Alex K. Chew

1.1k citations
22 papers · 801 indexed · h-index 13
Topics
Machine Learning in Materials Science (6 papers)Gold and Silver Nanoparticles Synthesis and Applications (5 papers)Catalysis for Biomass Conversion (5 papers)
Partner nations
United StatesChinaIndia

In The Last Decade

Alex K. Chew

21 papers receiving 779 citations

Peers

Alex K. Chew
Comparison fields: 5 of 85
  • Biomedical Engineering 272
  • Materials Chemistry 234
  • Industrial and Manufacturing Engineering 171
  • Pollution 160
  • Biomaterials 141
Replace Ivan A. Konstantinov with:
Ivan A. Konstantinov United States
Jiayi Fu China
Minghui Liu China
Yufang Wu China
Rilong Zhu China
Rohit Srivastava India
Yujie Shi China
Ruiqi Zhang China
Haoyun Chen China
Yuzhen Li China
Alex K. Chew relative to Ivan A. Konstantinov United States Ivan A. Konstantinov's profile →
Citations per field
00.5×3.6×
Ivan A. Konstantinov · 1×
Citations per year

Countries citing papers authored by Alex K. Chew

Since Specialization
Citations

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

Fields of papers citing papers by Alex K. Chew

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Alex K. Chew. 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 Alex K. Chew. The network helps show where Alex K. Chew may publish in the future.

Co-authorship network of co-authors of Alex K. Chew

This figure shows the co-authorship network connecting the top 25 collaborators of Alex K. Chew. A scholar is included among the top collaborators of Alex K. Chew 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 Alex K. Chew. Alex K. Chew 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 2
2 40
3 3
4 5
5 13
6 0
7 11
8 11
9 29
10 34
11 28
12 275
13 30
14 16
15 54
16 15
17 133
18 23
19 65
20 2

About Alex K. Chew

Alex K. Chew is a scholar working on Electronic, Optical and Magnetic Materials, Catalysis and Materials Chemistry, having authored 22 papers that have together received 801 indexed citations. Recurring topics across this work include Machine Learning in Materials Science (6 papers), Gold and Silver Nanoparticles Synthesis and Applications (5 papers) and Catalysis for Biomass Conversion (5 papers). The work is most often cited by research in Industrial and Manufacturing Engineering (171 citations), Pollution (160 citations) and Biomaterials (141 citations). Alex K. Chew has collaborated with scholars based in United States, China and India. Frequent co-authors include Reid C. Van Lehn, James A. Dumesic, Theodore W. Walker, George W. Huber, Zhizhang Shen, Min Soo Kim, Benginur Demir, Huixiang Li, Z. Conrad Zhang and Steven W. Magennis. Their work appears in journals such as ACS Nano, Energy & Environmental Science and Chemistry of Materials.

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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