Bryan M. Wong

212 papers receiving 8.9k citations

Hit Papers

Machine Learning: New Ideas and Tools in Environmental Science and Engineering 2021 · 725 citations
7252016202620192022200400600

Peers

Bryan M. Wong
Comparison fields: 5 of 175
  • Environmental Chemistry 1.0k
  • Materials Chemistry 3.3k
  • Polymers and Plastics 988
  • Physical and Theoretical Chemistry 628
  • Inorganic Chemistry 672
Replace James E. Hutchison with:
James E. Hutchison United States
Hong Chen China
Glenn Hefter Australia
Wenchuan Wang China
Agı́lio A. H. Pádua France
Charles A. Eckert United States
Stanley I. Sandler United States
William F. Schneider United States
Hyungjun Kim South Korea
Yanting Wang China
Bryan M. Wong relative to James E. Hutchison United States James E. Hutchison's profile →
Citations per field
00.5×3.0×
James E. Hutchison · 1×
Citations per year

Countries citing papers authored by Bryan M. Wong

Since Specialization
Citations

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

Fields of papers citing papers by Bryan M. Wong

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Bryan M. Wong, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Bryan M. Wong Line = papers co-authored together Bryan M. Wong links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20250
2 20250
3 20241
4 20242
5 20231
6 202345
7 202210
8 202234
9 202213
10 202126
11 202021
12 20208
13 202032
14 202083
15 2020132
16 201985
17 201861
18 201768
19 20163
20
The Assessment of the Aerodynamic Performance of Building-integrated Wind Turbines
20090

About Bryan M. Wong

Bryan M. Wong is a scholar working on Physical and Theoretical Chemistry, Atomic and Molecular Physics, and Optics, Materials Chemistry, Spectroscopy and Environmental Chemistry, having authored 220 papers that have together received 9.1k indexed citations. Recurring topics across this work include Advanced Chemical Physics Studies (29 papers), Spectroscopy and Quantum Chemical Studies (20 papers), Atmospheric chemistry and aerosols (18 papers), Luminescence and Fluorescent Materials (18 papers), Per- and polyfluoroalkyl substances research (16 papers), Molecular Sensors and Ion Detection (15 papers), Molecular Junctions and Nanostructures (11 papers) and Machine Learning in Materials Science (11 papers). The work is most often cited by research in Environmental Chemistry (1.0k citations), Materials Chemistry (3.3k citations), Polymers and Plastics (988 citations), Physical and Theoretical Chemistry (628 citations) and Inorganic Chemistry (672 citations). Bryan M. Wong has collaborated with scholars based in United States, Australia and United Kingdom. Frequent co-authors include Sharma S. R. K. C. Yamijala, Sarah I. Allec, Niranjan V. Ilawe, M. Belén Oviedo, Timothy H. Hsieh, Lihua Xu, Sohag Biswas, Yue Cao, Joseph Gabriel Cordaro and Michael E. Foster. Their work appears in journals such as The Journal of Physical Chemistry C, Journal of Chemical Theory and Computation, The Journal of Physical Chemistry Letters, Physical Chemistry Chemical Physics and The Journal of Chemical Physics.

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