Chun‐Fai Ng

706 total citations
21 papers, 637 citations indexed

About

Chun‐Fai Ng is a scholar working on Organic Chemistry, Materials Chemistry and Biomaterials. According to data from OpenAlex, Chun‐Fai Ng has authored 21 papers receiving a total of 637 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Organic Chemistry, 8 papers in Materials Chemistry and 5 papers in Biomaterials. Recurrent topics in Chun‐Fai Ng's work include Synthesis and Properties of Aromatic Compounds (6 papers), Supramolecular Chemistry and Complexes (5 papers) and Supramolecular Self-Assembly in Materials (5 papers). Chun‐Fai Ng is often cited by papers focused on Synthesis and Properties of Aromatic Compounds (6 papers), Supramolecular Chemistry and Complexes (5 papers) and Supramolecular Self-Assembly in Materials (5 papers). Chun‐Fai Ng collaborates with scholars based in Hong Kong, China and Germany. Chun‐Fai Ng's co-authors include Hak‐Fun Chow, Dietmar Kuck, Thomas C. W. Mak, Ming Chu, Huanli Dong, Shuaijun Yang, Jian‐Xun Fan, Dan Liu, Ai‐Min Ren and Qian Miao and has published in prestigious journals such as Journal of the American Chemical Society, Advanced Materials and Angewandte Chemie International Edition.

In The Last Decade

Chun‐Fai Ng

21 papers receiving 631 citations

Peers

Chun‐Fai Ng
Comparison fields: 5 of 77
  • Electrical and Electronic Engineering 292
  • Materials Chemistry 259
  • Organic Chemistry 205
  • Polymers and Plastics 119
  • Molecular Biology 73
Replace James B. Derr with:
James B. Derr United States
Daniel Lumpi Austria
Lluís Fajarí Spain
Paul Hume New Zealand
Efe Baturhan Orman Türkiye
Rodrigo da Costa Duarte Brazil
Yongqiang Ma China
Gülbin Kurtay Türkiye
Nelly Mateeva United States
Wei‐Chih Chao Taiwan
James B. Derr United States View profile →
Citations per field, relative to Chun‐Fai Ng
Chun‐Fai Ng · 1×
Citations per year, relative to Chun‐Fai Ng
Chun‐Fai Ng · 1×

Countries citing papers authored by Chun‐Fai Ng

Since Specialization
Citations

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

Fields of papers citing papers by Chun‐Fai Ng

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Chun‐Fai Ng. 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 Chun‐Fai Ng. The network helps show where Chun‐Fai Ng may publish in the future.

Co-authorship network of co-authors of Chun‐Fai Ng

This figure shows the co-authorship network connecting the top 25 collaborators of Chun‐Fai Ng. A scholar is included among the top collaborators of Chun‐Fai Ng 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 Chun‐Fai Ng. Chun‐Fai Ng 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
# Work Indexed citations
1 3
2 4
3 13
4 173
5 34
6 29
7 12
8 5
9 18
10 14
11 34
12 18
13 97
14 26
15 29
16 24
17 5
18 60
19 23
20 4

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