Yu Qiao

735 total citations · 1 hit paper
24 papers, 350 citations indexed

About

Yu Qiao is a scholar working on Computer Networks and Communications, Information Systems and Civil and Structural Engineering. According to data from OpenAlex, Yu Qiao has authored 24 papers receiving a total of 350 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Computer Networks and Communications, 8 papers in Information Systems and 6 papers in Civil and Structural Engineering. Recurrent topics in Yu Qiao's work include Software System Performance and Reliability (6 papers), Distributed systems and fault tolerance (4 papers) and Cloud Computing and Resource Management (4 papers). Yu Qiao is often cited by papers focused on Software System Performance and Reliability (6 papers), Distributed systems and fault tolerance (4 papers) and Cloud Computing and Resource Management (4 papers). Yu Qiao collaborates with scholars based in China, United States and Germany. Yu Qiao's co-authors include Zheng Zheng, Kishor S. Trivedi, Tong He, Zhijian Liu, Xiaoyang Wu, Hengshuang Zhao, Peng‐Shuai Wang, Li Jiang, Wanli Ouyang and Xihui Liu and has published in prestigious journals such as Scientific Reports, Materials and Engineering Structures.

In The Last Decade

Yu Qiao

20 papers receiving 343 citations

Hit Papers

Point Transformer V3: Simpler, Faster, Stronger 2024 2026 2025 2024 40 80 120
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. Point Transformer V3: Simpler, Faster, Stronger
    2024 125 citations Xiaoyang Wu, Li Jiang 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
Yu Qiao China 11 114 109 86 69 56 24 350
Duksan Ryu South Korea 9 129 1.1× 469 4.3× 386 4.5× 88 1.3× 27 0.5× 35 639
Jin Wu China 7 87 0.8× 84 0.8× 4 0.0× 79 1.1× 23 0.4× 37 278
Guorui Li China 12 305 2.7× 38 0.3× 3 0.0× 28 0.4× 21 0.4× 51 441
Jice Zeng United States 10 106 0.9× 36 0.3× 10 0.1× 6 0.1× 3 0.1× 26 302
Ning Sun China 8 15 0.1× 17 0.2× 31 0.4× 61 0.9× 7 0.1× 23 276
Jin He China 8 52 0.5× 36 0.3× 22 0.3× 54 1.0× 30 338
Xiaoqing Li China 10 95 0.8× 13 0.1× 7 0.1× 19 0.3× 16 0.3× 29 346
Dmytro Bobkov Germany 6 24 0.2× 11 0.1× 3 0.0× 30 0.4× 19 0.3× 11 328

Countries citing papers authored by Yu Qiao

Since Specialization
Citations

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

Fields of papers citing papers by Yu Qiao

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yu Qiao

This figure shows the co-authorship network connecting the top 25 collaborators of Yu Qiao. A scholar is included among the top collaborators of Yu Qiao 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 Yu Qiao. Yu Qiao 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.
Li, Zilong, et al.. (2025). Impact of Branch Pipe Valve Closure Procedures on Pipeline Water Hammer Pressure: A Case Study of Xinlongkou Hydropower Station. Applied Sciences. 15(2). 897–897. 1 indexed citations
2.
Wang, Xuhong, Haoyu Jiang, Yi Yu, et al.. (2025). Building intelligence identification system via large language model watermarking: a survey and beyond. Artificial Intelligence Review. 58(8). 2 indexed citations
3.
Yang, Zefeng, Biao Wang, Fengqi Zhou, et al.. (2024). Understanding natural language: Potential application of large language models to ophthalmology. Asia-Pacific Journal of Ophthalmology. 13(4). 100085–100085. 18 indexed citations
4.
5.
Wu, Xiaoyang, Li Jiang, Peng‐Shuai Wang, et al.. (2024). Point Transformer V3: Simpler, Faster, Stronger. 4840–4851. 125 indexed citations breakdown →
6.
Wu, Hao, et al.. (2024). Impact of excavation footage on vertical shaft lining deformation and surrounding rock stress in Xiyu conglomerate. Scientific Reports. 14(1). 25659–25659. 1 indexed citations
7.
Qiao, Yu, et al.. (2023). Exploring Error Bits for Memory Failure Prediction: An In-Depth Correlative Study. arXiv (Cornell University). 1–9. 2 indexed citations
8.
Qiao, Yu, et al.. (2023). HiMFP: Hierarchical Intelligent Memory Failure Prediction for Cloud Service Reliability. 216–228. 8 indexed citations
9.
Bogatinovski, Jasmin, Odej Kao, Yu Qiao, & Jorge Cardoso. (2022). First CE Matters: On the Importance of Long Term Properties on Memory Failure Prediction. 2022 IEEE International Conference on Big Data (Big Data). 4733–4736. 4 indexed citations
10.
Liu, Weijia, Xujing Niu, Ning Yang, et al.. (2021). Prediction Model of Concrete Initial Setting Time Based on Stepwise Regression Analysis. Materials. 14(12). 3201–3201. 10 indexed citations
11.
12.
Peng, Haoyang, Peng Lin, Wenqi Chen, et al.. (2020). A Positioning Method of Temperature Sensors for Monitoring Dam Global Thermal Field. Frontiers in Materials. 7. 6 indexed citations
13.
Peng, Haoyang, Peng Lin, Ning Yang, Ming Li, & Yu Qiao. (2019). Real time thermal field analysis on Wudongde super high arch dam during construction. Global Energy Interconnection. 2(3). 264–269. 3 indexed citations
14.
Zhang, Xu, et al.. (2019). Valley Deformation and Slope Seismic Analysis near Tail Water Outlet of a Hydropower Station. IOP Conference Series Earth and Environmental Science. 237. 32077–32077. 1 indexed citations
15.
Wei, Pengcheng, et al.. (2018). Study on Grouting Timing Relating to Riverbed Foundation of Wudongde Arch Dam. 1 indexed citations
16.
Zheng, Zheng, et al.. (2018). Studying Aging-Related Bug Prediction Using Cross-Project Models. IEEE Transactions on Reliability. 68(3). 1134–1153. 37 indexed citations
17.
Qiao, Yu, et al.. (2018). An Empirical Study on Software Aging Indicators Prediction in Android Mobile. 271–277. 14 indexed citations
18.
Zheng, Zheng, et al.. (2017). An Empirical Investigation of Fault Triggers in Android Operating System. 5. 135–144. 21 indexed citations
19.
Qiao, Yu, et al.. (2016). An Empirical Study of Software Aging Manifestations in Android. 1. 84–90. 19 indexed citations
20.
Zheng, Zheng, et al.. (2015). Cross-Project Aging Related Bug Prediction. 43–48. 17 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.

Explore authors with similar magnitude of impact

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