Dongmei Li

10.3k total citations · 3 hit papers
373 papers, 6.4k citations indexed

About

Dongmei Li is a scholar working on Physiology, Molecular Biology and Public Health, Environmental and Occupational Health. According to data from OpenAlex, Dongmei Li has authored 373 papers receiving a total of 6.4k indexed citations (citations by other indexed papers that have themselves been cited), including 78 papers in Physiology, 73 papers in Molecular Biology and 43 papers in Public Health, Environmental and Occupational Health. Recurrent topics in Dongmei Li's work include Smoking Behavior and Cessation (55 papers), Epigenetics and DNA Methylation (13 papers) and Topic Modeling (10 papers). Dongmei Li is often cited by papers focused on Smoking Behavior and Cessation (55 papers), Epigenetics and DNA Methylation (13 papers) and Topic Modeling (10 papers). Dongmei Li collaborates with scholars based in United States, China and Canada. Dongmei Li's co-authors include Po‐Hsuan Hsu, David Hirshleifer, Zidian Xie, Irfan Rahman, Isaac K. Sundar, Timothy Dye, Deborah J. Ossip, Martin S. Zand, Maciej Ł. Goniewicz and Sandra A. LeVasseur and has published in prestigious journals such as Angewandte Chemie International Edition, SHILAP Revista de lepidopterología and Journal of Financial Economics.

In The Last Decade

Dongmei Li

342 papers receiving 6.2k citations

Hit Papers

Innovative efficiency and stock returns 2012 2026 2016 2021 2012 2016 2022 200 400 600

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Dongmei Li United States 38 1.6k 1.1k 715 492 485 373 6.4k
William Henley United Kingdom 48 768 0.5× 1.2k 1.0× 685 1.0× 1.2k 2.4× 483 1.0× 180 9.0k
David Young United Kingdom 47 1.1k 0.7× 904 0.8× 925 1.3× 629 1.3× 968 2.0× 338 8.0k
Hyun‐Young Park South Korea 45 1.2k 0.7× 799 0.7× 931 1.3× 853 1.7× 396 0.8× 300 6.9k
Jun Lv China 49 1.5k 1.0× 1.5k 1.3× 1.5k 2.1× 1.7k 3.4× 578 1.2× 523 10.5k
Xue Li China 43 1.8k 1.1× 492 0.4× 842 1.2× 230 0.5× 506 1.0× 563 8.5k
Susanne May United States 38 410 0.3× 486 0.4× 1.3k 1.9× 574 1.2× 528 1.1× 113 8.1k
Shuo Chen China 43 1.1k 0.7× 441 0.4× 764 1.1× 387 0.8× 588 1.2× 315 7.6k
Martin T. Wells United States 37 478 0.3× 306 0.3× 425 0.6× 311 0.6× 212 0.4× 251 7.1k
Jong‐Il Kim South Korea 54 5.2k 3.2× 992 0.9× 752 1.1× 237 0.5× 1.1k 2.2× 436 11.9k
Bo Lü United States 44 1.7k 1.1× 512 0.4× 456 0.6× 362 0.7× 1.2k 2.5× 295 7.5k

Countries citing papers authored by Dongmei Li

Since Specialization
Citations

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

Fields of papers citing papers by Dongmei Li

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Dongmei Li. 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 Dongmei Li. The network helps show where Dongmei Li may publish in the future.

Co-authorship network of co-authors of Dongmei Li

This figure shows the co-authorship network connecting the top 25 collaborators of Dongmei Li. A scholar is included among the top collaborators of Dongmei Li 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 Dongmei Li. Dongmei Li 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.
Li, Dongmei, et al.. (2025). Adaptive knowledge-augmented multi-domain recommendation with large language models. Information Fusion. 126. 103619–103619.
2.
Zhang, Shibing, et al.. (2025). Helium Speech Recognition Method Based on Spectrogram with Deep Learning. Big Data and Cognitive Computing. 9(5). 136–136. 1 indexed citations
3.
Xu, Fu, et al.. (2024). Knowledge-enhanced meta-prompt for few-shot relation extraction. Computer Speech & Language. 91. 101762–101762.
5.
Kassem, Nada, Robert M. Strongin, Marielle C. Brinkman, et al.. (2024). Toxicity of waterpipe tobacco smoking: the role of flavors, sweeteners, humectants, and charcoal. Toxicological Sciences. 201(2). 159–173. 1 indexed citations
6.
Zand, Martin S., Christopher L. Seplaki, Jonathan Herington, et al.. (2024). Ventilation during COVID-19 in a school for students with intellectual and developmental disabilities (IDD). PLoS ONE. 19(4). e0291840–e0291840. 1 indexed citations
8.
Xie, Zidian, et al.. (2023). Public Perceptions on the Policy of Electronic Cigarettes as Medical Products on Twitter. International Journal of Environmental Research and Public Health. 20(3). 2618–2618. 3 indexed citations
9.
Tan, Dongli, Rui Dong, Zhiqing Zhang, et al.. (2023). Multi-objective impact mechanism on the performance characteristic for a diesel particulate filter by RF-NSGA III-TOPSIS during soot loading. Energy. 286. 129582–129582. 38 indexed citations
10.
Laestadius, Linnea, Julia Vassey, Jenny E. Ozga, et al.. (2023). Tobacco, nicotine and counter-marketing promotions using Instagram’s branded content tool. Tobacco Control. 34(3). 369–373. 6 indexed citations
11.
Xie, Zidian, Rachel Grana, Deborah J. Ossip, et al.. (2022). Perceptions of Oral Nicotine Pouches on Reddit: Observational Study. Journal of Medical Internet Research. 24(7). e37071–e37071. 20 indexed citations
12.
Laestadius, Linnea, Julia Vassey, Minji Kim, et al.. (2022). Themes in e-liquid concept names as a marketing tactic: evidence from Premarket Tobacco Product Applications in the USA. Tobacco Control. 33(3). 412–413. 7 indexed citations
13.
Li, Dongmei, et al.. (2022). Predictors of Secondhand Smoke Exposure During Pregnancy in Costa Rica, the Dominican Republic, and Honduras. Nicotine & Tobacco Research. 24(6). 909–913. 2 indexed citations
14.
Kong, Yaning, Dongmei Li, Chunshan Li, Dianhui Chu, & Zekun Yao. (2021). A Multi-source Heterogeneous Data Storage and Retrieval System for Intelligent Manufacturing. 82–87. 1 indexed citations
15.
Li, Dongmei, Richard J. O’Connor, Daniel P. Croft, et al.. (2021). Perceptions of Tobacco Product-Specific COVID-19 Risk and Changes in Tobacco Use Behaviors Among Smokers, E-Cigarette Users, and Dual Users. Nicotine & Tobacco Research. 23(9). 1617–1622. 38 indexed citations
16.
Li, Dongmei, et al.. (2020). Supportive Care for Superutilizers of a Managed Care Organization. Journal of Palliative Medicine. 23(11). 1444–1451. 2 indexed citations
17.
Wagner, Aaron B., Elaine Hill, Ziteng Sun, et al.. (2020). Social distancing merely stabilized COVID‐19 in the United States. Stat. 9(1). e302–e302. 20 indexed citations
18.
Xie, Zidian, et al.. (2020). Electronic Cigarette–Related Contents on Instagram: Observational Study and Exploratory Analysis. JMIR Public Health and Surveillance. 6(4). e21963–e21963. 25 indexed citations
19.
Katz, Alan R., et al.. (2012). Associations between national tuberculosis program budgets and tuberculosis outcomes: an ecological study. SHILAP Revista de lepidopterología. 3 indexed citations
20.
Sullivan, Kathleen M., Joachim G. Voss, & Dongmei Li. (2010). Female Disclosure of HIV-Positive Serostatus to Sex Partners: A Two-City Study. Women & Health. 50(6). 506–526. 19 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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