Yucheng Dong

225 papers receiving 14.2k citations

Hit Papers

Consistency and consensus measures for linguistic prefere...200920262014202020122018201020092016100200300400

Peers

Yucheng Dong
Comparison fields: 5 of 154
  • Management Science and Operations Research 9.9k
  • Artificial Intelligence 5.6k
  • Computational Theory and Mathematics 3.1k
  • Statistical and Nonlinear Physics 2.8k
  • Control and Systems Engineering 1.4k
Replace Francisco Chiclana with:
Francisco Chiclana United Kingdom
Gang Kou China
Luis Martı́nez Spain
Huchang Liao China
Francisco Javier Cabrerizo Spain
Jian Wu China
Guangquan Zhang Australia
Hengjie Zhang China
Yejun Xu China
Janusz Kacprzyk Poland
Yucheng Dong relative to Francisco Chiclana United Kingdom Francisco Chiclana's profile →
Citations per field
00.5×1.5×
Francisco Chiclana · 1×
Citations per year

Countries citing papers authored by Yucheng Dong

Since Specialization
Citations

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

Fields of papers citing papers by Yucheng Dong

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yucheng Dong

This figure shows the co-authorship network connecting the top 25 collaborators of Yucheng Dong. A scholar is included among the top collaborators of Yucheng Dong 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 Yucheng Dong. Yucheng Dong 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 3
2 5
3 0
4 5
5 2
6 1
7 11
8 2
9 22
10 12
11 15
12 61
13 186
14 28
15 171
16 81
17 15
18 13
19 170
20 195

About Yucheng Dong

Yucheng Dong is a scholar working on Management Science and Operations Research, Statistical and Nonlinear Physics and Computational Theory and Mathematics, having authored 232 papers that have together received 14.5k indexed citations. Recurring topics across this work include Multi-Criteria Decision Making (128 papers), Opinion Dynamics and Social Influence (49 papers) and Rough Sets and Fuzzy Logic (48 papers). The work is most often cited by research in Management Science and Operations Research (9.9k citations), Statistical and Nonlinear Physics (2.8k citations) and Computational Theory and Mathematics (3.1k citations). Yucheng Dong has collaborated with scholars based in China, Spain and Saudi Arabia. Frequent co-authors include Hengjie Zhang, Enrique Herrera‐Viedma, Yinfeng Xu, Francisco Chiclana, Francisco Herrera, Cong‐Cong Li, Guiqing Zhang, Haiming Liang, Wei‐Chiang Hong and Gang Kou. Their work appears in journals such as Nature Communications, Journal of Cleaner Production and Scientific Reports.

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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