Min Jin

46 papers receiving 751 citations

Hit Papers

A weighted bilinear neural collaborative filtering approa...20222026202320242022255075100

Peers

Min Jin
Comparison fields: 5 of 98
  • Electrical and Electronic Engineering 294
  • Artificial Intelligence 235
  • Renewable Energy, Sustainability and the Environment 159
  • Molecular Biology 156
  • Computational Theory and Mathematics 144
Replace Ali Maroosi with:
Ali Maroosi Iran
Xiaojia Ye China
Hongwei Dai China
Juana L. Redondo Spain
Jixiang Cheng China
Lokesh Kumar Panwar India
Samrat Mondal India
Ayesha Khan Pakistan
Min Jin relative to Ali Maroosi Iran Ali Maroosi's profile →
Citations per field
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Citations per year

Countries citing papers authored by Min Jin

Since Specialization
Citations

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

Fields of papers citing papers by Min Jin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Min Jin

This figure shows the co-authorship network connecting the top 25 collaborators of Min Jin. A scholar is included among the top collaborators of Min Jin 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 Min Jin. Min Jin 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 2
2 0
3 10
4 1
5 3
6 3
7 34
8
A weighted bilinear neural collaborative filtering approach for drug repositioningbreakdown →
119
9 53
10 1
11 4
12 168
13 14
14
An anycast routing algorithm based on genetic algorithm
2
15
Research on Short-Term Electrical Load Forecasting Based on Optimized Combination Model of Grey Correlation Segmentation
2
16
Research and implementation on genetic algorithms for graph fitness optimization
1
17 2
18 8
19
Design of a Storage System for XML Documents using Relational Databases
3
20
Braking Moment and Oil Pressure of a Mine Hoist
1

About Min Jin

Min Jin is a scholar working on Ecological Modeling, Management Science and Operations Research and Artificial Intelligence, having authored 51 papers that have together received 770 indexed citations. Recurring topics across this work include Energy Load and Power Forecasting (9 papers), Grey System Theory Applications (6 papers) and Bioinformatics and Genomic Networks (6 papers). The work is most often cited by research in Renewable Energy, Sustainability and the Environment (159 citations), Computational Theory and Mathematics (144 citations) and Management Science and Operations Research (104 citations). Min Jin has collaborated with scholars based in China, United States and South Korea. Frequent co-authors include Pan Zeng, Yajie Meng, Kang Tong, Shengjie Yang, Jiangang Yao, Thanh Long Duong, Xiangxiang Zeng, Changcheng Lu, Jialiang Yang and Manos M. Tentzeris. Their work appears in journals such as Proceedings of the National Academy of Sciences, IEEE Transactions on Industrial Electronics and Journal of Colloid and Interface Science.

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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