Ya-Jun Leng

449 total citations
20 papers, 343 citations indexed

About

Ya-Jun Leng is a scholar working on Electrical and Electronic Engineering, Information Systems and Management Science and Operations Research. According to data from OpenAlex, Ya-Jun Leng has authored 20 papers receiving a total of 343 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Electrical and Electronic Engineering, 6 papers in Information Systems and 6 papers in Management Science and Operations Research. Recurrent topics in Ya-Jun Leng's work include Integrated Energy Systems Optimization (6 papers), Multi-Criteria Decision Making (5 papers) and Recommender Systems and Techniques (5 papers). Ya-Jun Leng is often cited by papers focused on Integrated Energy Systems Optimization (6 papers), Multi-Criteria Decision Making (5 papers) and Recommender Systems and Techniques (5 papers). Ya-Jun Leng collaborates with scholars based in China. Ya-Jun Leng's co-authors include Qing Lu, Shuaikang Lü, Zhixin Zhang, Changyong Liang, Huan Zhang, Shuping Zhao, Xiaoshuang Li, Yu Hao, Jianchao Hou and Pinjie Xie and has published in prestigious journals such as Journal of Cleaner Production, Expert Systems with Applications and Energy.

In The Last Decade

Ya-Jun Leng

18 papers receiving 332 citations

Peers

Ya-Jun Leng
Comparison fields: 5 of 59
  • Electrical and Electronic Engineering 203
  • Control and Systems Engineering 62
  • Renewable Energy, Sustainability and the Environment 48
  • Energy Engineering and Power Technology 41
  • Information Systems 39
Replace Aspassia Daskalopulu with:
Aspassia Daskalopulu Greece
Nicole Ludwig Germany
Bertrand Cornélusse Belgium
Anjali Jain India
Andrej F. Gubina Slovenia
Cédric Clastres France
Guangchun Ruan China
Petra Heijnen Netherlands
Tanveer Ahmad Pakistan
Shuxia Yang China
Aspassia Daskalopulu Greece View profile →
Citations per field, relative to Ya-Jun Leng
Ya-Jun Leng · 1×
Citations per year, relative to Ya-Jun Leng
Ya-Jun Leng · 1×

Countries citing papers authored by Ya-Jun Leng

Since Specialization
Citations

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

Fields of papers citing papers by Ya-Jun Leng

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Ya-Jun Leng. 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 Ya-Jun Leng. The network helps show where Ya-Jun Leng may publish in the future.

Co-authorship network of co-authors of Ya-Jun Leng

This figure shows the co-authorship network connecting the top 25 collaborators of Ya-Jun Leng. A scholar is included among the top collaborators of Ya-Jun Leng 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 Ya-Jun Leng. Ya-Jun Leng 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 9
3 0
4 10
5 6
6 15
7 38
8 8
9 6
10 2
11 78
12 41
13 58
14 4
15 22
16 13
17 13
18
Collaborative Filtering Recommendation Algorithm Based on Neighbor Rating Imputation
1
19 13
20
A Hybrid Multi-Criteria Group Decision Making with TOPSIS Method
6

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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