Chih‐Wei Chiang

606 total citations
21 papers, 425 citations indexed

About

Chih‐Wei Chiang is a scholar working on Global and Planetary Change, Atmospheric Science and Computer Vision and Pattern Recognition. According to data from OpenAlex, Chih‐Wei Chiang has authored 21 papers receiving a total of 425 indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Global and Planetary Change, 16 papers in Atmospheric Science and 2 papers in Computer Vision and Pattern Recognition. Recurrent topics in Chih‐Wei Chiang's work include Atmospheric aerosols and clouds (16 papers), Atmospheric chemistry and aerosols (15 papers) and Atmospheric Ozone and Climate (12 papers). Chih‐Wei Chiang is often cited by papers focused on Atmospheric aerosols and clouds (16 papers), Atmospheric chemistry and aerosols (15 papers) and Atmospheric Ozone and Climate (12 papers). Chih‐Wei Chiang collaborates with scholars based in Taiwan, India and China. Chih‐Wei Chiang's co-authors include J. B. Nee, Wei‐Nai Chen, Subrata Kumar Das, Huanling Hu, Jia‐Yuh Yu, Ze Wang, Hongchun Jin, Zhongwei Huang, Tse-Lun Chen and Pen‐Chi Chiang and has published in prestigious journals such as SHILAP Revista de lepidopterología, Journal of Geophysical Research Atmospheres and Atmospheric Environment.

In The Last Decade

Chih‐Wei Chiang

20 papers receiving 410 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Chih‐Wei Chiang Taiwan 10 380 360 38 24 17 21 425
Mariana Adam Romania 11 282 0.7× 260 0.7× 36 0.9× 68 2.8× 11 0.6× 31 335
Livio Belegante Romania 10 305 0.8× 292 0.8× 35 0.9× 34 1.4× 18 1.1× 31 358
Boyan Tatarov Japan 12 321 0.8× 321 0.9× 22 0.6× 30 1.3× 29 1.7× 31 371
Markus Garhammer Germany 6 528 1.4× 498 1.4× 20 0.5× 17 0.7× 59 3.5× 6 557
S. Berthier France 8 338 0.9× 337 0.9× 33 0.9× 26 1.1× 17 1.0× 14 373
Brandi McCarty United States 9 393 1.0× 417 1.2× 67 1.8× 13 0.5× 19 1.1× 22 486
Marco Iarlori Italy 6 276 0.7× 258 0.7× 22 0.6× 23 1.0× 8 0.5× 19 320
Guangyao Dai China 11 228 0.6× 190 0.5× 29 0.8× 9 0.4× 10 0.6× 32 256
Constantino Muñoz-Porcar Spain 10 253 0.7× 213 0.6× 33 0.9× 22 0.9× 9 0.5× 45 308
Patrick Selmer United States 9 349 0.9× 298 0.8× 34 0.9× 10 0.4× 37 2.2× 19 383

Countries citing papers authored by Chih‐Wei Chiang

Since Specialization
Citations

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

Fields of papers citing papers by Chih‐Wei Chiang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Chih‐Wei Chiang. 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 Chih‐Wei Chiang. The network helps show where Chih‐Wei Chiang may publish in the future.

Co-authorship network of co-authors of Chih‐Wei Chiang

This figure shows the co-authorship network connecting the top 25 collaborators of Chih‐Wei Chiang. A scholar is included among the top collaborators of Chih‐Wei Chiang 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 Chih‐Wei Chiang. Chih‐Wei Chiang 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
1.
Wang, Ze, et al.. (2020). Development of IoT Technologies for Air Pollution Prevention and Improvement. Aerosol and Air Quality Research. 20(12). 2874–2888. 19 indexed citations
2.
Chiang, Chih‐Wei, et al.. (2020). The Development of Image Capturing System Applied in Shooting Simulator using LabVIEW. 16. 19–30. 1 indexed citations
3.
Huang, Zhongwei, J. B. Nee, Chih‐Wei Chiang, et al.. (2018). Real-Time Observations of Dust–Cloud Interactions Based on Polarization and Raman Lidar Measurements. Remote Sensing. 10(7). 1017–1017. 24 indexed citations
4.
Chen, Wei‐Nai, et al.. (2016). Measurements of Terminal Velocities of Cirrus Clouds in the Upper Trosphere. SHILAP Revista de lepidopterología. 119. 16004–16004. 2 indexed citations
5.
Chiang, Chih‐Wei, et al.. (2015). A new mobile and portable scanning lidar for profiling the lower troposphere. SHILAP Revista de lepidopterología. 4(1). 35–44. 9 indexed citations
6.
Das, Subrata Kumar, Siddarth Shankar Das, Chih‐Wei Chiang, & J. B. Nee. (2013). Descending cirrus associated with planetary scale disturbance: An observational study from lidar, radiosonde and reanalysis data. Journal of Atmospheric and Solar-Terrestrial Physics. 104. 137–147. 2 indexed citations
7.
Chiang, Chih‐Wei, et al.. (2012). Multi-year investigations of aerosol layer using lidar measurements at Chung-Li, Taiwan. Journal of Atmospheric and Solar-Terrestrial Physics. 89. 40–47. 1 indexed citations
8.
Das, Subrata Kumar, Siddarth Shankar Das, Chih‐Wei Chiang, Karanam Kishore Kumar, & J. B. Nee. (2012). Variability in tropopause height and its temperature on different time scales: An observational study over Banqiao, Taiwan. Journal of Atmospheric and Solar-Terrestrial Physics. 81-82. 1–8. 6 indexed citations
9.
Das, Subrata Kumar, Chih‐Wei Chiang, & J. B. Nee. (2011). Influence of tropical easterly jet on upper tropical cirrus: An observational study from CALIPSO, Aura-MLS, and NCEP/NCAR data. Journal of Geophysical Research Atmospheres. 116(D12). 33 indexed citations
10.
Chiang, Chih‐Wei, et al.. (2010). Comparison of CALIPSO and ground-based lidar profiles over Chung-Li, Taiwan. Journal of Quantitative Spectroscopy and Radiative Transfer. 112(2). 197–203. 9 indexed citations
11.
Das, Subrata Kumar, J. B. Nee, & Chih‐Wei Chiang. (2010). A LiDAR study of the effective size of cirrus ice crystals over Chung-Li, Taiwan. Journal of Atmospheric and Solar-Terrestrial Physics. 72(9-10). 781–788. 12 indexed citations
12.
Chiang, Chih‐Wei, Subrata Kumar Das, J. B. Nee, Shunxing Hu, & Huanling Hu. (2009). Simultaneous measurement of humidity and temperature in the lower troposphere over Chung-Li, Taiwan. Journal of Atmospheric and Solar-Terrestrial Physics. 71(12). 1389–1396. 5 indexed citations
13.
Chiang, Chih‐Wei, Subrata Kumar Das, & J. B. Nee. (2008). Lidar depolarization measurements for aerosol source and property studies over Chungli (24.58° N, 121.1° E). Atmospheric Research. 90(2-4). 203–210. 6 indexed citations
14.
Chiang, Chih‐Wei, Subrata Kumar Das, & J. B. Nee. (2007). An iterative calculation to derive extinction-to-backscatter ratio based on lidar measurements. Journal of Quantitative Spectroscopy and Radiative Transfer. 109(7). 1187–1195. 18 indexed citations
15.
Chiang, Chih‐Wei, et al.. (2007). Lidar measurements of Asian dust storms and dust cloud interactions. Journal of Geophysical Research Atmospheres. 112(D15). 24 indexed citations
16.
Chiang, Chih‐Wei, et al.. (2007). Optical properties of tropospheric aerosols based on measurements of lidar, sun-photometer, and visibility at Chung-Li (25°N, 121°E). Atmospheric Environment. 41(19). 4128–4137. 52 indexed citations
17.
Chiang, Chih‐Wei, et al.. (2004). Lidar Measurements of Spring Dusts in 2002 at Chung-Li (25°N, 121°E). Terrestrial Atmospheric and Oceanic Sciences. 15(5). 813–813. 3 indexed citations
19.
Chen, Wei‐Nai, Chih‐Wei Chiang, & J. B. Nee. (2002). Lidar ratio and depolarization ratio for cirrus clouds. Applied Optics. 41(30). 6470–6470. 172 indexed citations
20.
Li, Tsai‐Yen & Chih‐Wei Chiang. (1999). Data Management for Visualizing Large Virtual Environments. 1 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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