Yu Qu

600 total citations
39 papers, 426 citations indexed

About

Yu Qu is a scholar working on Information Systems, Computer Networks and Communications and Signal Processing. According to data from OpenAlex, Yu Qu has authored 39 papers receiving a total of 426 indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Information Systems, 16 papers in Computer Networks and Communications and 10 papers in Signal Processing. Recurrent topics in Yu Qu's work include Software Engineering Research (14 papers), Software System Performance and Reliability (11 papers) and Advanced Malware Detection Techniques (8 papers). Yu Qu is often cited by papers focused on Software Engineering Research (14 papers), Software System Performance and Reliability (11 papers) and Advanced Malware Detection Techniques (8 papers). Yu Qu collaborates with scholars based in China, United States and Canada. Yu Qu's co-authors include Ting Liu, Qinghua Zheng, Heng Yin, Di Cui, Huaxiang Zhang, Cheng Liang, Xiaohong Guan, Wuxia Jin, Xiao Dong and Zijiang Yang and has published in prestigious journals such as IEEE Access, Pattern Recognition and IEEE Transactions on Software Engineering.

In The Last Decade

Yu Qu

38 papers receiving 418 citations

Peers

Yu Qu

IS

SOFTW

CNC

AI

MB

Shuhao Li China

Dima Alhadidi Canada

Anna Corazza Italy

Haoran Yang China

Pascal Costanza Belgium

P. Bollmann Germany

Zhan Shi China

Ken Baclawski United States

Feng-Jian Wang Taiwan

Mateusz Pawlik Austria

Shuhao Li China

Yu Qu

132 ×0.6

IS

92 ×0.6

SOFTW

138 ×0.9

CNC

124 ×1.5

AI

32 ×0.5

MB

Citations per year, relative to Yu Qu Yu Qu (= 1×) peers Shuhao Li

Countries citing papers authored by Yu Qu

Since Specialization

Citations

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

Fields of papers citing papers by Yu Qu

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yu Qu

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

Qu, Yu, et al.. (2025). Potato Plant Variety Identification Study Based on Improved Swin Transformer. Agriculture. 15(1). 87–87. 1 indexed citations

2.

Liu, Xingkai, et al.. (2024). Integrating surface electromyography into physical therapy training with the support of STEM education. Frontiers in Neurology. 15. 1501619–1501619. 1 indexed citations

3.

Jin, Wuxia, Yitong Dai, Jian‐Guo Zheng, et al.. (2023). Dependency Facade: The Coupling and Conflicts between Android Framework and Its Customization. 1674–1686. 3 indexed citations

4.

Wang, Zhihui, et al.. (2022). Spartina Alterniflora Classification at Patch Scale Based on Feature Fusion and Deep Learning. IGARSS 2022 - 2022 IEEE International Geoscience and Remote Sensing Symposium. 31. 1540–1543. 1 indexed citations

5.

Qu, Yu & Heng Yin. (2021). Evaluating network embedding techniques’ performances in software bug prediction. Empirical Software Engineering. 26(4). 16 indexed citations

6.

Qu, Yu, et al.. (2019). DECAF++: Elastic Whole-System Dynamic Taint Analysis.. 31–45. 9 indexed citations

7.

Cui, Di, Ting Liu, Yuanfang Cai, et al.. (2019). Investigating the Impact of Multiple Dependency Structures on Software Defects. 584–595. 18 indexed citations

8.

Qu, Yu, et al.. (2018). node2defect: using network embedding to improve software defect prediction. 844–849. 21 indexed citations

9.

Qu, Yu, Huaxiang Zhang, Chen Lyu, & Cheng Liang. (2018). LLCMDA: A Novel Method for Predicting miRNA Gene and Disease Relationship Based on Locality-Constrained Linear Coding. Frontiers in Genetics. 9. 576–576. 21 indexed citations

10.

Qu, Yu, Huaxiang Zhang, Cheng Liang, Pingjian Ding, & Jiawei Luo. (2018). SNMDA: A novel method for predicting microRNA‐disease associations based on sparse neighbourhood. Journal of Cellular and Molecular Medicine. 22(10). 5109–5120. 10 indexed citations

11.

Qu, Yu, Huaxiang Zhang, Cheng Liang, & Xiao Dong. (2017). KATZMDA: Prediction of miRNA-Disease Associations Based on KATZ Model. IEEE Access. 6. 3943–3950. 39 indexed citations

12.

Towey, Dave, David A. Foster, Paul Martín, et al.. (2017). Students as Partners in a Multi-Media Note-Taking App Development: Best Practices. 12 indexed citations

13.

Jin, Wuxia, et al.. (2017). Dynamic structure measurement for distributed software. Software Quality Journal. 26(3). 1119–1145. 9 indexed citations

14.

Zheng, Qinghua, et al.. (2016). Mixed Intuitionistic Fuzzy Aggregation Operators decreasing results of unusual IFNs. 221. 896–903. 3 indexed citations

15.

Qu, Yu, et al.. (2015). Calling Network. ACM SIGSOFT Software Engineering Notes. 40(1). 1–8. 12 indexed citations

16.

Qu, Yu, Xiaohong Guan, Qinghua Zheng, et al.. (2015). Exploring community structure of software Call Graph and its applications in class cohesion measurement. Journal of Systems and Software. 108. 193–210. 34 indexed citations

17.

Guan, Xiaohong, et al.. (2012). An Identity Authentication Mechanism Based on Timing Covert Channel. 832–836. 7 indexed citations

18.

Liu, Ting, et al.. (2011). A layered classification for malicious function identification and malware detection. Concurrency and Computation Practice and Experience. 24(11). 1169–1179. 3 indexed citations

19.

Su, Hongye, et al.. (2011). Approximate mining of global closed frequent itemsets over data streams. Journal of the Franklin Institute. 348(6). 1052–1081. 1 indexed citations

20.

Tang, Yuan Yan, Yu Qu, & Ching Y. Suen. (1991). Multiple-level information source and entropy-reduced transformation models. Pattern Recognition. 24(4). 341–357. 3 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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