Peng Qian

2.1k total citations · 1 hit paper
45 papers, 907 citations indexed

About

Peng Qian is a scholar working on Artificial Intelligence, Information Systems and Automotive Engineering. According to data from OpenAlex, Peng Qian has authored 45 papers receiving a total of 907 indexed citations (citations by other indexed papers that have themselves been cited), including 21 papers in Artificial Intelligence, 15 papers in Information Systems and 5 papers in Automotive Engineering. Recurrent topics in Peng Qian's work include Topic Modeling (15 papers), Natural Language Processing Techniques (14 papers) and Blockchain Technology Applications and Security (11 papers). Peng Qian is often cited by papers focused on Topic Modeling (15 papers), Natural Language Processing Techniques (14 papers) and Blockchain Technology Applications and Security (11 papers). Peng Qian collaborates with scholars based in China, United States and Singapore. Peng Qian's co-authors include Qinming He, Zhenguang Liu, Xiang Wang, Roger Lévy, Yuan Zhuang, Qi Liu, Roger Zimmermann, Richard Futrell, Ethan Wilcox and Xun Wang and has published in prestigious journals such as SHILAP Revista de lepidopterología, Expert Systems with Applications and IEEE Access.

In The Last Decade

Peng Qian

42 papers receiving 875 citations

Hit Papers

Smart Contract Vulnerability Detection using Graph Neural... 2020 2026 2022 2024 2020 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
Peng Qian China 15 472 380 141 96 79 45 907
Stefan Conrad Germany 14 275 0.6× 415 1.1× 124 0.9× 30 0.3× 88 1.1× 125 819
Vlado Kešelj Canada 13 343 0.7× 548 1.4× 287 2.0× 42 0.4× 13 0.2× 74 986
Aly A. Fahmy Egypt 9 202 0.4× 469 1.2× 66 0.5× 70 0.7× 20 0.3× 24 740
Muhammad Al‐Qurishi Saudi Arabia 19 362 0.8× 258 0.7× 106 0.8× 74 0.8× 12 0.2× 43 859
Ilyas Cicekli Türkiye 14 166 0.4× 694 1.8× 29 0.2× 51 0.5× 22 0.3× 45 916
Ingrid Zukerman Australia 18 309 0.7× 931 2.5× 93 0.7× 34 0.4× 14 0.2× 121 1.3k
André L. M. Santos Brazil 13 381 0.8× 209 0.6× 28 0.2× 43 0.4× 33 0.4× 74 752
Stefano Ferilli Italy 12 149 0.3× 289 0.8× 41 0.3× 18 0.2× 56 0.7× 98 511
Robert Laddaga United States 14 146 0.3× 259 0.7× 44 0.3× 26 0.3× 30 0.4× 46 508
Brian Amento United States 15 541 1.1× 319 0.8× 130 0.9× 88 0.9× 18 0.2× 24 1.0k

Countries citing papers authored by Peng Qian

Since Specialization
Citations

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

Fields of papers citing papers by Peng Qian

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Peng Qian

This figure shows the co-authorship network connecting the top 25 collaborators of Peng Qian. A scholar is included among the top collaborators of Peng Qian 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 Peng Qian. Peng Qian 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.
Fan, Qinghong, Mengling Jiang, Jun Dai, et al.. (2025). Modeling the pathogenic infection of mpox virus clade IIb in type I and II interferon pathway double deficient mice. 3(6). 297–300. 1 indexed citations
2.
Li, Yannan, et al.. (2025). Mecon: A GNN-based graph classification framework for MEV activity detection. Expert Systems with Applications. 269. 126486–126486.
3.
Qian, Peng, Rui Cao, Zhenguang Liu, et al.. (2025). Comprehensive review of smart contract and DeFi security: Attack, vulnerability detection, and automated repair. Expert Systems with Applications. 291. 128431–128431. 1 indexed citations
4.
5.
Qian, Peng, et al.. (2024). Detect Insider Threat with Associated Session Graph. Electronics. 13(24). 4885–4885. 1 indexed citations
6.
Qian, Peng, Zheng Cao, Lun Zhang, et al.. (2024). MuFuzz: Sequence-Aware Mutation and Seed Mask Guidance for Blockchain Smart Contract Fuzzing. 1972–1985. 4 indexed citations
7.
Qian, Peng, Toby Rockstroh, Carrie M. Hall, & Michael Pamminger. (2023). Zero Dimension Heat Release Modeling for Gasoline, Ethanol, Isobutanol and Diisobutylene Operating in Compression Ignition with Varying Injection Strategies. SAE International Journal of Advances and Current Practices in Mobility. 5(6). 2176–2192. 2 indexed citations
8.
Qian, Peng, et al.. (2023). Demystifying Random Number in Ethereum Smart Contract: Taxonomy, Vulnerability Identification, and Attack Detection. IEEE Transactions on Software Engineering. 49(7). 3793–3810. 17 indexed citations
9.
Huang, Zhengjie, et al.. (2023). Demystifying Bitcoin Address Behavior via Graph Neural Networks. 1747–1760. 4 indexed citations
10.
Zhang, Lin, et al.. (2023). Depth Image Hashing Algorithm Based on Local Global Feature Fusion. IEEE Access. 11. 123373–123381.
11.
Dou, Rongzhang, Lei Han, Chaogang Yang, et al.. (2023). Upregulation of LINC00501 by H3K27 acetylation facilitates gastric cancer metastasis through activating epithelial‐mesenchymal transition and angiogenesis. Clinical and Translational Medicine. 13(10). e1432–e1432. 12 indexed citations
12.
Wen, Zhenyu, Ye Yuan, Peng Qian, et al.. (2022). iQuery: A Trustworthy and Scalable Blockchain Analytics Platform. IEEE Transactions on Dependable and Secure Computing. 20(6). 4578–4592. 5 indexed citations
13.
Qian, Peng & Roger Lévy. (2022). Flexible Generation from Fragmentary Linguistic Input. Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers). 8176–8196. 1 indexed citations
14.
Mollica, Francis, Matthew Siegelman, Evgeniia Diachek, et al.. (2020). Composition is the Core Driver of the Language-selective Network. SHILAP Revista de lepidopterología. 1(1). 104–134. 61 indexed citations
15.
Wilcox, Ethan, Jon Gauthier, Jennifer Hu, Peng Qian, & Roger Lévy. (2020). On the Predictive Power of Neural Language Models for Human Real-Time Comprehension Behavior.. Cognitive Science. 1 indexed citations
16.
Hu, Jennifer, Jon Gauthier, Peng Qian, Ethan Wilcox, & Roger Lévy. (2020). A Systematic Assessment of Syntactic Generalization in Neural Language Models. DSpace@MIT (Massachusetts Institute of Technology). 18 indexed citations
17.
Qian, Peng, Zhenguang Liu, Qinming He, Roger Zimmermann, & Xun Wang. (2020). Towards Automated Reentrancy Detection for Smart Contracts Based on Sequential Models. IEEE Access. 8. 19685–19695. 132 indexed citations
18.
Qian, Peng, et al.. (2019). A comparison on sound quality of PLA 3-D printing ukulele and single board wooden ukulele. Proceedings of meetings on acoustics. 39. 35007–35007. 1 indexed citations
19.
Qian, Peng, Xipeng Qiu, & Xuanjing Huang. (2016). Bridging LSTM architecture and the neural dynamics during reading. arXiv (Cornell University). 1953–1959. 2 indexed citations
20.
Qian, Peng, Xipeng Qiu, & Xuanjing Huang. (2016). A New Psychometric-inspired Evaluation Metric for Chinese Word Segmentation. 2185–2194. 3 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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