Software & Coding

47 cases, highest importance first. Mean importance 4.8. Combined citations 332,764.

Industries software engineering 6 software testing 4 computer vision 2 software security 2 database systems 2 speech recognition 2 compiler software 2 software infrastructure 1 mobile security 1 cybersecurity 1 machine learning / AutoML 1 microscopy/bioimaging 1

#	Paper	Year	Citations	Importance
1	Faster sorting algorithms discovered using deep reinforcement learning Daniel J. Mankowitz, Andrea Michi, Anton Zhernov, Marco Gelmi, Marco S...	2023	175	8
2	ImageNet classification with deep convolutional neural networks Alex Krizhevsky, Ilya Sutskever, Geoffrey E. Hinton	2017	106,345	8
3	Deep Residual Learning for Image Recognition Kaiming He, Xiangyu Zhang, Shaoqing Ren, Jian Sun	2016	221,134	8
4	Deep Learning-Based Attack Detection and Classification in Android Devices Alfonso Gómez, Antonio Muñoz	2023	41	7
5	A deep learning‐based approach for software vulnerability detection using code metrics Fazli Subhan, Xiaoxue Wu, Lili Bo, Xiaobing Sun, Muhammad Rahman	2022	42	7
6	Challenges in Testing Large Language Model-Based Software: A Faceted Taxonomy Felix Dobslaw, ROBERT H. FELDT, Juyeon Yoon, Shin Yoo	2026	4	6
7	Naive automated machine learning Felix Mohr, Marcel Wever	2022	24	6
8	HGVul: A Code Vulnerability Detection Method Based on Heterogeneous Source-Level Intermediate Representation Zihua Song, Junfeng Wang, Shengli Liu, Zhiyang Fang, Kaiyuan Yang	2022	11	6
9	Democratising deep learning for microscopy with ZeroCostDL4Mic Lucas von Chamier, Romain F. Laine, Johanna Jukkala, Christoph K. Spah...	2021	524	6
10	ICPFuzzer: proprietary communication protocol fuzzing by using machine learning and feedback strategies Pei-Yi Lin, Chia‐Wei Tien, Ting‐Chun Huang, Chin‐Wei Tien	2021	14	6
11	An Automatic Source Code Vulnerability Detection Approach Based on KELM Gaigai Tang, Lin Yang, Shuangyin Ren, Lianxiao Meng, Feng Yang, Huiqia...	2021	12	6
12	Dota 2 with Large Scale Deep Reinforcement Learning OpenAI, :, Christopher Berner, Greg Brockman, Brooke Chan, Vicki Cheun...	2019	969	6
13	Mastering Chess and Shogi by Self-Play with a General Reinforcement Learning Algorithm David Silver, Thomas Hubert, Julian Schrittwieser, Ioannis Antonoglou,...	2017	1,024	6
14	A bilingual benchmark for evaluating large language models Mohamed Alkaoud	2024	11	5
15	Image Denoising: The Deep Learning Revolution and Beyond—A Survey Paper Michael Elad, Bahjat Kawar, Gregory Vaksman	2023	151	5
16	A Survey of Learning-based Automated Program Repair Quanjun Zhang, Chunrong Fang, Yuxiang Ma, Weisong Sun, Zhenyu Chen	2023	132	5
17	A Smart Contract Vulnerability Detection Method Based on Multimodal Feature Fusion and Deep Learning Jinggang Li, Gehao Lu, Yulian Gao, Feng Gao	2023	29	5
18	The integration of machine learning into automated test generation: A systematic mapping study Afonso Fontes, Gregory Gay	2023	24	5
19	Competition-level code generation with AlphaCode Yujia Li, David Choi, Junyoung Chung, Nate Kushman, Julian Schrittwies...	2022	1,010	5
20	PyTorch Connectomics: A Scalable and Flexible Segmentation Framework for EM Connectomics Zudi Lin, Donglai Wei, Jeff William Lichtman, Hanspeter Pfister	2021	25	5
21	QTune Guoliang Li, Xuanhe Zhou, Shifu Li, Gao Bo	2019	257	5
22	COBAYN Amir Hossein Ashouri, Giovanni Mariani, Gianluca Palermo, Eun Jung Par...	2016	92	5
23	A Review of Large Language Models for Automated Test Case Generation Arda Celik, Qusay H. Mahmoud	2025	29	4
24	<scp>GeoAnalystBench</scp> : A <scp>GeoAI</scp> Benchmark for Assessing Large Language Models for Spatial Analysis Workflow and Code Generation Qianheng Zhang, Song Gao, Wei Chen, Yibo Zhao, Ying Nie, Ziru Chen, Sh...	2025	16	4
25	Usage of Large Language Model for Code Generation Tasks: A Review Stefano Bistarelli, Marco Fiore, Ivan Mercanti, Marina Mongiello	2025	15	4
26	COFFE: A Code Efficiency Benchmark for Code Generation Yun Peng, Jun Wan, Yichen Li, Xiaoxue Ren	2025	14	4
27	Enriching automatic test case generation by extracting relevant test inputs from bug reports Wendkûuni C. Ouédraogo, Laura Plein, Kader Kaboré, Andrew Habib, Jacqu...	2025	16	4
28	Reinforcement learning for mutation operator selection in automated program repair Carol Hanna, Aymeric Blot, Justyna Petke	2025	9	4
29	A Probabilistic Approach to Load Balancing in Multi-Cloud Environments via Machine Learning and Optimization Algorithms Seyed Salar Sefati, Ahmed M. Nor, Bahman Arasteh, Răzvan Crăciunescu,...	2025	26	4
30	BioCoder: a benchmark for bioinformatics code generation with large language models Xiangru Tang, Bill Qian, Rick Gao, Jiakang Chen, Xinyun Chen, Mark Ger...	2024	30	4
31	SimLLM: Calculating Semantic Similarity in Code Summaries using a Large Language Model-Based Approach Xin Jin, Zhiqiang Lin	2024	11	4
32	Controllable Music Playlist Generation Based on Knowledge Graph and Reinforcement Learning Keigo Sakurai, Ren Togo, Takahiro Ogawa, Miki Haseyama	2022	12	4
33	Ontology Completion with Graph-Based Machine Learning: A Comprehensive Evaluation Sebastian Mežnar, Matej Bevec, Nada Lavrač, Blaž Škrlj	2022	10	4
34	Utterance Level Feature Aggregation with Deep Metric Learning for Speech Emotion Recognition Bogdan Mocanu, Ruxandra Țapu, Titus B. Zaharia	2021	23	4
35	Leveraging query logs and machine learning for parametric query optimization Kapil Vaidya, Anshuman Dutt, Vivek R. Narasayya, Surajit Chaudhuri	2021	20	4
36	Topology-Preserving Deep Image Segmentation Hu, Xiaoling, Fuxin Li, Dimitris Samaras, Chao Chen	2019	114	4
37	Lithuanian Speech Recognition Using Purely Phonetic Deep Learning Laurynas Pipiras, Rytis Maskeliūnas, Robertas Damaševičius	2019	12	4
38	On Efficiency of Selected Machine Learning Algorithms for Intrusion Detection in Software Defined Networks Damian Jankowski, Marek Amanowicz	2016	50	4
39	Clustering-Based Selection for the Exploration of Compiler Optimization Sequences Luiz G. A. Martins, Ricardo Nobre, João M. P. Cardoso, Alexandre C. B....	2016	70	4
40	Automatic feature generation for machine learning--based optimising compilation Hugh Leather, Edwin V. Bonilla, Michael O’Boyle	2014	31	4
41	Continuous learning of compiler heuristics Michele Tartara, Stefano Crespi Reghizzi	2013	37	4
42	Using machine learning to partition streaming programs Zheng Wang, Michael O’Boyle	2013	46	4
43	Only diff Is Not Enough: Generating Commit Messages Leveraging Reasoning and Action of Large Language Model Jiawei Li, David Faragó, Christian Petrov, Iftekhar Ahmed	2024	21	3
44	Improving Web Element Localization by Using a Large Language Model Michel Nass, Emil Alégroth, ROBERT H. FELDT	2024	16	3
45	Coordination Between Individual Agents in Multi-Agent Reinforcement Learning Yang Zhang, Qingyu Yang, Dou An, Chengwei Zhang	2021	20	3
46	Improving coordination in small-scale multi-agent deep reinforcement learning through memory-driven communication Emanuele Pesce, Giovanni Montana	2020	49	3
47	Speech Emotion Recognition Using Deep Learning LSTM for Tamil Language Bennilo Fernandes, Kasiprasad Mannepalli	2021	17	2

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