Xin Peng

5.0k total citations · 3 hit papers
225 papers, 3.0k citations indexed

About

Xin Peng is a scholar working on Information Systems, Artificial Intelligence and Computer Networks and Communications. According to data from OpenAlex, Xin Peng has authored 225 papers receiving a total of 3.0k indexed citations (citations by other indexed papers that have themselves been cited), including 167 papers in Information Systems, 94 papers in Artificial Intelligence and 78 papers in Computer Networks and Communications. Recurrent topics in Xin Peng's work include Software Engineering Research (125 papers), Software System Performance and Reliability (69 papers) and Advanced Software Engineering Methodologies (55 papers). Xin Peng is often cited by papers focused on Software Engineering Research (125 papers), Software System Performance and Reliability (69 papers) and Advanced Software Engineering Methodologies (55 papers). Xin Peng collaborates with scholars based in China, Singapore and Australia. Xin Peng's co-authors include Wenyun Zhao, Zhenchang Xing, Bihuan Chen, Jun Sun, Tao Xie, Xiang Zhou, Mingwei Liu, Chao Ji, Yang Liu and Dan Ding and has published in prestigious journals such as The Journal of Chemical Physics, The Science of The Total Environment and Scientific Reports.

In The Last Decade

Xin Peng

203 papers receiving 3.0k citations

Hit Papers

Fault Analysis and Debugging of Microservice Systems: Ind... 2018 2026 2020 2023 2018 2024 2025 50 100 150 200

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Xin Peng China 29 2.1k 1.5k 1.1k 756 337 225 3.0k
Hailong Sun China 20 1.7k 0.8× 950 0.6× 765 0.7× 402 0.5× 278 0.8× 161 2.3k
Thorsten Berger Germany 30 2.6k 1.2× 991 0.7× 2.3k 2.0× 971 1.3× 210 0.6× 120 3.2k
Romain Robbes Chile 31 2.9k 1.4× 921 0.6× 989 0.9× 1.5k 2.0× 335 1.0× 98 3.3k
Filippo Ricca Italy 32 2.4k 1.1× 915 0.6× 764 0.7× 1.7k 2.2× 378 1.1× 165 3.0k
Houari Sahraoui Canada 32 2.5k 1.2× 774 0.5× 947 0.8× 1.6k 2.1× 312 0.9× 143 2.9k
E. James Whitehead United States 25 2.9k 1.4× 1.2k 0.8× 906 0.8× 1.9k 2.5× 278 0.8× 66 3.3k
Earl T. Barr United Kingdom 23 2.5k 1.2× 763 0.5× 985 0.9× 2.0k 2.7× 647 1.9× 71 3.4k
Reid Holmes Canada 28 2.5k 1.2× 670 0.4× 688 0.6× 1.5k 2.0× 335 1.0× 87 3.1k
Abram Hindle Canada 32 2.9k 1.4× 1.2k 0.8× 857 0.8× 1.2k 1.6× 686 2.0× 152 3.9k
Sebastiano Panichella Switzerland 33 2.9k 1.4× 650 0.4× 772 0.7× 1.3k 1.7× 497 1.5× 108 3.5k

Countries citing papers authored by Xin Peng

Since Specialization
Citations

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

Fields of papers citing papers by Xin Peng

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Xin Peng

This figure shows the co-authorship network connecting the top 25 collaborators of Xin Peng. A scholar is included among the top collaborators of Xin Peng 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 Peng. Xin Peng 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.
Peng, Xin, et al.. (2025). Deep learning-based prediction of autoimmune diseases. Scientific Reports. 15(1). 4576–4576. 2 indexed citations
2.
Hu, Kun, et al.. (2025). Structure-Aware, Diagnosis-Guided ECU Firmware Fuzzing. Proceedings of the ACM on software engineering.. 2(ISSTA). 871–893.
3.
Peng, Xin, et al.. (2024). Global patterns and determinants of the initial concentrations of litter carbon components. The Science of The Total Environment. 951. 175844–175844. 1 indexed citations
5.
Peng, Xin, et al.. (2024). Embryo injected with Ochratoxin A induced jejunum injury in ducklings by activating the TLR4 signaling pathway: Involvement of intestinal microbiota. Ecotoxicology and Environmental Safety. 281. 116666–116666. 2 indexed citations
7.
Wu, Yijian, et al.. (2023). Revealing code change propagation channels by evolution history mining. Journal of Systems and Software. 208. 111912–111912.
8.
Wang, Chong, et al.. (2023). XCoS: Explainable Code Search Based on Query Scoping and Knowledge Graph. ACM Transactions on Software Engineering and Methodology. 32(6). 1–28. 11 indexed citations
9.
Du, Xueying, et al.. (2023). KG4CraSolver: Recommending Crash Solutions via Knowledge Graph. 1242–1254. 1 indexed citations
10.
Ma, Chenglong, Xin Peng, Dehui Zhu, et al.. (2023). Laser additive manufactured NiTi-based bioinspired helicoidal structure with excellent pseudoelasticity and energy absorption capacity. Journal of Manufacturing Processes. 108. 610–623. 11 indexed citations
11.
Liu, Mingwei, et al.. (2023). Recommending Analogical APIs via Knowledge Graph Embedding. 1496–1508. 5 indexed citations
12.
Liu, Mingwei, et al.. (2023). Task-Oriented ML/DL Library Recommendation Based on a Knowledge Graph. IEEE Transactions on Software Engineering. 49(8). 4081–4096. 6 indexed citations
13.
Peng, Xin. (2023). Software development in the age of intelligence: embracing large language models with the right approach. Frontiers of Information Technology & Electronic Engineering. 24(11). 1513–1519. 1 indexed citations
14.
Chen, Chi, et al.. (2021). Holistic Combination of Structural and Textual Code Information for Context Based API Recommendation. IEEE Transactions on Software Engineering. 48(8). 2987–3009. 33 indexed citations
15.
Liu, Mingwei, et al.. (2021). API-Related Developer Information Needs in Stack Overflow. IEEE Transactions on Software Engineering. 48(11). 4485–4500. 16 indexed citations
16.
Guo, Xiaofeng, et al.. (2020). Graph-based trace analysis for microservice architecture understanding and problem diagnosis. 1387–1397. 68 indexed citations
17.
Wang, Liming, et al.. (2019). Green Performance Optimization of Mechatronic Products Based on Green Features and QFD Technology. Zhongguo jixie gongcheng. 30(19). 2349. 1 indexed citations
18.
Wang, Jiangtao, et al.. (2018). Enabling Human-Centric Smart Cities: Crowdsourcing-Based Practice in China. Computer. 51(12). 42–49. 6 indexed citations
19.
Wang, Jinshui, Xin Peng, Zhenchang Xing, & Wenyun Zhao. (2013). Improving feature location practice with multi-faceted interactive exploration. International Conference on Software Engineering. 762–771. 28 indexed citations
20.
Peng, Xin, Liwei Shen, & Wenyun Zhao. (2009). An Architecture-based Evolution Management Method for Software Product Line.. Software Engineering and Knowledge Engineering. 135–140. 6 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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