Heng Yin

11.8k total citations · 4 hit papers
169 papers, 6.4k citations indexed

About

Heng Yin is a scholar working on Signal Processing, Artificial Intelligence and Information Systems. According to data from OpenAlex, Heng Yin has authored 169 papers receiving a total of 6.4k indexed citations (citations by other indexed papers that have themselves been cited), including 64 papers in Signal Processing, 50 papers in Artificial Intelligence and 42 papers in Information Systems. Recurrent topics in Heng Yin's work include Advanced Malware Detection Techniques (63 papers), Security and Verification in Computing (34 papers) and Software Testing and Debugging Techniques (25 papers). Heng Yin is often cited by papers focused on Advanced Malware Detection Techniques (63 papers), Security and Verification in Computing (34 papers) and Software Testing and Debugging Techniques (25 papers). Heng Yin collaborates with scholars based in China, United States and Singapore. Heng Yin's co-authors include Lok Kwong Yan, Ming Zhao, Mu Zhang, Dawn Song, Qianjin Lu, Yue Duan, Hai Long, Manuel Egele, Christopher Kruegel and Engin Kirda and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and Scientific Reports.

In The Last Decade

Heng Yin

158 papers receiving 6.2k citations

Hit Papers

Panorama 2007 2026 2013 2019 2007 2012 2014 2016 100 200 300 400

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Heng Yin China 42 3.0k 1.8k 1.7k 1.7k 1.4k 169 6.4k
Xavier Leroy France 45 260 0.1× 296 0.2× 437 0.3× 1.7k 1.0× 376 0.3× 297 8.4k
Christian Fritz United States 27 1.6k 0.5× 1.0k 0.6× 782 0.4× 844 0.5× 873 0.6× 72 4.4k
Jing Qiu China 33 374 0.1× 479 0.3× 784 0.5× 801 0.5× 33 0.0× 190 11.1k
Hans van Vliet Netherlands 51 32 0.0× 2.5k 1.4× 553 0.3× 1.4k 0.8× 501 0.4× 327 8.8k
Tatsuya Mori Japan 30 339 0.1× 464 0.3× 756 0.4× 475 0.3× 51 0.0× 222 2.6k
Jeffrey J. P. Tsai United States 31 132 0.0× 980 0.5× 1.1k 0.6× 877 0.5× 211 0.2× 203 3.0k
Jonathan Shapiro United States 23 310 0.1× 294 0.2× 530 0.3× 645 0.4× 26 0.0× 50 2.3k
Richard W. Selby United States 26 50 0.0× 2.3k 1.2× 486 0.3× 748 0.4× 1.5k 1.1× 78 4.2k
Mark Craven United States 37 259 0.1× 822 0.4× 217 0.1× 3.3k 1.9× 35 0.0× 106 6.0k
Mao Yang China 26 61 0.0× 348 0.2× 499 0.3× 295 0.2× 89 0.1× 90 3.3k

Countries citing papers authored by Heng Yin

Since Specialization
Citations

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

Fields of papers citing papers by Heng Yin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Heng Yin

This figure shows the co-authorship network connecting the top 25 collaborators of Heng Yin. A scholar is included among the top collaborators of Heng Yin 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 Heng Yin. Heng Yin 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
2.
Gao, Lian & Heng Yin. (2025). BinDSA: Efficient, Precise Binary-Level Pointer Analysis with Context-Sensitive Heap Reconstruction. Proceedings of the ACM on software engineering.. 2(ISSTA). 1190–1211.
3.
Tan, Chang Wei, Jiahao Meng, Baimei He, et al.. (2025). Effects of therapeutic interventions on long COVID: a meta-analysis of randomized controlled trials. EClinicalMedicine. 87. 103412–103412.
4.
Yin, Heng, Hui Chen, Wei Zhang, et al.. (2024). Image‐based remote evaluation of PASI scores with psoriasis by the YOLO‐v4 algorithm. Experimental Dermatology. 33(4). e15082–e15082. 5 indexed citations
5.
Yu, Sheng, Wei Song, Xunchao Hu, & Heng Yin. (2024). On the Correctness of Metadata-Based SBOM Generation: A Differential Analysis Approach. eScholarship (California Digital Library). 29–36. 4 indexed citations
6.
Wang, Yao, et al.. (2024). A Base Promoted [3+2] Cycloaddition of Benzothiazolium Salts with Isoindigos to Synthesis N, S‐polyheterocyclic 3, 3′ Bispirooxindoles. Asian Journal of Organic Chemistry. 14(1). 1 indexed citations
7.
Li, Tang, et al.. (2023). New insights into the substrate inhibition of human 17β-hydroxysteroid dehydrogenase type 1. The Journal of Steroid Biochemistry and Molecular Biology. 228. 106246–106246. 4 indexed citations
8.
Liang, Hualiang, Dongyu Huang, Mingchun Ren, et al.. (2023). The Role of Algae Extract (Ulva lactuca and Solieria chordalis) in Fishmeal Substitution in Gibel Carp (Carrassius auratus gibeilo). Veterinary Sciences. 10(8). 501–501. 3 indexed citations
9.
Coppa, Emilio, Heng Yin, & Camil Demetrescu. (2022). SymFusion: Hybrid Instrumentation for Concolic Execution. IRIS - Institutional Research Information System (Libera Università Internazionale degli Studi Sociali Guido Carli). 1–12. 5 indexed citations
10.
Zhao, Yiru, et al.. (2022). Alphuzz: Monte Carlo Search on Seed-Mutation Tree for Coverage-Guided Fuzzing. 534–547. 6 indexed citations
11.
Peng, Mei, Zheng Zhang, Chao He, et al.. (2022). Identification of differential metabolites using untargeted metabolomics between gestational diabetes and normal pregnant women. International Journal of Gynecology & Obstetrics. 159(3). 903–911. 1 indexed citations
12.
Song, Wei, et al.. (2020). Automatic Generation of Adversarial Examples for Interpreting Malware Classifiers.. arXiv (Cornell University). 12 indexed citations
13.
Qu, Yu, et al.. (2019). DECAF++: Elastic Whole-System Dynamic Taint Analysis.. 31–45. 9 indexed citations
14.
Duan, Yue, Lian Gao, Jie Hu, & Heng Yin. (2019). Automatic Generation of Non-intrusive Updates for Third-Party Libraries in Android Applications.. Singapore Management University Institutional Knowledge (InK) (Singapore Management University). 277–292. 1 indexed citations
15.
Zheng, Yaowen, et al.. (2019). FIRM-AFL: High-Throughput Greybox Fuzzing of IoT Firmware via Augmented Process Emulation. USENIX Security Symposium. 1099–1114. 88 indexed citations
16.
Wang, Jinghan, Yue Duan, Wei Song, Heng Yin, & Chengyu Song. (2019). Be Sensitive and Collaborative: Analyzing Impact of Coverage Metrics in Greybox Fuzzing.. Singapore Management University Institutional Knowledge (InK) (Singapore Management University). 1–15. 26 indexed citations
17.
Duan, Yue, Mu Zhang, Heng Yin, & Yuzhe Tang. (2015). Privacy-preserving offloading of mobile app to the public cloud. Singapore Management University Institutional Knowledge (InK) (Singapore Management University). 18–18. 4 indexed citations
18.
Aafer, Yousra, Wenliang Du, & Heng Yin. (2014). DroidAPIMiner: Mining API-Level Features for Robust Malware Detection in Android. 33 indexed citations
19.
Zhang, Mu & Heng Yin. (2013). TransBlocker: Transforming and Taming Privacy-Breaching Android Applications.. Network and Distributed System Security Symposium. 1 indexed citations
20.
Zhang, Mingwei, Aravind Prakash, Xiaolei Li, Zhenkai Liang, & Heng Yin. (2012). Identifying and Analyzing Pointer Misuses for Sophisticated Memory-corruption Exploit Diagnosis. Syracuse University Libraries (Syracuse University). 16 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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