Long-Hao Yang

1.4k total citations
64 papers, 1.0k citations indexed

About

Long-Hao Yang is a scholar working on Management Science and Operations Research, Artificial Intelligence and Computational Theory and Mathematics. According to data from OpenAlex, Long-Hao Yang has authored 64 papers receiving a total of 1.0k indexed citations (citations by other indexed papers that have themselves been cited), including 25 papers in Management Science and Operations Research, 16 papers in Artificial Intelligence and 11 papers in Computational Theory and Mathematics. Recurrent topics in Long-Hao Yang's work include Multi-Criteria Decision Making (22 papers), Rough Sets and Fuzzy Logic (11 papers) and Infant Nutrition and Health (10 papers). Long-Hao Yang is often cited by papers focused on Multi-Criteria Decision Making (22 papers), Rough Sets and Fuzzy Logic (11 papers) and Infant Nutrition and Health (10 papers). Long-Hao Yang collaborates with scholars based in China, United Kingdom and Hong Kong. Long-Hao Yang's co-authors include Ying-Ming Wang, Fei-Fei Ye, Jun Liu, Ying‐Ming Wang, Yang-Geng Fu, Leilei Chang, Luis Martı́nez, Zhijie Zhou, Ying‐Ming Wang and Kwai‐Sang Chin and has published in prestigious journals such as Journal of Cleaner Production, Journal of Agricultural and Food Chemistry and Carbohydrate Polymers.

In The Last Decade

Long-Hao Yang

59 papers receiving 1.0k citations

Peers

Long-Hao Yang
Comparison fields: 5 of 99
  • Artificial Intelligence 515
  • Management Science and Operations Research 344
  • Computational Theory and Mathematics 248
  • Information Systems 133
  • Control and Systems Engineering 116
Replace Bhagawati Prasad Joshi with:
Bhagawati Prasad Joshi India
Mauricio A. Sanchez Mexico
José Manuel Cadenas Figueredo Spain
Majid Mohammadi Iran
Marı́a J. Martı́n-Bautista Spain
V.S.S. Yadavalli South Africa
Hélène Fargier France
Yue He China
Changsheng Zhang China
Bhagawati Prasad Joshi India View profile →
Citations per field, relative to Long-Hao Yang
Long-Hao Yang · 1×
Citations per year, relative to Long-Hao Yang
Long-Hao Yang · 1×

Countries citing papers authored by Long-Hao Yang

Since Specialization
Citations

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

Fields of papers citing papers by Long-Hao Yang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Long-Hao Yang. 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 Long-Hao Yang. The network helps show where Long-Hao Yang may publish in the future.

Co-authorship network of co-authors of Long-Hao Yang

This figure shows the co-authorship network connecting the top 25 collaborators of Long-Hao Yang. A scholar is included among the top collaborators of Long-Hao Yang 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 Long-Hao Yang. Long-Hao Yang 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 1
3 0
4 3
5 0
6 1
7 1
8 4
9 13
10 10
11 0
12 17
13 4
14 10
15 7
16 8
17 7
18 17
19
Belief rule based inference methodology for classification based on differential evolution algorithm
1
20 91

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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