Wei‐Chung Su

902 citations
45 papers · 691 · h-index 17

Impact in

Papers in

Wei‐Chung Su

43 papers receiving 676 citations

Peers

Wei‐Chung Su
Comparison fields: 5 of 97
  • Health, Toxicology and Mutagenesis 177
  • Pulmonary and Respiratory Medicine 361
  • Ocean Engineering 128
  • Pharmaceutical Science 49
  • Environmental Engineering 84
Replace Kuo-Hsi Cheng with:
Kuo-Hsi Cheng United States
Y.S. Cheng United States
Arun V. Kolanjiyil United States
Colin Dickens United Kingdom
Renate Winkler-Heil Austria
Rebecca Segal United States
Edgar Matida Canada
Jacky A. Rosati United States
G. M. Schum United States
František Lízal Czechia
Wei‐Chung Su relative to Kuo-Hsi Cheng United States Kuo-Hsi Cheng's profile →
Citations per field
00.5×4.4×
Kuo-Hsi Cheng · 1×
Citations per year

Countries citing papers authored by Wei‐Chung Su

Since Specialization
Citations

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

Fields of papers citing papers by Wei‐Chung Su

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Wei‐Chung Su, 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 Wei‐Chung Su Line = papers co-authored together Wei‐Chung Su links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 45 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2007107
2 200555
3 200645
4 201536
5 200628
6 200825
7 200723
8 201522
9 200521
10 202021
11 201420
12 202120
13 200820
14 202219
15 201418
16 201917
17 201216
18 200416
19 200415
20 200814

About Wei‐Chung Su

Wei‐Chung Su is a scholar working on Health, Toxicology and Mutagenesis, Pulmonary and Respiratory Medicine, Electrical and Electronic Engineering, Environmental Engineering and Physiology, having authored 45 papers that have together received 691 indexed citations. Recurring topics across this work include Air Quality and Health Impacts (22 papers), Inhalation and Respiratory Drug Delivery (19 papers), Aerosol Filtration and Electrostatic Precipitation (11 papers), Air Quality Monitoring and Forecasting (7 papers), Smoking Behavior and Cessation (6 papers), Infection Control and Ventilation (5 papers), Indoor Air Quality and Microbial Exposure (4 papers) and Noise Effects and Management (4 papers). The work is most often cited by research in Health, Toxicology and Mutagenesis (177 citations), Pulmonary and Respiratory Medicine (361 citations), Ocean Engineering (128 citations), Pharmaceutical Science (49 citations) and Environmental Engineering (84 citations). Wei‐Chung Su has collaborated with scholars based in United States, Russia and China. Frequent co-authors include Yung Sung Cheng, Yung‐Sung Cheng, Maureen D. Donovan, Yue Zhou, Anne Buu, Jinxiang Xi, James H. Vincent, Hsien‐Chang Lin, Pramod Kulkarni and Bon Ki Ku. Their work appears in journals such as Aerosol Science and Technology, Journal of Aerosol Science, Inhalation Toxicology, The Science of The Total Environment and Journal of Exposure Science & Environmental Epidemiology.

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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