Jiajun Jiang

1.1k total citations · 1 hit paper
36 papers, 689 citations indexed

About

Jiajun Jiang is a scholar working on Software, Information Systems and Artificial Intelligence. According to data from OpenAlex, Jiajun Jiang has authored 36 papers receiving a total of 689 indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Software, 18 papers in Information Systems and 11 papers in Artificial Intelligence. Recurrent topics in Jiajun Jiang's work include Software Engineering Research (18 papers), Software Testing and Debugging Techniques (18 papers) and Software Reliability and Analysis Research (11 papers). Jiajun Jiang is often cited by papers focused on Software Engineering Research (18 papers), Software Testing and Debugging Techniques (18 papers) and Software Reliability and Analysis Research (11 papers). Jiajun Jiang collaborates with scholars based in China, United States and Australia. Jiajun Jiang's co-authors include Yingfei Xiong, Hongyu Zhang, Qing Gao, Xiangqun Chen, Junjie Chen, Zan Wang, Weijing Wang, Lin Yang, Wenbin Zhang and Lingming Zhang and has published in prestigious journals such as Sensors and Actuators B Chemical, IEEE Transactions on Software Engineering and Journal of Food Composition and Analysis.

In The Last Decade

Jiajun Jiang

30 papers receiving 679 citations

Hit Papers

Shaping program repair space with existing patches and si... 2018 2026 2020 2023 2018 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
Jiajun Jiang China 11 398 377 231 199 89 36 689
Yongqiang Tian China 10 174 0.4× 171 0.5× 66 0.3× 134 0.7× 67 0.8× 30 358
Zhaoguo Wang China 10 199 0.5× 193 0.5× 395 1.7× 177 0.9× 411 4.6× 25 612
Daniel Gibert Spain 10 75 0.2× 272 0.7× 600 2.6× 412 2.1× 701 7.9× 20 821
Nwokedi Idika United States 7 54 0.1× 232 0.6× 354 1.5× 129 0.6× 304 3.4× 9 424
Nurbol Luktarhan China 11 20 0.1× 118 0.3× 291 1.3× 271 1.4× 203 2.3× 24 422
Yu‐Sung Wu Taiwan 9 29 0.1× 193 0.5× 405 1.8× 179 0.9× 149 1.7× 34 496
Pengfei Chen China 9 51 0.1× 158 0.4× 324 1.4× 154 0.8× 14 0.2× 18 398
Marc Brooker South Africa 5 48 0.1× 138 0.4× 208 0.9× 84 0.4× 15 0.2× 13 317
Swarup Kumar Sahoo United States 9 155 0.4× 105 0.3× 233 1.0× 66 0.3× 27 0.3× 19 518
Karl R.P.H. Leung China 5 102 0.3× 73 0.2× 100 0.4× 59 0.3× 87 1.0× 10 305

Countries citing papers authored by Jiajun Jiang

Since Specialization
Citations

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

Fields of papers citing papers by Jiajun Jiang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jiajun Jiang

This figure shows the co-authorship network connecting the top 25 collaborators of Jiajun Jiang. A scholar is included among the top collaborators of Jiajun Jiang 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 Jiajun Jiang. Jiajun Jiang 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.
Dong, Chaofang, Liangliang Lin, Jiajun Jiang, et al.. (2025). A dual-signal amplification strategy for electrochemical biosensing of transfer RNA-derived fragments targeting drug-resistant liver cancer. Sensors and Actuators B Chemical. 436. 137693–137693.
2.
Wang, Jianrong, et al.. (2025). DESIL: Detecting Silent Bugs in MLIR Compiler Infrastructure. Proceedings of the ACM on Programming Languages. 9(OOPSLA2). 3093–3119.
3.
Jiang, Jiajun, et al.. (2025). Hybrid Automated Program Repair by Combining Large Language Models and Program Analysis. ACM Transactions on Software Engineering and Methodology. 34(7). 1–28. 5 indexed citations
4.
Chen, Junjie, et al.. (2025). Evaluating Spectrum-Based Fault Localization on Deep Learning Libraries. IEEE Transactions on Software Engineering. 51(5). 1399–1414.
5.
Zou, Zhiyong, Meng-Hua Li, Qianlong Wang, et al.. (2025). The prediction of kiwi quality attributes based on multi-source data fusion comprehensive analysis model using HSI and FHSI. Journal of Food Composition and Analysis. 144. 107645–107645. 4 indexed citations
6.
Zou, Zhiyong, Meng-Hua Li, Huan Wang, et al.. (2025). Identification of mixing ratios of new and used hot pot oil using multi-source and NRBO-optimized deep learning. Journal of Food Composition and Analysis. 146. 107993–107993.
7.
Jiang, Jiajun, et al.. (2025). Application of digital-intelligent technologies in physical education: a systematic review. Frontiers in Public Health. 13. 1626603–1626603.
8.
Jiang, Jiajun, Zhirui Ye, Mengjiao Liu, et al.. (2025). Boosting Redundancy-Based Automated Program Repair by Fine-Grained Pattern Mining. 85–97.
9.
Chen, Junjie, et al.. (2024). Fuzzing MLIR Compiler Infrastructure via Operation Dependency Analysis. 1287–1299. 7 indexed citations
10.
Chen, Junjie, et al.. (2024). Dependency-Aware Code Naturalness. Proceedings of the ACM on Programming Languages. 8(OOPSLA2). 2355–2377. 3 indexed citations
11.
Jiang, Jiajun, et al.. (2024). A Large-Scale Empirical Study on Improving the Fairness of Image Classification Models. 210–222. 2 indexed citations
12.
Liu, Shuang, et al.. (2024). Testing Graph Database Systems with Graph-State Persistence Oracle. 666–677. 2 indexed citations
13.
Jiang, Jiajun, et al.. (2023). Variable-based Fault Localization via Enhanced Decision Tree. ACM Transactions on Software Engineering and Methodology. 33(2). 1–32. 4 indexed citations
15.
Chen, Junjie, Hangyu Mao, Jiajun Jiang, et al.. (2023). Achieving Last-Mile Functional Coverage in Testing Chip Design Software Implementations. 1 indexed citations
16.
Chen, Junjie, et al.. (2023). Compiler Test-Program Generation via Memoized Configuration Search. 2035–2047. 11 indexed citations
17.
Yang, Lin, et al.. (2023). Can Code Representation Boost IR-Based Test Case Prioritization?. 240–251. 3 indexed citations
18.
Yang, Lin, Junjie Chen, Zan Wang, et al.. (2021). PLELog: Semi-Supervised Log-Based Anomaly Detection via Probabilistic Label Estimation. 230–231. 36 indexed citations
19.
Liang, Jingjing, et al.. (2021). Interactive Patch Filtering as Debugging Aid. 239–250. 13 indexed citations
20.
Jiang, Jiajun, Rui Xu, Scott James, & Chicheng Xu. (2020). Deep-Learning-Based Vuggy Facies Identification from Borehole Images. SPE Reservoir Evaluation & Engineering. 24(1). 250–261. 15 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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