Hualong Yu

3.4k total citations
125 papers, 2.6k citations indexed

About

Hualong Yu is a scholar working on Artificial Intelligence, Information Systems and Computational Theory and Mathematics. According to data from OpenAlex, Hualong Yu has authored 125 papers receiving a total of 2.6k indexed citations (citations by other indexed papers that have themselves been cited), including 62 papers in Artificial Intelligence, 23 papers in Information Systems and 23 papers in Computational Theory and Mathematics. Recurrent topics in Hualong Yu's work include Imbalanced Data Classification Techniques (28 papers), Rough Sets and Fuzzy Logic (21 papers) and Machine Learning and ELM (16 papers). Hualong Yu is often cited by papers focused on Imbalanced Data Classification Techniques (28 papers), Rough Sets and Fuzzy Logic (21 papers) and Machine Learning and ELM (16 papers). Hualong Yu collaborates with scholars based in China, United States and Macao. Hualong Yu's co-authors include Xibei Yang, Xibei Yang, Jun Ni, Changyin Sun, Shang Zheng, Shang Gao, Jingyu Yang, Jing Zhao, Dong‐Jun Yu and Yuhua Qian and has published in prestigious journals such as SHILAP Revista de lepidopterología, Scientific Reports and Expert Systems with Applications.

In The Last Decade

Hualong Yu

119 papers receiving 2.5k citations

Peers

Hualong Yu
Anirban Mukhopadhyay India
Ji Zhang China
Jianye Hao China
Yumin Chen China
Jiucheng Xu China
Huaxiang Zhang China
Yansen Su China
Pengfei Zhang China
Jeffrey J. P. Tsai United States
Lin Sun China
Anirban Mukhopadhyay India
Hualong Yu
Citations per year, relative to Hualong Yu Hualong Yu (= 1×) peers Anirban Mukhopadhyay

Countries citing papers authored by Hualong Yu

Since Specialization
Citations

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

Fields of papers citing papers by Hualong Yu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Hualong Yu

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

All Works

20 of 20 papers shown
1.
Yu, Hualong, Dong Li, Guodong Li, et al.. (2024). Incidence and risk factors for pulmonary hemorrhage after percutaneous CT-guided pulmonary nodule biopsy: an observational study. Scientific Reports. 14(1). 7348–7348. 6 indexed citations
2.
Xiang, Wenjing, Lei Li, Lei Li, et al.. (2024). Diminished nuclear‐localized β‐adrenoceptor signalling activates YAP to promote kidney fibrosis in diabetic nephropathy. British Journal of Pharmacology. 182(20). 4926–4943.
3.
Yang, Xibei, et al.. (2024). CC<i>k</i>EL: Compensation-based correlated <i>k</i>-labelsets for classifying imbalanced multi-label data. Electronic Research Archive. 32(5). 3038–3058.
4.
5.
Wang, Pingxin, et al.. (2023). Glee: A granularity filter for feature selection. Engineering Applications of Artificial Intelligence. 122. 106080–106080. 12 indexed citations
6.
Yang, Xibei, et al.. (2023). A partition-based problem transformation algorithm for classifying imbalanced multi-label data. Engineering Applications of Artificial Intelligence. 128. 107506–107506. 6 indexed citations
7.
Yang, Xibei, et al.. (2023). Ensemble selector mixed with pareto optimality to feature reduction. Applied Soft Computing. 148. 110877–110877. 3 indexed citations
8.
Li, Guiyu, et al.. (2023). Heterogeneous Cross-Project Defect Prediction via Optimal Transport. IEEE Access. 11. 12015–12030. 5 indexed citations
9.
Yu, Hualong, et al.. (2023). Relevance meets calibration: Triple calibration distance design for neighbour-based recommender systems. Journal of Information Science. 52(1). 86–101. 1 indexed citations
10.
Wang, Xiaoxiao, et al.. (2023). SSGCN: a sampling sequential guided graph convolutional network. International Journal of Machine Learning and Cybernetics. 15(5). 2023–2038. 7 indexed citations
11.
Yu, Hualong, et al.. (2022). Instance weighted SMOTE by indirectly exploring the data distribution. Knowledge-Based Systems. 249. 108919–108919. 38 indexed citations
12.
Gu, Yan, et al.. (2022). DME: An Adaptive and Just-in-Time Weighted Ensemble Learning Method for Classifying Block-Based Concept Drift Steam. IEEE Access. 10. 120578–120591. 6 indexed citations
13.
Wu, Shiqi, et al.. (2021). Probability Density Machine: A New Solution of Class Imbalance Learning. Scientific Programming. 2021. 1–14. 2 indexed citations
14.
Zheng, Shang, et al.. (2020). Software Defect Prediction Based on Fuzzy Weighted Extreme Learning Machine with Relative Density Information. Scientific Programming. 2020. 1–18. 14 indexed citations
15.
Zhang, Chen, et al.. (2019). Grouped SMOTE With Noise Filtering Mechanism for Classifying Imbalanced Data. IEEE Access. 7. 170668–170681. 57 indexed citations
16.
Yu, Hualong, et al.. (2019). Fuzzy Support Vector Machine With Relative Density Information for Classifying Imbalanced Data. IEEE Transactions on Fuzzy Systems. 27(12). 2353–2367. 73 indexed citations
17.
Yu, Hualong, Xibei Yang, Shang Zheng, & Changyin Sun. (2018). Active Learning From Imbalanced Data: A Solution of Online Weighted Extreme Learning Machine. IEEE Transactions on Neural Networks and Learning Systems. 30(4). 1088–1103. 115 indexed citations
18.
Yu, Hualong, et al.. (2017). Effect of low-level laser irradiation (LLLI) combined with ferulic acid on the osteoblast differentiation and maturation as well as osteogenesis signaling pathway expression. SHILAP Revista de lepidopterología. 1 indexed citations
19.
Yang, Xibei, et al.. (2016). Multigranulation rough set: A multiset based strategy. International Journal of Computational Intelligence Systems. 10(1). 277–277. 23 indexed citations
20.
Yu, Hualong, Jun, Ni, et al.. (2012). Mining and Integrating Reliable Decision Rules for Imbalanced Cancer Gene Expression Data Sets. 清华大学学报：自然科学英文版. 17(6). 666–673. 26 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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