Xin Xia

21.2k total citations · 14 hit papers
399 papers, 14.0k citations indexed

About

Xin Xia is a scholar working on Information Systems, Software and Artificial Intelligence. According to data from OpenAlex, Xin Xia has authored 399 papers receiving a total of 14.0k indexed citations (citations by other indexed papers that have themselves been cited), including 308 papers in Information Systems, 139 papers in Software and 107 papers in Artificial Intelligence. Recurrent topics in Xin Xia's work include Software Engineering Research (261 papers), Software Reliability and Analysis Research (88 papers) and Software Testing and Debugging Techniques (87 papers). Xin Xia is often cited by papers focused on Software Engineering Research (261 papers), Software Reliability and Analysis Research (88 papers) and Software Testing and Debugging Techniques (87 papers). Xin Xia collaborates with scholars based in China, Singapore and Australia. Xin Xia's co-authors include David Lo, Shanping Li, Xinyu Wang, Zhenchang Xing, Zhi Jin, Ahmed E. Hassan, Xing Hu, Ge Li, John Grundy and Hongzhi Yin and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and Scientific Reports.

In The Last Decade

Xin Xia

376 papers receiving 13.8k citations

Hit Papers

Smart Contract Developmen... 2015 2026 2018 2022 2019 2016 2018 2021 2022 100 200 300 400
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. Smart Contract Development: Challenges and Opportunities
    2019 441 citations David Lo, Xin Xia et al. IEEE Transactions on Software Engineering profile →
  2. Quantification of biochar effects on soil hydrological properties using meta-analysis of literature data
    2016 437 citations Xin Xia, Xiaoyu Liu et al. profile →
  3. Deep code comment generation
    2018 391 citations Xing Hu, Xin Xia et al. profile →
  4. Self-Supervised Hypergraph Convolutional Networks for Session-based Recommendation
    2021 339 citations Xin Xia, Hongzhi Yin et al. profile →
  5. Are Graph Augmentations Necessary?
    2022 298 citations Junliang Yu, Hongzhi Yin et al. profile →
  6. OPV2V: An Open Benchmark Dataset and Fusion Pipeline for Perception with Vehicle-to-Vehicle Communication
    2022 261 citations Runsheng Xu, Xin Xia et al. profile →
  7. Deep Learning for Just-in-Time Defect Prediction
    2015 238 citations David Lo, Xin Xia et al. profile →
  8. HYDRA: Massively Compositional Model for Cross-Project Defect Prediction
    2016 230 citations Xin Xia, David Lo et al. IEEE Transactions on Software Engineering profile →
  9. Practitioners' expectations on automated fault localization
    2016 223 citations Xin Xia, David Lo et al. profile →
  10. Deep code comment generation with hybrid lexical and syntactical information
    2019 201 citations Xing Hu, Xin Xia et al. profile →
  11. XSimGCL: Towards Extremely Simple Graph Contrastive Learning for Recommendation
    2023 154 citations Junliang Yu, Xin Xia et al. IEEE Transactions on Knowledge and Data Engineering profile →
  12. An automated driving systems data acquisition and analytics platform
    2023 126 citations Xin Xia, Zonglin Meng et al. Transportation Research Part C Emerging Technologies profile →
  13. A Survey on Deep Learning for Software Engineering
    2021 114 citations Xin Xia, David Lo et al. profile →
  14. VmambaIR: Visual State Space Model for Image Restoration
    2025 38 citations Xin Xia et al. profile →

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Xin Xia 10.2k 4.5k 4.5k 2.7k 1.9k 399 14.0k
Hongyu Zhang 6.9k 0.7× 3.9k 0.9× 4.4k 1.0× 4.0k 1.4× 1.3k 0.7× 512 12.3k
Grady Booch 7.5k 0.7× 6.9k 1.5× 4.6k 1.0× 3.1k 1.1× 409 0.2× 124 14.6k
James Rumbaugh 6.4k 0.6× 6.0k 1.3× 4.1k 0.9× 2.8k 1.0× 523 0.3× 57 12.5k
David Budgen 5.4k 0.5× 2.3k 0.5× 1.2k 0.3× 1.9k 0.7× 371 0.2× 130 10.7k
Ivar Jacobson 7.6k 0.7× 6.4k 1.4× 4.4k 1.0× 2.4k 0.9× 315 0.2× 82 13.0k
Bart Baesens 3.7k 0.4× 5.3k 1.2× 1.2k 0.3× 760 0.3× 327 0.2× 265 12.2k
Nor Badrul Anuar 2.5k 0.2× 2.0k 0.4× 447 0.1× 3.4k 1.2× 1.9k 1.0× 144 8.1k
Jinjun Chen 5.4k 0.5× 4.6k 1.0× 198 0.0× 4.9k 1.8× 964 0.5× 296 12.6k
Audris Mockus 6.9k 0.7× 1.7k 0.4× 2.5k 0.6× 1.5k 0.6× 344 0.2× 184 9.4k
Ali Selamat 1.8k 0.2× 2.1k 0.5× 295 0.1× 924 0.3× 551 0.3× 338 5.9k

Countries citing papers authored by Xin Xia

Since Specialization
Citations

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

Fields of papers citing papers by Xin Xia

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Xin Xia

This figure shows the co-authorship network connecting the top 25 collaborators of Xin Xia. A scholar is included among the top collaborators of Xin Xia 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 Xin Xia. Xin Xia 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.
Hu, Xing, et al.. (2025). An empirical study on vulnerability disclosure management of open source software systems. ACM Transactions on Software Engineering and Methodology.
2.
Gao, Cuiyun, et al.. (2025). An Empirical Study of Retrieval-Augmented Code Generation: Challenges and Opportunities. ACM Transactions on Software Engineering and Methodology. 4 indexed citations
3.
Hu, Xing, et al.. (2025). Understanding Practitioners’ Expectations on Clear Code Review Comments. Proceedings of the ACM on software engineering.. 2(ISSTA). 1257–1279. 2 indexed citations
4.
Ahmed, Iftekhar, Aldeida Aleti, Haipeng Cai, et al.. (2025). Artificial Intelligence for Software Engineering: The Journey So Far and the Road Ahead. ACM Transactions on Software Engineering and Methodology. 34(5). 1–27. 3 indexed citations
5.
6.
7.
Yu, Yue, et al.. (2024). GGT: Graph-guided testing for adversarial sample detection of deep neural network. Computers & Security. 140. 103710–103710. 2 indexed citations
8.
Bao, Lingfeng, et al.. (2024). A Large-Scale Empirical Study of Open Source License Usage: Practices and Challenges. 595–606. 3 indexed citations
9.
Liu, Zhongxin, et al.. (2024). Vulnerability Detection via Multiple-Graph-Based Code Representation. IEEE Transactions on Software Engineering. 50(8). 2178–2199. 14 indexed citations
10.
Pan, Shengyi, et al.. (2024). Automating Zero-Shot Patch Porting for Hard Forks. 363–375. 2 indexed citations
11.
12.
Xia, Xin, Zonglin Meng, Xu Han, et al.. (2023). An automated driving systems data acquisition and analytics platform. Transportation Research Part C Emerging Technologies. 151. 104120–104120. 126 indexed citations breakdown →
13.
Yu, Junliang, Xin Xia, Tong Chen, et al.. (2023). XSimGCL: Towards Extremely Simple Graph Contrastive Learning for Recommendation. IEEE Transactions on Knowledge and Data Engineering. 1–14. 154 indexed citations breakdown →
14.
Le-Cong, Thanh, Hong Jin Kang, Ratnadira Widyasari, et al.. (2023). Multi-Granularity Detector for Vulnerability Fixes. IEEE Transactions on Software Engineering. 49(8). 4035–4057. 9 indexed citations
15.
Gao, Cuiyun, et al.. (2022). Code Structure–Guided Transformer for Source Code Summarization. ACM Transactions on Software Engineering and Methodology. 32(1). 1–32. 73 indexed citations
16.
Wu, Tingmin, Xiao Chen, Sheng Wen, et al.. (2022). How Does Visualisation Help App Practitioners Analyse Android Apps?. IEEE Transactions on Dependable and Secure Computing. 20(3). 2238–2255. 1 indexed citations
17.
Zeng, Chen, Yue Yu, Shanshan Li, et al.. (2022). deGraphCS : Embedding Variable-based Flow Graph for Neural Code Search. ACM Transactions on Software Engineering and Methodology. 32(2). 1–27. 26 indexed citations
18.
Hussain, Waqar, Xin Xia, John Grundy, et al.. (2021). A first look at human values-violation in app reviews. University of Oulu Repository (University of Oulu). 24 indexed citations
19.
He, Qiang, Bo Li, Feifei Chen, et al.. (2020). Diversified Third-Party Library Prediction for Mobile App Development. IEEE Transactions on Software Engineering. 48(1). 150–165. 49 indexed citations
20.
Xu, Bowen, Zhenchang Xing, Xin Xia, & David Lo. (2017). AnswerBot: Automated generation of answer summary to developers' technical questions. 706–716. 84 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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