Ning Xu

2.5k total citations · 1 hit paper
79 papers, 1.7k citations indexed

About

Ning Xu is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Signal Processing. According to data from OpenAlex, Ning Xu has authored 79 papers receiving a total of 1.7k indexed citations (citations by other indexed papers that have themselves been cited), including 35 papers in Artificial Intelligence, 21 papers in Computer Vision and Pattern Recognition and 12 papers in Signal Processing. Recurrent topics in Ning Xu's work include Text and Document Classification Technologies (20 papers), Machine Learning and Data Classification (7 papers) and Music and Audio Processing (6 papers). Ning Xu is often cited by papers focused on Text and Document Classification Technologies (20 papers), Machine Learning and Data Classification (7 papers) and Music and Audio Processing (6 papers). Ning Xu collaborates with scholars based in China, United States and Germany. Ning Xu's co-authors include Xin Geng, Xiaodong Xu, Tianzhen Hong, Wei Wang, Jiaqi Lv, Chen Li, Bin Zhu, Jeff Yan, Jingjing Liu and Junzhou Huang and has published in prestigious journals such as SHILAP Revista de lepidopterología, IEEE Transactions on Pattern Analysis and Machine Intelligence and Applied Energy.

In The Last Decade

Ning Xu

73 papers receiving 1.6k citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

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

2022 131 citations Chen Li, Ning Xu et al. profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Ning Xu China	22	841	549	259	234	215	79	1.7k
Yifan Shi China	12	771 0.9×	393 0.7×	136 0.5×	107 0.5×	64 0.3×	37	1.8k
Shan Suthaharan United States	14	438 0.5×	370 0.7×	136 0.5×	111 0.5×	69 0.3×	79	1.5k
Rafał Scherer Poland	20	518 0.6×	460 0.8×	165 0.6×	156 0.7×	47 0.2×	103	1.4k
John Berkowitz United States	3	519 0.6×	254 0.5×	185 0.7×	99 0.4×	93 0.4×	3	1.4k
Christophe Rosenberger France	21	405 0.5×	925 1.7×	339 1.3×	313 1.3×	126 0.6×	92	1.7k
Fahd N. Al‐Wesabi Saudi Arabia	20	537 0.6×	392 0.7×	191 0.7×	239 1.0×	68 0.3×	167	1.7k
Hemant Ghayvat India	20	350 0.4×	479 0.9×	106 0.4×	213 0.9×	62 0.3×	58	1.9k
Akshansh Gupta India	10	435 0.5×	252 0.5×	153 0.6×	194 0.8×	51 0.2×	18	1.4k
Xiaowei Gu United Kingdom	27	930 1.1×	290 0.5×	118 0.5×	101 0.4×	93 0.4×	94	1.8k

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-authorship network of co-authors of Ning Xu

This figure shows the co-authorship network connecting the top 25 collaborators of Ning Xu. A scholar is included among the top collaborators of Ning Xu 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 Ning Xu. Ning Xu 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:

20 of 20 papers shown

1.

Yang, Chao, et al.. (2025). State of the Art Review on the Crashworthiness of Railway Vehicles. Chinese Journal of Mechanical Engineering. 38(1). 1 indexed citations

2.

Kong, Zheng, et al.. (2025). Range-resolved tunable diode laser absorption spectroscopy for humidity sensing. Sensors and Actuators B Chemical. 446. 138676–138676.

3.

Kong, Zheng, Yuan Cheng, Xinhong Wang, et al.. (2025). Imaging-based lidar for atmospheric remote sensing: A review. Optics & Laser Technology. 191. 113354–113354. 1 indexed citations

4.

Zhu, Fengle, Haiyan Wei, Yuecheng Shen, et al.. (2025). A multi-feature fusion based method for detecting the moisture content of withered black tea. Journal of Food Composition and Analysis. 141. 107325–107325. 3 indexed citations

5.

Xu, Ning, et al.. (2025). Cnt Interconnect Performance Prediction Based on Random Forest Regression. 57–62.

6.

Xu, Ning, et al.. (2024). Variational Label Enhancement for Instance-Dependent Partial Label Learning. IEEE Transactions on Pattern Analysis and Machine Intelligence. 46(12). 11298–11313. 2 indexed citations

7.

Feng, Lei, Ning Xu, Miao Xu, et al.. (2023). On the Robustness of Average Losses for Partial-Label Learning. IEEE Transactions on Pattern Analysis and Machine Intelligence. 46(5). 2569–2583. 12 indexed citations

8.

Yang, Jinyu, Jingjing Liu, Ning Xu, & Junzhou Huang. (2023). TVT: Transferable Vision Transformer for Unsupervised Domain Adaptation. 2023 IEEE/CVF Winter Conference on Applications of Computer Vision (WACV). 520–530. 87 indexed citations

9.

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.

Li, Chen, Fanjie Kong, Kai Wang, et al.. (2019). Microscopic Machine Vision Based Degradation Monitoring of Low-Voltage Electromagnetic Coil Insulation Using Ensemble Learning in a Membrane Computing Framework. IEEE Access. 7. 97216–97241. 3 indexed citations

11.

Kulwa, Frank, Chen Li, Xin Zhao, et al.. (2019). A State-of-the-Art Survey for Microorganism Image Segmentation Methods and Future Potential. IEEE Access. 7. 100243–100269. 47 indexed citations

12.

Xu, Xiaodong, et al.. (2019). Urban Layout Optimization Based on Genetic Algorithm for Microclimate Performance in the Cold Region of China. Applied Sciences. 9(22). 4747–4747. 31 indexed citations

13.

Lv, Jiaqi, et al.. (2019). Weakly Supervised Multi-Label Learning via Label Enhancement. 3101–3107. 14 indexed citations

14.

Xu, Xiaodong, et al.. (2018). The Cause and Evolution of Urban Street Vitality under the Time Dimension: Nine Cases of Streets in Nanjing City, China. Sustainability. 10(8). 2797–2797. 44 indexed citations

15.

Xu, Ning, et al.. (2018). Multi-label Learning with Label Enhancement. 437–446. 29 indexed citations

16.

Zhu, Bin, et al.. (2014). Captcha as Graphical Passwords—A New Security Primitive Based on Hard AI Problems. IEEE Transactions on Information Forensics and Security. 9(6). 891–904. 64 indexed citations

17.

Xu, Ning. (2012). The Exploration and Practice of Research Based Teaching Pattern in Physical Optics Course.

18.

Xu, Ning. (2007). Simulated Annealing Algorithm Based on Controllable Temperature for Solving TSP. Jisuanji yingyong yanjiu. 2 indexed citations

19.

Li, Yong, Ning Xu, J. Michael Fitzpatrick, et al.. (2007). Accounting for Signal Loss Due to Dephasing in the Correction of Distortions in Gradient-Echo EPI Via Nonrigid Registration. IEEE Transactions on Medical Imaging. 26(12). 1698–1707. 11 indexed citations

20.

Xu, Ning. (2002). Studies on Some Modern Optimization Algorithms. Systems engineering and electronics. 3 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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