Vun Jack Chin

17 total papers · 1.2k total citations
10 papers, 1.0k citations indexed

About

Vun Jack Chin is a scholar working on Renewable Energy, Sustainability and the Environment, Artificial Intelligence and Electrical and Electronic Engineering. According to data from OpenAlex, Vun Jack Chin has authored 10 papers receiving a total of 1.0k indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Renewable Energy, Sustainability and the Environment, 5 papers in Artificial Intelligence and 5 papers in Electrical and Electronic Engineering. Recurrent topics in Vun Jack Chin's work include Photovoltaic System Optimization Techniques (10 papers), Solar Thermal and Photovoltaic Systems (9 papers) and solar cell performance optimization (5 papers). Vun Jack Chin is often cited by papers focused on Photovoltaic System Optimization Techniques (10 papers), Solar Thermal and Photovoltaic Systems (9 papers) and solar cell performance optimization (5 papers). Vun Jack Chin collaborates with scholars based in Malaysia, Pakistan and Australia. Vun Jack Chin's co-authors include Zainal Salam, Kashif Ishaque, Zainal Salam, Saad Mekhilef, Mostefa Kermadi and Lenin Gopal and has published in prestigious journals such as IEEE Transactions on Industrial Electronics, Applied Energy and Energy Conversion and Management.

In The Last Decade

Vun Jack Chin

9 papers receiving 979 citations

Hit Papers

Cell modelling and model ... 2015 2026 2018 2022 2015 100 200 300 400 500

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Vun Jack Chin 884 683 442 53 45 10 1.0k
Lian Lian Jiang 794 0.9× 539 0.8× 536 1.2× 79 1.5× 29 0.6× 14 913
Mojgan Hojabri 514 0.6× 333 0.5× 531 1.2× 190 3.6× 36 0.8× 32 832
Heshan Wang 592 0.7× 773 1.1× 276 0.6× 80 1.5× 38 0.8× 28 1.2k
Mahmoud Dhimish 804 0.9× 428 0.6× 544 1.2× 129 2.4× 33 0.7× 14 987
Hans S. Rauschenbach 616 0.7× 191 0.3× 922 2.1× 48 0.9× 29 0.6× 12 1.2k
Alivarani Mohapatra 698 0.8× 410 0.6× 514 1.2× 116 2.2× 44 1.0× 43 817
Azadeh Safari 888 1.0× 422 0.6× 794 1.8× 178 3.4× 77 1.7× 12 1.1k
Aboubakr El Hammoumi 835 0.9× 502 0.7× 597 1.4× 154 2.9× 80 1.8× 24 1.1k
Dhiaa Halboot Muhsen 573 0.6× 462 0.7× 291 0.7× 104 2.0× 156 3.5× 29 826
Luyao Liu 464 0.5× 384 0.6× 501 1.1× 81 1.5× 123 2.7× 29 885

Countries citing papers authored by Vun Jack Chin

Since Specialization
Citations

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

Fields of papers citing papers by Vun Jack Chin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Vun Jack Chin. 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 Vun Jack Chin. The network helps show where Vun Jack Chin may publish in the future.

Co-authorship network of co-authors of Vun Jack Chin

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

All Works

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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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