Boon Ning Chew

1.3k total citations
18 papers, 627 citations indexed

About

Boon Ning Chew is a scholar working on Global and Planetary Change, Atmospheric Science and Pollution. According to data from OpenAlex, Boon Ning Chew has authored 18 papers receiving a total of 627 indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Global and Planetary Change, 16 papers in Atmospheric Science and 1 paper in Pollution. Recurrent topics in Boon Ning Chew's work include Atmospheric chemistry and aerosols (16 papers), Atmospheric aerosols and clouds (14 papers) and Fire effects on ecosystems (6 papers). Boon Ning Chew is often cited by papers focused on Atmospheric chemistry and aerosols (16 papers), Atmospheric aerosols and clouds (14 papers) and Fire effects on ecosystems (6 papers). Boon Ning Chew collaborates with scholars based in Singapore, United States and Malaysia. Boon Ning Chew's co-authors include Santo V. Salinas, Soo Chin Liew, James R. Campbell, Ellsworth J. Welton, Jeffrey S. Reid, E. J. Hyer, D. M. Giles, Liya E. Yu, B. N. Holben and Simone Lolli and has published in prestigious journals such as SHILAP Revista de lepidopterología, Atmospheric Environment and Atmospheric chemistry and physics.

In The Last Decade

Boon Ning Chew

18 papers receiving 619 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Boon Ning Chew Singapore 14 548 531 133 46 35 18 627
Mona Johnsrud Norway 10 666 1.2× 716 1.3× 107 0.8× 42 0.9× 14 0.4× 16 766
Y. J. Kim South Korea 14 422 0.8× 562 1.1× 280 2.1× 78 1.7× 14 0.4× 23 634
Jinhuan Qiu China 14 554 1.0× 547 1.0× 84 0.6× 48 1.0× 24 0.7× 44 644
M. Ruminski United States 10 446 0.8× 360 0.7× 209 1.6× 79 1.7× 24 0.7× 21 556
Nilton E. Rosário Brazil 11 329 0.6× 284 0.5× 106 0.8× 58 1.3× 23 0.7× 32 420
A. L. Correia Brazil 8 234 0.4× 256 0.5× 75 0.6× 18 0.4× 26 0.7× 21 317
Usman Mazhar China 9 247 0.5× 221 0.4× 129 1.0× 106 2.3× 17 0.5× 15 352
Binita Pathak India 16 715 1.3× 755 1.4× 276 2.1× 119 2.6× 11 0.3× 48 878
José Luís Gómez-Amo Spain 13 403 0.7× 406 0.8× 88 0.7× 74 1.6× 21 0.6× 42 559
B. Abish India 10 466 0.9× 489 0.9× 158 1.2× 53 1.2× 10 0.3× 15 554

Countries citing papers authored by Boon Ning Chew

Since Specialization
Citations

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

Fields of papers citing papers by Boon Ning Chew

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Boon Ning Chew

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

All Works

18 of 18 papers shown
1.
Chew, Boon Ning, Christopher Gan, J. G. Goldammer, et al.. (2021). The WMO vegetation fire and smoke pollution warning advisory and assessment system (VFSP-WAS). SHILAP Revista de lepidopterología. 11(2). 179–201. 3 indexed citations
3.
Hansen, Ayoe Buus, et al.. (2019). Haze in Singapore – source attribution of biomass burning PM 10 from Southeast Asia. Atmospheric chemistry and physics. 19(8). 5363–5385. 27 indexed citations
4.
Lolli, Simone, James R. Campbell, Jasper R. Lewis, et al.. (2017). Daytime Top-of-the-Atmosphere Cirrus Cloud Radiative Forcing Properties at Singapore. Journal of Applied Meteorology and Climatology. 56(5). 1249–1257. 50 indexed citations
5.
Chew, Boon Ning, James R. Campbell, E. J. Hyer, et al.. (2016). Relationship between Aerosol Optical Depth and Particulate Matter over Singapore: Effects of Aerosol Vertical Distributions. Aerosol and Air Quality Research. 16(11). 2818–2830. 31 indexed citations
6.
Reid, Jeffrey S., Peng Xian, B. N. Holben, et al.. (2016). Aerosol meteorology of the Maritime Continent for the 2012 7SEAS southwest monsoon intensive study – Part 1: regional-scale phenomena. Atmospheric chemistry and physics. 16(22). 14041–14056. 20 indexed citations
7.
Gan, Christopher, et al.. (2016). Visibility deterioration and hygroscopic growth of biomass burning aerosols over a tropical coastal city: a case study over Singapore's airport. Atmospheric Science Letters. 17(12). 624–629. 12 indexed citations
8.
Campbell, James R., Cui Ge, Jun Wang, et al.. (2015). Applying Advanced Ground-Based Remote Sensing in the Southeast Asian Maritime Continent to Characterize Regional Proficiencies in Smoke Transport Modeling. Journal of Applied Meteorology and Climatology. 55(1). 3–22. 33 indexed citations
9.
Kim, Patrick S., Daniel J. Jacob, Loretta J. Mickley, et al.. (2014). Sensitivity of population smoke exposure to fire locations in Equatorial Asia. Atmospheric Environment. 102. 11–17. 35 indexed citations
10.
Atwood, Samuel A., Jeffrey S. Reid, Sonia M. Kreidenweis, et al.. (2013). Analysis of source regions for smoke events in Singapore for the 2009 El Nino burning season. Atmospheric Environment. 78. 219–230. 40 indexed citations
11.
Salinas, Santo V., et al.. (2013). First measurements of aerosol optical depth and Angstrom exponent number from AERONET's Kuching site. Atmospheric Environment. 78. 231–241. 18 indexed citations
12.
Chew, Boon Ning, James R. Campbell, Santo V. Salinas, et al.. (2013). Aerosol particle vertical distributions and optical properties over Singapore. Atmospheric Environment. 79. 599–613. 33 indexed citations
13.
Salinas, Santo V., Boon Ning Chew, Jukka Miettinen, et al.. (2012). Physical and optical characteristics of the October 2010 haze event over Singapore: A photometric and lidar analysis. Atmospheric Research. 122. 555–570. 51 indexed citations
14.
Campbell, James R., Jeffrey S. Reid, Douglas L. Westphal, et al.. (2012). Characterizing the vertical profile of aerosol particle extinction and linear depolarization over Southeast Asia and the Maritime Continent: The 2007–2009 view from CALIOP. Atmospheric Research. 122. 520–543. 69 indexed citations
15.
Ge, Cui, et al.. (2011). Mesoscale modeling of smoke transport over the South Asian maritime continent: vertical distributions and topographic effect. AGUFM. 2011. 2 indexed citations
16.
Chew, Boon Ning, James R. Campbell, Jeffrey S. Reid, et al.. (2011). Tropical cirrus cloud contamination in sun photometer data. Atmospheric Environment. 45(37). 6724–6731. 108 indexed citations
17.
Hyer, E. J. & Boon Ning Chew. (2010). Aerosol transport model evaluation of an extreme smoke episode in Southeast Asia. Atmospheric Environment. 44(11). 1422–1427. 66 indexed citations
18.
Salinas, Santo V., Boon Ning Chew, & Soo Chin Liew. (2009). Retrievals of aerosol optical depth and Ångström exponent from ground-based Sun-photometer data of Singapore. Applied Optics. 48(8). 1473–1473. 28 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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