Leilei Chang

2.4k total citations
78 papers, 1.9k citations indexed

About

Leilei Chang is a scholar working on Artificial Intelligence, Control and Systems Engineering and Management Science and Operations Research. According to data from OpenAlex, Leilei Chang has authored 78 papers receiving a total of 1.9k indexed citations (citations by other indexed papers that have themselves been cited), including 33 papers in Artificial Intelligence, 19 papers in Control and Systems Engineering and 19 papers in Management Science and Operations Research. Recurrent topics in Leilei Chang's work include Multi-Criteria Decision Making (19 papers), Bayesian Modeling and Causal Inference (17 papers) and Rough Sets and Fuzzy Logic (15 papers). Leilei Chang is often cited by papers focused on Multi-Criteria Decision Making (19 papers), Bayesian Modeling and Causal Inference (17 papers) and Rough Sets and Fuzzy Logic (15 papers). Leilei Chang collaborates with scholars based in China, United Kingdom and United States. Leilei Chang's co-authors include Changhua Hu, Zhijie Zhou, Zhijie Zhou, Yu‐Wang Chen, Limao Zhang, Xiaobin Xu, Guanyu Hu, Fujun Zhao, Zhiguo Zhou and Chao Fu and has published in prestigious journals such as IEEE Transactions on Power Electronics, IEEE Transactions on Image Processing and Expert Systems with Applications.

In The Last Decade

Leilei Chang

69 papers receiving 1.9k citations

Peers

Leilei Chang
Comparison fields: 5 of 105
  • Artificial Intelligence 862
  • Control and Systems Engineering 539
  • Management Science and Operations Research 474
  • Computational Theory and Mathematics 362
  • Information Systems 286
Replace Yongchuan Tang with:
Yongchuan Tang China
Xiaobin Xu China
Guanyu Hu China
Yun-Chia Liang Taiwan
Anne-Laure Jousselme Canada
Xiaoyan Su China
Inés Couso Spain
Lev V. Utkin Russia
Esmaile Khorram Iran
Maria Prandini Italy
Yongchuan Tang China View profile →
Citations per field, relative to Leilei Chang
Leilei Chang · 1×
Citations per year, relative to Leilei Chang
Leilei Chang · 1×

Countries citing papers authored by Leilei Chang

Since Specialization
Citations

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

Fields of papers citing papers by Leilei Chang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Leilei Chang

This figure shows the co-authorship network connecting the top 25 collaborators of Leilei Chang. A scholar is included among the top collaborators of Leilei Chang 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 Leilei Chang. Leilei Chang 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
# Work Indexed citations
1 0
2 0
3 0
4 2
5 26
6 11
7 1
8 3
9 2
10 8
11 35
12 14
13 113
14 16
15 64
16 114
17 29
18 107
19 91
20 21

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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