Jiaolong Chen

417 total citations
12 papers, 324 citations indexed

About

Jiaolong Chen is a scholar working on Computational Theory and Mathematics, Artificial Intelligence and Management Science and Operations Research. According to data from OpenAlex, Jiaolong Chen has authored 12 papers receiving a total of 324 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Computational Theory and Mathematics, 5 papers in Artificial Intelligence and 4 papers in Management Science and Operations Research. Recurrent topics in Jiaolong Chen's work include Rough Sets and Fuzzy Logic (8 papers), Multi-Criteria Decision Making (4 papers) and Fuzzy Logic and Control Systems (4 papers). Jiaolong Chen is often cited by papers focused on Rough Sets and Fuzzy Logic (8 papers), Multi-Criteria Decision Making (4 papers) and Fuzzy Logic and Control Systems (4 papers). Jiaolong Chen collaborates with scholars based in China, Japan and Spain. Jiaolong Chen's co-authors include Jianhua Dai, Xiaofeng Liu, Ye Liu, Hu Hu, Hamido Fujita, Zhaowen Li, Ye Liu, Changzhong Wang, Jianming Zhan and Jian‐Hua Guo and has published in prestigious journals such as SHILAP Revista de lepidopterología, Information Sciences and Applied Soft Computing.

In The Last Decade

Jiaolong Chen

12 papers receiving 322 citations

Peers

Jiaolong Chen
Alexios Chouchoulas United Kingdom
Junhyeong Lee South Korea
Jiwen Guan United Kingdom
Jiaolong Chen
Citations per year, relative to Jiaolong Chen Jiaolong Chen (= 1×) peers Lianmeng Jiao

Countries citing papers authored by Jiaolong Chen

Since Specialization
Citations

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

Fields of papers citing papers by Jiaolong Chen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jiaolong Chen

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

All Works

12 of 12 papers shown
1.
Chen, Xiaohong, Jiaolong Chen, Dongbin Hu, & Wei Liang. (2024). Application of Artificial Intelligence Large Language Model for Smart Environmental Judicial Adjudication. SHILAP Revista de lepidopterología. 26(1). 190–190. 1 indexed citations
2.
Chen, Jiaolong, Jian‐Hua Guo, Yiren Chen, et al.. (2023). Improving Neutron-gamma discrimination in CLYC with Gaussian mixture model. Journal of Instrumentation. 18(9). P09006–P09006. 1 indexed citations
3.
Liu, Xiaofeng, et al.. (2021). A fuzzy α -similarity relation-based attribute reduction approach in incomplete interval-valued information systems. Applied Soft Computing. 109. 107593–107593. 15 indexed citations
4.
Dai, Jianhua, Ye Liu, & Jiaolong Chen. (2021). Feature selection via max-independent ratio and min-redundant ratio based on adaptive weighted kernel density estimation. Information Sciences. 568. 86–112. 20 indexed citations
5.
Liu, Xiaofeng, et al.. (2020). Unsupervised attribute reduction based on $$\alpha $$-approximate equal relation in interval-valued information systems. International Journal of Machine Learning and Cybernetics. 11(9). 2021–2038. 16 indexed citations
6.
Dai, Jianhua, Jiaolong Chen, Ye Liu, & Hu Hu. (2020). Novel multi-label feature selection via label symmetric uncertainty correlation learning and feature redundancy evaluation. Knowledge-Based Systems. 207. 106342–106342. 68 indexed citations
7.
Dai, Jianhua, et al.. (2020). Knowledge granularity based incremental attribute reduction for incomplete decision systems. International Journal of Machine Learning and Cybernetics. 11(5). 1141–1157. 24 indexed citations
8.
Li, Zhaowen, Xiaofeng Liu, Jianhua Dai, Jiaolong Chen, & Hamido Fujita. (2020). Measures of uncertainty based on Gaussian kernel for a fully fuzzy information system. Knowledge-Based Systems. 196. 105791–105791. 40 indexed citations
9.
Dai, Jianhua & Jiaolong Chen. (2020). Feature selection via normative fuzzy information weight with application into tumor classification. Applied Soft Computing. 92. 106299–106299. 82 indexed citations
10.
Liu, Xiaofeng, Jianhua Dai, Jiaolong Chen, Changzhong Wang, & Jianming Zhan. (2020). Measures of Uncertainty Based on Gaussian Kernel for Type-2 Fuzzy Information Systems. International Journal of Fuzzy Systems. 23(4). 1163–1178. 6 indexed citations
11.
Dai, Jianhua, Ye Liu, Jiaolong Chen, & Xiaofeng Liu. (2020). Fast feature selection for interval-valued data through kernel density estimation entropy. International Journal of Machine Learning and Cybernetics. 11(12). 2607–2624. 48 indexed citations
12.
Shen, Jiacheng, et al.. (2018). [Time-effect relationship and molecular mechanism of electroacupuncture for repair of gastric mucosal lesion].. PubMed. 38(7). 747–52. 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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