Kaufui V. Wong

5.2k citations
112 papers · 3.9k indexed · 2 hit papers · h-index 21

Kaufui V. Wong

108 papers receiving 3.7k citations

Hit Papers

A Review of Additive Manufacturing20102026201520202012201050010001.5k

Peers

Kaufui V. Wong
Comparison fields: 5 of 157
  • Mechanical Engineering 1.8k
  • Biomedical Engineering 1.6k
  • Automotive Engineering 1.4k
  • Computational Mechanics 591
  • Industrial and Manufacturing Engineering 431
Replace Imtiaz Ahmed Choudhury with:
Imtiaz Ahmed Choudhury Malaysia
Florian Ion Tiberiu Petrescu Romania
Abdul Hai Alami United Arab Emirates
S. Ahzi France
Scott Samuelsen United States
Yongzhen Wang China
Alessandro Franco Italy
Enrico Sciubba Italy
Ahmad Baroutaji United Kingdom
Kaufui V. Wong relative to Imtiaz Ahmed Choudhury Malaysia Imtiaz Ahmed Choudhury's profile →
Citations per field
00.5×4.9×
Imtiaz Ahmed Choudhury · 1×
Citations per year

Countries citing papers authored by Kaufui V. Wong

Since Specialization
Citations

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

Fields of papers citing papers by Kaufui V. Wong

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Kaufui V. Wong. 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 Kaufui V. Wong. The network helps show where Kaufui V. Wong may publish in the future.

Co-authorship network of co-authors of Kaufui V. Wong

This figure shows the co-authorship network connecting the top 25 collaborators of Kaufui V. Wong. A scholar is included among the top collaborators of Kaufui V. Wong 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 Kaufui V. Wong. Kaufui V. Wong 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
#WorkIndexed citations
1 0
2 1
3
CONSUMPTION OF RED MEAT AND ITS POSSIBLE ROLE IN THE ETIOLOGY OF COLORECTAL CANCER
4
4
Nutritional Practices and Predisposition towards Aggression in Homo sapiens
0
5 16
6 2
7 1
8 4
9 2
10 1
11 61
12
Applications of Nanofluids: Current and Futurebreakdown →
918
13 57
14 91
15 5
16 2
17 4
18 1
19 3
20
Transport of heavy metal pollutants
2

About Kaufui V. Wong

Kaufui V. Wong is a scholar working on Energy Engineering and Power Technology, General Energy and Renewable Energy, Sustainability and the Environment, having authored 112 papers that have together received 3.9k indexed citations. Recurring topics across this work include Water-Energy-Food Nexus Studies (9 papers), Oil Spill Detection and Mitigation (8 papers) and Fluid Dynamics Simulations and Interactions (7 papers). The work is most often cited by research in Automotive Engineering (1.4k citations), Mechanical Engineering (1.8k citations) and Industrial and Manufacturing Engineering (431 citations). Kaufui V. Wong has collaborated with scholars based in United States, Finland and Australia. Frequent co-authors include Aldo Hernandez, Alireza Aslani, A. Rashid A. Aziz, Marja Naaranoja, R. Chan, Erkki Antila, S. Sengupta, S. A. Sherif, James C. Johnston and Bradley L. Bon. Their work appears in journals such as Renewable and Sustainable Energy Reviews, Chemical Engineering Journal and International Journal of Heat and Mass Transfer.

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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