Min Jin

1.0k total citations · 1 hit paper
51 papers, 770 citations indexed

About

Min Jin is a scholar working on Electrical and Electronic Engineering, Artificial Intelligence and Molecular Biology. According to data from OpenAlex, Min Jin has authored 51 papers receiving a total of 770 indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Electrical and Electronic Engineering, 12 papers in Artificial Intelligence and 10 papers in Molecular Biology. Recurrent topics in Min Jin's work include Energy Load and Power Forecasting (9 papers), Grey System Theory Applications (6 papers) and Bioinformatics and Genomic Networks (6 papers). Min Jin is often cited by papers focused on Energy Load and Power Forecasting (9 papers), Grey System Theory Applications (6 papers) and Bioinformatics and Genomic Networks (6 papers). Min Jin collaborates with scholars based in China, United States and South Korea. Min Jin's 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 and has published in prestigious journals such as Proceedings of the National Academy of Sciences, IEEE Transactions on Industrial Electronics and Journal of Colloid and Interface Science.

In The Last Decade

Min Jin

46 papers receiving 751 citations

Hit Papers

A weighted bilinear neural collaborative filtering approa... 2022 2026 2023 2024 2022 25 50 75 100
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. A weighted bilinear neural collaborative filtering approach for drug repositioning
    2022 119 citations Yajie Meng, Changcheng Lu et al. Briefings in Bioinformatics profile →

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Min Jin China 13 294 235 159 156 144 51 770
Ali Maroosi Iran 12 196 0.7× 380 1.6× 165 1.0× 56 0.4× 64 0.4× 34 779
Jixiang Cheng China 12 115 0.4× 346 1.5× 44 0.3× 174 1.1× 285 2.0× 37 677
Juana L. Redondo Spain 17 149 0.5× 200 0.9× 191 1.2× 31 0.2× 105 0.7× 71 782
Hongjie Wu China 19 885 3.0× 84 0.4× 76 0.5× 374 2.4× 197 1.4× 105 1.7k
Dongyuan Shi China 19 616 2.1× 790 3.4× 588 3.7× 37 0.2× 170 1.2× 35 1.4k
Carmen Del Vecchio Italy 18 428 1.5× 59 0.3× 61 0.4× 304 1.9× 123 0.9× 67 1.1k
Shounak Datta India 13 180 0.6× 446 1.9× 42 0.3× 23 0.1× 41 0.3× 21 756
Xiaojia Ye China 13 85 0.3× 525 2.2× 165 1.0× 22 0.1× 155 1.1× 15 855

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
1.
Wang, Xiao, et al.. (2025). A circuit model for transsaccadic space updating and mislocalization. Proceedings of the National Academy of Sciences. 122(21). e2422911122–e2422911122. 2 indexed citations
2.
Jin, Min, et al.. (2025). Forward and convergent remapping of receptive fields from local field potentials in frontal eye fields. Communications Biology. 8(1). 921–921.
3.
Jin, Min, Xiaotang Yang, Xuesheng Wang, & Zhijie Zhang. (2024). UV–visible-infrared light driven photothermal synergistic catalytic reduction of CO2 over Cs3Bi2Br9/MoS2 S-scheme photocatalyst. Journal of Colloid and Interface Science. 680(Pt B). 235–245. 10 indexed citations
4.
5.
Zhang, Cong, Lin Yang, Min Jin, et al.. (2024). Perisaccadic and attentional remapping of receptive fields in lateral intraparietal area and frontal eye fields. Cell Reports. 43(3). 113820–113820. 3 indexed citations
6.
Yang, Lin, Min Jin, Cong Zhang, Ning Qian, & Mingsha Zhang. (2023). Distributions of Visual Receptive Fields from Retinotopic to Craniotopic Coordinates in the Lateral Intraparietal Area and Frontal Eye Fields of the Macaque. Neuroscience Bulletin. 40(2). 171–181. 3 indexed citations
7.
Yu, Weijun, Min Jin, Xiaoqing Shang, et al.. (2022). Mechanobiologically optimized Ti–35Nb–2Ta–3Zr improves load transduction and enhances bone remodeling in tilted dental implant therapy. Bioactive Materials. 16. 15–26. 34 indexed citations
8.
Meng, Yajie, et al.. (2022). A weighted bilinear neural collaborative filtering approach for drug repositioning. Briefings in Bioinformatics. 23(2). 119 indexed citations breakdown →
9.
Meng, Yajie, Min Jin, Xianfang Tang, & Junlin Xu. (2021). Drug repositioning based on similarity constrained probabilistic matrix factorization: COVID-19 as a case study. Applied Soft Computing. 103. 107135–107135. 53 indexed citations
10.
11.
Meng, Yajie & Min Jin. (2021). HFS-SLPEE: A Novel Hierarchical Feature Selection and Second Learning Probability Error Ensemble Model for Precision Cancer Diagnosis. Frontiers in Cell and Developmental Biology. 9. 696359–696359. 4 indexed citations
12.
Tong, Kang, Jiangang Yao, Min Jin, Shengjie Yang, & Thanh Long Duong. (2018). A Novel Improved Cuckoo Search Algorithm for Parameter Estimation of Photovoltaic (PV) Models. Energies. 11(5). 1060–1060. 168 indexed citations
13.
Liu, Bin, Min Jin, & Pan Zeng. (2015). Prioritization of candidate disease genes by combining topological similarity and semantic similarity. Journal of Biomedical Informatics. 57. 1–5. 14 indexed citations
14.
Zhu, Chun & Min Jin. (2009). An anycast routing algorithm based on genetic algorithm. WSEAS Transactions on Computers archive. 8(1). 113–122. 2 indexed citations
15.
Zhang, Zhiming & Min Jin. (2009). Research on Short-Term Electrical Load Forecasting Based on Optimized Combination Model of Grey Correlation Segmentation. Diangong Jishu Xuebao. 24(6). 115–120. 2 indexed citations
16.
Jin, Min, Qin Wang, & Lifeng Xi. (2008). Research and implementation on genetic algorithms for graph fitness optimization. WSEAS TRANSACTIONS on SYSTEMS archive. 7(4). 321–331. 1 indexed citations
17.
Jin, Min, et al.. (2008). The Design and Implementation of Embedded Configuration Software Based on Embedded-Linux. 29. 98–101. 2 indexed citations
18.
Yu, F. Richard, et al.. (2008). Anchor Node Based Virtual Modeling of Holes in Wireless Sensor Networks. 3120–3124. 8 indexed citations
19.
Jin, Min, et al.. (2004). Design of a Storage System for XML Documents using Relational Databases. Journal of Korea Multimedia Society. 7(1). 1–11. 3 indexed citations
20.
Jin, Min. (2001). Braking Moment and Oil Pressure of a Mine Hoist. 1 indexed citations

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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