Li‐Shan Huang
- Health, Toxicology and Mutagenesis top 0.5%
- Statistics and Probability top 1%
- Electrical and Electronic Engineering top 10%
- Nutrition and Dietetics top 5%
- Environmental Engineering top 5%
- Co-authors
- Christopher CoxPeter HallGary J. MyersConrad F. ShamlayeThomas W. ClarksonPhilip W. DavidsonJean Sloane-ReevesElsa Cernichiari
- Topics
- Air Quality and Health Impacts (19 papers)Statistical Methods and Inference (16 papers)Mercury impact and mitigation studies (14 papers)
- Cited by
- Health, Toxicology and MutagenesisStatistics and ProbabilityEnergy Engineering and Power Technology
- Partner nations
- United StatesChinaSeychelles
In The Last Decade
Li‐Shan Huang
92 papers receiving 3.5k citations
Peers
Comparison fields: 5 of 184
- Health, Toxicology and Mutagenesis 1.5k
- Statistics and Probability 367
- Electrical and Electronic Engineering 332
- Nutrition and Dietetics 246
- Environmental Engineering 229
Countries citing papers authored by Li‐Shan Huang
This map shows the geographic impact of Li‐Shan Huang'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 Li‐Shan Huang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Li‐Shan Huang more than expected).
Fields of papers citing papers by Li‐Shan Huang
This network shows the impact of papers produced by Li‐Shan Huang. 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 Li‐Shan Huang. The network helps show where Li‐Shan Huang may publish in the future.
Co-authorship network of co-authors of Li‐Shan Huang
This figure shows the co-authorship network connecting the top 25 collaborators of Li‐Shan Huang. A scholar is included among the top collaborators of Li‐Shan Huang 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 Li‐Shan Huang. Li‐Shan Huang is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 0 | |
| 3 | 0 | |
| 4 | 0 | |
| 5 | 2 | |
| 6 | 1 | |
| 7 | 1 | |
| 8 | 2 | |
| 9 | 3 | |
| 10 | 31 | |
| 11 | 81 | |
| 12 | 33 | |
| 13 | 66 | |
| 14 | 174 | |
| 15 | 62 | |
| 16 | 58 | |
| 17 | 121 | |
| 18 | 30 | |
| 19 | UNIMODAL DENSITY ESTIMATION USING KERNEL METHODS | 22 |
| 20 | A study of variable bandwidth selection for local polynomial regression | 75 |
About Li‐Shan Huang
Li‐Shan Huang is a scholar working on Statistics and Probability, Health, Toxicology and Mutagenesis and Speech and Hearing, having authored 98 papers that have together received 3.6k indexed citations. Recurring topics across this work include Air Quality and Health Impacts (19 papers), Statistical Methods and Inference (16 papers) and Mercury impact and mitigation studies (14 papers). The work is most often cited by research in Health, Toxicology and Mutagenesis (1.5k citations), Statistics and Probability (367 citations) and Energy Engineering and Power Technology (72 citations). Li‐Shan Huang has collaborated with scholars based in United States, China and Seychelles. Frequent co-authors include Christopher Cox, Peter Hall, Gary J. Myers, Conrad F. Shamlaye, Thomas W. Clarkson, Philip W. Davidson, Jean Sloane-Reeves, Elsa Cernichiari, Jianqing Fan and Mark W. Frampton. Their work appears in journals such as The Lancet, Journal of the American Statistical Association and PLoS ONE.
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.