Qiufeng Wang

524 total citations
13 papers, 300 citations indexed

About

Qiufeng Wang is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, Qiufeng Wang has authored 13 papers receiving a total of 300 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Artificial Intelligence, 7 papers in Computer Vision and Pattern Recognition and 3 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Qiufeng Wang's work include Domain Adaptation and Few-Shot Learning (7 papers), Topic Modeling (3 papers) and COVID-19 diagnosis using AI (3 papers). Qiufeng Wang is often cited by papers focused on Domain Adaptation and Few-Shot Learning (7 papers), Topic Modeling (3 papers) and COVID-19 diagnosis using AI (3 papers). Qiufeng Wang collaborates with scholars based in China, United Kingdom and Australia. Qiufeng Wang's co-authors include Fei Yin, Kaizhu Huang, Erik Cambria, Amir Hussain, Cheng‐Lin Liu, Shufei Zhang, Zhiqiang Gao, Jie Sun, Xi Yang and Kai Yao and has published in prestigious journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, Pattern Recognition and Cognitive Computation.

In The Last Decade

Qiufeng Wang

12 papers receiving 287 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Qiufeng Wang China	6	194	186	36	28	14	13	300
Zhimao Peng China	3	242 1.2×	203 1.1×	32 0.9×	36 1.3×	6 0.4×	5	343
Muhammad Uzair Khattak United Arab Emirates	5	298 1.5×	287 1.5×	17 0.5×	30 1.1×	9 0.6×	10	468
Vincent Perot United States	3	186 1.0×	260 1.4×	16 0.4×	31 1.1×	4 0.3×	3	335
Nan Song China	5	114 0.6×	182 1.0×	14 0.4×	29 1.0×	9 0.6×	15	263
Ruoxi Sun China	5	198 1.0×	271 1.5×	16 0.4×	31 1.1×	4 0.3×	8	363
Thalaiyasingam Ajanthan Australia	7	239 1.2×	226 1.2×	15 0.4×	21 0.8×	3 0.2×	19	333
Qiushan Guo China	5	182 0.9×	148 0.8×	14 0.4×	14 0.5×	4 0.3×	9	282
Nandita M. Nayak United States	8	236 1.2×	214 1.2×	10 0.3×	36 1.3×	5 0.4×	15	295
Sadegh Fadaei Iran	9	175 0.9×	80 0.4×	56 1.6×	16 0.6×	4 0.3×	22	286

Countries citing papers authored by Qiufeng Wang

Since Specialization

Citations

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

Fields of papers citing papers by Qiufeng Wang

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Qiufeng Wang

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

All Works

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13 of 13 papers shown

Zhang, Rui, et al.. (2025). BFANet: Revisiting 3D Semantic Segmentation with Boundary Feature Analysis. 29395–29405. 1 indexed citations

Ye, Zhipeng, Feng Jiang, Qiufeng Wang, Kaizhu Huang, & J. S. Huang. (2025). IDEA: Image description enhanced CLIP-adapter for image classification. Pattern Recognition. 171. 112224–112224. 2 indexed citations

Yang, Guanyu, et al.. (2025). Covariance-Based Space Regularization for Few-Shot Class Incremental Learning. 9566–9576. 2 indexed citations

Zhou, Zihao, et al.. (2025). GNS: Solving Plane Geometry Problems by Neural-Symbolic Reasoning with Multi-Modal LLMs. Proceedings of the AAAI Conference on Artificial Intelligence. 39(23). 24957–24965.

Zhou, Zihao, et al.. (2023). Learning by Analogy: Diverse Questions Generation in Math Word Problem. 11091–11104. 10 indexed citations

Sun, Mingjie, et al.. (2023). Prototype Guided Pseudo Labeling and Perturbation-based Active Learning for domain adaptive semantic segmentation. Pattern Recognition. 148. 110203–110203. 5 indexed citations

Yao, Kai, et al.. (2023). Rethinking Data Augmentation for Single-Source Domain Generalization in Medical Image Segmentation. Proceedings of the AAAI Conference on Artificial Intelligence. 37(2). 2366–2374. 36 indexed citations

Zhang, Shufei, et al.. (2022). Certifying Better Robust Generalization for Unsupervised Domain Adaptation. Proceedings of the 30th ACM International Conference on Multimedia. 2399–2410. 2 indexed citations

Wang, Qiufeng, et al.. (2022). Learngene: From Open-World to Your Learning Task. Proceedings of the AAAI Conference on Artificial Intelligence. 36(8). 8557–8565. 6 indexed citations

10.

Yuan, Wei, Hongzhi Yin, Tieke He, et al.. (2022). Unified Question Generation with Continual Lifelong Learning. Proceedings of the ACM Web Conference 2022. 871–881. 5 indexed citations

11.

Gao, Zhiqiang, et al.. (2021). Gradient Distribution Alignment Certificates Better Adversarial Domain Adaptation. 2021 IEEE/CVF International Conference on Computer Vision (ICCV). 8917–8926. 48 indexed citations

12.

Wang, Qiufeng, Erik Cambria, Cheng‐Lin Liu, & Amir Hussain. (2012). Common Sense Knowledge for Handwritten Chinese Text Recognition. Cognitive Computation. 5(2). 234–242. 56 indexed citations

13.

Wang, Qiufeng, et al.. (2011). Handwritten Chinese Text Recognition by Integrating Multiple Contexts. IEEE Transactions on Pattern Analysis and Machine Intelligence. 34(8). 1469–1481. 127 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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