Wai‐Shing Wong

753 total citations · 1 hit paper
11 papers, 578 citations indexed

About

Wai‐Shing Wong is a scholar working on Organic Chemistry, Materials Chemistry and Molecular Biology. According to data from OpenAlex, Wai‐Shing Wong has authored 11 papers receiving a total of 578 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Organic Chemistry, 7 papers in Materials Chemistry and 2 papers in Molecular Biology. Recurrent topics in Wai‐Shing Wong's work include Synthesis and Properties of Aromatic Compounds (8 papers), Luminescence and Fluorescent Materials (3 papers) and Graphene research and applications (2 papers). Wai‐Shing Wong is often cited by papers focused on Synthesis and Properties of Aromatic Compounds (8 papers), Luminescence and Fluorescent Materials (3 papers) and Graphene research and applications (2 papers). Wai‐Shing Wong collaborates with scholars based in Germany, Hong Kong and China. Wai‐Shing Wong's co-authors include Marcin Stępień, Yogesh Kumar Maurya, Marika Żyła‐Karwowska, Liliia Moshniaha, Arseni Borissov, Hak‐Fun Chow, Dietmar Kuck, Chun‐Fai Ng, Yuke Li and Zhifeng Liu and has published in prestigious journals such as Nature, Chemical Reviews and Angewandte Chemie International Edition.

In The Last Decade

Wai‐Shing Wong

9 papers receiving 575 citations

Hit Papers

Recent Advances in Heterocyclic Nanographenes and Other P... 2021 2026 2022 2024 2021 100 200 300 400

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Wai‐Shing Wong Germany 8 442 339 134 41 40 11 578
Liliia Moshniaha Poland 6 413 0.9× 330 1.0× 133 1.0× 41 1.0× 39 1.0× 8 547
Martin B. Minameyer Germany 11 429 1.0× 373 1.1× 145 1.1× 25 0.6× 26 0.7× 13 588
Sean P. McClintock United States 11 494 1.1× 202 0.6× 195 1.5× 35 0.9× 41 1.0× 13 613
Janice B. Lin United States 11 258 0.6× 192 0.6× 148 1.1× 24 0.6× 53 1.3× 12 416
Asami Yoshii Japan 9 379 0.9× 293 0.9× 113 0.8× 37 0.9× 16 0.4× 13 492
Philipp Haines Germany 17 390 0.9× 563 1.7× 149 1.1× 25 0.6× 33 0.8× 25 779
Chaolumen Chaolumen Japan 10 426 1.0× 285 0.8× 142 1.1× 15 0.4× 24 0.6× 22 512
Rafael M. Krick Calderón Germany 12 254 0.6× 334 1.0× 118 0.9× 25 0.6× 38 0.9× 15 447
Khushabu Thakur United States 9 266 0.6× 185 0.5× 152 1.1× 22 0.5× 66 1.6× 15 457
Qin Xiang China 13 250 0.6× 298 0.9× 135 1.0× 32 0.8× 44 1.1× 30 501

Countries citing papers authored by Wai‐Shing Wong

Since Specialization
Citations

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

Fields of papers citing papers by Wai‐Shing Wong

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Wai‐Shing 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 Wai‐Shing Wong. The network helps show where Wai‐Shing Wong may publish in the future.

Co-authorship network of co-authors of Wai‐Shing Wong

This figure shows the co-authorship network connecting the top 25 collaborators of Wai‐Shing Wong. A scholar is included among the top collaborators of Wai‐Shing 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 Wai‐Shing Wong. Wai‐Shing Wong is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

11 of 11 papers shown
1.
Jia, Yankai, et al.. (2025). Robot-assisted mapping of chemical reaction hyperspaces and networks. Nature. 645(8082). 922–931.
2.
Wong, Wai‐Shing, et al.. (2025). Robot‐Assisted Reconstruction and Control of the Pechmann Reaction Network. Angewandte Chemie International Edition. 65(6). e18394–e18394.
3.
Wong, Wai‐Shing & Marcin Stępień. (2022). Emerging applications of curved aromatic compounds. Trends in Chemistry. 4(7). 573–576. 24 indexed citations
4.
Borissov, Arseni, Yogesh Kumar Maurya, Liliia Moshniaha, et al.. (2021). Recent Advances in Heterocyclic Nanographenes and Other Polycyclic Heteroaromatic Compounds. Chemical Reviews. 122(1). 565–788. 460 indexed citations breakdown →
5.
Wong, Wai‐Shing, et al.. (2021). A helically twisted ribbon-shaped nanographene constructed around a fenestrindane core. Organic Chemistry Frontiers. 8(20). 5837–5846. 9 indexed citations
6.
Ng, Chun‐Fai, et al.. (2020). Nonplanar Nanographenes Based on Tribenzotriquinacene or Fenestrindane Core. Chinese Journal of Organic Chemistry. 40(10). 3017–3017. 4 indexed citations
7.
Lin, Tsung‐Chih, et al.. (2020). Identifier based intelligent blood glucose concentration regulation for type 1 diabetic patients: An adaptive fuzzy approach. Journal of Intelligent & Fuzzy Systems. 38(5). 6175–6184. 8 indexed citations
9.
Wong, Wai‐Shing, et al.. (2018). Enantiopure Aromatic Saddles Bearing the Fenestrindane Core. The Journal of Organic Chemistry. 84(2). 869–878. 10 indexed citations
10.
Wong, Wai‐Shing, Chun‐Fai Ng, Dietmar Kuck, & Hak‐Fun Chow. (2017). Auf dem Weg vom Fenestrindan zu sattelförmigen Nanographenen mit einem tetrakoordinierten Kohlenstoff‐Atom. Angewandte Chemie. 129(40). 12528–12532. 18 indexed citations
11.
Wong, Wai‐Shing, Chun‐Fai Ng, Dietmar Kuck, & Hak‐Fun Chow. (2017). From Fenestrindane towards Saddle‐Shaped Nanographenes Bearing a Tetracoordinate Carbon Atom. Angewandte Chemie International Edition. 56(40). 12356–12360. 34 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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