Qiang Hu

2.1k total citations
52 papers, 556 citations indexed

About

Qiang Hu is a scholar working on Artificial Intelligence, Information Systems and Software. According to data from OpenAlex, Qiang Hu has authored 52 papers receiving a total of 556 indexed citations (citations by other indexed papers that have themselves been cited), including 22 papers in Artificial Intelligence, 16 papers in Information Systems and 14 papers in Software. Recurrent topics in Qiang Hu's work include Software Engineering Research (15 papers), Adversarial Robustness in Machine Learning (14 papers) and Software Testing and Debugging Techniques (12 papers). Qiang Hu is often cited by papers focused on Software Engineering Research (15 papers), Adversarial Robustness in Machine Learning (14 papers) and Software Testing and Debugging Techniques (12 papers). Qiang Hu collaborates with scholars based in China, Luxembourg and Singapore. Qiang Hu's co-authors include Xiaofei Xie, Lei Ma, Jianjun Zhao, Yang Liu, Yves Le Traon, Maxime Cordy, Mike Papadakis, Bing Yu, Hexuan Hu and Ye Zhang and has published in prestigious journals such as IEEE Transactions on Image Processing, Expert Systems with Applications and Sensors.

In The Last Decade

Qiang Hu

45 papers receiving 543 citations

Peers

Countries citing papers authored by Qiang Hu

Since Specialization

Citations

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

Fields of papers citing papers by Qiang Hu

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Qiang Hu

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

All Works

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20 of 20 papers shown

#	Work	Indexed citations
1	Assessing the Robustness of Test Selection Methods for Deep Neural Networks 2025 ·ACM Transactions on Software Engineering and Methodology ·Qiang Hu, (unknown), Xiaofei Xie, Maxime Cordy, (unknown), Mike Papadakis, Lei Ma, Yves Le Traon	0
2	Boosting source code learning with text-oriented data augmentation: an empirical study 2025 ·Empirical Software Engineering ·(unknown), Qiang Hu, (unknown), Zhenya Zhang, Maxime Cordy, Mike Papadakis, Yves Le Traon, Jianjun Zhao	1
3	Variable Renaming-Based Adversarial Test Generation for Code Model: Benchmark and Enhancement 2025 ·ACM Transactions on Software Engineering and Methodology ·Wen Jin, Qiang Hu, (unknown), Maxime Cordy, Yves Le Traon	0
4	Multi-Source Spatio-Temporal Data Fusion Path Estimation Method 2025 ·Electronics ·Qiang Hu, G. X. Sun, (unknown)	1
5	GCS-YOLO: A Lightweight Detection Algorithm for Grape Leaf Diseases Based on Improved YOLOv8 2025 ·Applied Sciences ·Qiang Hu, (unknown)	1
6	A neighborhood rough sets-based ensemble method, with application to software fault prediction 2024 ·Expert Systems with Applications ·(unknown), Qiang Hu, Zhiyong Yang, (unknown), (unknown)	4
7	Unveiling Code Pre-Trained Models: Investigating Syntax and Semantics Capacities 2024 ·ACM Transactions on Software Engineering and Methodology ·(unknown), Shangqing Liu, Mengjie Zhao, Xiaofei Xie, (unknown), Qiang Hu, (unknown), Yang Liu	11
8	Towards Exploring the Limitations of Test Selection Techniques on Graph Neural Networks: An Empirical Study 2024 ·Empirical Software Engineering ·(unknown), Yinghua Li, Wei Ma, (unknown), Qiang Hu, Mike Papadakis, Maxime Cordy, Yves Le Traon	4
9	On the effectiveness of hybrid pooling in mixup-based graph learning for language processing 2024 ·Journal of Systems and Software ·(unknown), Qiang Hu, Zhenya Zhang, (unknown), Maxime Cordy, Mike Papadakis, Yves Le Traon, Jianjun Zhao	4
10	Active Code Learning: Benchmarking Sample-Efficient Training of Code Models 2024 ·IEEE Transactions on Software Engineering ·Qiang Hu, (unknown), Xiaofei Xie, Maxime Cordy, Lei Ma, Mike Papadakis, Yves Le Traon	4
11	Free‐ranging livestock affected the spatiotemporal behavior of the endangered snow leopard (Panthera uncia) 2023 ·Ecology and Evolution ·Jiaxin Li, Xiaogang Shi, (unknown), (unknown), Qiang Hu, Yanni Zhang, Jianghong Ran	9
12	A Black-Box Attack on Code Models via Representation Nearest Neighbor Search 2023 ·(unknown), (unknown), Qiang Hu, (unknown), Xiaofei Xie, Yves Le Traon, Yang Liu	2
13	Federated learning enabled graph convolutional autoencoder and factorization machine for potential friendship prediction in social networks 2023 ·Information Fusion ·Hexuan Hu, (unknown), Qiang Hu, Ye Zhang	11
14	On the effectiveness of graph data augmentation for source code learning 2023 ·Knowledge-Based Systems ·(unknown), Qiang Hu, Zhenya Zhang, Jianjun Zhao	6
15	Aries: Efficient Testing of Deep Neural Networks via Labeling-Free Accuracy Estimation 2023 ·Open Repository and Bibliography (University of Luxembourg) ·Qiang Hu, (unknown), Xiaofei Xie, Maxime Cordy, Mike Papadakis, Lei Ma, Yves Le Traon	10
16	An Empirical Study on Data Distribution-Aware Test Selection for Deep Learning Enhancement 2022 ·ACM Transactions on Software Engineering and Methodology ·Qiang Hu, (unknown), Maxime Cordy, Xiaofei Xie, Lei Ma, Mike Papadakis, Yves Le Traon	31
17	Multiple Kernel Learning with Maximum Inundation Extent from MODIS Imagery for Spatial Prediction of Flood Susceptibility 2021 ·Water Resources Management ·Qiang Hu, Yuelong Zhu, Hexuan Hu, (unknown), (unknown), (unknown)	6
18	DeepMutation++: A Mutation Testing Framework for Deep Learning Systems 2019 ·Qiang Hu, Lei Ma, Xiaofei Xie, Bing Yu, Yang Liu, Jianjun Zhao	76
19	An Empirical Study Towards Characterizing Deep Learning Development and Deployment Across Different Frameworks and Platforms 2019 ·(unknown), Sen Chen, Xiaofei Xie, Lei Ma, Qiang Hu, Hongtao Liu, Yang Liu, Jianjun Zhao, Xiaohong Li	93
20	Research on The Preliminary Design of 3D Virtual Tour Based on The VRML Technology 2013 ·Journal of Convergence Information Technology ·Qiang Hu	3

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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