Vun Jack Chin

9 papers receiving 983 citations

Hit Papers

Cell modelling and model parameters estimation techniques...20152026201820222015100200300400500

Peers

Vun Jack Chin
Comparison fields: 5 of 47
  • Renewable Energy, Sustainability and the Environment 889
  • Artificial Intelligence 683
  • Electrical and Electronic Engineering 446
  • Control and Systems Engineering 53
  • Energy Engineering and Power Technology 45
Replace Alivarani Mohapatra with:
Alivarani Mohapatra India
Mustapha Elyaqouti Morocco
Metin Çolak Türkiye
B. Chitti Babu India
Giovanna Adinolfi Italy
Patrizio Manganiello Netherlands
Mostefa Kermadi Malaysia
Xiankun Gao China
Mutlu Boztepe Türkiye
Ahmad H. Besheer Egypt
Vun Jack Chin relative to Alivarani Mohapatra India Alivarani Mohapatra's profile →
Citations per field
00.5×2.6×
Alivarani Mohapatra · 1×
Citations per year

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
#WorkIndexed citations
1 0
2 39
3 112
4 85
5 7
6 75
7 128
8
Cell modelling and model parameters estimation techniques for photovoltaic simulator application: A reviewbreakdown →
536
9 15
10 16

About Vun Jack Chin

Vun Jack Chin is a scholar working on Renewable Energy, Sustainability and the Environment, Artificial Intelligence and Industrial and Manufacturing Engineering, having authored 10 papers that have together received 1.0k indexed citations. Recurring topics across this work include Photovoltaic System Optimization Techniques (10 papers), Solar Thermal and Photovoltaic Systems (9 papers) and solar cell performance optimization (5 papers). The work is most often cited by research in Renewable Energy, Sustainability and the Environment (889 citations), Artificial Intelligence (683 citations) and Energy Engineering and Power Technology (45 citations). Vun Jack Chin has collaborated with scholars based in Malaysia, Pakistan and Australia. Frequent co-authors include Zainal Salam, Kashif Ishaque, Zainal Salam, Saad Mekhilef, Mostefa Kermadi and Lenin Gopal. Their work appears in journals such as IEEE Transactions on Industrial Electronics, Applied Energy and Energy Conversion and Management.

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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026