Sen Nie

491 total citations
18 papers, 293 citations indexed

About

Sen Nie is a scholar working on Information Systems, Signal Processing and Artificial Intelligence. According to data from OpenAlex, Sen Nie has authored 18 papers receiving a total of 293 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Information Systems, 8 papers in Signal Processing and 8 papers in Artificial Intelligence. Recurrent topics in Sen Nie's work include Software Engineering Research (10 papers), Advanced Malware Detection Techniques (8 papers) and Software Testing and Debugging Techniques (5 papers). Sen Nie is often cited by papers focused on Software Engineering Research (10 papers), Advanced Malware Detection Techniques (8 papers) and Software Testing and Debugging Techniques (5 papers). Sen Nie collaborates with scholars based in China, Hong Kong and Australia. Sen Nie's co-authors include Shi Wu, Qiyi Tang, Rui Cao, Junzhou Huang, Pingchuan Ma, Jiaqi Wang, Shuai Wang, Wenxin Zheng, Yuqun Zhang and Ling Jiang and has published in prestigious journals such as IEEE Transactions on Software Engineering, Journal of Food Science and Measurement.

In The Last Decade

Sen Nie

15 papers receiving 284 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Sen Nie China	10	189	162	121	100	68	18	293
Qiyi Tang China	9	182 1.0×	153 0.9×	108 0.9×	100 1.0×	65 1.0×	14	265
Nimrod Partush Israel	10	269 1.4×	273 1.7×	202 1.7×	151 1.5×	78 1.1×	12	389
Ryan Whelan United States	4	123 0.7×	176 1.1×	180 1.5×	95 0.9×	72 1.1×	5	295
Jared D. DeMott United States	5	102 0.5×	124 0.8×	152 1.3×	76 0.8×	48 0.7×	8	246
Luca Gazzola Italy	5	223 1.2×	60 0.4×	298 2.5×	70 0.7×	92 1.4×	10	376
Nadia Alshahwan United Kingdom	10	316 1.7×	71 0.4×	350 2.9×	82 0.8×	101 1.5×	20	444
Jean-Yves Marion France	9	111 0.6×	167 1.0×	75 0.6×	100 1.0×	99 1.5×	20	232
Dongdong She United States	7	110 0.6×	155 1.0×	138 1.1×	86 0.9×	49 0.7×	13	241
Jibesh Patra Germany	7	261 1.4×	92 0.6×	252 2.1×	88 0.9×	54 0.8×	7	344

Countries citing papers authored by Sen Nie

Since Specialization

Citations

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

Fields of papers citing papers by Sen Nie

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Sen Nie

This figure shows the co-authorship network connecting the top 25 collaborators of Sen Nie. A scholar is included among the top collaborators of Sen Nie 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 Sen Nie. Sen Nie is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

Sort: Min cites: Since: Top N: Style:

18 of 18 papers shown

Liu, Zhijie, Qiyi Tang, Sen Nie, et al.. (2025). KEENHash: Hashing Programs into Function-Aware Embeddings for Large-Scale Binary Code Similarity Analysis. Proceedings of the ACM on software engineering.. 2(ISSTA). 801–824.

Wang, Shuai, et al.. (2025). Preserving Privacy in Software Composition Analysis: A Study of Technical Solutions and Enhancements. Rare & Special e-Zone (The Hong Kong University of Science and Technology). 2329–2341. 1 indexed citations

Wu, Daoyuan, Zongjie Li, Shuai Wang, et al.. (2025). DecLLM: LLM-Augmented Recompilable Decompilation for Enabling Programmatic Use of Decompiled Code. Proceedings of the ACM on software engineering.. 2(ISSTA). 1841–1864.

Liu, Zhibo, Shuai Wang, Ying Wang, et al.. (2024). Are We There Yet? Filling the Gap Between Binary Similarity Analysis and Binary Software Composition Analysis. Rare & Special e-Zone (The Hong Kong University of Science and Technology). 506–523. 2 indexed citations

Liu, Zhijie, et al.. (2024). Detecting Malicious Accounts in Web3 through Transaction Graph. 2482–2483.

Jiang, Ling, et al.. (2024). BinaryAI: Binary Software Composition Analysis via Intelligent Binary Source Code Matching. 1–13. 10 indexed citations

Li, Yongyu, et al.. (2024). Fusion of visible and fluorescence imaging through deep neural network for color value prediction of pelletized red peppers. Journal of Food Science. 89(11). 7410–7421. 1 indexed citations

Jiang, Ling, et al.. (2023). Third-Party Library Dependency for Large-Scale SCA in the C/C++ Ecosystem: How Far Are We?. 1383–1395. 12 indexed citations

Ma, Pingchuan, et al.. (2022). sem2vec : Semantics-aware Assembly Tracelet Embedding. ACM Transactions on Software Engineering and Methodology. 32(4). 1–34. 11 indexed citations

10.

Ma, Pingchuan, Shuai Wang, Mingyue Jiang, et al.. (2022). Deceiving Deep Neural Networks-Based Binary Code Matching with Adversarial Programs. Rare & Special e-Zone (The Hong Kong University of Science and Technology). 117–128. 1 indexed citations

11.

Jiang, Ling, Yuqun Zhang, Guowei Yang, et al.. (2022). Evaluating and improving neural program-smoothing-based fuzzing. 847–858. 15 indexed citations

12.

Li, Zongjie, Pingchuan Ma, Shuai Wang, et al.. (2022). Unleashing the power of compiler intermediate representation to enhance neural program embeddings. Rare & Special e-Zone (The Hong Kong University of Science and Technology). 2253–2265. 16 indexed citations

13.

Fan, Ming, Wuxia Jin, Qiyi Tang, et al.. (2022). 1-to-1 or 1-to-n? Investigating the Effect of Function Inlining on Binary Similarity Analysis. ACM Transactions on Software Engineering and Methodology. 32(4). 1–26. 12 indexed citations

14.

Ma, Pingchuan, Yuanyuan Yuan, Shuai Wang, et al.. (2022). Enhancing DNN-Based Binary Code Function Search With Low-Cost Equivalence Checking. IEEE Transactions on Software Engineering. 49(1). 226–250. 13 indexed citations

15.

Li, Yongyu, et al.. (2022). An intelligent and vision-based system for Baijiu brewing-sorghum discrimination. Measurement. 198. 111417–111417. 12 indexed citations

16.

Jing, Pengfei, Qiyi Tang, Yuefeng Du, et al.. (2021). Too good to be safe: Tricking lane detection in autonomous driving with crafted perturbations. USENIX Security Symposium. 3237–3254. 8 indexed citations

17.

Zheng, Wenxin, et al.. (2020). CodeCMR: Cross-Modal Retrieval For Function-Level Binary Source Code Matching. Neural Information Processing Systems. 33. 3872–3883. 38 indexed citations

18.

Cao, Rui, et al.. (2020). Order Matters: Semantic-Aware Neural Networks for Binary Code Similarity Detection. Proceedings of the AAAI Conference on Artificial Intelligence. 34(1). 1145–1152. 141 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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