J. Lim

11.3k total citations
3 papers, 3 citations indexed

About

J. Lim is a scholar working on Sociology and Political Science, Artificial Intelligence and Neurology. According to data from OpenAlex, J. Lim has authored 3 papers receiving a total of 3 indexed citations (citations by other indexed papers that have themselves been cited), including 1 paper in Sociology and Political Science, 1 paper in Artificial Intelligence and 1 paper in Neurology. Recurrent topics in J. Lim's work include Delphi Technique in Research (1 paper), Semiconductor Lasers and Optical Devices (1 paper) and Neural Networks and Applications (1 paper). J. Lim is often cited by papers focused on Delphi Technique in Research (1 paper), Semiconductor Lasers and Optical Devices (1 paper) and Neural Networks and Applications (1 paper). J. Lim collaborates with scholars based in China, United States and Malaysia. J. Lim's co-authors include Yifei Tan, Jianmin Zhang, Hanfeng Wang, Kian Ming Lim, Chin Poo Lee, L. Donald, Richard M. Carpiano and Adam C. Carle and has published in prestigious journals such as PLoS ONE.

In The Last Decade

J. Lim

3 papers receiving 3 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
J. Lim China 2 1 1 1 1 3 3
Glen Noonan Australia 2 4 3
V. Lebedynets Ukraine 2 3 2
Alketa Tandili Albania 2 2 2
О. Гришин Russia 2 2 2
Y. Kang South Korea 2 3 2
Grace E. Chesmore United States 2 3 2
T. B. Moore United States 2 2 3
Dmytro Lebedynets Ukraine 2 3 2
J. I. Yi United States 2 4 2
Miroslav Hrabovský Czechia 2 2 2

Countries citing papers authored by J. Lim

Since Specialization
Citations

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

Fields of papers citing papers by J. Lim

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of J. Lim

This figure shows the co-authorship network connecting the top 25 collaborators of J. Lim. A scholar is included among the top collaborators of J. Lim 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 J. Lim. J. Lim is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

3 of 3 papers shown
1.
Lim, J., Adam C. Carle, Richard M. Carpiano, & L. Donald. (2025). Topical fluoride hesitancy and opposition are significantly and positively associated: A cross-sectional study. PLoS ONE. 20(4). e0322027–e0322027. 1 indexed citations
2.
Lim, J., et al.. (2024). Brain Tumor Detection via Transfer Learning and Ensemble Learning. 95–100. 1 indexed citations
3.
Zhang, Jianmin, et al.. (2011). Signal transition structure optimization for 16 Gbps SFP cage and PCB interface. 785–790. 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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