Ning Xu

2.5k citations

79 papers · 1.7k indexed · 1 hit paper · h-index 22

Impact in

Computer Vision and Pattern Recognition top 2%
- Image Retrieval and Classification Techniques
- Face and Expression Recognition
Artificial Intelligence top 1%
- Text and Document Classification Technologies
- AI in cancer detection
- Machine Learning and Data Classification

Papers in ⓘ

Artificial Intelligence 35
- Text and Document Classification Technologies 20
- Machine Learning and Data Classification 7
- Domain Adaptation and Few-Shot Learning 5
Computer Vision and Pattern Recognition 21
- Advanced Neural Network Applications 4

Co-authors: Xin Geng (25 shared papers)Xiaodong Xu (6 shared papers)Tianzhen Hong (4 shared papers)Wei Wang (4 shared papers)Jiaqi Lv (3 shared papers)Chen Li (6 shared papers)Bin Zhu (2 shared papers)Jeff Yan (2 shared papers)
Journals: Sustainability (4 papers)IEEE Transactions on Knowledge and Data Engineering (4 papers)IEEE Access (3 papers)IEEE Transactions on Neural Networks and Learning Systems (3 papers)Pattern Recognition (3 papers)
Partner nations: China United States Germany

In The Last Decade

Ning Xu

73 papers receiving 1.6k citations

Hit Papers

align trajectories log scale

CVM-Cervix: A hybrid cervical Pap-smear image classification framework using CNN, visual transformer and multilayer perceptron 2022 · 131 citations

Peers

Countries citing papers authored by Ning Xu

Since Specialization

Citations

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

Fields of papers citing papers by Ning Xu

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Ning Xu, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Ning Xu Line = papers co-authored together Ning Xu links everyone, so they are left out of the graph.

All Works

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

20 of 20 papers shown

Showing the 20 most-cited of 79 papers — load more, or switch the sort, to bring in the rest.

#	Work
1	Label Enhancement for Label Distribution Learning IEEE Transactions on Knowledge and Data Engineering ·Ning Xu, Yunpeng Liu, Xin Geng	2019	138
2	CVM-Cervix: A hybrid cervical Pap-smear image classification framework using CNN, visual transformer and multilayer perceptron Pattern Recognition ·Wanli Liu, Chen Li, Ning Xu, Tao Jiang, Md Mamunur Rahaman, Hongzan Sun, Xiangchen Wu, Weiming Hu, Haoyuan Chen, Changhao Sun, Yudong Yao, Marcin Grzegorzek Hit paper breakdown →	2022	131
3	TVT: Transferable Vision Transformer for Unsupervised Domain Adaptation 2023 IEEE/CVF Winter Conference on Applications of Computer Vision (WACV) ·Jinyu Yang, Jingjing Liu, Ning Xu, Junzhou Huang	2023	87
4	Attacks and design of image recognition CAPTCHAs ePrints Soton (University of Southampton) ·Bin Zhu, Jeff Yan, Qiujie Li, Chao Yang, Jia Liu, Ning Xu, Meng Yi, Kaiwei Cai	2010	85
5	Forecasting district-scale energy dynamics through integrating building network and long short-term memory learning algorithm Applied Energy ·Wei Wang, Tianzhen Hong, Xiaodong Xu, Jiayu Chen, Ziang Liu, Ning Xu	2019	73
6	Partial Label Learning via Label Enhancement Proceedings of the AAAI Conference on Artificial Intelligence ·Ning Xu, Jiaqi Lv, Xin Geng	2019	67
7	Short-Term Forecasting for Energy Consumption through Stacking Heterogeneous Ensemble Learning Model Energies ·Mergani A. Khairalla, Ning Xu, Nashat T. AL-Jallad, Musaab O. El-Faroug	2018	65
8	Captcha as Graphical Passwords—A New Security Primitive Based on Hard AI Problems IEEE Transactions on Information Forensics and Security ·Bin Zhu, Jeff Yan, Guanbo Bao, Maowei Yang, Ning Xu	2014	64
9	A review for cervical histopathology image analysis using machine vision approaches Artificial Intelligence Review ·Chen Li, Hao Chen, Xiaoyan Li, Ning Xu, Zhijie Hu, Dan Xue, Shouliang Qi, He Ma, Le Zhang, Hongzan Sun	2020	59
10	Revealing Urban Morphology and Outdoor Comfort through Genetic Algorithm-Driven Urban Block Design in Dry and Hot Regions of China Sustainability ·Xiaodong Xu, Chenhuan Yin, Wei Wang, Ning Xu, Tianzhen Hong, Qi Li	2019	58
11	Partial Multi-Label Learning with Label Distribution Proceedings of the AAAI Conference on Artificial Intelligence ·Ning Xu, Yunpeng Liu, Xin Geng	2020	56
12	Label Enhancement for Label Distribution Learning Ning Xu, Tao An, Xin Geng	2018	55
13	A State-of-the-Art Survey for Microorganism Image Segmentation Methods and Future Potential IEEE Access ·Frank Kulwa, Chen Li, Xin Zhao, Bencheng Cai, Ning Xu, Shouliang Qi, Shuo Chen, Yueyang Teng	2019	47
14	Performance-driven optimization of urban open space configuration in the cold-winter and hot-summer region of China Building Simulation ·Xiaodong Xu, Yifan Wu, Wei Wang, Tianzhen Hong, Ning Xu	2019	46
15	The Cause and Evolution of Urban Street Vitality under the Time Dimension: Nine Cases of Streets in Nanjing City, China Sustainability ·Xiaodong Xu, Xinhan Xu, Xinhan Xu, Peng Guan, Yu Ren, Wei Wang, Ning Xu	2018	44
16	Leveraging spatial-temporal convolutional features for EEG-based emotion recognition Biomedical Signal Processing and Control ·Yi An, Ning Xu, Zhen Qu	2021	39
17	Attention Based CLDNNs for Short-Duration Acoustic Scene Classification Jinxi Guo, Ning Xu, Li-Jia Li, Abeer Alwan	2017	39
18	Cervical Histopathology Image Classification Using Multilayer Hidden Conditional Random Fields and Weakly Supervised Learning IEEE Access ·Chen Li, Hao Chen, Le Zhang, Ning Xu, Dan Xue, Zhijie Hu, He Ma, Hongzan Sun	2019	35
19	Urban Layout Optimization Based on Genetic Algorithm for Microclimate Performance in the Cold Region of China Applied Sciences ·Xiaodong Xu, Yupeng Liu, Wei Wang, Ning Xu, Ke Liu, Gang Yu	2019	31
20	Multi-label Learning with Label Enhancement Ruifeng Shao, Ning Xu, Xin Geng	2018	29

About Ning Xu

Ning Xu is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition, Signal Processing, Building and Construction and Electrical and Electronic Engineering, having authored 79 papers that have together received 1.7k indexed citations. Recurring topics across this work include Text and Document Classification Technologies (20 papers), Machine Learning and Data Classification (7 papers), Music and Audio Processing (6 papers), Building Energy and Comfort Optimization (5 papers), Domain Adaptation and Few-Shot Learning (5 papers), Urban Green Space and Health (4 papers), Advanced Neural Network Applications (4 papers) and Machine Learning in Bioinformatics (4 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (549 citations), Artificial Intelligence (841 citations), Signal Processing (259 citations), Building and Construction (215 citations) and Environmental Engineering (153 citations). Ning Xu has collaborated with scholars based in China, United States and Germany. Frequent co-authors include Xin Geng, Xiaodong Xu, Tianzhen Hong, Wei Wang, Jiaqi Lv, Chen Li, Bin Zhu, Jeff Yan, Junzhou Huang and Jingjing Liu. Their work appears in journals such as Sustainability, IEEE Transactions on Knowledge and Data Engineering, IEEE Access, IEEE Transactions on Neural Networks and Learning Systems and Pattern Recognition.

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.

Explore authors with similar magnitude of impact