Xiaobing Sun

4.2k total citations · 1 hit paper
191 papers, 2.7k citations indexed

About

Xiaobing Sun is a scholar working on Information Systems, Software and Artificial Intelligence. According to data from OpenAlex, Xiaobing Sun has authored 191 papers receiving a total of 2.7k indexed citations (citations by other indexed papers that have themselves been cited), including 119 papers in Information Systems, 65 papers in Software and 48 papers in Artificial Intelligence. Recurrent topics in Xiaobing Sun's work include Software Engineering Research (95 papers), Software Reliability and Analysis Research (45 papers) and Software Testing and Debugging Techniques (37 papers). Xiaobing Sun is often cited by papers focused on Software Engineering Research (95 papers), Software Reliability and Analysis Research (45 papers) and Software Testing and Debugging Techniques (37 papers). Xiaobing Sun collaborates with scholars based in China, Hong Kong and Singapore. Xiaobing Sun's co-authors include Bin Li, Yucong Duan, Bixin Li, Lili Bo, Hareton Leung, Jiajun Hu, Weiqin Ying, Bin Li, Sicong Cao and Xin Xia and has published in prestigious journals such as IEEE Transactions on Geoscience and Remote Sensing, Expert Systems with Applications and IEEE Access.

In The Last Decade

Xiaobing Sun

178 papers receiving 2.6k citations

Hit Papers

BGNN4VD: Constructing Bidirectional Graph Neural-Network ... 2021 2026 2022 2024 2021 40 80 120

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Xiaobing Sun China 29 1.7k 846 799 661 365 191 2.7k
Zhen Ming Jiang Canada 33 1.9k 1.1× 768 0.9× 960 1.2× 1.6k 2.4× 167 0.5× 100 3.1k
Jianjun Zhao China 32 1.8k 1.1× 1.9k 2.2× 1.6k 1.9× 539 0.8× 466 1.3× 231 3.9k
Mohammad Azzeh Jordan 21 992 0.6× 629 0.7× 767 1.0× 236 0.4× 220 0.6× 83 2.1k
Lei Ma Japan 32 1.0k 0.6× 2.2k 2.6× 1.2k 1.5× 426 0.6× 630 1.7× 148 3.7k
Dongxi Liu Australia 24 904 0.5× 1.1k 1.3× 136 0.2× 616 0.9× 309 0.8× 111 2.2k
Gang Yin China 26 1.1k 0.7× 381 0.5× 165 0.2× 556 0.8× 117 0.3× 158 2.4k
Ding Yuan China 26 1.3k 0.8× 572 0.7× 683 0.9× 1.3k 2.0× 146 0.4× 145 2.7k
Michael Blaha United States 8 1.3k 0.8× 1.4k 1.6× 731 0.9× 912 1.4× 226 0.6× 11 3.0k
Juan de Lara Spain 25 1.3k 0.8× 1.3k 1.5× 1.7k 2.1× 415 0.6× 40 0.1× 233 2.8k
William Premerlani United States 18 1.6k 1.0× 1.7k 2.0× 819 1.0× 1.1k 1.7× 270 0.7× 34 4.2k

Countries citing papers authored by Xiaobing Sun

Since Specialization
Citations

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

Fields of papers citing papers by Xiaobing Sun

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Xiaobing Sun

This figure shows the co-authorship network connecting the top 25 collaborators of Xiaobing Sun. A scholar is included among the top collaborators of Xiaobing Sun 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 Xiaobing Sun. Xiaobing Sun 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.
Cao, Sicong, Xiaobing Sun, Ratnadira Widyasari, et al.. (2025). A Systematic Literature Review on Explainability for ML/DL-based Software Engineering. ACM Computing Surveys. 58(4). 1–34.
2.
Tian, Yuan, et al.. (2024). SCL-CVD: Supervised contrastive learning for code vulnerability detection via GraphCodeBERT. Computers & Security. 145. 103994–103994. 10 indexed citations
3.
Cao, Sicong, Xiaobing Sun, David Lo, et al.. (2024). Snopy: Bridging Sample Denoising with Causal Graph Learning for Effective Vulnerability Detection. 606–618. 1 indexed citations
4.
Cao, Sicong, et al.. (2024). Coca: Improving and Explaining Graph Neural Network-Based Vulnerability Detection Systems. 1–13. 15 indexed citations
5.
Bo, Lili, et al.. (2024). ChatBR: Automated assessment and improvement of bug report quality using ChatGPT. 1472–1483. 3 indexed citations
6.
Sun, Xiaobing, et al.. (2024). 1+1>2: Integrating Deep Code Behaviors with Metadata Features for Malicious PyPI Package Detection. 1159–1170. 2 indexed citations
7.
Ying, Weiqin, Lili Bo, Xiaobing Sun, et al.. (2023). Automated event extraction of CVE descriptions. Information and Software Technology. 158. 107178–107178. 12 indexed citations
8.
Jiang, Chao, et al.. (2023). A new ZNN model for finding discrete time-variant matrix square root: From model design to parameter analysis. Journal of Computational and Applied Mathematics. 431. 115260–115260. 3 indexed citations
9.
Sun, Xiaobing, et al.. (2023). Automatic software vulnerability assessment by extracting vulnerability elements. Journal of Systems and Software. 204. 111790–111790. 15 indexed citations
10.
Zhang, Jiale, et al.. (2023). ADFL: Defending backdoor attacks in federated learning via adversarial distillation. Computers & Security. 132. 103366–103366. 26 indexed citations
11.
Cao, Sicong, Xiaobing Sun, Lili Bo, et al.. (2023). Learning to Detect Memory-related Vulnerabilities. ACM Transactions on Software Engineering and Methodology. 33(2). 1–35. 11 indexed citations
12.
Ali, Aitizaz, Muhammad Fermi Pasha, Antonio Guerrieri, et al.. (2023). A Novel Homomorphic Encryption and Consortium Blockchain-Based Hybrid Deep Learning Model for Industrial Internet of Medical Things. IEEE Transactions on Network Science and Engineering. 10(5). 2402–2418. 36 indexed citations
13.
Duan, Yucong, et al.. (2019). Modeling Data, Information and Knowledge for Security Protection of Hybrid IoT and Edge Resources. IEEE Access. 7. 99161–99176. 33 indexed citations
14.
Sun, Xiaobing, et al.. (2019). Enabling Feature Location for API Method Recommendation and Usage Location. IEEE Access. 7. 49872–49881. 9 indexed citations
15.
Sun, Xiaobing, et al.. (2017). An Empirical Study on Real Bugs for Machine Learning Programs. 348–357. 47 indexed citations
16.
Sun, Xiaobing, Xiangyue Liu, Yucong Duan, & Bin Li. (2017). Using Hierarchical Latent Dirichlet Allocation to Construct Feature Tree for Program Comprehension. Scientific Programming. 2017. 1–11. 3 indexed citations
17.
Sun, Xiaobing, Bin Li, Yucong Duan, Wei Shi, & Xiangyue Liu. (2016). Mining Software Repositories for Automatic Interface Recommendation. Scientific Programming. 2016. 1–11. 15 indexed citations
18.
Sun, Xiaobing. (2011). A Commentary on the Innovation of China's Lifelong Education Theory. 3(2). 1. 2 indexed citations
19.
Sun, Xiaobing, Yanli Qiao, & Jin Hong. (2010). Review of Polarization Remote Sensing Techniques and Applications in the Visible and Infrared. 5(3). 175. 7 indexed citations
20.
Sun, Xiaobing, et al.. (2010). Total Internal Reflection Infrared Rain Sensor. Yibiao jishu yu chuanganqi. 96–98. 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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