Meng Yan

2.9k total citations
134 papers, 1.9k citations indexed

About

Meng Yan is a scholar working on Information Systems, Software and Computer Networks and Communications. According to data from OpenAlex, Meng Yan has authored 134 papers receiving a total of 1.9k indexed citations (citations by other indexed papers that have themselves been cited), including 76 papers in Information Systems, 52 papers in Software and 45 papers in Computer Networks and Communications. Recurrent topics in Meng Yan's work include Software Engineering Research (68 papers), Software Reliability and Analysis Research (38 papers) and Software System Performance and Reliability (29 papers). Meng Yan is often cited by papers focused on Software Engineering Research (68 papers), Software Reliability and Analysis Research (38 papers) and Software System Performance and Reliability (29 papers). Meng Yan collaborates with scholars based in China, Singapore and United States. Meng Yan's co-authors include Xin Xia, Xiaohong Zhang, Ling Xu, Dan Yang, Yan Lei, David Lo, Edward Yi Chang, Zhou Xu, Shanping Li and Xiaoguang Mao and has published in prestigious journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, Expert Systems with Applications and IEEE Transactions on Software Engineering.

In The Last Decade

Meng Yan

119 papers receiving 1.9k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Meng Yan China 26 1.2k 734 572 559 213 134 1.9k
Ding Yuan China 26 1.3k 1.1× 683 0.9× 572 1.0× 1.3k 2.3× 553 2.6× 145 2.7k
Bing Xie China 22 1.2k 1.0× 546 0.7× 542 0.9× 812 1.5× 156 0.7× 90 2.0k
Shi Han China 24 591 0.5× 304 0.4× 571 1.0× 389 0.7× 282 1.3× 84 1.7k
Jianling Sun China 20 924 0.8× 395 0.5× 514 0.9× 366 0.7× 166 0.8× 79 1.4k
He Jiang China 25 1.3k 1.1× 618 0.8× 634 1.1× 378 0.7× 110 0.5× 161 1.8k
Phuong T. Nguyen Italy 22 555 0.5× 148 0.2× 352 0.6× 352 0.6× 114 0.5× 101 1.3k
Farhan Ullah China 22 544 0.5× 87 0.1× 657 1.1× 837 1.5× 242 1.1× 112 1.8k
Jitender Kumar Chhabra India 21 782 0.7× 503 0.7× 699 1.2× 298 0.5× 185 0.9× 95 1.5k
Xiaofei Xie Singapore 31 892 0.8× 1.1k 1.5× 1.6k 2.8× 473 0.8× 657 3.1× 173 3.2k
Arvinder Kaur India 23 1.3k 1.1× 1.2k 1.6× 450 0.8× 580 1.0× 59 0.3× 145 2.0k

Countries citing papers authored by Meng Yan

Since Specialization
Citations

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

Fields of papers citing papers by Meng Yan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Meng Yan

This figure shows the co-authorship network connecting the top 25 collaborators of Meng Yan. A scholar is included among the top collaborators of Meng Yan 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 Meng Yan. Meng Yan 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.
Sun, Weifeng, Meng Yan, Ling Xu, et al.. (2025). Retrieval-Augmented Fine-Tuning for Improving Retrieve-and-Edit Based Assertion Generation. IEEE Transactions on Software Engineering. 51(5). 1591–1614.
2.
Yan, Meng, et al.. (2025). A fusion algorithm of corrected J-T model and DBN network for precision prediction of spindle assembly. Proceedings of the Institution of Mechanical Engineers Part C Journal of Mechanical Engineering Science. 239(16). 6373–6388.
3.
Li, Ge, et al.. (2025). M2CVD: Enhancing Vulnerability Understanding through Multi-Model Collaboration for Code Vulnerability Detection. ACM Transactions on Software Engineering and Methodology. 1 indexed citations
4.
5.
Ma, Xiaodan, et al.. (2025). MSAFNet: a multi-scale data fusion-based drought recognition method for three-dimensional images of the soybean plant. Earth Science Informatics. 18(2). 1 indexed citations
6.
Qu, Kai, Yuan Zhong, Li Zhu, et al.. (2024). A Macrophage Membrane‐Functionalized, Reactive Oxygen Species‐Activatable Nanoprodrug to Alleviate Inflammation and Improve the Lipid Metabolism for Atherosclerosis Management. Advanced Healthcare Materials. 13(26). e2401113–e2401113. 10 indexed citations
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9.
Xie, Huan, Lei Yan, Meng Yan, et al.. (2024). Towards More Precise Coincidental Correctness Detection With Deep Semantic Learning. IEEE Transactions on Software Engineering. 50(12). 3265–3289. 1 indexed citations
10.
Sheng, Ni, Xiong Zhao, Shuai Wu, et al.. (2024). Phenylboronic acid functionalized dextran loading curcumin as nano-therapeutics for promoting the bacteria-infected diabetic wound healing. International Journal of Biological Macromolecules. 273(Pt 1). 133062–133062. 11 indexed citations
11.
Liu, Chao, et al.. (2023). Understanding the implementation issues when using deep learning frameworks. Information and Software Technology. 166. 107367–107367. 2 indexed citations
12.
Xu, Ling, et al.. (2023). Code semantic enrichment for deep code search. Journal of Systems and Software. 207. 111856–111856. 5 indexed citations
13.
Lei, Yan, et al.. (2022). Feature-FL: Feature-Based Fault Localization. IEEE Transactions on Reliability. 71(1). 264–283. 15 indexed citations
14.
Zhang, Xiaohong, et al.. (2021). HSA-Net: Hidden-State-Aware Networks for High-Precision QoS Prediction. IEEE Transactions on Parallel and Distributed Systems. 33(6). 1421–1435. 21 indexed citations
15.
Xu, Ling, et al.. (2021). A Probability Distribution and Location-aware ResNet Approach for QoS Prediction. Journal of Web Engineering. 9 indexed citations
16.
Xu, Zhou, Tao Zhang, Meng Yan, et al.. (2021). Effort-Aware Just-in-Time Bug Prediction for Mobile Apps Via Cross-Triplet Deep Feature Embedding. IEEE Transactions on Reliability. 71(1). 204–220. 22 indexed citations
17.
Xu, Zhou, et al.. (2021). Simplified Deep Forest Model Based Just-in-Time Defect Prediction for Android Mobile Apps. IEEE Transactions on Reliability. 70(2). 848–859. 27 indexed citations
18.
Xu, Ling, et al.. (2020). Multi-Dimension Convolutional Neural Network for Bug Localization. IEEE Transactions on Services Computing. 15(3). 1649–1663. 25 indexed citations
19.
Zou, Jie, et al.. (2015). An empirical study on stack overflow using topic analysis. 446–449. 3 indexed citations
20.
Liu, Hong, Meng Yan, Enmin Song, et al.. (2015). Myocardial motion estimation of tagged cardiac magnetic resonance images using tag motion constraints and multi-level b-splines interpolation. Magnetic Resonance Imaging. 34(4). 579–595. 2 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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