Vun Jack Chin

1.2k total citations · 1 hit paper
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 983 citations

Hit Papers

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

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Vun Jack Chin Malaysia 8 889 683 446 53 45 10 1.0k
Alivarani Mohapatra India 14 709 0.8× 416 0.6× 522 1.2× 118 2.2× 44 1.0× 44 835
Mustapha Elyaqouti Morocco 15 546 0.6× 411 0.6× 246 0.6× 30 0.6× 28 0.6× 56 643
Metin Çolak Türkiye 7 603 0.7× 325 0.5× 492 1.1× 86 1.6× 84 1.9× 17 760
B. Chitti Babu India 16 469 0.5× 261 0.4× 589 1.3× 272 5.1× 91 2.0× 68 809
Giovanna Adinolfi Italy 15 368 0.4× 222 0.3× 504 1.1× 132 2.5× 36 0.8× 47 683
Xiankun Gao China 8 428 0.5× 356 0.5× 233 0.5× 18 0.3× 14 0.3× 12 519
Patrizio Manganiello Netherlands 15 486 0.5× 214 0.3× 477 1.1× 88 1.7× 26 0.6× 46 673
Mostefa Kermadi Malaysia 17 633 0.7× 343 0.5× 661 1.5× 254 4.8× 118 2.6× 52 950
Juan David Bastidas‐Rodríguez Colombia 16 673 0.8× 334 0.5× 577 1.3× 141 2.7× 21 0.5× 54 814
Ahmad H. Besheer Egypt 12 276 0.3× 152 0.2× 265 0.6× 125 2.4× 36 0.8× 32 453

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

10 of 10 papers shown
1.
Chin, Vun Jack, et al.. (2025). Accurate diagnosis of concurrent faults in photovoltaic systems using CONMI-based feature selection and Support vector machines. Energy Conversion and Management. 344. 120293–120293.
2.
Kermadi, Mostefa, Vun Jack Chin, Saad Mekhilef, & Zainal Salam. (2020). A fast and accurate generalized analytical approach for PV arrays modeling under partial shading conditions. Solar Energy. 208. 753–765. 39 indexed citations
3.
Chin, Vun Jack & Zainal Salam. (2019). A New Three-point-based Approach for the Parameter Extraction of Photovoltaic Cells. Applied Energy. 237. 519–533. 85 indexed citations
4.
Chin, Vun Jack & Zainal Salam. (2019). Coyote optimization algorithm for the parameter extraction of photovoltaic cells. Solar Energy. 194. 656–670. 112 indexed citations
5.
Chin, Vun Jack & Zainal Salam. (2018). Modifications to Accelerate the Iterative Algorithm for the Two-diode Model of PV Module. 200–205. 7 indexed citations
6.
Chin, Vun Jack, Zainal Salam, & Kashif Ishaque. (2017). An Accurate and Fast Computational Algorithm for the Two-diode Model of PV Module Based on a Hybrid Method. IEEE Transactions on Industrial Electronics. 64(8). 6212–6222. 75 indexed citations
7.
Chin, Vun Jack, Zainal Salam, & Kashif Ishaque. (2016). An accurate modelling of the two-diode model of PV module using a hybrid solution based on differential evolution. Energy Conversion and Management. 124. 42–50. 128 indexed citations
8.
Chin, Vun Jack, Zainal Salam, & Kashif Ishaque. (2015). Cell modelling and model parameters estimation techniques for photovoltaic simulator application: A review. Applied Energy. 154. 500–519. 536 indexed citations breakdown →
9.
Chin, Vun Jack, Zainal Salam, & Kashif Ishaque. (2015). An improved method to estimate the parameters of the single diode model of photovoltaic module using differential evolution. 1–6. 15 indexed citations
10.
Chin, Vun Jack, Zainal Salam, & Kashif Ishaque. (2015). An accurate two diode model computation for CIS thin film PV module using the hybrid approach. 1–6. 16 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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