. 141–146. 15 indexed citations

13.

Chen, Xiaohong, et al.. (2018). PIMSim: A Flexible and Detailed Processing-in-Memory Simulator. IEEE Computer Architecture Letters. 18(1). 6–9. 37 indexed citations

14.

Li, Zhe, Ji Li, Ao Ren, et al.. (2018). HEIF: Highly Efficient Stochastic Computing-Based Inference Framework for Deep Neural Networks. IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems. 38(8). 1543–1556. 67 indexed citations

15.

Qian, Xuehai, et al.. (2018). G-TSC: Timestamp Based Coherence for GPUs. 403–415. 8 indexed citations

16.

Zhai, Jidong, et al.. (2018). vS ensor. ACM SIGPLAN Notices. 53(1). 124–136. 3 indexed citations

17.

Zhang, Mingxing, et al.. (2017). Squeezing out all the value of loaded data: an out-of-core graph processing system with reduced disk I/O. USENIX Annual Technical Conference. 125–137. 28 indexed citations

18.

Ren, Ao, Zhe Li, Caiwen Ding, et al.. (2017). SC-DCNN. ACM SIGOPS Operating Systems Review. 51(2). 405–418. 33 indexed citations

19.

Wang, Hui, Rui Wang, Zhongzhi Luan, Xuehai Qian, & Depei Qian. (2014). Improving multiprocessor performance with fine-grain coherence bypass. Science China Information Sciences. 58(1). 1–15. 2 indexed citations

20.

Qian, Xuehai, et al.. (2014). OmniOrder: Directory-based conflict serialization of transactions. 421–432. 4 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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