Li Ni

Active 1992–2026

296
Papers
22,644
Citations
60
h-index
195
i10-index

Citations

Citations per year for Li Ni1976: 1 citations1978: 1 citations1983: 1 citations1987: 1 citations1992: 2 citations1993: 3 citations1994: 3 citations1995: 6 citations1996: 11 citations1997: 9 citations1998: 5 citations1999: 6 citations2000: 16 citations2001: 7 citations2002: 22 citations2003: 91 citations2004: 115 citations2005: 120 citations2006: 102 citations2007: 89 citations2008: 107 citations2009: 90 citations2010: 85 citations2011: 84 citations2012: 92 citations2013: 79 citations2014: 85 citations2015: 92 citations2016: 82 citations2017: 84 citations2018: 79 citations2019: 314 citations2020: 522 citations2021: 862 citations2022: 1,107 citations2023: 1,012 citations2024: 1,803 citations2025: 1,098 citations2026: 86 citations1977: no citations, so this year is not shown1979–1982: no citations, so these years are not shown1984–1986: no citations, so these years are not shown1988–1991: no citations, so these years are not shown

Citation sources

Countries

World map of the countries and regions citing this authorChina: 3,099 citing papers, 25.8% of this breakdownUnited States: 2,489 citing papers, 20.7% of this breakdownUnited Kingdom: 678 citing papers, 5.7% of this breakdownGermany: 571 citing papers, 4.8% of this breakdownCanada: 470 citing papers, 3.9% of this breakdownSpain: 301 citing papers, 2.5% of this breakdownFrance: 259 citing papers, 2.2% of this breakdownItaly: 255 citing papers, 2.1% of this breakdownJapan: 245 citing papers, 2% of this breakdownNetherlands: 235 citing papers, 2% of this breakdownAustralia: 232 citing papers, 1.9% of this breakdownIndia: 215 citing papers, 1.8% of this breakdown
0%25.8%Other 24.6%

Fields

  • Biochemistry, Genetics and Molecular Biology44.9%
  • Medicine22%
  • Agricultural and Biological Sciences7.1%
  • Computer Science6.3%
  • Engineering4.9%
  • Neuroscience2.9%
  • Other11.9%

Topics

  • Bioinformatics and Genomic Networks3.7%
  • Fungal and yeast genetics research2.7%
  • Gut microbiota and health2.1%
  • Computational Drug Discovery Methods1.7%
  • RNA and protein synthesis mechanisms1.7%
  • Tea Polyphenols and Effects1.7%
  • Other86.4%

Coauthors

All papers

Open in search
  1. The Gene Ontology knowledgebase in 2023

    Authors: , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , Helen Attrill, Gil dos Santos, Steven J Marygold, Victor Strelets, Christopher J. Tabone, Jim Thurmond, Pinglei Zhou, Saadullah H. Ahmed, Praoparn Asanitthong, Diana Luna Buitrago, Meltem N Erdol, Matthew Gage, Mohamed Ali Kadhum, Kan Yan Chloe Li, Miao Long, Aleksandra Michalak, Angeline Pesala, Armalya Pritazahra, Shirin C C Saverimuttu, Renzhi Su, Kate E. Thurlow, Ruth C. Lovering, Colin Logie, Snezhana Oliferenko, Judith A. Blake, Karen Christie, Lori E Corbani, M. Eileen Dolan, Harold Drabkin, David P. Hill, Li Ni, Dmitry Sitnikov, Cynthia L. Smith, Alayne Cuzick, James Seager, Laurel Cooper, Justin Elser, Pankaj Jaiswal, Parul Gupta, Pankaj Jaiswal, Sushma Naithani, Manuel Lera-Ramírez, Kim Rutherford, Valerie Wood, Jeffrey L De Pons, Melinda R. Dwinell, G. Thomas Hayman, Mary L. Kaldunski, Anne E. Kwitek, Stanley J. F. Laulederkind, Marek Tutaj, Mahima Vedi, Shur‐Jen Wang, Peter D’Eustachio, Lucila Aimo, Kristian B. Axelsen, Alan Bridge, Nevila Hyka‐Nouspikel, Anne Morgat, Suzi Aleksander, J. Michael Cherry, Stacia R. Engel, Kalpana Karra, Stuart R. Miyasato, Robert S Nash, Marek S. Skrzypek, Shuai Weng, Edith D. Wong, Erika Bakker, Tanya Berardini and 212 more - Genetics 2023 cited by 2,702

  2. The Gene Ontology resource: enriching a GOld mine

    Authors: , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , Pinglei Zhou, Joshua L. Goodman, Victor Strelets, Jim Thurmond, Penelope Garmiri, Rizwan Ishtiaq, M. Rodríguez-López, Márcio Luís Acencio, Martin Kuiper, Astrid Lægreid, Colin Logie, Ruth C. Lovering, Barbara Kramarz, Shirin C C Saverimuttu, Sandra De Miranda Pinheiro, Heather Gunn, Renzhi Su, Kate E. Thurlow, Marcus C. Chibucos, Michelle Giglio, Suvarna Nadendla, James B. Munro, Rebecca Jackson, Margaret Duesbury, Noemí del‐Toro, Birgit Meldal, Kalpana Paneerselvam, Livia Perfetto, Pablo Porras, Sandra Orchard, Anjali Shrivastava, Hsin-Yu Chang, ROBERT FINN, Alex Mitchell, Neil D. Rawlings, Lorna Richardson, Amaia Sangrador‐Vegas, Judith A. Blake, Karen Christie, M. Eileen Dolan, Harold Drabkin, David P. Hill, Li Ni, Dmitry Sitnikov, Midori A. Harris, Stephen G. Oliver, Kim Rutherford, Valerie Wood, Jaqueline Hayles, Jürg Bähler, Elizabeth R. Bolton, Jeffery L De Pons, Melinda R. Dwinell, G. Thomas Hayman, Mary L. Kaldunski, Anne E. Kwitek, Stanley J. F. Laulederkind, Cody Plasterer, Marek Tutaj, Mahima Vedi, Shur‐Jen Wang, Peter D’Eustachio, Lisa Matthews, James P. Balhoff, Suzi Aleksander, Michael J. Alexander, J. Michael Cherry, Stacia R. Engel, Felix Gondwe, Kalpana Karra and 81 more - Nucleic Acids Research, Nucleic Acids Res. 2020 cited by 3,880

  3. Model-Informed Multistage Unsupervised Network for Hyperspectral Image Super-Resolution

    Authors: , , , , , - IEEE Transactions on Geoscience and Remote Sensing, IEEE Trans. Geosci. Remote. Sens. 2024 cited by 198

  4. Model-Guided Coarse-to-Fine Fusion Network for Unsupervised Hyperspectral Image Super-Resolution

    Authors: , , , , , - IEEE Geoscience and Remote Sensing Letters, IEEE Geosci. Remote. Sens. Lett. 2023 cited by 124

  5. Mouse Genome Database (MGD): Knowledgebase for mouse-human comparative biology

    Authors: , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , Janice E Ormsby, Michelle Perry, Jill M. Recla, D A Shaw, Dmitry Sitnikov, Monika Tomczuk, Lauren Wilming, Yunxia Zhu - Nucleic Acids Research, Nucleic Acids Res. 2020 cited by 477

  6. Functional profiling of the Saccharomyces cerevisiae genome

    Authors: , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , Daniel F. Jaramillo, Diane Kelly, Steven L. Kelly, Peter Kötter, Darlene LaBonte, David C. Lamb, Ning Lan, Hong Liang, Hong Liao, Lucy Liu, C. Luo, Marc Lussier, Rong Mao, P Ménard, Siew Loon Ooi, José Luis Revuelta, Christopher J. Roberts, Matthias Rose, Petra Ross‐Macdonald, Bart Scherens, Greg Schimmack, Brenda Shafer, Daniel Shoemaker, Sharon Sookhai-Mahadeo, Reginald Storms, Jeffrey N. Strathern, Giorgio Valle, Marleen Voet, Guido Volckaert, Ching-Yun Wang, Teresa R. Ward, Julie Wilhelmy, Elizabeth A. Winzeler, Yonghong Yang, Grace S. Yen, Elaine M. Youngman, Kexin Yu, Howard Bussey, Jef D. Boeke, M Snyder, Peter Philippsen, Ronald W. Davis, Mark Johnston - Nature 2002 cited by 4,547

  7. Mouse Genome Informatics: an integrated knowledgebase system for the laboratory mouse

    Authors: , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , Peter Fröst, Sharon C Giannatto, David B Miers, Howie Motenko, Steven B. Neuhauser, David Shaw, Nancy E Butler, Janice E Ormsby - Genetics 2024 cited by 215

  8. Anti-SARS-CoV-2 activities in vitro of Shuanghuanglian preparations and bioactive ingredients

    Authors: , , , , , , , , , , , , , , , , , , , , , , , - Acta Pharmacologica Sinica 2020 cited by 456

  9. Flavor compounds with high odor activity values (OAV > 1) dominate the aroma of aged Chinese rice wine (Huangjiu) by molecular association

    Authors: , , , , , , , - Food Chemistry 2022 cited by 144

  10. Dynamic changes of volatile and phenolic components during the whole manufacturing process of Wuyi Rock tea (Rougui)

    Authors: , , , - Food Chemistry 2021 cited by 100

  11. Ganoderic acid A from Ganoderma lucidum protects against alcoholic liver injury through ameliorating the lipid metabolism and modulating the intestinal microbial composition

    Authors: , , , , , , , , , - Food & Function 2022 cited by 99

  12. Hypoglycemic and hypolipidemic activities of Grifola frondosa polysaccharides and their relationships with the modulation of intestinal microflora in diabetic mice induced by high-fat diet and streptozotocin

    Authors: , , , , , , , , , , , , , , , - International Journal of Biological Macromolecules 2019 cited by 166

  13. Ganoderic acid A from Ganoderma lucidum ameliorates lipid metabolism and alters gut microbiota composition in hyperlipidemic mice fed a high-fat diet

    Authors: , , , , , , , , , - Food & Function 2020 cited by 94

  14. Vehicle Detection Based on Adaptive Multimodal Feature Fusion and Cross-Modal Vehicle Index Using RGB-T Images

    Authors: , , , , - IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 2023 cited by 38

  15. SI PUF: An SRAM and Inverter-Based PUF With a Bit Error Rate of 0.0053% and 0.073/0.042 pJ/bit

    Authors: , , , , , , - IEEE Transactions on Circuits & Systems II Express Briefs, IEEE Trans. Circuits Syst. II Express Briefs 2023 cited by 31

  16. Grifola frondosapolysaccharides ameliorate lipid metabolic disorders and gut microbiota dysbiosis in high-fat diet fed rats

    Authors: , , , , , , , , , - Food & Function 2019 cited by 181

  17. Microbial communities and volatile metabolites in different traditional fermentation starters used for Hong Qu glutinous rice wine

    Authors: , , , , , , , , , , , , - Food Research International 2018 cited by 150

  18. Role of roasting in the formation of characteristic aroma of wuyi rock tea

    Authors: , , , , - Food Control 2023 cited by 50

  19. Multilayer Cascade Screening Strategy for Semi-Supervised Change Detection in Hyperspectral Images

    Authors: , , , - IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 2022 cited by 44

  20. Exploring core functional microbiota responsible for the production of volatile flavour during the traditional brewing of Wuyi Hong Qu glutinous rice wine

    Authors: , , , , , , , , , , , , - Food Microbiology 2018 cited by 155

  21. Microbial diversity and flavor of Chinese rice wine (Huangjiu): an overview of current research and future prospects

    Authors: , , , , , , , , , , , , - Current Opinion in Food Science 2021 cited by 112

  22. Potential mechanisms underlying the ameliorative effect of Lactobacillus paracasei FZU103 on the lipid metabolism in hyperlipidemic mice fed a high-fat diet

    Authors: , , , , , , , , , - Food Research International 2020 cited by 88

  23. Local community detection by the nearest nodes with greater centrality

    Authors: , , , , - Information Sciences, Inf. Sci. 2020 cited by 76

  24. Multimodal Attention-Aware Convolutional Neural Networks for Classification of Hyperspectral and LiDAR Data

    Authors: , , , , - IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 2022 cited by 45