Li‐Shan Huang

5.4k total citations
98 papers, 3.6k citations indexed

About

Li‐Shan Huang is a scholar working on Health, Toxicology and Mutagenesis, Statistics and Probability and Artificial Intelligence. According to data from OpenAlex, Li‐Shan Huang has authored 98 papers receiving a total of 3.6k indexed citations (citations by other indexed papers that have themselves been cited), including 25 papers in Health, Toxicology and Mutagenesis, 20 papers in Statistics and Probability and 12 papers in Artificial Intelligence. Recurrent topics in Li‐Shan Huang's work include Air Quality and Health Impacts (19 papers), Statistical Methods and Inference (16 papers) and Mercury impact and mitigation studies (14 papers). Li‐Shan Huang is often cited by papers focused on Air Quality and Health Impacts (19 papers), Statistical Methods and Inference (16 papers) and Mercury impact and mitigation studies (14 papers). Li‐Shan Huang collaborates with scholars based in United States, China and Taiwan. Li‐Shan Huang's 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 David Chalupa and has published in prestigious journals such as The Lancet, Journal of the American Statistical Association and PLoS ONE.

In The Last Decade

Li‐Shan Huang

92 papers receiving 3.5k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Li‐Shan Huang United States 33 1.5k 367 332 246 229 98 3.6k
Jeff Goldsmith United States 34 460 0.3× 602 1.6× 30 0.1× 75 0.3× 97 0.4× 134 3.8k
William Navidi United States 35 1.1k 0.7× 167 0.5× 486 1.5× 22 0.1× 268 1.2× 88 4.9k
Pascal Wild France 36 1.6k 1.1× 750 2.0× 46 0.1× 90 0.4× 207 0.9× 233 5.3k
Matthias Schmid Germany 42 111 0.1× 773 2.1× 86 0.3× 194 0.8× 182 0.8× 321 6.6k
Gavin Shaddick United Kingdom 37 1.4k 1.0× 132 0.4× 160 0.5× 17 0.1× 588 2.6× 110 4.0k
D. Coomans Belgium 33 206 0.1× 137 0.4× 41 0.1× 80 0.3× 90 0.4× 128 3.4k
Yongzhao Shao United States 30 1.0k 0.7× 334 0.9× 28 0.1× 34 0.1× 258 1.1× 170 4.1k
Kurt Ulm Germany 49 128 0.1× 297 0.8× 46 0.1× 64 0.3× 57 0.2× 167 9.8k
Xinyi Lin China 29 234 0.2× 50 0.1× 218 0.7× 49 0.2× 55 0.2× 115 2.6k
Júlio M. Singer Brazil 26 635 0.4× 555 1.5× 27 0.1× 23 0.1× 148 0.6× 126 3.2k

Countries citing papers authored by Li‐Shan Huang

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

20 of 20 papers shown
1.
Huang, Li‐Shan, et al.. (2025). Molecular mechanism of ZC3H13 -mediated ferroptosis in doxorubicin resistance of triple negative breast cancer. Cell Biology and Toxicology. 41(1). 52–52. 3 indexed citations
2.
Huang, Li‐Shan, Xi Yu, Shengwei Deng, et al.. (2025). Rational design of nitrogen-doped mesoporous carbon nanotube-bridged hollow NiCo-LDH polyhedrons as high-performance electrodes for supercapacitors. Chemical Engineering Journal. 526. 171222–171222.
3.
Huang, Li‐Shan, Xiaoxing Li, Siyu Li, et al.. (2025). Autonomous Robot-Assisted Endodontic Microsurgery on First Molar in Complex Anatomical Scenarios: A Case Series. Journal of Endodontics. 51(8). 1118–1126.
4.
5.
Huang, Li‐Shan, et al.. (2024). Promotion Time Cure Model with Local Polynomial Estimation. Statistics in Biosciences. 16(3). 824–853.
6.
Tang, Zhiqun, et al.. (2024). Association between age, gender, and oral traumatic ulcerative lesions: a retrospective study. BMC Oral Health. 24(1). 536–536.
7.
Zeng, Weihong, et al.. (2023). Comparison of the efficacy and safety of total laparoscopic hysterectomy without and with uterine manipulator combined with pelvic lymphadenectomy for early cervical cancer. Journal of obstetrics and gynaecology research. 49(10). 2468–2474. 2 indexed citations
8.
Huang, Li‐Shan, et al.. (2023). Resilient supply chain emergency management strategy of cruise ship supply based on node fails under disruptions. International Journal of Shipping and Transport Logistics. 17(1/2). 164–181. 1 indexed citations
9.
10.
Hanin, Leonid & Li‐Shan Huang. (2014). Identifiability of cure models revisited. Journal of Multivariate Analysis. 130. 261–274. 31 indexed citations
11.
Yan, Yan, Shuhua Chen, Jian Li, et al.. (2014). Epidemiological characteristics of acute disseminated encephalomyelitis in Nanchang, China: a retrospective study. BMC Public Health. 14(1). 111–111. 26 indexed citations
12.
Huang, Li‐Shan, Ahmad Beirami, Mohsen Sardari, et al.. (2014). Packet-level clustering for memory-assisted compression of network packets. 1–6. 2 indexed citations
13.
Guzick, David S., et al.. (2011). Randomized trial of leuprolide versus continuous oral contraceptives in the treatment of endometriosis-associated pelvic pain. Fertility and Sterility. 95(5). 1568–1573. 81 indexed citations
14.
Davidson, Philip W., Deborah A. Cory‐Slechta, Sally W. Thurston, et al.. (2011). Fish consumption and prenatal methylmercury exposure: Cognitive and behavioral outcomes in the main cohort at 17 years from the Seychelles child development study. NeuroToxicology. 32(6). 711–717. 91 indexed citations
15.
Simon, Rochelle A., Paul A. di Sant'Agnese, Li‐Shan Huang, et al.. (2008). CD44 expression is a feature of prostatic small cell Carcinoma and Distinguishes it from its Mimickers. Human Pathology. 40(2). 252–258. 60 indexed citations
16.
Beckett, William S., David Chalupa, Donna M. Speers, et al.. (2005). Comparing Inhaled Ultrafine versus Fine Zinc Oxide Particles in Healthy Adults. American Journal of Respiratory and Critical Care Medicine. 171(10). 1129–1135. 121 indexed citations
17.
Dai, Lijun, et al.. (2005). The early embryo loss caused by 2,3,7,8-tetrachlorodibenzo-p-dioxin may be related to the accumulation of this compound in the uterus. Reproductive Toxicology. 21(3). 301–306. 30 indexed citations
18.
Hall, Peter & Li‐Shan Huang. (2002). UNIMODAL DENSITY ESTIMATION USING KERNEL METHODS. Statistica Sinica. 22 indexed citations
19.
Gijbels, Irène, et al.. (1996). A study of variable bandwidth selection for local polynomial regression. Statistica Sinica. 6(1). 113–127. 75 indexed citations
20.
Fan, Jianqing, et al.. (1993). An asymptotic study of variable bandwidth selection for local polynomial regression with application to density estimation. NCSU Libraries Repository (North Carolina State University Libraries). 4 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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