Investigation on the trends and characteristics of articles on submerged macrophytes: perception from bibliometrics between 1991 and 2018

References

• Aria M, Cuccurullo C. 2017. bibliometrix: an R-tool for comprehensive science mapping analysis. J Informetr. 11(4):959–975.
   Web of Science ®Google Scholar
• Blei DM, Ng AY, Jordan MI. 2003. Latent dirichlet allocation. J Mach Learn Res. 3:993–1022.
   Web of Science ®Google Scholar
• Cao Y, Wang W, Li W. 2018. Letter to the Editor Re: Yu Qing, Wang Hai-Jun, Wang Hong-Zhu, Li Yan, Liang Xiao-Min, Xu Chi, Jeppesen Erik Does the responses of Vallisneria natans (Lour.) Hara to high nitrogen loading differ between the summer high-growth season and the low-growth sea. Sci Total Environ. 610:75–76.
   PubMed Web of Science ®Google Scholar
• Hornik K, Grün B. 2011. Topicmodels: an R package for fitting topic models. J Stat Softw. 40:1–30.
   Web of Science ®Google Scholar
• Hupfer M, Dollan A. 2003. Immobilisation of phosphorus by iron-coated roots of submerged macrophytes. Hydrobiologia. 506:635–640.
   Web of Science ®Google Scholar
• Jeppesen E, Jensen JP, Kristensen P, Søndergaard M, Mortensen E, Sortkjaer O, Olrik K. 1990. Fish manipulation as a lake restoration tool in shallow, eutrophic, temperate lakes 2: threshold levels, long-term stability and conclusions In: Biomanipulation Tool Water Manag. Dordrecht, The Netherlands: Kluwer Academic Publishers; p. 219–227.
   Google Scholar
• Jeppesen E, Lauridsen TL, Kairesalo T, Perrow MR. 1998. Impact of submerged macrophytes on fish-zooplankton interactions in lakes In: Structure role of submerged macrophytes in shallow lakes. New York: Springer Science & Business Media; p. 91–114.
   Google Scholar
• Jeppesen E, Sondergaard M, Jensen JP, Havens KE, Anneville O, Carvalho L, Coveney MF, Deneke R, Dokulil MT, Foy BOB, et al. 2005. Lake responses to reduced nutrient loading–an analysis of contemporary long‐term data from 35 case studies. Freshwater Biol. 50(10):1747–1771.
   Web of Science ®Google Scholar
• Jeppesen E, Sondergaard M, Sondergaard M, Christofferson K. 1998. The structuring role of submerged macrophytes in lakes. Springer Science & Business Media.
   Google Scholar
• Jiang HS, Zhang Y, Yin L, Li W, Jin Q, Fu W, Zhang T, Huang W. 2018. Diurnal changes in photosynthesis by six submerged macrophytes measured using fluorescence. Aquat Bot. 149:33–39.
   Web of Science ®Google Scholar
• Jin B, Rousseau R. 2004. Evaluation of research performance and scientometric indicators in China. In: Handbook of Quantitative Science and Technology Research. Dordrecht: Springer; p. 497–514.
   Google Scholar
• Landauer TK, Foltz PW, Laham D. 1998. An introduction to latent semantic analysis. Discourse Process. 25(2–3):259–284.
   Web of Science ®Google Scholar
• Liu X, Zhang L, Hong S. 2011. Global biodiversity research during 1900–2009: a bibliometric analysis. Biodivers Conserv 20(4):807–826.
   Web of Science ®Google Scholar
• Meerhoff M, Clemente JM, de Mello FT, Iglesias C, Pedersen AR, Jeppesen E. 2007. Can warm climate-related structure of littoral predator assemblies weaken the clear water state in shallow lakes?. Global Change Biol. 13(9):1888–1897.
   Web of Science ®Google Scholar
• Meyer D, Hornik K, Feinerer I. 2008. Text mining infrastructure in R. J Stat Softw. 25:1–54.
   Web of Science ®Google Scholar
• Nielsen A, Bolding K, Hu F, Trolle D. 2017. An open source QGIS-based workflow for model application and experimentation with aquatic ecosystems. Environ Model Softw. 95:358–364.
   Web of Science ®Google Scholar
• Peng K, Deng J, Gong Z, Qin B. 2019. Characteristics and development trends of ecohydrology in lakes and reservoirs: insights from bibliometrics. Ecohydrology. 12:e2080.
   Web of Science ®Google Scholar
• Qiu H, Chen Y-F. 2009. Bibliometric analysis of biological invasions research during the period of 1991 to 2007. Scientometrics. 81(3):601.
   Web of Science ®Google Scholar
• Søndergaard M, Jeppesen E, Lauridsen TL, Skov C, Van Nes EH, Roijackers R, Lammens E, Portielje R. 2007. Lake restoration: successes, failures and long‐term effects. J Appl Ecol. 44(6):1095–1105.
   Web of Science ®Google Scholar
• Søndergaard M, Liboriussen L, Pedersen AR, Jeppesen E. 2008. Lake restoration by fish removal: short-and long-term effects in 36 Danish lakes. Ecosystems. 11(8):1291–1305.
   Web of Science ®Google Scholar
• Van Donk E, Van de Bund WJ. 2002. Impact of submerged macrophytes including charophytes on phyto- and zooplankton communities: allelopathy versus other mechanisms. Aquat Bot. 72(3–4):261–274.
   Web of Science ®Google Scholar
• Wang L. 2016. The structure and comparative advantages of China’s scientific research: quantitative and qualitative perspectives. Scientometrics. 106(1):435–452.
   Web of Science ®Google Scholar
• Xie Y, Zhang C, Lai Q. 2014. China’s rise as a major contributor to science and technology. Proc Natl Acad Sci USA. 111(26):9437–9442.
   PubMed Web of Science ®Google Scholar
• Zhang Y, Yao X, Qin B. 2016. A critical review of the development, current hotspots, and future directions of Lake Taihu research from the bibliometrics perspective. Environ Sci Pollut Res. 23(13):12811–12821.
   PubMed Web of Science ®Google Scholar
• Zhang Z, Cao Y, Jeppesen E, Li W. 2016. The response of Vallisneria spinulosa (Hydrocharitaceae) and plankton to pulse addition of inorganic nitrogen with different loading patterns. Hydrobiologia. 767(1):175–184.
   Web of Science ®Google Scholar
• Zhou Y, Li X, Zhao Y, Zhou W, Li L, Wang B, Cui X, Chen J, Song Z. 2016. Divergences in reproductive strategy explain the distribution ranges of Vallisneria species in China. Aquat Bot. 132:41–48.
   Web of Science ®Google Scholar