Hailong Yang

2.7k total citations · 1 hit paper
161 papers, 1.8k citations indexed

About

Hailong Yang is a scholar working on Computer Networks and Communications, Hardware and Architecture and Information Systems. According to data from OpenAlex, Hailong Yang has authored 161 papers receiving a total of 1.8k indexed citations (citations by other indexed papers that have themselves been cited), including 79 papers in Computer Networks and Communications, 57 papers in Hardware and Architecture and 45 papers in Information Systems. Recurrent topics in Hailong Yang's work include Parallel Computing and Optimization Techniques (57 papers), Cloud Computing and Resource Management (40 papers) and Advanced Data Storage Technologies (30 papers). Hailong Yang is often cited by papers focused on Parallel Computing and Optimization Techniques (57 papers), Cloud Computing and Resource Management (40 papers) and Advanced Data Storage Technologies (30 papers). Hailong Yang collaborates with scholars based in China, United States and Canada. Hailong Yang's co-authors include Jason Mars, Lingjia Tang, Zhongzhi Luan, Alex D. Breslow, Depei Qian, Quan Chen, Carol Fung, Shaohan Huang, Yi Liu and Yining Zhao and has published in prestigious journals such as PLoS ONE, Journal of The Electrochemical Society and Scientific Reports.

In The Last Decade

Hailong Yang

147 papers receiving 1.7k citations

Hit Papers

Bubble-flux 2013 2026 2017 2021 2013 50 100 150 200 250
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.

  1. Bubble-flux
    2013 264 citations Hailong Yang et al. profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Hailong Yang China 20 1.0k 688 479 387 211 161 1.8k
Xubin He United States 25 1.7k 1.7× 718 1.0× 538 1.1× 307 0.8× 82 0.4× 164 2.0k
Xueyan Tang Singapore 34 2.3k 2.2× 792 1.2× 287 0.6× 311 0.8× 333 1.6× 178 4.0k
Zhiyi Huang New Zealand 19 556 0.5× 288 0.4× 269 0.6× 113 0.3× 127 0.6× 140 1.2k
Weiguo Wu China 20 410 0.4× 429 0.6× 104 0.2× 370 1.0× 258 1.2× 176 1.9k
Yao Chen China 22 398 0.4× 185 0.3× 365 0.8× 328 0.8× 494 2.3× 177 1.9k
Yi Wang China 28 2.3k 2.2× 549 0.8× 317 0.7× 412 1.1× 316 1.5× 219 3.3k
Hassan Gomaa United States 27 877 0.8× 1.4k 2.1× 330 0.7× 1.6k 4.2× 82 0.4× 165 2.5k
Fang Dong China 22 951 0.9× 703 1.0× 77 0.2× 383 1.0× 143 0.7× 193 1.5k
Zhigang Hu China 23 1.4k 1.3× 790 1.1× 1.0k 2.2× 163 0.4× 63 0.3× 128 2.6k
Xiaojun Wang China 27 613 0.6× 453 0.7× 280 0.6× 983 2.5× 173 0.8× 264 2.3k

Countries citing papers authored by Hailong Yang

Since Specialization
Citations

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

Fields of papers citing papers by Hailong Yang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Hailong Yang

This figure shows the co-authorship network connecting the top 25 collaborators of Hailong Yang. A scholar is included among the top collaborators of Hailong Yang 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 Hailong Yang. Hailong Yang 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.
Wang, Wenyan, Wei Shi, Hailong Yang, et al.. (2025). Prediction of colorectal cancer microsatellite instability and tumor mutational burden from histopathological images using multiple instance learning. Biomedical Signal Processing and Control. 104. 107608–107608. 2 indexed citations
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Yang, Hailong, et al.. (2025). Exploiting Dynamic Regular Patterns in Irregular Programs for Efficient Vectorization. ACM Transactions on Architecture and Code Optimization. 22(2). 1–25.
5.
Zhang, Laibin, Yubo Zhao, Hailong Yang, et al.. (2025). Grinding analysis of composite structure repair. Composites Communications. 58. 102506–102506. 2 indexed citations
6.
Wang, Haoyu, et al.. (2024). Study on the preparation and magnetodielectric properties of ferrite composite Co2Z/LFO-LZT for broadband antenna application. Journal of Magnetism and Magnetic Materials. 608. 172422–172422. 2 indexed citations
7.
Liu, Yi, et al.. (2024). Sifter: An Efficient Operator Auto-Tuner With Speculative Design Space Exploration for Deep Learning Compiler. IEEE Transactions on Computers. 74(10). 3251–3262. 1 indexed citations
8.
Xiao, Wencong, et al.. (2024). ElasticBatch: A Learning-Augmented Elastic Scheduling System for Batch Inference on MIG. IEEE Transactions on Parallel and Distributed Systems. 35(10). 1708–1720. 2 indexed citations
9.
Huang, Shaohan, Yi Liu, Jing Shang, et al.. (2024). Gloss: Guiding Large Language Models to Answer Questions from System Logs. 91–101. 2 indexed citations
10.
Yang, Hailong, et al.. (2024). AtRec: Accelerating Recommendation Model Training on CPUs. IEEE Transactions on Parallel and Distributed Systems. 35(6). 905–918. 1 indexed citations
11.
Ping, Xu, et al.. (2023). A synergistic multi-objective optimization mixed nonlinear dynamic modeling approach for organic Rankine cycle (ORC) under driving cycle. Applied Thermal Engineering. 228. 120455–120455. 15 indexed citations
12.
Zhang, Jianfu, et al.. (2023). On the oxidation resistance of sinusoidal microstructure fabricated by elliptical vibration cutting. Surface and Coatings Technology. 459. 129370–129370. 4 indexed citations
13.
Yang, Hailong, et al.. (2023). Adapting combined tiling to stencil optimizations on sunway processor. 5(3). 322–333. 1 indexed citations
14.
Ping, Xu, et al.. (2023). Ensemble learning-based nonlinear time series prediction and dynamic multi-objective optimization of organic rankine cycle (ORC) under actual driving cycle. Engineering Applications of Artificial Intelligence. 126. 106979–106979. 4 indexed citations
15.
Liu, Yi, et al.. (2023). Adaptive Auto-Tuning Framework for Global Exploration of Stencil Optimization on GPUs. IEEE Transactions on Parallel and Distributed Systems. 35(1). 20–33. 2 indexed citations
16.
Xiao, Wencong, Hailong Yang, Zhongzhi Luan, et al.. (2023). EasyScale: Elastic Training with Consistent Accuracy and Improved Utilization on GPUs. 1–14. 4 indexed citations
17.
Yang, Hailong, Fengwei Yu, Ruihao Gong, et al.. (2023). Exploiting Subgraph Similarities for Efficient Auto-tuning of Tensor Programs. 786–796. 2 indexed citations
18.
Yang, Hailong, Jun Xu, Lin Gan, et al.. (2023). Towards optimized tensor code generation for deep learning on sunway many-core processor. Frontiers of Computer Science. 18(2). 1 indexed citations
19.
Kong, Lingwei, Rong He, Hailong Yang, et al.. (2022). In Situ Surface PtCu Alloying on Delafossite-type CuAlO 2 as Electrocatalyst for Enhanced Methanol Oxidation. Journal of The Electrochemical Society. 169(7). 76508–76508. 3 indexed citations
20.
Zhuang, Guijun, et al.. (2022). A configurational analysis of cross-channel integration. Industrial Management & Data Systems. 122(7). 1686–1706. 5 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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