Hualong Yu

3.4k citations
125 papers · 2.6k indexed · h-index 29
Topics
Imbalanced Data Classification Techniques (28 papers)Rough Sets and Fuzzy Logic (21 papers)Machine Learning and ELM (16 papers)
Journals
SHILAP Revista de lepidopterologíaScientific ReportsExpert Systems with Applications
Partner nations
ChinaUnited StatesMacao

In The Last Decade

Hualong Yu

119 papers receiving 2.5k citations

Peers

Hualong Yu
Comparison fields: 5 of 153
  • Artificial Intelligence 1.6k
  • Computational Theory and Mathematics 838
  • Information Systems 640
  • Computer Vision and Pattern Recognition 406
  • Molecular Biology 345
Replace Anirban Mukhopadhyay with:
Anirban Mukhopadhyay India
Ji Zhang China
Jiucheng Xu China
Yumin Chen China
Xuegang Hu China
Lin Sun China
Ala’ M. Al-Zoubi Jordan
Jianye Hao China
Ka‐Chun Wong Hong Kong
E. Emary Egypt
Hualong Yu relative to Anirban Mukhopadhyay India Anirban Mukhopadhyay's profile →
Citations per field
00.5×
Anirban Mukhopadhyay · 1×
Citations per year

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
#WorkIndexed citations
1 6
2 0
3 0
4 21
5 12
6 6
7 3
8 5
9 1
10 7
11 38
12 6
13 2
14 14
15 57
16 73
17 115
18
Effect of low-level laser irradiation (LLLI) combined with ferulic acid on the osteoblast differentiation and maturation as well as osteogenesis signaling pathway expression
1
19 23
20
Mining and Integrating Reliable Decision Rules for Imbalanced Cancer Gene Expression Data Sets
26

About Hualong Yu

Hualong Yu is a scholar working on Artificial Intelligence, Computational Theory and Mathematics and Information Systems, having authored 125 papers that have together received 2.6k indexed citations. Recurring topics across this work include Imbalanced Data Classification Techniques (28 papers), Rough Sets and Fuzzy Logic (21 papers) and Machine Learning and ELM (16 papers). The work is most often cited by research in Computational Theory and Mathematics (838 citations), Artificial Intelligence (1.6k citations) and Information Systems (640 citations). Hualong Yu has collaborated with scholars based in China, United States and Macao. Frequent 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. Their work appears in journals such as SHILAP Revista de lepidopterología, Scientific Reports and Expert Systems with Applications.

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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