Jun Ai

526 total citations
61 papers, 338 citations indexed

About

Jun Ai is a scholar working on Software, Information Systems and Computer Networks and Communications. According to data from OpenAlex, Jun Ai has authored 61 papers receiving a total of 338 indexed citations (citations by other indexed papers that have themselves been cited), including 37 papers in Software, 31 papers in Information Systems and 22 papers in Computer Networks and Communications. Recurrent topics in Jun Ai's work include Software Reliability and Analysis Research (35 papers), Software Engineering Research (29 papers) and Software System Performance and Reliability (20 papers). Jun Ai is often cited by papers focused on Software Reliability and Analysis Research (35 papers), Software Engineering Research (29 papers) and Software System Performance and Reliability (20 papers). Jun Ai collaborates with scholars based in China, United States and Australia. Jun Ai's co-authors include Zhenning Xu, Yihai He, Minyan Lu, Jingyu Liu, Fei Wang, Yulei Sui, Ting Lin, Qi Ao, Zhan Su and Wei Dai and has published in prestigious journals such as IEEE Access, Sensors and Neural Networks.

In The Last Decade

Jun Ai

53 papers receiving 323 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Jun Ai China 10 197 177 119 68 33 61 338
Claudio Menghi Italy 12 95 0.5× 172 1.0× 67 0.6× 171 2.5× 37 1.1× 51 365
Yunwei Dong China 8 64 0.3× 140 0.8× 45 0.4× 64 0.9× 58 1.8× 81 280
Leonardo Montecchi Italy 9 75 0.4× 72 0.4× 78 0.7× 57 0.8× 38 1.2× 50 209
Nary Subramanian United States 12 214 1.1× 69 0.4× 105 0.9× 179 2.6× 50 1.5× 53 357
Ken Keefe United States 6 164 0.8× 48 0.3× 155 1.3× 29 0.4× 34 1.0× 11 265
Paulo Romero Martins Maciel Brazil 11 142 0.7× 46 0.3× 210 1.8× 27 0.4× 18 0.5× 46 317
Siwar Kriaa France 4 123 0.6× 50 0.3× 52 0.4× 43 0.6× 90 2.7× 6 280
Mario Trapp Germany 12 99 0.5× 198 1.1× 64 0.5× 165 2.4× 138 4.2× 45 408
Falk Howar Germany 10 73 0.4× 138 0.8× 36 0.3× 121 1.8× 18 0.5× 45 260
Daniel Balasubramanian United States 8 67 0.3× 85 0.5× 69 0.6× 110 1.6× 7 0.2× 36 234

Countries citing papers authored by Jun Ai

Since Specialization
Citations

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

Fields of papers citing papers by Jun Ai

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jun Ai

This figure shows the co-authorship network connecting the top 25 collaborators of Jun Ai. A scholar is included among the top collaborators of Jun Ai 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 Jun Ai. Jun Ai 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.
Lu, Minyan, et al.. (2024). An Empirical Study on the Effect of Training Data Perturbations on Neural Network Robustness. Sensors. 24(15). 4874–4874. 2 indexed citations
2.
3.
Ai, Jun, et al.. (2023). Improving Software Defect Prediction in Noisy Imbalanced Datasets. Applied Sciences. 13(18). 10466–10466. 6 indexed citations
4.
Ai, Jun, et al.. (2023). GRAND: GAN-based software runtime anomaly detection method using trace information. Neural Networks. 169. 365–377. 5 indexed citations
5.
Ai, Jun, et al.. (2023). CL-MMAD: A Contrastive Learning Based Multimodal Software Runtime Anomaly Detection Method. Applied Sciences. 13(6). 3596–3596. 2 indexed citations
6.
Ai, Jun, et al.. (2023). Software Operation Anomalies Diagnosis Method Based on a Multiple Time Windows Mixed Model. Applied Sciences. 13(20). 11349–11349. 3 indexed citations
7.
Yu, Dan, et al.. (2023). Assessing ChatGPT’s Comprehension of Perturbed Text through Text Linguistic Features. abs 1912 5957. 839–850. 1 indexed citations
8.
He, Yihai, et al.. (2022). Integrated mission reliability modeling based on extended quality state task network for intelligent multistate manufacturing systems. Reliability Engineering & System Safety. 223. 108495–108495. 21 indexed citations
9.
Wang, Jie, et al.. (2020). The Quantitative Relationship between Adversarial Training and Robustness of CNN Model. 29. 543–549. 2 indexed citations
10.
Liu, Yudi, Minyan Lu, Di Peng, Jie Wang, & Jun Ai. (2020). Analysis on Adversarial Robustness of Deep Learning Model LeNet-5 Based on Data Perturbation. 162–167. 1 indexed citations
11.
Ai, Jun, et al.. (2020). Defect Prediction With Semantics and Context Features of Codes Based on Graph Representation Learning. IEEE Transactions on Reliability. 70(2). 613–625. 55 indexed citations
12.
Ai, Jun, et al.. (2019). A Clone Code Detection Method Based on Software Complex Network. 120–121. 1 indexed citations
13.
Liu, Pan, Jun Ai, & Zhenning Xu. (2017). A study for extended regular expression-based testing. 821–826. 10 indexed citations
14.
Ai, Jun, et al.. (2016). MHCP Model for Quality Evaluation for Software Structure Based on Software Complex Network. 14. 298–308. 7 indexed citations
15.
16.
Wang, Jinhui, Jun Ai, & Lin Huang. (2013). Combined Reliability Testing Profile Model and Application for Embedded System. Advanced materials research. 846-847. 587–591.
17.
Ai, Jun, et al.. (2013). Shortening the Cycle of Software Reliability Testing with Fuzzy Discrimination. 10. 21–29. 2 indexed citations
18.
Ai, Jun. (2012). Finite-Time Robust Dissipative Control for a Class of Descriptor Systems. Journal of Northeastern University. 4 indexed citations
19.
Lin, Ting & Jun Ai. (2006). Novel complex filter with recursive algorithm for phasor computation in power-quality monitoring. IEE Proceedings - Generation Transmission and Distribution. 153(3). 283–283. 8 indexed citations
20.
Ai, Jun. (2005). Study on Urea-Modified Phenol Formaldehyde Resin Adhesive. 1 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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