Charles X. Ling

9.4k total citations · 1 hit paper
131 papers, 5.7k citations indexed

About

Charles X. Ling is a scholar working on Artificial Intelligence, Information Systems and Computer Vision and Pattern Recognition. According to data from OpenAlex, Charles X. Ling has authored 131 papers receiving a total of 5.7k indexed citations (citations by other indexed papers that have themselves been cited), including 91 papers in Artificial Intelligence, 30 papers in Information Systems and 24 papers in Computer Vision and Pattern Recognition. Recurrent topics in Charles X. Ling's work include Machine Learning and Data Classification (34 papers), Imbalanced Data Classification Techniques (29 papers) and Machine Learning and Algorithms (22 papers). Charles X. Ling is often cited by papers focused on Machine Learning and Data Classification (34 papers), Imbalanced Data Classification Techniques (29 papers) and Machine Learning and Algorithms (22 papers). Charles X. Ling collaborates with scholars based in Canada, China and United States. Charles X. Ling's co-authors include Jin Huang, LI Cheng-hui, Wenyin Gong, Zhihua Cai, Victor S. Sheng, Jin Huang, Qiang Yang, Harry Zhang, Shichao Zhang and Hui Li and has published in prestigious journals such as Bioinformatics, PLoS ONE and IEEE Transactions on Pattern Analysis and Machine Intelligence.

In The Last Decade

Charles X. Ling

123 papers receiving 5.3k 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.

Using AUC and accuracy in evaluating learning algorithms

2005 1.5k citations Charles X. Ling et al. IEEE Transactions on Knowledge and Data Engineering profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Charles X. Ling Canada	29	3.3k	1.2k	700	665	552	131	5.7k
Oded Maimon Israel	32	2.4k 0.7×	1.0k 0.9×	663 0.9×	510 0.8×	511 0.9×	136	6.8k
Rudy Setiono Singapore	32	3.4k 1.0×	998 0.9×	887 1.3×	843 1.3×	548 1.0×	90	5.4k
Stan Matwin Canada	36	4.3k 1.3×	1.3k 1.2×	664 0.9×	330 0.5×	436 0.8×	263	6.8k
Marc K. Albert United States	14	3.1k 0.9×	1.1k 0.9×	1.0k 1.4×	380 0.6×	455 0.8×	26	5.4k
María José del Jesús Spain	34	4.5k 1.4×	1.3k 1.1×	611 0.9×	866 1.3×	204 0.4×	108	5.7k
Simon Fong Macao	39	2.8k 0.8×	934 0.8×	942 1.3×	439 0.7×	588 1.1×	428	7.1k
Manoranjan Dash Singapore	20	3.4k 1.0×	1.1k 0.9×	1.5k 2.2×	921 1.4×	793 1.4×	68	5.8k
André C. P. L. F. de Carvalho Brazil	46	4.2k 1.3×	903 0.8×	1.1k 1.5×	543 0.8×	826 1.5×	372	8.0k
Mark A. Hall New Zealand	12	2.3k 0.7×	1.0k 0.9×	999 1.4×	412 0.6×	915 1.7×	15	4.8k
Robert C. Holte Canada	29	3.8k 1.1×	1.0k 0.9×	1.1k 1.5×	485 0.7×	238 0.4×	134	5.5k

Countries citing papers authored by Charles X. Ling

Since Specialization

Citations

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

Fields of papers citing papers by Charles X. Ling

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Charles X. Ling. 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 Charles X. Ling. The network helps show where Charles X. Ling may publish in the future.

Co-authorship network of co-authors of Charles X. Ling

This figure shows the co-authorship network connecting the top 25 collaborators of Charles X. Ling. A scholar is included among the top collaborators of Charles X. Ling 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 Charles X. Ling. Charles X. Ling 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

Kong, Xuan, Charles X. Ling, Jianhua Yan, et al.. (2025). Integration of Electrical Heating and Infrared-Reflection with Connected Ag Network for Personal Thermal Management. ACS Applied Materials & Interfaces. 17(34). 48600–48609.

Yu, Lixing, et al.. (2025). FedELR: When federated learning meets learning with noisy labels. Neural Networks. 187. 107275–107275. 1 indexed citations

Wang, Ze, Feng Wan, Chi Man Wong, et al.. (2024). Multiview Contrastive Learning for Unsupervised Domain Adaptation in Brain–Computer Interfaces. IEEE Transactions on Instrumentation and Measurement. 73. 1–10. 4 indexed citations

Shui, Changjian, Charles X. Ling, Shichun Yang, et al.. (2024). Hessian Aware Low-Rank Perturbation for Order-Robust Continual Learning. IEEE Transactions on Knowledge and Data Engineering. 36(11). 6385–6396. 1 indexed citations

Shui, Changjian, et al.. (2023). Label shift conditioned hybrid querying for deep active learning. Knowledge-Based Systems. 274. 110616–110616. 1 indexed citations

Yin, M., Boyu Wang, & Charles X. Ling. (2023). A fast local citation recommendation algorithm scalable to multi-topics. Expert Systems with Applications. 238. 122031–122031. 4 indexed citations

Zhou, Fan, Yuyi Chen, Jun Wen, et al.. (2023). Episodic task agnostic contrastive training for multi-task learning. Neural Networks. 162. 34–45. 8 indexed citations

Sheng, Victor S., et al.. (2020). Ensemble Learning With Attention-Integrated Convolutional Recurrent Neural Network for Imbalanced Speech Emotion Recognition. IEEE Access. 8. 199909–199919. 9 indexed citations

Li, Xiang, et al.. (2017). Triply Stochastic Gradients on Multiple Kernel Learning.. Uncertainty in Artificial Intelligence. 8 indexed citations

10.

Gu, Bin & Charles X. Ling. (2015). A New Generalized Error Path Algorithm for Model Selection. International Conference on Machine Learning. 2549–2558. 12 indexed citations

11.

Li, Xiang, Huaimin Wang, Bin Gu, & Charles X. Ling. (2015). Data sparseness in linear SVM. International Conference on Artificial Intelligence. 3628–3634. 8 indexed citations

12.

Kuang, Da, et al.. (2011). A new search engine integrating hierarchical browsing and keyword search. International Joint Conference on Artificial Intelligence. 2464–2469. 6 indexed citations

13.

Sheng, Victor S., et al.. (2006). Cost-sensitive test strategies. National Conference on Artificial Intelligence. 482–487. 23 indexed citations

14.

Ling, Charles X. & Huajie Zhang. (2003). The representational power of discrete bayesian networks. Journal of Machine Learning Research. 3. 709–721. 19 indexed citations

15.

Ling, Charles X., et al.. (2003). Decision tree with better ranking. International Conference on Machine Learning. 480–487. 36 indexed citations

16.

Zhang, Huajie & Charles X. Ling. (2001). Learnability of Augmented Naive Bayes in Nonimal Domains. International Conference on Machine Learning. 617–623. 4 indexed citations

17.

Ling, Charles X. & LI Cheng-hui. (1998). Data mining for direct marketing: problems and solutions. Knowledge Discovery and Data Mining. 73–79. 443 indexed citations

18.

Ling, Charles X. & Handong Wang. (1997). Alignment algorithms for learning to read aloud. International Joint Conference on Artificial Intelligence. 874–879. 2 indexed citations

19.

Ling, Charles X., et al.. (1993). A Symbolic Model for Learning the Past-Tenses of English Verbs.. International Joint Conference on Artificial Intelligence. 1143–1149. 3 indexed citations

20.

Ling, Charles X., et al.. (1993). Constructive Inductive Logic Programming.. International Joint Conference on Artificial Intelligence. 1030–1036. 12 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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